{ "schema_version": "1.1", "product": { "name": "The GTM MCP Directory", "umbrella": "Agent Operator", "spec": "directory/product/SPEC.md" }, "generated_on": "2026-08-25", "generated_by": "build_directory.py (phase 1)", "source": { "directory": "..", "pattern": "NN-*.md", "files": [ "01-data-enrichment.md", "02-engagement-outbound.md", "03-conversation-intel.md", "04-ai-sdr-agents.md", "05-signals-intent-abm.md", "06-revops-infra.md", "07-mcp-infrastructure.md", "08-video-prospecting.md", "09-email-deliverability.md", "10-scheduling-routing.md", "11-enablement-coaching.md", "12-forecasting-revenue.md", "13-proposals-deals.md", "14-inbound-plg-chat.md", "15-community-dark-social.md" ], "counting_authority": "tools_recount.py", "schema": "SCHEMA.md", "canonical_home_authority": "INDEX.md", "job_vocabulary": "data/jobs.yaml", "job_tags": "data/tags.yaml", "network_calls": 0 }, "counts": { "entries": 293, "canonical_entries": 277, "cross_listed_entries": 16, "categories": 15, "mcp_status": { "official": 144, "community": 21, "none-found": 117, "unknown": 7, "n-a": 4, "other": 0 }, "api_gate": { "free": 57, "paid": 101, "enterprise-only": 45, "enterprise-leaning": 1, "unknown": 83, "n-a": 6, "other": 0 }, "bench_tested": 0, "jobs": 55, "job_families": 10, "entries_tagged": 271, "entries_untagged": 22 }, "sort_rule": "official MCP first, then community, then unknown, then n/a, then none-found; within each band gate order is free, paid, enterprise-leaning, enterprise-only, unknown; then alphabetical by name. Computed, never curated, never purchasable.", "honesty": { "tier_meanings": { "RESEARCHED": "Facts from public sources with URLs. No usage claims. Nobody has run this tool.", "BENCH-TESTED": "Andrew personally ran it on a stated date. Cannot be bought." }, "unmeasured": "github_* and docs_digest are present on every entry and are null or empty everywhere. Nothing has been measured for them yet. jobs[] IS measured as of phase 2; read jobs_meaning before trusting a tag, and note that an empty jobs[] means nobody has tagged that entry, not that the tool does nothing.", "jobs_meaning": "A job tag means THE VENDOR SAYS THE TOOL DOES THIS. Tags were derived from each entry's own what_it_does / ai_features / revops_role text, which is itself RESEARCHED tier: public sources with URLs, no usage claims, nobody has run the tool. A tag is not a test result, not proof the capability is reachable through the tool's MCP server, and not proof it is available on the gate the entry records. bench_tested is still 0.", "last_checked_is_the_stamp": "last_checked is the date the facts in that entry were pulled by hand. generated_on is only the date this file was baked." }, "categories": [ { "num": "01", "slug": "data-enrichment", "label": "Data & Enrichment", "file": "01-data-enrichment.md", "one_line": "B2B contact and company data providers - the databases, waterfall aggregators, and lookup APIs that fill in names, emails, phones, and firmographics before outreach starts. The split that matters most here is access: self-serve API vs. enterprise-sales-gated.", "total": 38, "mcp_status": { "official": 31, "community": 2, "none-found": 5, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 16, "paid": 16, "enterprise-only": 4, "enterprise-leaning": 0, "unknown": 2, "n-a": 0, "other": 0 }, "top_jobs": [ "find-work-email", "enrich-company-from-domain", "find-phone-number", "search-people-by-criteria", "search-companies-by-firmographics", "verify-email-deliverable", "enrich-person-from-linkedin-url", "detect-funding-or-news-event" ], "jobs_tagged": 38, "entry_ids": [ "01-anymail-finder", "01-apollo-io", "01-bettercontact", "01-bright-data", "01-clay", "01-clearbit", "01-cognism", "01-coresignal", "01-crustdata", "01-cufinder", "01-datagma", "01-diffbot", "01-dropcontact", "01-enrow", "01-exa", "01-explorium", "01-fiber-ai", "01-findymail", "01-fullenrich", "01-hunter-io", "01-lead411", "01-leadmagic", "01-lusha", "01-ocean-io", "01-people-data-labs", "01-prospeo", "01-rocketreach", "01-seamless-ai", "01-snov-io", "01-surfe", "01-the-swarm", "01-theirstack", "01-uplead", "01-vainu", "01-versium-reach", "01-warmly", "01-wiza", "01-zoominfo" ], "source_sha256": "6975d3883773eb07ea65209de2607d07f6fc966321bbb05c14a126f309b6bbd7" }, { "num": "02", "slug": "engagement-outbound", "label": "Engagement & Outbound", "file": "02-engagement-outbound.md", "one_line": "The execution layer - sequencers, parallel dialers, and LinkedIn automation tools that actually put messages and calls in front of prospects. MCP maturity here is split sharply: the big sales-engagement platforms (Salesloft, Outreach, lemlist) and several LinkedIn tools have shipped real official servers in 2026, while most parallel dialers and mid-market cold-email tools have none.", "total": 27, "mcp_status": { "official": 15, "community": 2, "none-found": 9, "unknown": 1, "n-a": 0, "other": 0 }, "api_gate": { "free": 1, "paid": 15, "enterprise-only": 1, "enterprise-leaning": 0, "unknown": 10, "n-a": 0, "other": 0 }, "top_jobs": [ "run-email-sequence", "draft-personalized-outreach", "send-linkedin-message", "place-outbound-call", "warm-up-inbox", "search-people-by-criteria", "fetch-buyer-intent-signals", "read-outreach-performance" ], "jobs_tagged": 27, "entry_ids": [ "02-amplemarket", "02-apollo-io-sequences", "02-autobound", "02-expandi", "02-groove", "02-heyreach", "02-instantly", "02-kixie", "02-klenty", "02-la-growth-machine", "02-lemlist", "02-mailshake", "02-mixmax", "02-nooks", "02-orum", "02-outplay", "02-outreach", "02-overloop", "02-phantombuster", "02-quickmail", "02-reply-io", "02-salesforge", "02-salesloft", "02-smartlead", "02-super-send", "02-waalaxy", "02-woodpecker" ], "source_sha256": "40e2fc0e90526348e272037afc880b9c088731aeba6c5d170e6056b1a26cc6cc" }, { "num": "03", "slug": "conversation-intel", "label": "Conversation Intel", "file": "03-conversation-intel.md", "one_line": "Tools that ingest sales calls and turn them into deal risk, coaching, and CRM-writeback signals - the category where \"AI\" ranges from real ML deal scoring to a transcript with a sentiment label glued on. Gong's enterprise sales-gated API next to Fireflies' and Fathom's open, self-serve API is the exact contrast this directory exists to surface.", "total": 24, "mcp_status": { "official": 17, "community": 3, "none-found": 4, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 3, "paid": 7, "enterprise-only": 6, "enterprise-leaning": 1, "unknown": 7, "n-a": 0, "other": 0 }, "top_jobs": [ "summarize-meeting", "fetch-call-transcript", "extract-deal-signals-from-calls", "write-crm-records", "score-rep-performance", "search-call-library", "draft-personalized-outreach", "read-crm-records" ], "jobs_tagged": 24, "entry_ids": [ "03-airspeed", "03-attention", "03-avoma", "03-chorus", "03-circleback", "03-clari", "03-clari-copilot", "03-fathom", "03-fellow", "03-fireflies-ai", "03-gong", "03-grain", "03-granola", "03-highspot", "03-jiminny", "03-meetgeek", "03-momentum", "03-otter-ai", "03-rilla", "03-salesroom", "03-seismic", "03-sybill", "03-tl-dv", "03-zoom-revenue-accelerator" ], "source_sha256": "7f128b545ae4e73bc77f915e7de12905a749a02196d77cea3eceb308395e4156" }, { "num": "04", "slug": "ai-sdr-agents", "label": "AI SDRs", "file": "04-ai-sdr-agents.md", "one_line": "This is the hypest category in the directory - \"AI SDR\" gets stamped on everything from a genuine multi-step research-and-write agent to a rules-based email sequencer with a mascot name. Read `ai_features` before you read `what_it_does`; that's where the vendor copy gets separated from what's actually agentic.", "total": 23, "mcp_status": { "official": 4, "community": 2, "none-found": 17, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 1, "paid": 6, "enterprise-only": 3, "enterprise-leaning": 0, "unknown": 13, "n-a": 0, "other": 0 }, "top_jobs": [ "draft-personalized-outreach", "run-email-sequence", "run-autonomous-sdr-agent", "book-a-meeting", "send-linkedin-message", "place-outbound-call", "fetch-buyer-intent-signals", "search-people-by-criteria" ], "jobs_tagged": 22, "entry_ids": [ "04-11x", "04-aisdr", "04-amplemarket", "04-artisan-ai", "04-clari", "04-conversica", "04-copy-ai", "04-hubspot-breeze", "04-klenty", "04-landbase", "04-luru", "04-madkudu", "04-qualified", "04-regie-ai", "04-relevance-ai", "04-reply-io", "04-rox", "04-salesforce-agentforce", "04-salesforge", "04-terret", "04-tofu", "04-trellus-ai", "04-unify" ], "source_sha256": "258ac7602ddd3986fd04cd38d263bb975e336c57e37b60775965d4472f1b8232" }, { "num": "05", "slug": "signals-intent-abm", "label": "Signals & Intent", "file": "05-signals-intent-abm.md", "one_line": "Tools that try to answer \"who is about to buy, and how do you know.\" The category splits cleanly into two eras: the legacy enterprise intent-data incumbents (6sense, Demandbase, Bombora, HG Insights) sold on annual contracts with no self-serve path, and a newer wave of visitor-ID/job-change/ API-first tools (RB2B, Warmly, Crustdata, TheirStack, PredictLeads) built for solo operators with free tiers and documented MCP servers.", "total": 28, "mcp_status": { "official": 17, "community": 1, "none-found": 9, "unknown": 1, "n-a": 0, "other": 0 }, "api_gate": { "free": 5, "paid": 13, "enterprise-only": 10, "enterprise-leaning": 0, "unknown": 0, "n-a": 0, "other": 0 }, "top_jobs": [ "fetch-buyer-intent-signals", "identify-anonymous-website-visitor", "enrich-company-from-domain", "detect-technographics", "track-job-changes", "find-work-email", "research-account-for-call-prep", "score-and-prioritize-leads" ], "jobs_tagged": 27, "entry_ids": [ "05-6sense", "05-albacross", "05-bombora", "05-centralize", "05-champify", "05-clearbit-reveal", "05-common-room", "05-crossbeam", "05-crustdata", "05-demandbase", "05-factors-ai", "05-g2-buyer-intent", "05-hg-insights", "05-intently", "05-keyplay", "05-koala", "05-leadfeeder", "05-live-data-technologies", "05-predictleads", "05-rb2b", "05-similarweb", "05-snitcher", "05-sumble", "05-theirstack", "05-trigify", "05-usergems", "05-vector", "05-warmly" ], "source_sha256": "e3bfa54c3797c2bbb9942122be3ba49358cd08d969f529108bebe5a790f0a99c" }, { "num": "06", "slug": "revops-infra", "label": "RevOps Infra", "file": "06-revops-infra.md", "one_line": "The systems of record, the pipes between them, and the low-code layer a GTM engineer builds on top. Most of category has genuine AI now in one specific corner of the product - Agentforce, Breeze, AI Agent nodes - bolted onto a much larger base of plain rules-based automation. This file tries to draw that line honestly for each one.", "total": 23, "mcp_status": { "official": 22, "community": 0, "none-found": 1, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 12, "paid": 7, "enterprise-only": 3, "enterprise-leaning": 0, "unknown": 1, "n-a": 0, "other": 0 }, "top_jobs": [ "run-automation-workflow", "sync-records-between-systems", "read-crm-records", "write-crm-records", "score-and-prioritize-leads", "enrich-company-from-domain", "run-email-sequence", "draft-personalized-outreach" ], "jobs_tagged": 21, "entry_ids": [ "06-affinity", "06-airbyte", "06-attio", "06-cargo", "06-census", "06-close", "06-default", "06-fivetran", "06-highlevel", "06-hightouch", "06-hubspot", "06-make", "06-n8n", "06-octave", "06-openprise", "06-ortto", "06-pipedrive", "06-retool", "06-salesforce-agentforce", "06-snowflake", "06-superblocks", "06-syncari", "06-zapier" ], "source_sha256": "5b4b22b49723abe54bd31aa941f256027b0c226c00bf53dff8c41dd450d0a4f8" }, { "num": "07", "slug": "mcp-infrastructure", "label": "MCP Layer", "file": "07-mcp-infrastructure.md", "one_line": "The layer that sits between an AI agent and the hundred SaaS apps a GTM team actually runs on: registries that just list servers, and aggregators that host/broker them. The load-bearing question for every entry below is who holds the OAuth tokens when you connect - read `notes` before you wire anything into a production agent.", "total": 13, "mcp_status": { "official": 7, "community": 0, "none-found": 1, "unknown": 1, "n-a": 4, "other": 0 }, "api_gate": { "free": 7, "paid": 2, "enterprise-only": 0, "enterprise-leaning": 0, "unknown": 4, "n-a": 0, "other": 0 }, "top_jobs": [ "proxy-tool-calls-to-saas", "discover-mcp-servers", "read-crm-records", "write-crm-records" ], "jobs_tagged": 10, "entry_ids": [ "07-apideck", "07-claude-anthropic-mcp-connector-directory", "07-composio", "07-glama", "07-klavis-ai", "07-mcp-run-turbomcp", "07-mcp-so", "07-metorial", "07-model-context-protocol-official-servers-repo", "07-pipedream-mcp", "07-pulsemcp", "07-smithery", "07-zapier-mcp" ], "source_sha256": "d05be641445b3c916edde6b0e71d2664f383f12323110e2eae3470891548d119" }, { "num": "08", "slug": "video-prospecting", "label": "Video Prospecting", "file": "08-video-prospecting.md", "one_line": "Personalized video for outbound - a rep records one clip, and the tool inserts the prospect's name, company, or website into it (either simple templated overlay or genuine AI voice-clone/avatar generation), then tracks opens inside an email or sequence. MCP maturity here is close to zero: the only two official servers found (Tavus, HeyGen) belong to general-purpose AI-avatar platforms that happen to have a sales use case, not the dedicated video-prospecting vendors, which have shipped nothing publishable yet - several rely on generic Zapier MCP gateways instead of a first-party server.", "total": 14, "mcp_status": { "official": 3, "community": 6, "none-found": 4, "unknown": 1, "n-a": 0, "other": 0 }, "api_gate": { "free": 1, "paid": 4, "enterprise-only": 1, "enterprise-leaning": 0, "unknown": 8, "n-a": 0, "other": 0 }, "top_jobs": [ "create-and-send-prospecting-video", "read-outreach-performance", "book-a-meeting", "answer-inbound-chat", "create-digital-sales-room" ], "jobs_tagged": 14, "entry_ids": [ "08-bombbomb", "08-bonjoro", "08-covideo", "08-dubb", "08-heygen", "08-hippo-video", "08-loom", "08-potion", "08-quickpage", "08-sendspark", "08-tavus", "08-trumpet", "08-vidyard", "08-weezly" ], "source_sha256": "2bdfaf04fc9f64f4f5332bd74075f08197ea353aaee15529aeb926de277a8772" }, { "num": "09", "slug": "email-deliverability", "label": "Email Deliverability", "file": "09-email-deliverability.md", "one_line": "Inbox-placement testing, warmup, and DNS-authentication (SPF/DKIM/DMARC) tooling that keeps cold-outbound infrastructure out of spam. Standing risk worth flagging once here rather than per entry: automated warmup - seed inboxes auto-opening/replying/starring your mail to fake engagement - sits in real tension with mailbox-provider ToS. Google banned automated email warm-up services for Gmail accounts in a January 2023 policy change, and Google/Yahoo/Microsoft jointly enforce bulk-sender rules (sub-0.3% spam complaints, sub-2% bounce) as of May 2025; GMass shut its own warm-up feature down as a result. Several vendors below (InboxAlly explicitly) market themselves as the safer alternative to network-based/bot-driven warmup for exactly this reason.", "total": 13, "mcp_status": { "official": 4, "community": 0, "none-found": 8, "unknown": 1, "n-a": 0, "other": 0 }, "api_gate": { "free": 1, "paid": 9, "enterprise-only": 0, "enterprise-leaning": 0, "unknown": 3, "n-a": 0, "other": 0 }, "top_jobs": [ "warm-up-inbox", "provision-sending-infrastructure", "check-inbox-placement", "verify-email-deliverable" ], "jobs_tagged": 13, "entry_ids": [ "09-allegrow", "09-folderly", "09-glockapps", "09-hypertide", "09-inboxally", "09-infraforge", "09-maildoso", "09-mailforge", "09-mailgenius", "09-mailreach", "09-scaledmail", "09-warmup-inbox", "09-warmy-io" ], "source_sha256": "32f0461964693b184e9be3a482ffe581c0bad87322febf875164d1f8f335cd8f" }, { "num": "10", "slug": "scheduling-routing", "label": "Scheduling & Routing", "file": "10-scheduling-routing.md", "one_line": "The last mile of a GTM motion: turning a qualified lead into a meeting on a rep's calendar, instantly and to the right person, then keeping that rep's own calendar sane. Three sub-lanes live in this file - prospect-facing booking pages (Calendly, Cal.com, SavvyCal), inbound lead-routing/handoff engines (Chili Piper, Default, RevenueHero, Kronologic, LeanData), and personal calendar-intelligence tools for reps/AEs (Motion, Reclaim.ai, Clockwise, Trevor AI) - plus two adjacent discovery finds (Clara, Doodle). MCP maturity here splits the same way category-06 does: the open-source/API-first booking tools (Cal.com, Calendly) shipped clean official servers, while most routing engines and personal-calendar apps have none or only community ones.", "total": 14, "mcp_status": { "official": 6, "community": 2, "none-found": 5, "unknown": 1, "n-a": 0, "other": 0 }, "api_gate": { "free": 2, "paid": 4, "enterprise-only": 1, "enterprise-leaning": 0, "unknown": 7, "n-a": 0, "other": 0 }, "top_jobs": [ "read-calendar-availability", "book-a-meeting", "route-inbound-lead", "score-and-prioritize-leads", "enrich-company-from-domain", "summarize-meeting", "answer-inbound-chat", "run-automation-workflow" ], "jobs_tagged": 13, "entry_ids": [ "10-cal-com", "10-calendly", "10-chili-piper", "10-clara", "10-clockwise", "10-default", "10-doodle", "10-kronologic", "10-leandata", "10-motion", "10-reclaim-ai", "10-revenuehero", "10-savvycal", "10-trevor-ai" ], "source_sha256": "c0fcd4082c0bb6024d55fd0032eac39e33ebe98a9331d489487e548a87420185" }, { "num": "11", "slug": "enablement-coaching", "label": "Enablement & Coaching", "file": "11-enablement-coaching.md", "one_line": "Content-management-and-training platforms (Mindtickle, WorkRamp, Continu, Trainual) sit alongside a newer cluster of purpose-built AI roleplay tools (Second Nature, Hyperbound, Quantified, Luster, Dialworks) where the AI *is* the product - dynamic AI buyer personas that argue back, not scripted branching trees. Highspot and Seismic are covered in 03-conversation-intel.md (their conversation-intelligence/call-analysis modules qualify them there); not duplicated here.", "total": 14, "mcp_status": { "official": 1, "community": 1, "none-found": 12, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 0, "paid": 1, "enterprise-only": 0, "enterprise-leaning": 0, "unknown": 13, "n-a": 0, "other": 0 }, "top_jobs": [ "score-rep-performance", "run-sales-roleplay-practice", "retrieve-sales-content", "draft-personalized-outreach" ], "jobs_tagged": 11, "entry_ids": [ "11-allego", "11-bigtincan-readiness", "11-continu", "11-dialworks", "11-hyperbound", "11-lavender", "11-luster", "11-mindtickle", "11-quantified", "11-second-nature", "11-showpad", "11-spekit", "11-trainual", "11-workramp" ], "source_sha256": "941cc061c5470718a055d8255fbaf0bc60029e0139f28e782e44c5548e01d373" }, { "num": "12", "slug": "forecasting-revenue", "label": "Forecasting & Revenue", "file": "12-forecasting-revenue.md", "one_line": "Tools that try to answer \"how much will we actually close this quarter\" - CRM-native ML forecast engines (BoostUp/Terret, Aviso, Kluster) sold sales-led and quote-only, incentive-comp platforms that tie forecast risk to rep behavior (Xactly, Varicent), FP&A tools that model revenue top-down as one planning use case among several (Vareto, Cube Software, Pigment, Anaplan), and forecasting bolted onto core CRMs for free (Salesforce, HubSpot). The tension: almost every vendor in this category quotes a specific forecast-accuracy percentage with no published methodology behind a demo-request wall, and a real, self-serve MCP server is the exception rather than the rule - Pigment and Cube Software are the only two found here with one.", "total": 17, "mcp_status": { "official": 3, "community": 0, "none-found": 14, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 1, "paid": 3, "enterprise-only": 6, "enterprise-leaning": 0, "unknown": 7, "n-a": 0, "other": 0 }, "top_jobs": [ "read-pipeline-forecast", "model-revenue-plan", "extract-deal-signals-from-calls", "write-crm-records", "draft-personalized-outreach", "read-crm-records", "run-automation-workflow", "score-rep-performance" ], "jobs_tagged": 17, "entry_ids": [ "12-anaplan", "12-aviso", "12-boostup", "12-cube-software", "12-ebsta", "12-forecastio", "12-gong-forecast", "12-hubspot", "12-kluster", "12-mediafly", "12-pigment", "12-pipedrive", "12-revenue-io", "12-salesforce-einstein-forecasting", "12-vareto", "12-varicent", "12-xactly" ], "source_sha256": "fc7549761dd3aee467d0c6bc5aa05a600aff1904731ebab83b18a71585ac24cc" }, { "num": "13", "slug": "proposals-deals", "label": "Proposals & Deals", "file": "13-proposals-deals.md", "one_line": "Late-stage sales tooling - proposal/quote generation, e-signature, digital deal rooms, RFP response, and contract lifecycle management. This is the category where MCP adoption is oddly ahead of the rest of the directory: PandaDoc, DocuSign, Ironclad, Common Paper, Trumpet, and even RFP tools like Responsive and Arphie all shipped official servers within months of each other in 2026, several with near-identical \"$50/mo + per-answer usage\" pricing - worth watching whether that's convergent design or a shared backend vendor.", "total": 14, "mcp_status": { "official": 7, "community": 0, "none-found": 6, "unknown": 1, "n-a": 0, "other": 0 }, "api_gate": { "free": 4, "paid": 6, "enterprise-only": 3, "enterprise-leaning": 0, "unknown": 0, "n-a": 1, "other": 0 }, "top_jobs": [ "send-document-for-signature", "generate-proposal-or-quote", "create-digital-sales-room", "read-contract-terms", "draft-rfp-response", "create-and-send-prospecting-video", "read-outreach-performance" ], "jobs_tagged": 14, "entry_ids": [ "13-aligned", "13-arphie", "13-common-paper", "13-dealhub", "13-docusign", "13-getaccept", "13-ironclad", "13-loopio", "13-pandadoc", "13-proposify", "13-qwilr", "13-recapped-io", "13-responsive", "13-trumpet" ], "source_sha256": "567a76aa4a885232a45706fe942db19f0a8697e956a21faa595d686a4272baeb" }, { "num": "14", "slug": "inbound-plg-chat", "label": "Inbound & PLG Chat", "file": "14-inbound-plg-chat.md", "one_line": "Tools that sit on the receiving end of demand - website chat that qualifies and books a visitor before a human ever joins, in-app signal tools that turn free-trial usage into a sales-ready account, and the newer wave of AI-SDR-for-inbound entrants trying to do both. The defining tension: this category has an unusually high mortality rate. Of the ten seed tools researched for this file, three (Pocus, Correlated, Toplyne) are confirmed dead or absorbed and two more (Drift, Ultimate.ai) are folded into an acquirer's platform rather than sold standalone - suggesting \"PLG signal tool\" and \"chat widget\" were never durable categories on their own, just features that bigger platforms eventually swallowed.", "total": 15, "mcp_status": { "official": 5, "community": 0, "none-found": 10, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 2, "paid": 3, "enterprise-only": 2, "enterprise-leaning": 0, "unknown": 4, "n-a": 4, "other": 0 }, "top_jobs": [ "answer-inbound-chat", "book-a-meeting", "score-and-prioritize-leads", "research-account-for-call-prep", "run-email-sequence", "draft-personalized-outreach", "run-autonomous-sdr-agent", "read-calendar-availability" ], "jobs_tagged": 10, "entry_ids": [ "14-ada", "14-chatbase", "14-chili-piper", "14-correlated", "14-drift", "14-endgame", "14-forethought", "14-intercom", "14-landbot", "14-pocus", "14-pylon", "14-qualified", "14-tidio", "14-toplyne", "14-ultimate-ai" ], "source_sha256": "6b62f3128ce4efbb67f6118edabc2c64580faee073a741d430b68597086edddc" }, { "num": "15", "slug": "community-dark-social", "label": "Community & Dark Social", "file": "15-community-dark-social.md", "one_line": "Tools that surface what's happening in the channels a CRM and normal web analytics can't see - Slack and Discord communities, Reddit threads, X posts, newsletters, GitHub activity, and forum comments - the raw material of community-led growth and \"dark social\" signal-driven outbound. The tension: a handful of tools here (SparkToro, Syften, Common Room) build genuinely for solo operators and AI agents, with real free tiers or paid-but-reachable MCP servers, while the legacy media-monitoring incumbents (Brandwatch, Meltwater, Talkwalker) remain enterprise-sales-gated dashboards with no self-serve path at all - and this category has an unusually high mortality rate: two of the tools researched here (Orbit, GummySearch) turned out to be dead or shut down mid-research.", "total": 16, "mcp_status": { "official": 2, "community": 2, "none-found": 12, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 1, "paid": 5, "enterprise-only": 5, "enterprise-leaning": 0, "unknown": 4, "n-a": 1, "other": 0 }, "top_jobs": [ "monitor-social-mentions", "fetch-buyer-intent-signals", "score-and-prioritize-leads" ], "jobs_tagged": 10, "entry_ids": [ "15-bevy", "15-brand24", "15-brandwatch", "15-buzzsumo", "15-champion", "15-common-room", "15-commsor", "15-exploding-topics", "15-f5bot", "15-gummysearch", "15-meltwater", "15-mention", "15-orbit", "15-sparktoro", "15-syften", "15-talkwalker" ], "source_sha256": "9d1baacf426badba8d10df56af8231de02887c05d469a36555c4a6a0a480b458" } ], "job_families": [ { "id": "find-people-and-companies", "label": "Find people and companies", "one_liner": "Turn a criterion, a domain, a URL or an email into a record.", "job_count": 7, "job_ids": [ "search-people-by-criteria", "search-companies-by-firmographics", "enrich-person-from-linkedin-url", "enrich-company-from-domain", "reverse-lookup-person-from-email", "build-target-account-list", "discover-warm-intro-paths" ], "entry_count": 97 }, { "id": "get-contact-data", "label": "Get contact data", "one_liner": "Turn a person into a way to reach them, and check it is real.", "job_count": 3, "job_ids": [ "find-work-email", "find-phone-number", "verify-email-deliverable" ], "entry_count": 63 }, { "id": "signals-and-research", "label": "Signals and research", "one_liner": "Find out something changed, or find out what is true right now.", "job_count": 9, "job_ids": [ "identify-anonymous-website-visitor", "fetch-buyer-intent-signals", "track-job-changes", "scrape-job-postings", "detect-technographics", "detect-funding-or-news-event", "scrape-web-page-for-facts", "monitor-social-mentions", "research-account-for-call-prep" ], "entry_count": 117 }, { "id": "outreach-and-engagement", "label": "Outreach and engagement", "one_liner": "Write it, send it, dial it, and read back what happened.", "job_count": 7, "job_ids": [ "run-email-sequence", "send-linkedin-message", "draft-personalized-outreach", "place-outbound-call", "create-and-send-prospecting-video", "read-outreach-performance", "run-autonomous-sdr-agent" ], "entry_count": 184 }, { "id": "conversations-and-meetings", "label": "Conversations and meetings", "one_liner": "Get a meeting on the calendar and get the words out of it.", "job_count": 7, "job_ids": [ "fetch-call-transcript", "search-call-library", "summarize-meeting", "extract-deal-signals-from-calls", "book-a-meeting", "read-calendar-availability", "answer-inbound-chat" ], "entry_count": 127 }, { "id": "systems-of-record", "label": "Systems of record and plumbing", "one_liner": "Read, write and move the data the rest of the stack argues about.", "job_count": 6, "job_ids": [ "read-crm-records", "write-crm-records", "query-data-warehouse", "sync-records-between-systems", "run-automation-workflow", "route-inbound-lead" ], "entry_count": 79 }, { "id": "deals-and-documents", "label": "Deal execution and documents", "one_liner": "Quote it, paper it, sign it, and share it with the buyer.", "job_count": 6, "job_ids": [ "generate-proposal-or-quote", "send-document-for-signature", "read-contract-terms", "create-digital-sales-room", "retrieve-sales-content", "draft-rfp-response" ], "entry_count": 31 }, { "id": "planning-scoring-coaching", "label": "Planning, scoring and coaching", "one_liner": "Decide what the number is and who is going to hit it.", "job_count": 5, "job_ids": [ "read-pipeline-forecast", "model-revenue-plan", "score-and-prioritize-leads", "score-rep-performance", "run-sales-roleplay-practice" ], "entry_count": 89 }, { "id": "sending-infrastructure", "label": "Sending infrastructure", "one_liner": "Own the mailboxes, the reputation and the placement.", "job_count": 3, "job_ids": [ "warm-up-inbox", "provision-sending-infrastructure", "check-inbox-placement" ], "entry_count": 26 }, { "id": "mcp-plumbing", "label": "MCP plumbing", "one_liner": "Find servers, or stand between an agent and somebody's SaaS.", "job_count": 2, "job_ids": [ "discover-mcp-servers", "proxy-tool-calls-to-saas" ], "entry_count": 14 } ], "jobs_vocabulary": { "meta": { "version": "1", "vocabulary_status": "closed", "written_on": "2026-08-25", "tier": "RESEARCHED", "tier_meaning": "A job tag means the vendor says the tool does this. It is not a usage claim, not a test result, and not a promise the capability is reachable through the tool's MCP server or on the gate the entry records.", "source_file": "data/jobs.yaml", "source_sha256": "e63c27779ba7bdea1617e4ae1e6afaa47193ecbf695e5ceb744a0677da1db948" }, "tags_meta": { "version": "1", "tagged_on": "2026-08-25", "tagged_by": "machine-pass", "tier": "RESEARCHED", "tier_meaning": "A job tag means the vendor says the tool does this. Nobody has run any tool in this directory. bench_tested is still 0.", "key_resolution": "Keys are matched against each entry's normalized name (lowercased, parentheticals dropped, punctuation collapsed), the same normalisation tools_recount.py uses to detect cross-file duplicates. One key therefore covers every entry for the same product.", "source_file": "data/tags.yaml", "source_sha256": "77a593d1de719f44e3816265c624b1cd7eefd1dee059b9f4ac8be0539b4d1b7f" }, "jobs": [ { "id": "search-people-by-criteria", "family": "find-people-and-companies", "phrasing": "search people by criteria", "label": "Search people by criteria", "one_liner": "Query a person database by title, seniority, function, geo or company filters and get a list back.", "primary_categories": [ "01", "05" ], "aliases": [ "find people matching a title and location", "search for contacts by job title", "list decision makers at these companies", "build a prospect list from filters", "who are the vps of sales at these accounts" ], "order": 0, "entry_count": 24, "product_count": 22, "mcp_status": { "official": 15, "community": 3, "none-found": 6, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 5, "paid": 12, "enterprise-only": 2, "enterprise-leaning": 0, "unknown": 5, "n-a": 0, "other": 0 }, "solo_reachable": 15, "bench_tested": 0, "categories": { "01": 14, "02": 4, "04": 5, "05": 1 }, "entry_ids": [ "01-apollo-io", "01-cognism", "01-coresignal", "01-crustdata", "01-datagma", "01-explorium", "01-fiber-ai", "01-lead411", "01-lusha", "01-people-data-labs", "01-prospeo", "01-seamless-ai", "01-uplead", "01-zoominfo", "02-amplemarket", "02-instantly", "02-lemlist", "02-waalaxy", "04-amplemarket", "04-artisan-ai", "04-luru", "04-regie-ai", "04-unify", "05-crustdata" ] }, { "id": "search-companies-by-firmographics", "family": "find-people-and-companies", "phrasing": "search companies by firmographics", "label": "Search companies by firmographics", "one_liner": "Query a company database by industry, headcount, revenue, geo or similar and get a list back.", "primary_categories": [ "01", "05" ], "aliases": [ "find companies with 50 to 200 employees", "search for accounts by industry and size", "list saas companies in germany", "firmographic company search" ], "order": 1, "entry_count": 15, "product_count": 14, "mcp_status": { "official": 12, "community": 2, "none-found": 1, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 3, "paid": 8, "enterprise-only": 2, "enterprise-leaning": 0, "unknown": 2, "n-a": 0, "other": 0 }, "solo_reachable": 11, "bench_tested": 0, "categories": { "01": 14, "05": 1 }, "entry_ids": [ "01-apollo-io", "01-cognism", "01-coresignal", "01-crustdata", "01-explorium", "01-fiber-ai", "01-lead411", "01-ocean-io", "01-people-data-labs", "01-prospeo", "01-seamless-ai", "01-uplead", "01-vainu", "01-zoominfo", "05-crustdata" ] }, { "id": "enrich-person-from-linkedin-url", "family": "find-people-and-companies", "phrasing": "enrich person from linkedin url", "label": "Enrich a person from a LinkedIn URL", "one_liner": "Hand it a profile URL or a scraped profile and get a structured person record back.", "primary_categories": [ "01", "05" ], "aliases": [ "look up a linkedin profile", "get person data from a profile url", "i have a linkedin url and i need this person's job title", "scrape a linkedin profile", "enrich this profile" ], "order": 2, "entry_count": 12, "product_count": 12, "mcp_status": { "official": 8, "community": 1, "none-found": 3, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 3, "paid": 7, "enterprise-only": 2, "enterprise-leaning": 0, "unknown": 0, "n-a": 0, "other": 0 }, "solo_reachable": 8, "bench_tested": 0, "categories": { "01": 10, "02": 1, "05": 1 }, "entry_ids": [ "01-cognism", "01-cufinder", "01-datagma", "01-dropcontact", "01-fiber-ai", "01-lusha", "01-people-data-labs", "01-rocketreach", "01-surfe", "01-wiza", "02-phantombuster", "05-intently" ] }, { "id": "enrich-company-from-domain", "family": "find-people-and-companies", "phrasing": "enrich company from domain", "label": "Enrich a company from a domain", "one_liner": "Hand it a domain or company name and get firmographics back.", "primary_categories": [ "01", "05" ], "aliases": [ "enrich this company", "get firmographics for a domain", "how big is this company", "fill in company fields from a website" ], "order": 3, "entry_count": 34, "product_count": 31, "mcp_status": { "official": 26, "community": 2, "none-found": 6, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 12, "paid": 12, "enterprise-only": 5, "enterprise-leaning": 0, "unknown": 5, "n-a": 0, "other": 0 }, "solo_reachable": 21, "bench_tested": 0, "categories": { "01": 20, "04": 1, "05": 9, "06": 3, "10": 1 }, "entry_ids": [ "01-apollo-io", "01-clay", "01-clearbit", "01-coresignal", "01-crustdata", "01-cufinder", "01-datagma", "01-diffbot", "01-dropcontact", "01-explorium", "01-lead411", "01-leadmagic", "01-lusha", "01-people-data-labs", "01-prospeo", "01-snov-io", "01-uplead", "01-vainu", "01-warmly", "01-zoominfo", "04-landbase", "05-albacross", "05-clearbit-reveal", "05-crustdata", "05-demandbase", "05-hg-insights", "05-leadfeeder", "05-predictleads", "05-similarweb", "05-warmly", "06-cargo", "06-default", "06-openprise", "10-default" ] }, { "id": "reverse-lookup-person-from-email", "family": "find-people-and-companies", "phrasing": "reverse lookup person from email", "label": "Reverse-look-up a person from an email", "one_liner": "Hand it an email address and get the person or their profile back. Rare as a first-party capability.", "primary_categories": [ "01" ], "aliases": [ "who owns this email address", "find the linkedin profile for this email", "email to person lookup", "reverse email lookup" ], "order": 4, "entry_count": 1, "product_count": 1, "mcp_status": { "official": 0, "community": 1, "none-found": 0, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 1, "paid": 0, "enterprise-only": 0, "enterprise-leaning": 0, "unknown": 0, "n-a": 0, "other": 0 }, "solo_reachable": 1, "bench_tested": 0, "categories": { "01": 1 }, "entry_ids": [ "01-people-data-labs" ] }, { "id": "build-target-account-list", "family": "find-people-and-companies", "phrasing": "build a target account list", "label": "Build a target account list", "one_liner": "Produce a ranked or filtered account universe from an ICP definition or a set of best customers.", "primary_categories": [ "05", "04" ], "aliases": [ "build me a target account list", "find lookalikes of my best customers", "who should i be selling to", "define my icp universe" ], "order": 5, "entry_count": 7, "product_count": 7, "mcp_status": { "official": 4, "community": 1, "none-found": 2, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 0, "paid": 4, "enterprise-only": 2, "enterprise-leaning": 0, "unknown": 1, "n-a": 0, "other": 0 }, "solo_reachable": 3, "bench_tested": 0, "categories": { "01": 3, "04": 2, "05": 2 }, "entry_ids": [ "01-clay", "01-ocean-io", "01-seamless-ai", "04-landbase", "04-unify", "05-6sense", "05-keyplay" ] }, { "id": "discover-warm-intro-paths", "family": "find-people-and-companies", "phrasing": "discover warm intro paths", "label": "Discover warm intro paths", "one_liner": "Answer \"who already knows somebody here\" from team, partner or relationship-graph data rather than from a bought contact list.", "primary_categories": [ "01", "05", "06" ], "aliases": [ "who can introduce me to this account", "find a warm intro", "do we know anyone at this company", "map our relationships into this account", "partner overlap with this account" ], "order": 6, "entry_count": 4, "product_count": 4, "mcp_status": { "official": 3, "community": 0, "none-found": 0, "unknown": 1, "n-a": 0, "other": 0 }, "api_gate": { "free": 1, "paid": 2, "enterprise-only": 1, "enterprise-leaning": 0, "unknown": 0, "n-a": 0, "other": 0 }, "solo_reachable": 2, "bench_tested": 0, "categories": { "01": 1, "05": 2, "06": 1 }, "entry_ids": [ "01-the-swarm", "05-centralize", "05-crossbeam", "06-affinity" ] }, { "id": "find-work-email", "family": "get-contact-data", "phrasing": "find email address", "label": "Find a work email address", "one_liner": "Hand it a person plus a company, domain or profile URL and get a work email back.", "primary_categories": [ "01" ], "aliases": [ "find this person's email", "find email address", "get a work email from a name and domain", "email finder", "what is their email" ], "order": 7, "entry_count": 29, "product_count": 29, "mcp_status": { "official": 22, "community": 2, "none-found": 5, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 12, "paid": 14, "enterprise-only": 3, "enterprise-leaning": 0, "unknown": 0, "n-a": 0, "other": 0 }, "solo_reachable": 22, "bench_tested": 0, "categories": { "01": 24, "02": 1, "05": 4 }, "entry_ids": [ "01-anymail-finder", "01-apollo-io", "01-bettercontact", "01-clay", "01-cognism", "01-cufinder", "01-datagma", "01-dropcontact", "01-enrow", "01-fiber-ai", "01-findymail", "01-fullenrich", "01-hunter-io", "01-lead411", "01-leadmagic", "01-lusha", "01-prospeo", "01-rocketreach", "01-seamless-ai", "01-snov-io", "01-surfe", "01-uplead", "01-wiza", "01-zoominfo", "02-overloop", "05-albacross", "05-leadfeeder", "05-rb2b", "05-snitcher" ] }, { "id": "find-phone-number", "family": "get-contact-data", "phrasing": "find phone number", "label": "Find a phone number", "one_liner": "Hand it a person and get a direct dial or mobile back. Consistently the scarcer half of contact data.", "primary_categories": [ "01" ], "aliases": [ "find this person's phone number", "get a mobile number", "direct dial lookup", "phone finder" ], "order": 8, "entry_count": 19, "product_count": 19, "mcp_status": { "official": 12, "community": 1, "none-found": 6, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 9, "paid": 6, "enterprise-only": 3, "enterprise-leaning": 0, "unknown": 1, "n-a": 0, "other": 0 }, "solo_reachable": 11, "bench_tested": 0, "categories": { "01": 17, "02": 1, "05": 1 }, "entry_ids": [ "01-bettercontact", "01-cognism", "01-datagma", "01-enrow", "01-fiber-ai", "01-findymail", "01-fullenrich", "01-lead411", "01-leadmagic", "01-lusha", "01-prospeo", "01-rocketreach", "01-seamless-ai", "01-surfe", "01-uplead", "01-wiza", "01-zoominfo", "02-nooks", "05-albacross" ] }, { "id": "verify-email-deliverable", "family": "get-contact-data", "phrasing": "verify an email is deliverable", "label": "Verify an email is deliverable", "one_liner": "Check an address against the mail server or a verification pipeline before anything is sent to it.", "primary_categories": [ "01", "09" ], "aliases": [ "is this email valid", "verify an email address", "check deliverability before i send", "clean this email list", "smtp verification" ], "order": 9, "entry_count": 15, "product_count": 15, "mcp_status": { "official": 11, "community": 3, "none-found": 1, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 6, "paid": 9, "enterprise-only": 0, "enterprise-leaning": 0, "unknown": 0, "n-a": 0, "other": 0 }, "solo_reachable": 14, "bench_tested": 0, "categories": { "01": 12, "02": 2, "09": 1 }, "entry_ids": [ "01-anymail-finder", "01-cufinder", "01-dropcontact", "01-enrow", "01-findymail", "01-hunter-io", "01-leadmagic", "01-prospeo", "01-snov-io", "01-uplead", "01-versium-reach", "01-wiza", "02-overloop", "02-smartlead", "09-allegrow" ] }, { "id": "identify-anonymous-website-visitor", "family": "signals-and-research", "phrasing": "detect website visitor intent", "label": "Identify an anonymous website visitor", "one_liner": "Resolve site traffic to a company, or in a few cases a named person. Person-level resolution is much rarer than the marketing suggests.", "primary_categories": [ "05" ], "aliases": [ "who is visiting my website", "deanonymize website traffic", "detect website visitor intent", "identify companies on my pricing page", "visitor identification" ], "order": 10, "entry_count": 11, "product_count": 10, "mcp_status": { "official": 8, "community": 0, "none-found": 3, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 3, "paid": 6, "enterprise-only": 2, "enterprise-leaning": 0, "unknown": 0, "n-a": 0, "other": 0 }, "solo_reachable": 6, "bench_tested": 0, "categories": { "01": 1, "05": 10 }, "entry_ids": [ "01-warmly", "05-6sense", "05-albacross", "05-clearbit-reveal", "05-demandbase", "05-factors-ai", "05-leadfeeder", "05-rb2b", "05-snitcher", "05-vector", "05-warmly" ] }, { "id": "fetch-buyer-intent-signals", "family": "signals-and-research", "phrasing": "fetch buyer intent signals", "label": "Fetch buyer intent signals", "one_liner": "Return third-party or aggregated research/engagement signals saying an account may be in market.", "primary_categories": [ "05", "14" ], "aliases": [ "which accounts are in market", "get intent data for these companies", "buying signals for my target list", "is this account researching us" ], "order": 11, "entry_count": 30, "product_count": 26, "mcp_status": { "official": 18, "community": 2, "none-found": 10, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 6, "paid": 12, "enterprise-only": 8, "enterprise-leaning": 0, "unknown": 4, "n-a": 0, "other": 0 }, "solo_reachable": 13, "bench_tested": 0, "categories": { "01": 3, "02": 4, "04": 6, "05": 16, "15": 1 }, "entry_ids": [ "01-lead411", "01-theirstack", "01-warmly", "02-amplemarket", "02-autobound", "02-lemlist", "02-nooks", "04-amplemarket", "04-hubspot-breeze", "04-landbase", "04-luru", "04-regie-ai", "04-unify", "05-6sense", "05-albacross", "05-bombora", "05-clearbit-reveal", "05-common-room", "05-demandbase", "05-factors-ai", "05-g2-buyer-intent", "05-hg-insights", "05-leadfeeder", "05-snitcher", "05-theirstack", "05-trigify", "05-usergems", "05-vector", "05-warmly", "15-common-room" ] }, { "id": "track-job-changes", "family": "signals-and-research", "phrasing": "track job changes", "label": "Track job changes", "one_liner": "Watch known contacts and tell you when they move, get promoted or land somewhere new.", "primary_categories": [ "05", "01" ], "aliases": [ "tell me when my champions change jobs", "track job changes", "who from my customer list moved", "new role alerts for these contacts" ], "order": 12, "entry_count": 10, "product_count": 9, "mcp_status": { "official": 4, "community": 2, "none-found": 4, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 1, "paid": 6, "enterprise-only": 2, "enterprise-leaning": 0, "unknown": 1, "n-a": 0, "other": 0 }, "solo_reachable": 5, "bench_tested": 0, "categories": { "01": 1, "02": 2, "04": 2, "05": 5 }, "entry_ids": [ "01-the-swarm", "02-amplemarket", "02-autobound", "04-amplemarket", "04-unify", "05-champify", "05-live-data-technologies", "05-trigify", "05-usergems", "05-vector" ] }, { "id": "scrape-job-postings", "family": "signals-and-research", "phrasing": "scrape job postings", "label": "Scrape job postings", "one_liner": "Query live or historical job listings as a hiring, budget or tech-stack signal.", "primary_categories": [ "05", "01" ], "aliases": [ "scrape job postings", "what is this company hiring for", "find companies hiring for this role", "job board data as an intent signal" ], "order": 13, "entry_count": 5, "product_count": 4, "mcp_status": { "official": 5, "community": 0, "none-found": 0, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 4, "paid": 1, "enterprise-only": 0, "enterprise-leaning": 0, "unknown": 0, "n-a": 0, "other": 0 }, "solo_reachable": 5, "bench_tested": 0, "categories": { "01": 3, "05": 2 }, "entry_ids": [ "01-coresignal", "01-leadmagic", "01-theirstack", "05-predictleads", "05-theirstack" ] }, { "id": "detect-technographics", "family": "signals-and-research", "phrasing": "detect technographics", "label": "Detect a company's tech stack", "one_liner": "Return what software a company runs, from fingerprinting, job posts or a licensed technographic dataset.", "primary_categories": [ "05", "01" ], "aliases": [ "what tech stack does this company use", "find companies running this software", "technographics for a domain", "detect installed tools" ], "order": 14, "entry_count": 14, "product_count": 12, "mcp_status": { "official": 10, "community": 2, "none-found": 2, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 4, "paid": 6, "enterprise-only": 2, "enterprise-leaning": 0, "unknown": 2, "n-a": 0, "other": 0 }, "solo_reachable": 8, "bench_tested": 0, "categories": { "01": 5, "04": 1, "05": 8 }, "entry_ids": [ "01-crustdata", "01-explorium", "01-prospeo", "01-theirstack", "01-uplead", "04-unify", "05-clearbit-reveal", "05-crustdata", "05-demandbase", "05-hg-insights", "05-keyplay", "05-predictleads", "05-sumble", "05-theirstack" ] }, { "id": "detect-funding-or-news-event", "family": "signals-and-research", "phrasing": "detect funding or news event", "label": "Detect a funding or news event", "one_liner": "Return company-level events: funding rounds, M&A, leadership changes, expansion, press.", "primary_categories": [ "05", "01" ], "aliases": [ "which of my accounts just raised", "funding alerts", "company news triggers", "tell me when something happens at this account" ], "order": 15, "entry_count": 12, "product_count": 11, "mcp_status": { "official": 10, "community": 1, "none-found": 1, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 3, "paid": 5, "enterprise-only": 2, "enterprise-leaning": 0, "unknown": 2, "n-a": 0, "other": 0 }, "solo_reachable": 7, "bench_tested": 0, "categories": { "01": 6, "02": 1, "04": 2, "05": 3 }, "entry_ids": [ "01-crustdata", "01-diffbot", "01-explorium", "01-surfe", "01-the-swarm", "01-vainu", "02-autobound", "04-hubspot-breeze", "04-unify", "05-crustdata", "05-predictleads", "05-usergems" ] }, { "id": "scrape-web-page-for-facts", "family": "signals-and-research", "phrasing": "scrape a web page for facts", "label": "Scrape a web page for facts", "one_liner": "Fetch and structure an arbitrary public page. The general-purpose fallback when no structured provider has the record.", "primary_categories": [ "01", "05" ], "aliases": [ "scrape this page", "read a website and extract facts", "crawl the open web for this answer", "browse and structure a page" ], "order": 16, "entry_count": 6, "product_count": 6, "mcp_status": { "official": 5, "community": 0, "none-found": 1, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 2, "paid": 4, "enterprise-only": 0, "enterprise-leaning": 0, "unknown": 0, "n-a": 0, "other": 0 }, "solo_reachable": 5, "bench_tested": 0, "categories": { "01": 4, "02": 1, "05": 1 }, "entry_ids": [ "01-bright-data", "01-clay", "01-diffbot", "01-exa", "02-phantombuster", "05-intently" ] }, { "id": "monitor-social-mentions", "family": "signals-and-research", "phrasing": "monitor social mentions", "label": "Monitor social and community mentions", "one_liner": "Watch social, forum, community and news surfaces for a keyword, brand or competitor and alert on matches.", "primary_categories": [ "15", "05" ], "aliases": [ "alert me when someone mentions us on reddit", "monitor social mentions", "track brand mentions", "who is talking about my competitor", "keyword alerts across social" ], "order": 17, "entry_count": 12, "product_count": 11, "mcp_status": { "official": 2, "community": 3, "none-found": 7, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 1, "paid": 6, "enterprise-only": 5, "enterprise-leaning": 0, "unknown": 0, "n-a": 0, "other": 0 }, "solo_reachable": 2, "bench_tested": 0, "categories": { "05": 3, "15": 9 }, "entry_ids": [ "05-common-room", "05-intently", "05-trigify", "15-brand24", "15-brandwatch", "15-buzzsumo", "15-common-room", "15-f5bot", "15-meltwater", "15-mention", "15-syften", "15-talkwalker" ] }, { "id": "research-account-for-call-prep", "family": "signals-and-research", "phrasing": "research an account before a call", "label": "Research an account before a call", "one_liner": "Produce a synthesized read on a company or person from many sources, for prep or qualification rather than as a raw data pull.", "primary_categories": [ "05", "01", "04" ], "aliases": [ "research this account before my call", "give me a brief on this company", "what should i know before this meeting", "summarize this prospect", "account research" ], "order": 18, "entry_count": 17, "product_count": 16, "mcp_status": { "official": 10, "community": 1, "none-found": 5, "unknown": 1, "n-a": 0, "other": 0 }, "api_gate": { "free": 3, "paid": 7, "enterprise-only": 2, "enterprise-leaning": 0, "unknown": 5, "n-a": 0, "other": 0 }, "solo_reachable": 7, "bench_tested": 0, "categories": { "01": 5, "02": 1, "04": 5, "05": 4, "06": 1, "14": 1 }, "entry_ids": [ "01-apollo-io", "01-exa", "01-seamless-ai", "01-wiza", "01-zoominfo", "02-klenty", "04-11x", "04-aisdr", "04-copy-ai", "04-klenty", "04-terret", "05-centralize", "05-factors-ai", "05-similarweb", "05-sumble", "06-octave", "14-endgame" ] }, { "id": "run-email-sequence", "family": "outreach-and-engagement", "phrasing": "send sequenced outreach", "label": "Run an email sequence", "one_liner": "Enroll contacts in a multi-step cadence and send it. The execution step, not the writing step.", "primary_categories": [ "02", "04" ], "aliases": [ "send sequenced outreach", "put these people in a cadence", "run a cold email campaign", "enroll contacts in a sequence", "start an email sequence" ], "order": 19, "entry_count": 45, "product_count": 38, "mcp_status": { "official": 22, "community": 3, "none-found": 19, "unknown": 1, "n-a": 0, "other": 0 }, "api_gate": { "free": 3, "paid": 24, "enterprise-only": 4, "enterprise-leaning": 0, "unknown": 14, "n-a": 0, "other": 0 }, "solo_reachable": 21, "bench_tested": 0, "categories": { "01": 4, "02": 21, "04": 14, "05": 1, "06": 3, "12": 1, "14": 1 }, "entry_ids": [ "01-apollo-io", "01-seamless-ai", "01-snov-io", "01-warmly", "02-amplemarket", "02-apollo-io-sequences", "02-expandi", "02-groove", "02-instantly", "02-klenty", "02-la-growth-machine", "02-lemlist", "02-mailshake", "02-mixmax", "02-outplay", "02-outreach", "02-overloop", "02-quickmail", "02-reply-io", "02-salesforge", "02-salesloft", "02-smartlead", "02-super-send", "02-waalaxy", "02-woodpecker", "04-11x", "04-aisdr", "04-amplemarket", "04-artisan-ai", "04-conversica", "04-hubspot-breeze", "04-klenty", "04-luru", "04-qualified", "04-regie-ai", "04-reply-io", "04-salesforge", "04-tofu", "04-unify", "05-warmly", "06-highlevel", "06-hubspot", "06-ortto", "12-hubspot", "14-qualified" ] }, { "id": "send-linkedin-message", "family": "outreach-and-engagement", "phrasing": "send a linkedin message", "label": "Send a LinkedIn message or connection request", "one_liner": "Act on LinkedIn: connect, message, follow up. Carries standing platform-terms risk the directory flags on files 02 and 05.", "primary_categories": [ "02", "04" ], "aliases": [ "send a linkedin connection request", "message someone on linkedin", "run a linkedin outreach campaign", "automate linkedin dms" ], "order": 20, "entry_count": 22, "product_count": 19, "mcp_status": { "official": 12, "community": 1, "none-found": 9, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 0, "paid": 15, "enterprise-only": 0, "enterprise-leaning": 0, "unknown": 7, "n-a": 0, "other": 0 }, "solo_reachable": 12, "bench_tested": 0, "categories": { "01": 1, "02": 14, "04": 7 }, "entry_ids": [ "01-snov-io", "02-amplemarket", "02-expandi", "02-heyreach", "02-la-growth-machine", "02-lemlist", "02-outplay", "02-outreach", "02-overloop", "02-phantombuster", "02-quickmail", "02-reply-io", "02-salesforge", "02-waalaxy", "02-woodpecker", "04-11x", "04-aisdr", "04-amplemarket", "04-luru", "04-regie-ai", "04-reply-io", "04-salesforge" ] }, { "id": "draft-personalized-outreach", "family": "outreach-and-engagement", "phrasing": "draft personalized outreach", "label": "Draft personalized outreach", "one_liner": "Generate the copy: openers, emails, follow-ups, personalized on prospect context. The writing step, not the sending step.", "primary_categories": [ "02", "04", "11" ], "aliases": [ "write me a cold email for this prospect", "draft personalized outreach", "generate an opener", "personalize this message", "write a follow up" ], "order": 21, "entry_count": 51, "product_count": 45, "mcp_status": { "official": 23, "community": 5, "none-found": 21, "unknown": 2, "n-a": 0, "other": 0 }, "api_gate": { "free": 6, "paid": 23, "enterprise-only": 4, "enterprise-leaning": 0, "unknown": 18, "n-a": 0, "other": 0 }, "solo_reachable": 23, "bench_tested": 0, "categories": { "01": 4, "02": 21, "03": 3, "04": 15, "05": 1, "06": 3, "11": 1, "12": 2, "14": 1 }, "entry_ids": [ "01-apollo-io", "01-lusha", "01-surfe", "01-zoominfo", "02-amplemarket", "02-autobound", "02-groove", "02-heyreach", "02-instantly", "02-klenty", "02-la-growth-machine", "02-lemlist", "02-mailshake", "02-mixmax", "02-nooks", "02-outplay", "02-outreach", "02-overloop", "02-phantombuster", "02-reply-io", "02-salesforge", "02-salesloft", "02-smartlead", "02-waalaxy", "02-woodpecker", "03-clari-copilot", "03-otter-ai", "03-salesroom", "04-11x", "04-aisdr", "04-amplemarket", "04-artisan-ai", "04-copy-ai", "04-hubspot-breeze", "04-klenty", "04-luru", "04-qualified", "04-regie-ai", "04-reply-io", "04-salesforge", "04-terret", "04-tofu", "04-unify", "05-centralize", "06-hightouch", "06-hubspot", "06-octave", "11-lavender", "12-boostup", "12-hubspot", "14-qualified" ] }, { "id": "place-outbound-call", "family": "outreach-and-engagement", "phrasing": "place an outbound call", "label": "Place an outbound call", "one_liner": "Dial, including parallel and power dialing, and connect a rep or an agent to a live answer.", "primary_categories": [ "02", "04" ], "aliases": [ "dial this list", "place an outbound call", "parallel dialer", "power dial these prospects", "call this prospect" ], "order": 22, "entry_count": 22, "product_count": 19, "mcp_status": { "official": 9, "community": 0, "none-found": 13, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 0, "paid": 8, "enterprise-only": 1, "enterprise-leaning": 0, "unknown": 13, "n-a": 0, "other": 0 }, "solo_reachable": 6, "bench_tested": 0, "categories": { "01": 1, "02": 12, "04": 7, "06": 1, "12": 1 }, "entry_ids": [ "01-apollo-io", "02-amplemarket", "02-apollo-io-sequences", "02-kixie", "02-klenty", "02-la-growth-machine", "02-lemlist", "02-nooks", "02-orum", "02-outplay", "02-outreach", "02-reply-io", "02-salesloft", "04-11x", "04-amplemarket", "04-klenty", "04-luru", "04-regie-ai", "04-reply-io", "04-trellus-ai", "06-close", "12-revenue-io" ] }, { "id": "create-and-send-prospecting-video", "family": "outreach-and-engagement", "phrasing": "create and send a prospecting video", "label": "Create and send a prospecting video", "one_liner": "Record or generate a personalized video and deliver it into an email, sequence or CRM step.", "primary_categories": [ "08" ], "aliases": [ "send a personalized video", "make a prospecting video", "generate a video for each prospect", "video message a prospect" ], "order": 23, "entry_count": 14, "product_count": 13, "mcp_status": { "official": 3, "community": 6, "none-found": 4, "unknown": 1, "n-a": 0, "other": 0 }, "api_gate": { "free": 1, "paid": 4, "enterprise-only": 1, "enterprise-leaning": 0, "unknown": 8, "n-a": 0, "other": 0 }, "solo_reachable": 5, "bench_tested": 0, "categories": { "08": 13, "13": 1 }, "entry_ids": [ "08-bombbomb", "08-bonjoro", "08-covideo", "08-dubb", "08-heygen", "08-hippo-video", "08-loom", "08-potion", "08-quickpage", "08-sendspark", "08-trumpet", "08-vidyard", "08-weezly", "13-trumpet" ] }, { "id": "read-outreach-performance", "family": "outreach-and-engagement", "phrasing": "read outreach performance", "label": "Read outreach performance", "one_liner": "Return sends, opens, replies, views, watch time and campaign-level results back to the caller.", "primary_categories": [ "02", "08" ], "aliases": [ "how did my campaign do", "get open and reply rates", "read outreach performance", "campaign analytics", "did they watch the video" ], "order": 24, "entry_count": 14, "product_count": 13, "mcp_status": { "official": 7, "community": 3, "none-found": 3, "unknown": 1, "n-a": 0, "other": 0 }, "api_gate": { "free": 1, "paid": 4, "enterprise-only": 2, "enterprise-leaning": 0, "unknown": 7, "n-a": 0, "other": 0 }, "solo_reachable": 5, "bench_tested": 0, "categories": { "02": 4, "06": 1, "08": 8, "13": 1 }, "entry_ids": [ "02-apollo-io-sequences", "02-kixie", "02-mixmax", "02-outreach", "06-ortto", "08-bombbomb", "08-covideo", "08-dubb", "08-heygen", "08-loom", "08-quickpage", "08-trumpet", "08-vidyard", "13-trumpet" ] }, { "id": "run-autonomous-sdr-agent", "family": "outreach-and-engagement", "phrasing": "run an autonomous sdr agent", "label": "Run an autonomous SDR agent", "one_liner": "A packaged agent that claims to prospect, write, send and follow up with limited human input. Almost always vendor-stated and never bench-tested here.", "primary_categories": [ "04" ], "aliases": [ "run an ai sdr", "autonomous outbound agent", "replace my sdr with an agent", "agent that prospects end to end" ], "order": 25, "entry_count": 16, "product_count": 12, "mcp_status": { "official": 4, "community": 0, "none-found": 12, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 0, "paid": 6, "enterprise-only": 4, "enterprise-leaning": 0, "unknown": 6, "n-a": 0, "other": 0 }, "solo_reachable": 3, "bench_tested": 0, "categories": { "02": 3, "04": 11, "06": 1, "14": 1 }, "entry_ids": [ "02-outplay", "02-reply-io", "02-salesforge", "04-11x", "04-aisdr", "04-artisan-ai", "04-hubspot-breeze", "04-luru", "04-qualified", "04-regie-ai", "04-reply-io", "04-rox", "04-salesforce-agentforce", "04-salesforge", "06-salesforce-agentforce", "14-qualified" ] }, { "id": "fetch-call-transcript", "family": "conversations-and-meetings", "phrasing": "fetch a call transcript", "label": "Fetch a call transcript", "one_liner": "Return the recorded and transcribed text of a specific call or meeting.", "primary_categories": [ "03" ], "aliases": [ "get the transcript of this call", "fetch a call recording", "pull the transcript", "read what was said on the call" ], "order": 26, "entry_count": 20, "product_count": 20, "mcp_status": { "official": 14, "community": 3, "none-found": 3, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 3, "paid": 6, "enterprise-only": 5, "enterprise-leaning": 0, "unknown": 6, "n-a": 0, "other": 0 }, "solo_reachable": 9, "bench_tested": 0, "categories": { "03": 18, "06": 1, "12": 1 }, "entry_ids": [ "03-attention", "03-avoma", "03-chorus", "03-clari-copilot", "03-fathom", "03-fellow", "03-fireflies-ai", "03-gong", "03-grain", "03-granola", "03-highspot", "03-jiminny", "03-meetgeek", "03-otter-ai", "03-rilla", "03-seismic", "03-tl-dv", "03-zoom-revenue-accelerator", "06-affinity", "12-revenue-io" ] }, { "id": "search-call-library", "family": "conversations-and-meetings", "phrasing": "search the call library", "label": "Search across recorded calls", "one_liner": "Query across many recorded conversations at once rather than fetching one by id.", "primary_categories": [ "03" ], "aliases": [ "search all my calls for this topic", "which calls mention this competitor", "ask a question across my meeting history", "search the call library" ], "order": 27, "entry_count": 5, "product_count": 5, "mcp_status": { "official": 5, "community": 0, "none-found": 0, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 1, "paid": 1, "enterprise-only": 1, "enterprise-leaning": 0, "unknown": 2, "n-a": 0, "other": 0 }, "solo_reachable": 2, "bench_tested": 0, "categories": { "03": 5 }, "entry_ids": [ "03-fireflies-ai", "03-gong", "03-grain", "03-granola", "03-sybill" ] }, { "id": "summarize-meeting", "family": "conversations-and-meetings", "phrasing": "summarize a meeting", "label": "Summarize a meeting", "one_liner": "Return notes, action items and next steps from a call or meeting.", "primary_categories": [ "03", "10" ], "aliases": [ "summarize this meeting", "what were the action items", "give me the notes from that call", "meeting recap" ], "order": 28, "entry_count": 22, "product_count": 22, "mcp_status": { "official": 16, "community": 4, "none-found": 2, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 3, "paid": 9, "enterprise-only": 4, "enterprise-leaning": 0, "unknown": 6, "n-a": 0, "other": 0 }, "solo_reachable": 12, "bench_tested": 0, "categories": { "02": 2, "03": 19, "10": 1 }, "entry_ids": [ "02-mixmax", "02-nooks", "03-airspeed", "03-attention", "03-avoma", "03-circleback", "03-clari-copilot", "03-fathom", "03-fellow", "03-fireflies-ai", "03-grain", "03-granola", "03-highspot", "03-jiminny", "03-meetgeek", "03-momentum", "03-otter-ai", "03-seismic", "03-sybill", "03-tl-dv", "03-zoom-revenue-accelerator", "10-motion" ] }, { "id": "extract-deal-signals-from-calls", "family": "conversations-and-meetings", "phrasing": "extract deal signals from calls", "label": "Extract deal signals from calls", "one_liner": "Return objections, competitor mentions, risk flags, sentiment or scoring derived from conversation content.", "primary_categories": [ "03", "12" ], "aliases": [ "what are the risks on this deal", "find objections in my calls", "competitor mentions on calls", "deal risk from conversation data" ], "order": 29, "entry_count": 21, "product_count": 21, "mcp_status": { "official": 11, "community": 1, "none-found": 9, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 0, "paid": 4, "enterprise-only": 7, "enterprise-leaning": 0, "unknown": 10, "n-a": 0, "other": 0 }, "solo_reachable": 4, "bench_tested": 0, "categories": { "02": 3, "03": 12, "04": 1, "12": 5 }, "entry_ids": [ "02-outplay", "02-outreach", "02-salesloft", "03-airspeed", "03-attention", "03-avoma", "03-chorus", "03-clari-copilot", "03-gong", "03-highspot", "03-momentum", "03-otter-ai", "03-seismic", "03-sybill", "03-zoom-revenue-accelerator", "04-terret", "12-aviso", "12-boostup", "12-gong-forecast", "12-mediafly", "12-revenue-io" ] }, { "id": "book-a-meeting", "family": "conversations-and-meetings", "phrasing": "book a meeting", "label": "Book a meeting", "one_liner": "Actually put a meeting on a calendar, whether by link, invite or negotiated time.", "primary_categories": [ "10", "04", "14" ], "aliases": [ "book a meeting", "schedule a call with this prospect", "get a time on the calendar", "set up a demo" ], "order": 30, "entry_count": 26, "product_count": 23, "mcp_status": { "official": 11, "community": 2, "none-found": 12, "unknown": 1, "n-a": 0, "other": 0 }, "api_gate": { "free": 3, "paid": 8, "enterprise-only": 3, "enterprise-leaning": 0, "unknown": 12, "n-a": 0, "other": 0 }, "solo_reachable": 9, "bench_tested": 0, "categories": { "02": 1, "03": 1, "04": 8, "06": 2, "08": 2, "10": 10, "14": 2 }, "entry_ids": [ "02-mixmax", "03-avoma", "04-11x", "04-aisdr", "04-artisan-ai", "04-conversica", "04-luru", "04-qualified", "04-rox", "04-trellus-ai", "06-default", "06-highlevel", "08-tavus", "08-weezly", "10-cal-com", "10-calendly", "10-chili-piper", "10-clara", "10-default", "10-doodle", "10-kronologic", "10-leandata", "10-revenuehero", "10-savvycal", "14-chili-piper", "14-qualified" ] }, { "id": "read-calendar-availability", "family": "conversations-and-meetings", "phrasing": "read calendar availability", "label": "Read calendar availability", "one_liner": "Return open slots, availability rules or existing bookings without necessarily writing anything.", "primary_categories": [ "10" ], "aliases": [ "when am i free", "read calendar availability", "what bookings do i have this week", "find a slot that works" ], "order": 31, "entry_count": 12, "product_count": 11, "mcp_status": { "official": 6, "community": 2, "none-found": 4, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 2, "paid": 5, "enterprise-only": 0, "enterprise-leaning": 0, "unknown": 5, "n-a": 0, "other": 0 }, "solo_reachable": 6, "bench_tested": 0, "categories": { "10": 11, "14": 1 }, "entry_ids": [ "10-cal-com", "10-calendly", "10-chili-piper", "10-clara", "10-doodle", "10-kronologic", "10-motion", "10-reclaim-ai", "10-revenuehero", "10-savvycal", "10-trevor-ai", "14-chili-piper" ] }, { "id": "answer-inbound-chat", "family": "conversations-and-meetings", "phrasing": "answer inbound chat", "label": "Answer an inbound chat or call", "one_liner": "Hold a live two-way conversation with an inbound visitor or caller, by text or voice, and qualify or resolve it.", "primary_categories": [ "14", "04", "08" ], "aliases": [ "answer inbound chat", "qualify website visitors in chat", "ai chatbot on my site", "handle an inbound call", "live conversational agent for visitors" ], "order": 32, "entry_count": 21, "product_count": 16, "mcp_status": { "official": 11, "community": 0, "none-found": 10, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 6, "paid": 6, "enterprise-only": 5, "enterprise-leaning": 0, "unknown": 4, "n-a": 0, "other": 0 }, "solo_reachable": 8, "bench_tested": 0, "categories": { "01": 1, "04": 4, "05": 1, "06": 3, "08": 1, "10": 1, "12": 1, "14": 9 }, "entry_ids": [ "01-warmly", "04-conversica", "04-qualified", "04-salesforce-agentforce", "04-trellus-ai", "05-warmly", "06-hubspot", "06-ortto", "06-salesforce-agentforce", "08-tavus", "10-chili-piper", "12-hubspot", "14-ada", "14-chatbase", "14-chili-piper", "14-forethought", "14-intercom", "14-landbot", "14-pylon", "14-qualified", "14-tidio" ] }, { "id": "read-crm-records", "family": "systems-of-record", "phrasing": "read crm records", "label": "Read CRM records", "one_liner": "Query contacts, accounts, deals and activity out of a system of record.", "primary_categories": [ "06", "12", "14" ], "aliases": [ "read crm records", "get my open deals", "look up this contact in the crm", "query salesforce", "what is in hubspot for this account" ], "order": 33, "entry_count": 13, "product_count": 10, "mcp_status": { "official": 10, "community": 0, "none-found": 3, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 5, "paid": 5, "enterprise-only": 3, "enterprise-leaning": 0, "unknown": 0, "n-a": 0, "other": 0 }, "solo_reachable": 8, "bench_tested": 0, "categories": { "03": 2, "04": 1, "06": 7, "07": 1, "12": 2 }, "entry_ids": [ "03-grain", "03-otter-ai", "04-salesforce-agentforce", "06-affinity", "06-attio", "06-close", "06-highlevel", "06-hubspot", "06-pipedrive", "06-salesforce-agentforce", "07-apideck", "12-hubspot", "12-pipedrive" ] }, { "id": "write-crm-records", "family": "systems-of-record", "phrasing": "write crm records", "label": "Write CRM records", "one_liner": "Create or update records, log activity, or push data back into a system of record.", "primary_categories": [ "06", "03" ], "aliases": [ "update this deal in the crm", "log the call to salesforce", "write crm records", "create a contact", "push this back to hubspot" ], "order": 34, "entry_count": 28, "product_count": 25, "mcp_status": { "official": 17, "community": 3, "none-found": 7, "unknown": 1, "n-a": 0, "other": 0 }, "api_gate": { "free": 7, "paid": 9, "enterprise-only": 5, "enterprise-leaning": 0, "unknown": 7, "n-a": 0, "other": 0 }, "solo_reachable": 14, "bench_tested": 0, "categories": { "01": 2, "02": 4, "03": 10, "04": 1, "06": 7, "07": 1, "12": 3 }, "entry_ids": [ "01-clay", "01-surfe", "02-groove", "02-kixie", "02-outreach", "02-salesloft", "03-airspeed", "03-attention", "03-clari-copilot", "03-fathom", "03-fireflies-ai", "03-grain", "03-jiminny", "03-momentum", "03-otter-ai", "03-salesroom", "04-salesforce-agentforce", "06-affinity", "06-attio", "06-close", "06-highlevel", "06-hubspot", "06-pipedrive", "06-salesforce-agentforce", "07-apideck", "12-ebsta", "12-hubspot", "12-pipedrive" ] }, { "id": "query-data-warehouse", "family": "systems-of-record", "phrasing": "query a data warehouse", "label": "Query a data warehouse", "one_liner": "Run analytical queries against the modeled GTM data, not against the CRM.", "primary_categories": [ "06" ], "aliases": [ "query the warehouse", "run sql against our gtm data", "ask a question of snowflake", "read the modeled revenue data" ], "order": 35, "entry_count": 2, "product_count": 2, "mcp_status": { "official": 2, "community": 0, "none-found": 0, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 2, "paid": 0, "enterprise-only": 0, "enterprise-leaning": 0, "unknown": 0, "n-a": 0, "other": 0 }, "solo_reachable": 2, "bench_tested": 0, "categories": { "06": 2 }, "entry_ids": [ "06-retool", "06-snowflake" ] }, { "id": "sync-records-between-systems", "family": "systems-of-record", "phrasing": "sync records between systems", "label": "Sync records between systems", "one_liner": "Move data between the warehouse, the CRM and the rest of the stack. ETL, reverse ETL, MDM.", "primary_categories": [ "06" ], "aliases": [ "sync records between systems", "push warehouse data into the crm", "set up a data pipeline", "reverse etl", "keep two systems in sync" ], "order": 36, "entry_count": 9, "product_count": 9, "mcp_status": { "official": 8, "community": 0, "none-found": 1, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 6, "paid": 1, "enterprise-only": 2, "enterprise-leaning": 0, "unknown": 0, "n-a": 0, "other": 0 }, "solo_reachable": 7, "bench_tested": 0, "categories": { "06": 9 }, "entry_ids": [ "06-airbyte", "06-cargo", "06-fivetran", "06-hightouch", "06-make", "06-n8n", "06-openprise", "06-syncari", "06-zapier" ] }, { "id": "run-automation-workflow", "family": "systems-of-record", "phrasing": "run an automation workflow", "label": "Run an automation workflow", "one_liner": "Trigger or execute a multi-step workflow across tools, deterministic or agent-driven.", "primary_categories": [ "06", "04" ], "aliases": [ "run an automation workflow", "trigger a zap", "build a gtm workflow", "orchestrate these tools", "automate this process" ], "order": 37, "entry_count": 18, "product_count": 15, "mcp_status": { "official": 12, "community": 1, "none-found": 5, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 5, "paid": 5, "enterprise-only": 3, "enterprise-leaning": 0, "unknown": 5, "n-a": 0, "other": 0 }, "solo_reachable": 9, "bench_tested": 0, "categories": { "01": 1, "04": 3, "06": 11, "10": 1, "12": 2 }, "entry_ids": [ "01-clay", "04-copy-ai", "04-salesforce-agentforce", "04-tofu", "06-cargo", "06-default", "06-highlevel", "06-hubspot", "06-make", "06-n8n", "06-openprise", "06-ortto", "06-retool", "06-salesforce-agentforce", "06-zapier", "10-default", "12-aviso", "12-hubspot" ] }, { "id": "route-inbound-lead", "family": "systems-of-record", "phrasing": "route an inbound lead", "label": "Route an inbound lead", "one_liner": "Decide which rep, queue or territory an inbound lead or signal belongs to and hand it over.", "primary_categories": [ "10", "14", "06" ], "aliases": [ "route this lead to the right rep", "assign leads by territory", "route an inbound lead", "round robin these form fills" ], "order": 38, "entry_count": 9, "product_count": 7, "mcp_status": { "official": 6, "community": 0, "none-found": 2, "unknown": 1, "n-a": 0, "other": 0 }, "api_gate": { "free": 1, "paid": 2, "enterprise-only": 2, "enterprise-leaning": 0, "unknown": 4, "n-a": 0, "other": 0 }, "solo_reachable": 3, "bench_tested": 0, "categories": { "06": 3, "10": 5, "14": 1 }, "entry_ids": [ "06-cargo", "06-default", "06-openprise", "10-chili-piper", "10-default", "10-kronologic", "10-leandata", "10-revenuehero", "14-chili-piper" ] }, { "id": "generate-proposal-or-quote", "family": "deals-and-documents", "phrasing": "generate a proposal or quote", "label": "Generate a proposal or quote", "one_liner": "Produce the priced document: CPQ output, proposal, quote, interactive pricing page.", "primary_categories": [ "13" ], "aliases": [ "generate a quote", "build a proposal", "create a pricing document", "cpq" ], "order": 39, "entry_count": 5, "product_count": 5, "mcp_status": { "official": 1, "community": 0, "none-found": 3, "unknown": 1, "n-a": 0, "other": 0 }, "api_gate": { "free": 1, "paid": 3, "enterprise-only": 1, "enterprise-leaning": 0, "unknown": 0, "n-a": 0, "other": 0 }, "solo_reachable": 1, "bench_tested": 0, "categories": { "13": 5 }, "entry_ids": [ "13-dealhub", "13-getaccept", "13-pandadoc", "13-proposify", "13-qwilr" ] }, { "id": "send-document-for-signature", "family": "deals-and-documents", "phrasing": "send a document for signature", "label": "Send a document for signature", "one_liner": "Put a document into a signing flow and track its state to signed.", "primary_categories": [ "13" ], "aliases": [ "send this for signature", "e-sign a contract", "get the msa signed", "check whether they signed yet" ], "order": 40, "entry_count": 6, "product_count": 6, "mcp_status": { "official": 3, "community": 0, "none-found": 3, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 2, "paid": 4, "enterprise-only": 0, "enterprise-leaning": 0, "unknown": 0, "n-a": 0, "other": 0 }, "solo_reachable": 3, "bench_tested": 0, "categories": { "13": 6 }, "entry_ids": [ "13-common-paper", "13-docusign", "13-getaccept", "13-pandadoc", "13-proposify", "13-qwilr" ] }, { "id": "read-contract-terms", "family": "deals-and-documents", "phrasing": "read contract terms", "label": "Read contract terms", "one_liner": "Query executed agreements for their terms, dates, obligations or status.", "primary_categories": [ "13" ], "aliases": [ "what does this contract say", "when does this agreement renew", "read contract terms", "find the termination clause", "search our agreements" ], "order": 41, "entry_count": 3, "product_count": 3, "mcp_status": { "official": 3, "community": 0, "none-found": 0, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 1, "paid": 1, "enterprise-only": 1, "enterprise-leaning": 0, "unknown": 0, "n-a": 0, "other": 0 }, "solo_reachable": 2, "bench_tested": 0, "categories": { "13": 3 }, "entry_ids": [ "13-common-paper", "13-docusign", "13-ironclad" ] }, { "id": "create-digital-sales-room", "family": "deals-and-documents", "phrasing": "create a digital sales room", "label": "Create a digital sales room", "one_liner": "Stand up a buyer-facing shared space with collateral, a mutual action plan and engagement tracking.", "primary_categories": [ "13", "08" ], "aliases": [ "create a digital sales room", "build a buyer microsite", "share a deal room with the buyer", "mutual action plan page" ], "order": 42, "entry_count": 5, "product_count": 4, "mcp_status": { "official": 2, "community": 0, "none-found": 3, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 2, "paid": 1, "enterprise-only": 0, "enterprise-leaning": 0, "unknown": 1, "n-a": 1, "other": 0 }, "solo_reachable": 1, "bench_tested": 0, "categories": { "08": 1, "13": 4 }, "entry_ids": [ "08-trumpet", "13-aligned", "13-getaccept", "13-recapped-io", "13-trumpet" ] }, { "id": "retrieve-sales-content", "family": "deals-and-documents", "phrasing": "retrieve sales content", "label": "Retrieve sales content", "one_liner": "Return the approved collateral, messaging or positioning a rep or an agent should use right now.", "primary_categories": [ "11", "03", "06" ], "aliases": [ "find the right deck for this deal", "retrieve sales content", "what is our approved messaging", "get the case study for this industry" ], "order": 43, "entry_count": 9, "product_count": 9, "mcp_status": { "official": 4, "community": 0, "none-found": 5, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 0, "paid": 1, "enterprise-only": 2, "enterprise-leaning": 0, "unknown": 6, "n-a": 0, "other": 0 }, "solo_reachable": 1, "bench_tested": 0, "categories": { "03": 2, "06": 1, "11": 5, "12": 1 }, "entry_ids": [ "03-highspot", "03-seismic", "06-octave", "11-allego", "11-bigtincan-readiness", "11-mindtickle", "11-showpad", "11-spekit", "12-mediafly" ] }, { "id": "draft-rfp-response", "family": "deals-and-documents", "phrasing": "draft an rfp response", "label": "Draft an RFP or questionnaire response", "one_liner": "Auto-answer RFP, RFI, DDQ and security-questionnaire items from a governed content library.", "primary_categories": [ "13" ], "aliases": [ "answer this security questionnaire", "draft an rfp response", "fill in this ddq", "respond to an rfi" ], "order": 44, "entry_count": 3, "product_count": 3, "mcp_status": { "official": 2, "community": 0, "none-found": 1, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 0, "paid": 2, "enterprise-only": 1, "enterprise-leaning": 0, "unknown": 0, "n-a": 0, "other": 0 }, "solo_reachable": 2, "bench_tested": 0, "categories": { "13": 3 }, "entry_ids": [ "13-arphie", "13-loopio", "13-responsive" ] }, { "id": "read-pipeline-forecast", "family": "planning-scoring-coaching", "phrasing": "read the pipeline forecast", "label": "Read the pipeline forecast", "one_liner": "Return the roll-up, the commit, the deal-likelihood scores and the risk flags.", "primary_categories": [ "12", "03" ], "aliases": [ "what is the forecast this quarter", "read the pipeline forecast", "which deals are at risk", "pipeline roll up", "are we going to hit the number" ], "order": 45, "entry_count": 22, "product_count": 19, "mcp_status": { "official": 8, "community": 0, "none-found": 14, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 3, "paid": 2, "enterprise-only": 7, "enterprise-leaning": 1, "unknown": 9, "n-a": 0, "other": 0 }, "solo_reachable": 2, "bench_tested": 0, "categories": { "02": 2, "03": 2, "04": 2, "06": 2, "12": 14 }, "entry_ids": [ "02-outreach", "02-salesloft", "03-clari", "03-gong", "04-clari", "04-terret", "06-hubspot", "06-pipedrive", "12-anaplan", "12-aviso", "12-boostup", "12-ebsta", "12-forecastio", "12-gong-forecast", "12-hubspot", "12-kluster", "12-mediafly", "12-pipedrive", "12-revenue-io", "12-salesforce-einstein-forecasting", "12-varicent", "12-xactly" ] }, { "id": "model-revenue-plan", "family": "planning-scoring-coaching", "phrasing": "model a revenue plan", "label": "Model a revenue plan", "one_liner": "Build or query the plan side: quota, capacity, territory, scenarios, comp.", "primary_categories": [ "12" ], "aliases": [ "model a revenue plan", "run a what-if scenario", "quota and capacity planning", "territory design", "what happens if we hire five more reps" ], "order": 46, "entry_count": 7, "product_count": 7, "mcp_status": { "official": 3, "community": 0, "none-found": 4, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 0, "paid": 2, "enterprise-only": 3, "enterprise-leaning": 0, "unknown": 2, "n-a": 0, "other": 0 }, "solo_reachable": 1, "bench_tested": 0, "categories": { "12": 7 }, "entry_ids": [ "12-anaplan", "12-cube-software", "12-forecastio", "12-pigment", "12-vareto", "12-varicent", "12-xactly" ] }, { "id": "score-and-prioritize-leads", "family": "planning-scoring-coaching", "phrasing": "score and prioritize leads", "label": "Score and prioritize leads", "one_liner": "Rank accounts, leads or contacts by fit, intent or qualification and say what to work first.", "primary_categories": [ "05", "04", "14" ], "aliases": [ "score these leads", "which accounts should i work first", "prioritize my list", "qualify this lead", "icp fit score" ], "order": 47, "entry_count": 24, "product_count": 21, "mcp_status": { "official": 15, "community": 0, "none-found": 9, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 3, "paid": 6, "enterprise-only": 6, "enterprise-leaning": 0, "unknown": 9, "n-a": 0, "other": 0 }, "solo_reachable": 8, "bench_tested": 0, "categories": { "01": 4, "02": 1, "04": 5, "05": 4, "06": 4, "10": 3, "14": 2, "15": 1 }, "entry_ids": [ "01-lusha", "01-surfe", "01-vainu", "01-zoominfo", "02-salesloft", "04-conversica", "04-landbase", "04-madkudu", "04-qualified", "04-rox", "05-6sense", "05-demandbase", "05-factors-ai", "05-keyplay", "06-cargo", "06-default", "06-octave", "06-openprise", "10-chili-piper", "10-default", "10-revenuehero", "14-chili-piper", "14-qualified", "15-champion" ] }, { "id": "score-rep-performance", "family": "planning-scoring-coaching", "phrasing": "score rep performance", "label": "Score rep performance", "one_liner": "Grade a rep against a scorecard, methodology or behaviour set and produce coaching output.", "primary_categories": [ "11", "03", "12" ], "aliases": [ "score rep performance", "how is this rep doing", "coaching scorecard", "grade this call against our methodology" ], "order": 48, "entry_count": 25, "product_count": 24, "mcp_status": { "official": 5, "community": 1, "none-found": 19, "unknown": 0, "n-a": 0, "other": 0 }, "api_gate": { "free": 0, "paid": 4, "enterprise-only": 5, "enterprise-leaning": 0, "unknown": 16, "n-a": 0, "other": 0 }, "solo_reachable": 3, "bench_tested": 0, "categories": { "02": 3, "03": 9, "04": 2, "11": 9, "12": 2 }, "entry_ids": [ "02-klenty", "02-nooks", "02-orum", "03-attention", "03-chorus", "03-gong", "03-grain", "03-highspot", "03-jiminny", "03-rilla", "03-salesroom", "03-tl-dv", "04-klenty", "04-trellus-ai", "11-bigtincan-readiness", "11-dialworks", "11-hyperbound", "11-lavender", "11-luster", "11-mindtickle", "11-quantified", "11-second-nature", "11-showpad", "12-varicent", "12-xactly" ] }, { "id": "run-sales-roleplay-practice", "family": "planning-scoring-coaching", "phrasing": "run a sales roleplay practice", "label": "Run a sales roleplay practice", "one_liner": "Hold a simulated buyer conversation with a rep and grade it. 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"vendor_url": "anymailfinder.com", "category": "data-enrichment", "what_it_does": "Takes a name plus a company, domain, or LinkedIn URL, verifies the resulting work email against the mail server in real time, and only charges when the email verifies.", "ai_features": "None, and the vendor does not pretend otherwise. No AI claims appear on the homepage, the pricing page, or the API docs. It is a deterministic email finder and SMTP verifier. The only AI adjacency is that they shipped an MCP server so somebody else's agent can call the deterministic tool, which is the honest version of AI integration and is worth naming as the counter-example to this category's usual marketing.", "mcp_status": "official", "mcp_url": "https://api.anymailfinder.com/mcp (guide: https://anymailfinder.com/integrations/mcp)", "mcp_auth": "Browser-based OAuth-style sign-in and approval for Claude, ChatGPT and Cursor, with an API key fallback for clients that cannot do browser sign-in.", "api_gate": "free", "revops_role": "The cheap deterministic waterfall step: an email-find-and-verify primitive you call from Clay, a waterfall, or an agent, right before the sequencer. Not a database you browse, a function you call.", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://anymailfinder.com/pricing, https://anymailfinder.com/email-finder-api/docs, https://anymailfinder.com/integrations/mcp, https://api.anymailfinder.com/openapi.json", "notes": "Added 2026-08-25, closing a named warm lead from this file's previous sweep notes. Fully self-serve, no sales gate, API on every tier. 100 free credits to trial; card verification required but not charged. Monthly: 400 credits $29, 1k $49, 2k $89, 5k $149, 10k $199, 25k $299, 50k $499, 100k $799. Yearly roughly 33% off, 4.8k $228 through 1.2M $6,420. Billing is pay-per-verified-result: 1 credit per valid email, 2 for decision-maker searches, 0.2 for a verification, nothing for unverified results or repeat searches within 30 days. MCP exposes five tools sharing the same credit pool as the app and API. The OpenAPI 3.0.0 spec was fetched and validated independently: 16 endpoints on /v5.1/, apiKey in the Authorization header. The \"86.4% coverage, 98.9% accuracy\" benchmark cites an unlinked independent study; treat as vendor marketing, not as a verified figure. UK entity AMF Internet Services Limited, company number 10586048.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://api.anymailfinder.com/mcp", "https://anymailfinder.com/integrations/mcp" ], "source_urls": [ "https://anymailfinder.com/pricing", "https://anymailfinder.com/email-finder-api/docs", "https://anymailfinder.com/integrations/mcp", "https://api.anymailfinder.com/openapi.json" ], "source_annotations": [], "vendor_domain": "anymailfinder.com", "display_name": "Anymail Finder", "docs_url": "https://anymailfinder.com/email-finder-api/docs", "jobs": [ "find-work-email", "verify-email-deliverable" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-anymail-finder", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 639, "file_index": 33, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "Anymail Finder", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 1 }, { "id": "01-apollo-io", "slug": "apollo-io", "normalized_name": "apollo io", "name": "Apollo.io", "vendor_url": "apollo.io", "category": "data-enrichment", "what_it_does": "A combined B2B contact database (265M+ contacts) and sales engagement platform in one product - prospect search/filtering, email and call sequencing, and contact/organization enrichment.", "ai_features": "An \"AI Assistant\" and \"AI Research\" tool (bundled into every tier including Free) summarize accounts and draft outreach copy; sequence automation is rules-based, not AI. The prospecting/search function itself is plain filtered database lookup dressed up alongside the AI-labeled writing/research add-ons.", "mcp_status": "official", "mcp_url": "https://github.com/apolloio/apollo-mcp-plugin", "mcp_auth": "OAuth (Apollo.io sign-in/authorization flow in the client)", "api_gate": "paid", "revops_role": "Combined data + outbound engagement layer, often the SDR's primary daily tool for prospecting and sequencing, syncing results into the CRM", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://github.com/apolloio/apollo-mcp-plugin, https://docs.apollo.io/docs, https://www.landbase.com/blog/apollo-pricing, https://hackingdemand.com/blog/apollo-io-pricing-2026, https://www.warmly.ai/p/blog/apollo-pricing", "notes": "Free tier exists with a real (if limited) database and ~900 credits/year, rising to ~10,000 credits/month for accounts with a verified corporate email domain. Basic public API access is available to all paid customers; fuller API capability is gated to the Organization plan (~$119/user/month annual). Several unofficial community MCP servers also exist on GitHub (lkm1developer, edwardchoh, Inferensys, adamanz, others) alongside Apollo's own official plugin.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://github.com/apolloio/apollo-mcp-plugin" ], "source_urls": [ "https://github.com/apolloio/apollo-mcp-plugin", "https://docs.apollo.io/docs", "https://www.landbase.com/blog/apollo-pricing", "https://hackingdemand.com/blog/apollo-io-pricing-2026", "https://www.warmly.ai/p/blog/apollo-pricing" ], "source_annotations": [], "vendor_domain": "apollo.io", "display_name": "Apollo.io", "docs_url": null, "jobs": [ "search-people-by-criteria", "search-companies-by-firmographics", "enrich-company-from-domain", "find-work-email", "research-account-for-call-prep", "run-email-sequence", "draft-personalized-outreach", "place-outbound-call" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/apolloio/apollo-mcp-plugin", "https://github.com/apolloio/apollo-mcp-plugin" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-apollo-io", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 27, "file_index": 1, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "Apollo.io", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 46 }, { "id": "01-bettercontact", "slug": "bettercontact", "normalized_name": "bettercontact", "name": "BetterContact", "vendor_url": "bettercontact.rocks", "category": "data-enrichment", "what_it_does": "A waterfall enrichment orchestrator that queries 20+ third-party email/phone data providers in sequence for a given contact, stopping once a verified match is found, rather than sourcing its own proprietary contact data.", "ai_features": "Vendor markets a \"BetterAI algorithm\" that decides the optimal order to query the 20+ underlying providers for a given contact - this is a sequencing/routing heuristic layered on top of other vendors' data, not a source of new contact data itself. The actual email/phone lookups still come from third-party providers via a 4-layer verification pass; call the \"AI\" label a thin optimization layer over automation, not a core AI product.", "mcp_status": "none-found", "mcp_url": null, "mcp_auth": null, "api_gate": "free", "revops_role": "A meta-layer/orchestrator that sits above single-provider tools (Prospeo, Findymail, Dropcontact) in a RevOps stack, chaining them together to raise overall match rate rather than replacing them; commonly plugged into Clay, Make, or Zapier workflows.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://composio.dev/toolkits/bettercontact, https://bettercontact.rocks/pricing/, https://bettercontact.rocks/, https://doc.bettercontact.rocks/quickstart, https://www.globenewswire.com/news-release/2025/11/26/3195350/0/en/AI-Powered-Waterfall-Enrichment-Platform-BetterContact-Announces-Partnership-with-Clay-for-Berlin-GTM-Community-Event.html", "notes": "No genuine MCP server found despite checking bettercontact.rocks, kb.bettercontact.rocks, and doc.bettercontact.rocks directly - none mention MCP. A GitHub repo (\"upivi982/bettercontact\") surfaced in search but is an unaffiliated affiliate-marketing README (tracked referral links, no actual code) - not a real MCP server, not counted. BetterContact also appears only via Composio's generic multi-app connector, not counted per the same standard applied to Datagma. BetterContact announced a Clay partnership/co-hosted event (Nov 2025) and is positioned as Clay-compatible. Pricing is self-serve from a 50-credit free trial (no card) and a $15/mo Starter tier (200 credits) with API included; \"use your own API keys\" is a $199 add-on specifically on the Starter tier (included free at Enterprise, $799/mo+).", "mcp_status_bucket": "none-found", "api_gate_bucket": "free", "mcp_urls": [], "source_urls": [ "https://composio.dev/toolkits/bettercontact", "https://bettercontact.rocks/pricing/", "https://bettercontact.rocks/", "https://doc.bettercontact.rocks/quickstart", "https://www.globenewswire.com/news-release/2025/11/26/3195350/0/en/AI-Powered-Waterfall-Enrichment-Platform-BetterContact-Announces-Partnership-with-Clay-for-Berlin-GTM-Community-Event.html" ], "source_annotations": [], "vendor_domain": "bettercontact.rocks", "display_name": "BetterContact", "docs_url": null, "jobs": [ "find-work-email", "find-phone-number" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-bettercontact", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 274, "file_index": 14, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "BetterContact", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 176 }, { "id": "01-bright-data", "slug": "bright-data", "normalized_name": "bright data", "name": "Bright Data", "vendor_url": "brightdata.com", "category": "data-enrichment", "what_it_does": "A general-purpose web-scraping/proxy infrastructure platform (residential proxies, browser automation, structured scraping APIs) that GTM engineers repurpose to pull LinkedIn, company-site, and directory data when off-the-shelf enrichment providers lack a record.", "ai_features": "The MCP server exposes scraping/browsing/search tools an LLM agent can call and chain; underlying page parsing uses pattern- and ML-based extraction, not a proprietary \"enrichment AI\" - Bright Data is fundamentally a scraping/proxy company wearing an agent-tooling wrapper.", "mcp_status": "official", "mcp_url": "https://github.com/brightdata/brightdata-mcp", "mcp_auth": "api key (Bright Data API token)", "api_gate": "paid", "revops_role": "Fallback/last-resort scraping layer in a waterfall enrichment stack, used when structured providers (ZoomInfo, PDL, Clearbit) return no match.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://github.com/brightdata/brightdata-mcp, https://mcpservers.org/servers/brightdata/brightdata-mcp, https://brightdata.com/pricing/mcp-server", "notes": "Broader-scope than a purpose-built contact-enrichment vendor - it's web-data infrastructure, not a firmographic/contact database. Self-serve signup with pay-as-you-go and subscription plans; not enterprise-only for basic access. The MCP server alone exposes 69 tools spanning search, scraping, and browser automation.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://github.com/brightdata/brightdata-mcp" ], "source_urls": [ "https://github.com/brightdata/brightdata-mcp", "https://mcpservers.org/servers/brightdata/brightdata-mcp", "https://brightdata.com/pricing/mcp-server" ], "source_annotations": [], "vendor_domain": "brightdata.com", "display_name": "Bright Data", "docs_url": null, "jobs": [ "scrape-web-page-for-facts" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/brightdata/brightdata-mcp", "https://github.com/brightdata/brightdata-mcp" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-bright-data", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 426, "file_index": 22, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "Bright Data", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 50 }, { "id": "01-clay", "slug": "clay", "normalized_name": "clay", "name": "Clay", "vendor_url": "clay.com", "category": "data-enrichment", "what_it_does": "A spreadsheet-style workflow/orchestration tool that runs lead and company records through \"waterfall\" lookups across 100-200+ third-party data providers (Apollo, Lusha, Clearbit, etc.) and chains automation steps (\"recipes\") to build, enrich, and route prospect lists into a CRM or sequencer.", "ai_features": "\"Claygent\" is a genuine LLM agent that can browse the web and do open-ended research inside a workflow step (e.g., \"find this company's funding stage\"), plus an AI formula/code generator for building enrichment logic. This is real AI for the unstructured-research steps; the waterfall/enrichment core is deterministic API-calling across vendors, not AI itself.", "mcp_status": "official", "mcp_url": "https://www.clay.com/mcp (docs: https://university.clay.com/docs/mcp-settings)", "mcp_auth": "Session cookie - the same token used to log into app.clay.com in-browser, which grants full account access (tables, records, enrichments, CRM integrations, credits), not a scoped API key", "api_gate": "paid", "revops_role": "Sits between raw data vendors and the CRM/outbound stack as the enrichment-orchestration layer a RevOps team builds once and reps or automations call into", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.clay.com/mcp, https://university.clay.com/docs/mcp-settings, https://github.com/shanefirek/clay-mcp-public, https://www.landbase.com/blog/clay-pricing, https://www.warmly.ai/p/blog/clay-pricing, https://michaelsaruggia.com/blog/clay-pricing-change-2026", "notes": "Self-serve plans exist (Free, Launch ~$185/mo, Growth ~$495/mo as of the March 2026 repricing) with a dual Data Credits / Actions system, so a solo operator can get in without sales - but real usage costs scale fast via credit top-ups (50% premium) and this pricing structure changed substantially in March 2026. A separate 73-tool community MCP (github.com/shanefirek/clay-mcp-public) also exists. Caution: \"Clay\" the personal-CRM app (clay.earth, github.com/mesh/clay-mcp) is an unrelated product with its own MCP - do not confuse it with Clay.com in this directory.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://www.clay.com/mcp", "https://university.clay.com/docs/mcp-settings" ], "source_urls": [ "https://www.clay.com/mcp", "https://university.clay.com/docs/mcp-settings", "https://github.com/shanefirek/clay-mcp-public", "https://www.landbase.com/blog/clay-pricing", "https://www.warmly.ai/p/blog/clay-pricing", "https://michaelsaruggia.com/blog/clay-pricing-change-2026" ], "source_annotations": [], "vendor_domain": "clay.com", "display_name": "Clay", "docs_url": null, "jobs": [ "enrich-company-from-domain", "build-target-account-list", "find-work-email", "scrape-web-page-for-facts", "write-crm-records", "run-automation-workflow" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/shanefirek/clay-mcp-public" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-clay", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 46, "file_index": 2, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "Clay", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 54 }, { "id": "01-clearbit", "slug": "clearbit", "normalized_name": "clearbit", "name": "Clearbit (now HubSpot Breeze Intelligence)", "vendor_url": "https://www.hubspot.com/products/breeze/intelligence", "category": "data-enrichment", "what_it_does": "A firmographic/contact data lookup service that fills in company and contact fields (size, industry, revenue, location, social profiles, etc.) from a third-party data pool; formerly sold as a standalone API, now sold only as an add-on inside the HubSpot CRM.", "ai_features": "Marketed as an \"AI\" feature of HubSpot's Breeze suite, but the core function is database lookup/matching against pre-aggregated firmographic and web data (i.e., automated enrichment, not generative or predictive AI). No independent evidence of model-based inference beyond standard matching/scoring.", "mcp_status": "none-found", "mcp_url": null, "mcp_auth": null, "api_gate": "enterprise-only", "revops_role": "Contact/company record enrichment and lead scoring input inside HubSpot CRM; no longer usable as a standalone enrichment layer outside HubSpot.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.lead411.com/clearbit-pricing/, https://derrick-app.com/en/pricing-clearbit-2/, https://www.eesel.ai/blog/how-much-is-breeze-intelligence, https://community.hubspot.com/t5/Clearbit/Breeze-Intelligence/m-p/1143555, https://skrapp.io/blog/clearbit/, https://salesmotion.io/blog/clearbit-alternatives-hubspot-acquisition", "notes": "HubSpot acquired Clearbit (completed ~Dec 2024) and folded it into \"Breeze Intelligence.\" The standalone Clearbit Enrichment API has been deprecated/closed to new customers - there is no independent API signup anymore. Access requires a paid HubSpot subscription (min. reported cost ~$75/mo combining HubSpot Starter + credits) plus HubSpot Credits for enrichment (~$0.01/credit per multiple sources); large-scale external use requires an Enterprise HubSpot contract negotiated with sales. No phone-number enrichment. No MCP server found for either legacy Clearbit or Breeze Intelligence - only generic third-party HubSpot-CRM MCP servers (unrelated to enrichment) were found.", "mcp_status_bucket": "none-found", "api_gate_bucket": "enterprise-only", "mcp_urls": [], "source_urls": [ "https://www.lead411.com/clearbit-pricing/", "https://derrick-app.com/en/pricing-clearbit-2/", "https://www.eesel.ai/blog/how-much-is-breeze-intelligence", "https://community.hubspot.com/t5/Clearbit/Breeze-Intelligence/m-p/1143555", "https://skrapp.io/blog/clearbit/", "https://salesmotion.io/blog/clearbit-alternatives-hubspot-acquisition" ], "source_annotations": [], "vendor_domain": "hubspot.com", "display_name": "Clearbit (now HubSpot Breeze Intelligence)", "docs_url": null, "jobs": [ "enrich-company-from-domain" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-clearbit", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 103, "file_index": 5, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "Clearbit (now HubSpot Breeze Intelligence)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 216 }, { "id": "01-cognism", "slug": "cognism", "normalized_name": "cognism", "name": "Cognism", "vendor_url": "cognism.com", "category": "data-enrichment", "what_it_does": "A B2B contact and company database and sales intelligence platform, positioned around GDPR/CCPA-compliant data for EMEA-focused selling, with a browser extension for LinkedIn/website prospecting and human-verified phone numbers (\"Diamond Data\").", "ai_features": "An \"AI Search\" feature speeds up query-building and account research inside the product. The platform's actual headline differentiator (Diamond Data) is explicitly manual - human researchers call and verify each phone number - so the accuracy claim rests on human verification, not AI, despite AI branding elsewhere in the product.", "mcp_status": "none-found", "mcp_url": null, "mcp_auth": null, "api_gate": "enterprise-only", "revops_role": "Contact/company data provider, typically used alongside outbound tooling for EMEA/GDPR-sensitive prospecting; often positioned as a compliance-forward alternative to ZoomInfo", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.cognism.com/, https://www.cognism.com/about-us, https://viasocket.com/mcp/cognism-prospector, https://www.cleanlist.ai/blog/2026-03-19-cognism-pricing-guide, https://www.marketbetter.ai/blog/cognism-pricing-breakdown-2026/, https://coldiq.com/blog/cognism-pricing", "notes": "The only \"MCP\" result found was a viaSocket connector - viaSocket is a generic no-code integration platform that auto-generates wrapper pages for thousands of apps, not a purpose-built Cognism MCP server, so this does not meet the bar for official/community per the hard laws. No free tier or self-serve trial exists; API access is sold separately as a Data-as-a-Service product, quoted case-by-case and typically layered on top of $20K-$50K+/year platform contracts, with no published pricing.", "mcp_status_bucket": "none-found", "api_gate_bucket": "enterprise-only", "mcp_urls": [], "source_urls": [ "https://www.cognism.com/", "https://www.cognism.com/about-us", "https://viasocket.com/mcp/cognism-prospector", "https://www.cleanlist.ai/blog/2026-03-19-cognism-pricing-guide", "https://www.marketbetter.ai/blog/cognism-pricing-breakdown-2026/", "https://coldiq.com/blog/cognism-pricing" ], "source_annotations": [], "vendor_domain": "cognism.com", "display_name": "Cognism", "docs_url": null, "jobs": [ "search-people-by-criteria", "search-companies-by-firmographics", "enrich-person-from-linkedin-url", "find-work-email", "find-phone-number" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-cognism", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 65, "file_index": 3, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "Cognism", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 217 }, { "id": "01-coresignal", "slug": "coresignal", "normalized_name": "coresignal", "name": "Coresignal", "vendor_url": "coresignal.com", "category": "data-enrichment", "what_it_does": "Sells structured B2B datasets and APIs (company, employee/people, job-posting records) scraped and normalized from public and professional-network sources, delivered as bulk datasets or pay-per-call enrichment APIs.", "ai_features": "Uses ML for record matching, deduplication, and entity resolution across sources - this is data-cleaning automation, not generative AI, despite \"AI-powered\" framing on marketing pages.", "mcp_status": "official", "mcp_url": "https://coresignal.com/mcp-server/", "mcp_auth": "OAuth 2.1 - per docs, the data key is fetched live with every request and never stored, allowing instant revocation", "api_gate": "paid", "revops_role": "Bulk data-layer feed for enrichment pipelines/warehouses - used to seed or backfill CRM/Clay-style tables rather than for one-off lookups.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://coresignal.com/mcp-server/, https://docs.coresignal.com/pricing, https://coresignal.com/pricing/", "notes": "Self-serve API subscriptions start at $49/month (credit-based), with a 7-day free trial (2,000 credits); full bulk datasets start at $1,000; larger volumes require custom enterprise pricing. Credit costs vary by tier (Base/Clean = 1 credit/record, Multi-Source = 2 credits/record).", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://coresignal.com/mcp-server/" ], "source_urls": [ "https://coresignal.com/mcp-server/", "https://docs.coresignal.com/pricing", "https://coresignal.com/pricing/" ], "source_annotations": [], "vendor_domain": "coresignal.com", "display_name": "Coresignal", "docs_url": null, "jobs": [ "search-people-by-criteria", "search-companies-by-firmographics", "enrich-company-from-domain", "scrape-job-postings" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-coresignal", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 407, "file_index": 21, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "Coresignal", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 56 }, { "id": "01-crustdata", "slug": "crustdata", "normalized_name": "crustdata", "name": "Crustdata", "vendor_url": "crustdata.com", "category": "data-enrichment", "what_it_does": "A real-time API for company and person firmographic/growth data (headcount trends, funding, tech stack, web traffic, social signals), positioned as infrastructure for time-sensitive GTM triggers and agent-built prospecting workflows.", "ai_features": "Markets itself as built \"for AI agents\" with Claude Code example workflows; the underlying capability is real-time data aggregation and API delivery, not a proprietary AI model - \"AI-native\" mostly describes agent-friendly API/MCP design, not novel enrichment intelligence.", "mcp_status": "official", "mcp_url": "https://crustdata.com/ (MCP referenced directly on the vendor homepage: \"drop the whole graph into your agent with the MCP, in one line\"; a dedicated MCP docs sub-page was not locatable under docs.crustdata.com)", "mcp_auth": "unknown", "api_gate": "unknown", "revops_role": "Real-time firmographic/trigger-signal layer for outbound (funding events, headcount changes, tech-stack shifts), used alongside or as an alternative to Clay/PDL.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://crustdata.com/, https://docs.crustdata.com/general/pricing, https://crustdata.com/blog/b2b-prospecting-workflow-claude-code", "notes": "MCP existence is confirmed on the vendor's own homepage, but the exact MCP-specific auth flow and a dedicated MCP docs URL could not be pinned down in this pass - mcp_auth and the precise api_gate are marked unknown rather than guessed. Web search/fetch and basic search+enrichment endpoints appear self-serve (free sandbox key referenced); live real-time Person and Company endpoints are explicitly plan-gated per docs.crustdata.com/general/pricing, with no full public price list and credits that expire after 6 months (up to 7 credits per enriched person profile).", "mcp_status_bucket": "official", "api_gate_bucket": "unknown", "mcp_urls": [ "https://crustdata.com/" ], "source_urls": [ "https://crustdata.com/", "https://docs.crustdata.com/general/pricing", "https://crustdata.com/blog/b2b-prospecting-workflow-claude-code" ], "source_annotations": [], "vendor_domain": "crustdata.com", "display_name": "Crustdata", "docs_url": null, "jobs": [ "search-people-by-criteria", "search-companies-by-firmographics", "enrich-company-from-domain", "detect-technographics", "detect-funding-or-news-event" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-crustdata", "also_listed_in": [ { "id": "05-crustdata", "name": "Crustdata", "category_num": "05", "category_slug": "signals-intent-abm", "source_file": "05-signals-intent-abm.md", "canonical": false } ], "source_file": "01-data-enrichment.md", "source_line": 445, "file_index": 23, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "Crustdata", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 128 }, { "id": "01-cufinder", "slug": "cufinder", "normalized_name": "cufinder", "name": "CUFinder", "vendor_url": "cufinder.io", "category": "data-enrichment", "what_it_does": "A credit-based B2B data lookup service where you feed in a company name, domain, LinkedIn URL, or person and get back an enriched company or contact record including verified emails, through a web app or roughly 40 individual API endpoints.", "ai_features": "The weakest AI story in this sweep, and the docs are honest about it even while the homepage is not. CUFinder's own API documentation describes no AI features at all, only enrichment, verification, confidence scoring, matching and normalisation, which are classic deterministic data operations. The marketing site's \"AI verification\" is one classification stage in a five-stage pipeline. The genuinely AI-adjacent thing CUFinder ships is the MCP server itself, which is plumbing letting somebody else's AI call CUFinder, not AI that CUFinder built. Calling this an AI product is a stretch.", "mcp_status": "official", "mcp_url": "https://mcp.cufinder.io/mcp (docs: https://apidoc.cufinder.io/mcp/introduction)", "mcp_auth": "api key from the CUFinder dashboard under Account Settings then API Dashboard. Streamable HTTP transport, explicitly stated by the vendor.", "api_gate": "paid", "revops_role": "Cheap self-serve per-credit enrichment and lookup API for filling gaps in CRM records and building lists without a sales cycle.", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://cufinder.io/pricing, https://apidoc.cufinder.io/apis, https://apidoc.cufinder.io/mcp/introduction, https://mcpservers.org/servers/mcpdoc-cufinder-io-introduction", "notes": "Added 2026-08-25 in the coverage sweep. Fully self-serve with no sales call for standard tiers. Free plan 15 credits with no card. Lite $49/mo (1,000 credits), Standard $129/mo (3,000), Pro $299/mo (10,000, marked most popular), Premium $449/mo (20,000), roughly 30% off annual, plus a custom enterprise tier that does require sales. All tiers include unlimited teammates at no per-seat cost, which is a real differentiator against Lead411's per-seat model in the same file. Credits are consumed only on successful returns. Roughly 40 endpoints: 22 company APIs, 6 contact APIs, 5 general normalisers, 1 jobs API. CAVEAT: the MCP docs say the remote server is \"available on paid plans starting from Growth\" but no tier called Growth exists on the current pricing page (Lite/Standard/Pro/Premium). That is stale doc naming; the safe read is that MCP needs a paid plan and probably starts at Lite $49/mo. A third-party source claims a 50-credit free tier while the vendor page says 15; trust 15. LEGACY NAME TRACE: Software Advice still profiles it under the old \"Company URL Finder\" listing, which is where the name came from, and the old docs host mcpdoc.cufinder.io now 301-redirects to apidoc.cufinder.io. Database size claims of 1B+ profiles and 85M companies are vendor copy, unverified. NOT VERIFIED: the REST API auth header format could not be confirmed from the docs.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://mcp.cufinder.io/mcp", "https://apidoc.cufinder.io/mcp/introduction" ], "source_urls": [ "https://cufinder.io/pricing", "https://apidoc.cufinder.io/apis", "https://apidoc.cufinder.io/mcp/introduction", "https://mcpservers.org/servers/mcpdoc-cufinder-io-introduction" ], "source_annotations": [], "vendor_domain": "cufinder.io", "display_name": "CUFinder", "docs_url": "https://apidoc.cufinder.io/", "jobs": [ "enrich-person-from-linkedin-url", "enrich-company-from-domain", "find-work-email", "verify-email-deliverable" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-cufinder", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 719, "file_index": 37, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "CUFinder", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 59 }, { "id": "01-datagma", "slug": "datagma", "normalized_name": "datagma", "name": "Datagma", "vendor_url": "datagma.com", "category": "data-enrichment", "what_it_does": "An all-in-one B2B enrichment platform that finds work emails and verified mobile phone numbers, appends firmographic company data, and offers a Sales Navigator export/Chrome extension for pulling prospect data directly from LinkedIn.", "ai_features": "No specific AI capability documented in the sources reviewed (pricing, API, and Clay integration pages describe lookup/enrichment across multiple data sources, not an AI/ML process). Treat vendor \"data intelligence\" language as marketing framing over a conventional enrichment pipeline.", "mcp_status": "none-found", "mcp_url": null, "mcp_auth": null, "api_gate": "free", "revops_role": "All-in-one enrichment layer (email/phone/company) used both standalone via API/Chrome extension and as one of several providers in a Clay waterfall (enrich person, enrich company, find email, find mobile, find profile, find employees).", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://composio.dev/toolkits/datagma, https://datagma.com/pricing/, https://university.clay.com/docs/datagma-integration-overview, https://datagma.com/api/", "notes": "No dedicated official or independently-maintained community MCP server was found on GitHub, mcp.so, glama.ai, or pulsemcp.com. Datagma only appears through Composio's generic multi-app \"Tool Router,\" a no-code platform that wraps thousands of unrelated SaaS APIs uniformly - not counted as a genuine product-specific MCP. Datagma is a confirmed Clay enrichment provider. API access is unusually open: included on every tier including the Free plan (3 mobile lookups + 90 verified emails/month), with self-serve paid tiers at $39/$99/$249/mo (or ~20% less billed annually) and a custom Enterprise tier for larger volume.", "mcp_status_bucket": "none-found", "api_gate_bucket": "free", "mcp_urls": [], "source_urls": [ "https://composio.dev/toolkits/datagma", "https://datagma.com/pricing/", "https://university.clay.com/docs/datagma-integration-overview", "https://datagma.com/api/" ], "source_annotations": [], "vendor_domain": "datagma.com", "display_name": "Datagma", "docs_url": null, "jobs": [ "search-people-by-criteria", "enrich-person-from-linkedin-url", "enrich-company-from-domain", "find-work-email", "find-phone-number" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-datagma", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 255, "file_index": 13, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "Datagma", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 177 }, { "id": "01-diffbot", "slug": "diffbot", "normalized_name": "diffbot", "name": "Diffbot", "vendor_url": "diffbot.com", "category": "data-enrichment", "what_it_does": "A web-extraction and \"Knowledge Graph\" company that crawls the public web and structures it into an entity graph (organizations, people, articles) queryable for company/entity enrichment, plus raw article/page-extraction APIs.", "ai_features": "Uses its own long-standing computer-vision and NLP models to parse unstructured web pages into structured entities - genuinely closer to ML-based extraction than most \"AI enrichment\" marketing, though the enrichment/matching layer on top is standard graph lookup.", "mcp_status": "official", "mcp_url": "https://github.com/diffbot/diffbot-mcp", "mcp_auth": "api key (free Diffbot token required to use the MCP tools)", "api_gate": "free", "revops_role": "Entity/company-graph enrichment and web-data extraction layer - used to backfill firmographic detail or monitor company/news events rather than for direct person-level contact finding.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://github.com/diffbot/diffbot-mcp, https://www.diffbot.com/pricing, https://www.diffbot.com/products/knowledge-graph", "notes": "Diffbot is a horizontal web-data/knowledge-graph company, not a purpose-built B2B contact tool - its GTM relevance is mainly company/entity-level enrichment, not email/phone finding. Free tier: 10,000 credits/month, no credit card required. Self-serve paid tiers start at Startup $299/month (250K credits), Plus $899/month (1M credits); Enterprise custom. Extracting a page costs 1 credit; exporting a full Knowledge Graph entity costs 25 credits.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://github.com/diffbot/diffbot-mcp" ], "source_urls": [ "https://github.com/diffbot/diffbot-mcp", "https://www.diffbot.com/pricing", "https://www.diffbot.com/products/knowledge-graph" ], "source_annotations": [], "vendor_domain": "diffbot.com", "display_name": "Diffbot", "docs_url": null, "jobs": [ "enrich-company-from-domain", "detect-funding-or-news-event", "scrape-web-page-for-facts" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/diffbot/diffbot-mcp", "https://github.com/diffbot/diffbot-mcp" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-diffbot", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 521, "file_index": 27, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "Diffbot", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 11 }, { "id": "01-dropcontact", "slug": "dropcontact", "normalized_name": "dropcontact", "name": "Dropcontact", "vendor_url": "dropcontact.com", "category": "data-enrichment", "what_it_does": "A France-based, GDPR-oriented contact enrichment and email-finding/verification service that takes a name plus company (name, domain, or LinkedIn URL) and returns a verified professional email plus cleaned company data, with batch processing of up to 250 contacts at once.", "ai_features": "No strong AI claims found; the vendor's own positioning centers on \"triple verification\" and data-matching/deduplication logic rather than AI/ML. Treat as automation and rules-based verification, not AI-branded.", "mcp_status": "official", "mcp_url": "https://www.dropcontact.com/mcp-dropcontact", "mcp_auth": "Hosted server at mcp.dropcontact.com/mcp/, supporting OAuth (recommended, browser-based) or a Dropcontact API token/key passed via headers; also usable through the npx mcp-remote bridge for clients without native remote-MCP support", "api_gate": "paid", "revops_role": "GDPR-conscious contact enrichment/verification layer for CRM hygiene and list-building; also a widely-used Clay waterfall step (Clay-managed account billed at 2 credits/enriched cell, with a 24h auto-update toggle).", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.dropcontact.com/mcp-dropcontact, https://developer.dropcontact.com, https://www.dropcontact.com/pricing, https://www.clay.com/integrations/data-provider/dropcontact, https://university.clay.com/docs/dropcontact-integration-overview, https://www.dropcontact.com/help/clay-integration, https://support.dropcontact.com/article/237-how-to-use-the-dropcontact-api-key", "notes": "Dropcontact is a clear \"official, vendor-built\" MCP - it has its own product page and a centrally hosted MCP endpoint at mcp.dropcontact.com, distinct from (and in addition to) its long-standing Clay data-provider integration. API & MCP access is bundled starting at the Starter tier (EUR 79/mo, ~500 credits/mo) and up; there is no persistent free API tier, only a \"50 free emails\" signup incentive. Pricing model is pay-on-success (1 credit = 1 email found or verified; credit refunded if nothing found). Lower tiers reportedly throttle API requests to ~100/min, which can bottleneck heavy Clay/n8n automation.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://www.dropcontact.com/mcp-dropcontact" ], "source_urls": [ "https://www.dropcontact.com/mcp-dropcontact", "https://developer.dropcontact.com", "https://www.dropcontact.com/pricing", "https://www.clay.com/integrations/data-provider/dropcontact", "https://university.clay.com/docs/dropcontact-integration-overview", "https://www.dropcontact.com/help/clay-integration", "https://support.dropcontact.com/article/237-how-to-use-the-dropcontact-api-key" ], "source_annotations": [], "vendor_domain": "dropcontact.com", "display_name": "Dropcontact", "docs_url": null, "jobs": [ "enrich-person-from-linkedin-url", "enrich-company-from-domain", "find-work-email", "verify-email-deliverable" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-dropcontact", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 236, "file_index": 12, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "Dropcontact", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 61 }, { "id": "01-enrow", "slug": "enrow", "normalized_name": "enrow", "name": "Enrow", "vendor_url": "enrow.io", "category": "data-enrichment", "what_it_does": "Finds and verifies work email addresses and direct phone numbers from a name plus company domain or a LinkedIn URL, charging only when it returns a verified result.", "ai_features": "Essentially none, and to Enrow's credit they mostly do not claim otherwise; their own API page carries no AI claims at all. The mechanism is pattern generation plus SMTP and catch-all verification plus waterfall sourcing, which is deterministic infrastructure. Catch-all verification infers deliverability where SMTP gives no answer, which is usually statistical heuristics rather than a model. Third-party directory listings describe \"cutting-edge artificial intelligence\", but that is aggregator copy, not vendor copy. The genuinely modern thing here is the MCP server, which is distribution, not intelligence.", "mcp_status": "official", "mcp_url": "https://github.com/EnrowAPI/enrow-mcp (npm @enrow/mcp; listing: https://www.pulsemcp.com/servers?q=enrow)", "mcp_auth": "api key. ENROW_API_KEY env var for stdio, or an Authorization Bearer / x-enrow-api-key header for remote HTTP.", "api_gate": "free", "revops_role": "Cheap pay-per-result waterfall endpoint for email and phone discovery, dropped into enrichment pipelines or agent workflows where you want per-record cost rather than a seat licence.", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://enrow.io/en/pricing, https://enrow.io/en/api, https://docs.enrow.io/, https://docs.enrow.io/authentication, https://github.com/EnrowAPI/enrow-mcp, https://www.pulsemcp.com/servers?q=enrow", "notes": "Added 2026-08-25, closing a named warm lead from this file's previous sweep notes. THE CLEANEST api_gate IN THIS WHOLE SWEEP, and a strong contrast piece against the enterprise-gated incumbents in the same file. Free 50 credits with no card at app.enrow.io/signup. Start $17/mo (1,000 credits), Pro $87/mo (10,000), Scale $397/mo (50,000), Custom $1,000+/mo. Published unit economics: email finder $0.017 down to $0.00794, email verifier $0.00425 down to $0.00198, phone finder $0.68 down to $0.32. Credit consumption: 1 per email found, 0.25 per email verified, 50 per phone found. Credits roll over, unlimited team members on Pro and above, API and MCP on all tiers, key copied from the dashboard with no sales call. Auth is x-api-key; endpoints are async with webhook delivery. The MCP is vendor-owned under the EnrowAPI GitHub org and classified as an official provider on PulseMCP with a 2026-07-09 release date, roughly 12 tools, but the repo is young at roughly 9 commits, so treat maintenance as light. Paris, France, founded 2023, bootstrapped with no disclosed funding, which is a durability note rather than a death signal. Where docs.enrow.io and the marketing API page disagree on endpoint path strings, trust the docs. The homepage claim of \"less than 45% bounce rates\" is almost certainly a vendor typo; do not quote it as a quality stat.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://github.com/EnrowAPI/enrow-mcp", "https://www.pulsemcp.com/servers?q=enrow" ], "source_urls": [ "https://enrow.io/en/pricing", "https://enrow.io/en/api", "https://docs.enrow.io/", "https://docs.enrow.io/authentication", "https://github.com/EnrowAPI/enrow-mcp", "https://www.pulsemcp.com/servers?q=enrow" ], "source_annotations": [], "vendor_domain": "enrow.io", "display_name": "Enrow", "docs_url": "https://docs.enrow.io/", "jobs": [ "find-work-email", "find-phone-number", "verify-email-deliverable" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/EnrowAPI/enrow-mcp", "https://github.com/EnrowAPI/enrow-mcp" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-enrow", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 659, "file_index": 34, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "Enrow", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 12 }, { "id": "01-exa", "slug": "exa", "normalized_name": "exa", "name": "Exa", "vendor_url": "exa.ai", "category": "data-enrichment", "what_it_does": "A search API that returns web pages and structured results ranked by semantic/meaning similarity to a query (embeddings-based) rather than keyword matching, plus tools to fetch page contents and get LLM-generated answers with citations; used in GTM stacks (e.g., Clay) as a research layer to pull live company and person info off the open web.", "ai_features": "Core ranking genuinely uses transformer-based embeddings for semantic (\"neural\") search - that part is real ML, not marketing dressing. The \"Answer\" and \"Agent\"/deep-research endpoints layer an LLM on top to summarize/synthesize results with citations. It is not a proprietary contact database - it's search+summarization over the public web, so coverage/quality depends on what's crawlable and indexed, not a curated B2B dataset.", "mcp_status": "official", "mcp_url": "https://github.com/exa-labs/exa-mcp-server (hosted endpoint https://mcp.exa.ai/mcp)", "mcp_auth": "api key (issued via dashboard.exa.ai)", "api_gate": "free", "revops_role": "Web-research/enrichment layer used to supplement contact databases with live company or person context (news, funding signals, hiring, tech stack) - typically fed into Clay tables or agent workflows rather than used as a system of record.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://github.com/exa-labs/exa-mcp-server, https://exa.ai/mcp, https://exa.ai/pricing, https://exa.ai/docs/reference/pricing", "notes": "New accounts get $20 in free credits (~2,800 searches); free tier also adds $10/month in credits ongoing, then pay-as-you-go - no sales contact required for API access. Pricing is per-endpoint (roughly $7/1k requests for search, ~$1/1k pages for full content, ~$5/1k for the Answer endpoint). Unlike the other tools in this category, Exa has no phone/email verification or contact-database feature - it's general web search/research repurposed for GTM enrichment.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://github.com/exa-labs/exa-mcp-server", "https://mcp.exa.ai/mcp" ], "source_urls": [ "https://github.com/exa-labs/exa-mcp-server", "https://exa.ai/mcp", "https://exa.ai/pricing", "https://exa.ai/docs/reference/pricing" ], "source_annotations": [], "vendor_domain": "exa.ai", "display_name": "Exa", "docs_url": null, "jobs": [ "scrape-web-page-for-facts", "research-account-for-call-prep" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/exa-labs/exa-mcp-server", "https://github.com/exa-labs/exa-mcp-server" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-exa", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 293, "file_index": 15, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "Exa", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 13 }, { "id": "01-explorium", "slug": "explorium", "normalized_name": "explorium", "name": "Explorium", "vendor_url": "explorium.ai", "category": "data-enrichment", "what_it_does": "Aggregates roughly 50 third-party data sources into one API/platform for business and prospect lookup (firmographics, contacts, technographics, business events), claiming coverage of 150M+ companies and 800M+ contacts.", "ai_features": "Branded as \"AgentSource\" for AI agents - the MCP exposes self-describing tools an agent can call at runtime to decide what data it needs and chain lookups; the underlying enrichment/matching is standard multi-source aggregation, not a novel AI model.", "mcp_status": "official", "mcp_url": "https://www.explorium.ai/mcp/ (also listed at https://glama.ai/mcp/servers/explorium-ai/mcp-explorium)", "mcp_auth": "api key", "api_gate": "unknown", "revops_role": "Multi-source aggregation layer for agent-driven enrichment - an alternative to hand-building a waterfall across several point providers.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.explorium.ai/mcp/, https://glama.ai/mcp/servers/explorium-ai/mcp-explorium, https://www.explorium.ai/building-ai-agents/how-to-add-b2b-data-enrichment-to-a-claude-code-agent-step-by-step/", "notes": "Coverage-size claims (150M companies / 800M contacts) are vendor-stated and not independently verified. Vendor content implies self-serve sign-up/trial for the MCP and API, but an explicit self-serve-vs-sales-gated pricing page could not be confirmed, so api_gate is left unknown rather than guessed.", "mcp_status_bucket": "official", "api_gate_bucket": "unknown", "mcp_urls": [ "https://www.explorium.ai/mcp/", "https://glama.ai/mcp/servers/explorium-ai/mcp-explorium" ], "source_urls": [ "https://www.explorium.ai/mcp/", "https://glama.ai/mcp/servers/explorium-ai/mcp-explorium", "https://www.explorium.ai/building-ai-agents/how-to-add-b2b-data-enrichment-to-a-claude-code-agent-step-by-step/" ], "source_annotations": [], "vendor_domain": "explorium.ai", "display_name": "Explorium", "docs_url": null, "jobs": [ "search-people-by-criteria", "search-companies-by-firmographics", "enrich-company-from-domain", "detect-technographics", "detect-funding-or-news-event" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-explorium", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 464, "file_index": 24, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "Explorium", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 132 }, { "id": "01-fiber-ai", "slug": "fiber-ai", "normalized_name": "fiber ai", "name": "Fiber AI", "vendor_url": "fiber.ai", "category": "data-enrichment", "what_it_does": "B2B search and enrichment APIs for finding companies and people by structured filters or natural language, then revealing work emails and phone numbers with live LinkedIn data.", "ai_features": "Natural-language intent parsing over the search filters, plus a shipped agent plugin carrying skills and personas. The data retrieval itself is API lookup, not generation.", "mcp_status": "official", "mcp_url": "https://mcp.fiber.ai/mcp/v3 (vendor agent plugin: https://github.com/fiber-ai/fiber-ai-plugin; machine-readable docs: https://api.fiber.ai/llms.txt)", "mcp_auth": "OAuth via Clerk on the v3 endpoint; x-api-key header on the v2 and legacy endpoints.", "api_gate": "paid", "revops_role": "Prospect discovery and contact-reveal layer for agent-run outbound and recruiting list building.", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://api.fiber.ai/llms.txt, https://github.com/fiber-ai/fiber-ai-plugin, https://www.fiber.ai/, https://api.fiber.ai/docs", "notes": "Added 2026-08-25 in the coverage sweep. Scored official because the plugin repo sits in the fiber-ai GitHub org and the docs are served from the vendor's own api.fiber.ai host. Runs on a credits model, and notably the vendor's own agent-facing docs instruct the agent to confirm spend before any chargeable call and to run a preflight cost estimate before audience enrichment, which is the most agent-aware cost-safety design found in this directory. Y Combinator company. NOT VERIFIED: public pricing is not posted, so per-credit cost is unknown and api_gate \"paid\" reflects the absence of any free tier rather than a confirmed price.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://mcp.fiber.ai/mcp/v3", "https://github.com/fiber-ai/fiber-ai-plugin", "https://api.fiber.ai/llms.txt" ], "source_urls": [ "https://api.fiber.ai/llms.txt", "https://github.com/fiber-ai/fiber-ai-plugin", "https://www.fiber.ai/", "https://api.fiber.ai/docs" ], "source_annotations": [], "vendor_domain": "fiber.ai", "display_name": "Fiber AI", "docs_url": "https://api.fiber.ai/docs", "jobs": [ "search-people-by-criteria", "search-companies-by-firmographics", "enrich-person-from-linkedin-url", "find-work-email", "find-phone-number" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/fiber-ai/fiber-ai-plugin", "https://github.com/fiber-ai/fiber-ai-plugin" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-fiber-ai", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 599, "file_index": 31, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "Fiber AI", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 63 }, { "id": "01-findymail", "slug": "findymail", "normalized_name": "findymail", "name": "Findymail", "vendor_url": "findymail.com", "category": "data-enrichment", "what_it_does": "An email finder and verifier that locates a person's work email from a name+domain, domain-only search, or LinkedIn profile URL, verifies deliverability, and can also retrieve a phone number from a LinkedIn URL.", "ai_features": "No AI claims found on the vendor's own API/pricing pages. Functionality is standard email-pattern generation plus SMTP/deliverability verification - a lookup-and-verify tool, not AI-branded by the vendor in the sources reviewed.", "mcp_status": "none-found", "mcp_url": null, "mcp_auth": null, "api_gate": "free", "revops_role": "Verification-heavy email/phone finder typically used as a secondary or tertiary step in a waterfall (e.g., after Prospeo/Datagma) to catch valid emails other providers miss before handoff to outreach tools.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.findymail.com/pricing/, https://www.findymail.com/api/, https://app.findymail.com/docs/, https://composio.dev/toolkits/findymail, https://university.clay.com/docs/findymail-integration-overview", "notes": "A GitHub repo titled \"Meerkats-Ai/findymail-mcp-server\" surfaced in search results but returns HTTP 404 on direct fetch (no longer public), so per the hard law against inferring unverified MCPs this is recorded as none-found. Findymail is otherwise reachable only through generic no-code MCP-aggregator platforms (Composio, Zapier, Pipedream, Gumloop) that wrap thousands of apps uniformly - not a dedicated, independently-maintained Findymail MCP, so not counted. Findymail is a confirmed Clay \"data provider\" (using your own API key inside Clay requires Clay's Starter plan, $149/mo). Findymail's own API is self-serve: instant API key on signup, free trial 10 credits/no card, paid plans start $49-99/mo, Enterprise is custom/sales-gated only for high volume.", "mcp_status_bucket": "none-found", "api_gate_bucket": "free", "mcp_urls": [], "source_urls": [ "https://www.findymail.com/pricing/", "https://www.findymail.com/api/", "https://app.findymail.com/docs/", "https://composio.dev/toolkits/findymail", "https://university.clay.com/docs/findymail-integration-overview" ], "source_annotations": [], "vendor_domain": "findymail.com", "display_name": "Findymail", "docs_url": null, "jobs": [ "find-work-email", "find-phone-number", "verify-email-deliverable" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-findymail", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 217, "file_index": 11, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "Findymail", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 179 }, { "id": "01-fullenrich", "slug": "fullenrich", "normalized_name": "fullenrich", "name": "FullEnrich", "vendor_url": "https://fullenrich.com", "category": "data-enrichment", "what_it_does": "A B2B contact-enrichment aggregator that runs a single lookup or bulk list through 15+ third-party data vendors in a \"waterfall\" and returns the first verified work/personal email or mobile number found, charging only for hits.", "ai_features": "No meaningful AI/ML claimed beyond vendor orchestration logic; this is automation (parallel/sequential vendor waterfall + verification), not AI-based inference.", "mcp_status": "official", "mcp_url": "https://mcp.fullenrich.com/mcp (setup docs: https://help.fullenrich.com/en/articles/14190120-mcp-server)", "mcp_auth": "oauth (browser sign-in to FullEnrich account; no manual API key needed)", "api_gate": "free", "revops_role": "Waterfall contact enrichment step in outbound/prospecting workflows, typically sitting between a list-building tool (e.g., Sales Navigator export) and a sequencer/CRM.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://fullenrich.com/pricing, https://help.fullenrich.com/en/articles/14190120-mcp-server, https://help.fullenrich.com/en/articles/14595910-connect-fullenrich-mcp-to-claude, https://mcp.pipedream.com/app/fullenrich, https://coldiq.com/blog/fullenrich-pricing", "notes": "Free trial gives 50 credits, no credit card required, with API/MCP access included even on the free tier. Paid plan (Pro) is $55-69/mo (sources vary slightly) for ~1,000 credits/month; Enterprise is custom. Credits are charged only on verified finds (1 credit work email, 3 personal email, 10 mobile phone). The MCP server is confirmed official, built and hosted by FullEnrich itself, using OAuth rather than a static API key.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://mcp.fullenrich.com/mcp", "https://help.fullenrich.com/en/articles/14190120-mcp-server" ], "source_urls": [ "https://fullenrich.com/pricing", "https://help.fullenrich.com/en/articles/14190120-mcp-server", "https://help.fullenrich.com/en/articles/14595910-connect-fullenrich-mcp-to-claude", "https://mcp.pipedream.com/app/fullenrich", "https://coldiq.com/blog/fullenrich-pricing" ], "source_annotations": [], "vendor_domain": "fullenrich.com", "display_name": "FullEnrich", "docs_url": null, "jobs": [ "find-work-email", "find-phone-number" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-fullenrich", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 141, "file_index": 7, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "FullEnrich", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 16 }, { "id": "01-hunter-io", "slug": "hunter-io", "normalized_name": "hunter io", "name": "Hunter.io", "vendor_url": "hunter.io", "category": "data-enrichment", "what_it_does": "An email-finding and verification tool - given a name, domain, or company, it locates likely professional email addresses (via domain pattern-matching and web-crawled data) and verifies deliverability; also offers bulk domain search and a separate higher-volume \"Data Platform\" API for larger-scale lookups.", "ai_features": "Primarily deterministic pattern-matching (common email formats per domain) plus web crawling and deliverability checks (SMTP/syntax verification) - this is data engineering, not AI/ML in any meaningful sense. Notably, Hunter does not prominently market itself as \"AI-powered,\" which is more honest than most competitors in this category.", "mcp_status": "official", "mcp_url": "https://hunter.io/api-documentation#mcp (an earlier open-source repo, github.com/hunter-io/hunter-mcp, is superseded by this hosted remote MCP server)", "mcp_auth": "api key (HUNTER_API_KEY)", "api_gate": "free", "revops_role": "Email-finding/verification utility typically plugged in downstream of a contact-discovery tool (or run directly against a domain list) to fill in or validate email addresses before outreach; also used for domain-wide email-pattern discovery.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://github.com/hunter-io/hunter-mcp, https://hunter.io/pricing, https://hunter.io/api, https://fullenrich.com/content/hunter-io-pricing, https://www.g2.com/products/hunter/pricing", "notes": "The Free tier ($0/mo, 25 searches + 50 verifications/month) includes API access per Hunter's own feature-comparison table, making it one of the few tools here with genuinely self-serve, no-cost API access (rate/volume-limited). Paid tiers: Starter (~$34-49/mo), Growth (~$104-149/mo), Scale (~$209-299/mo depending on annual/monthly billing), Enterprise custom. A separate higher-volume \"Data Platform\" API product uses credit packages starting around $6,500.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://hunter.io/api-documentation#mcp" ], "source_urls": [ "https://github.com/hunter-io/hunter-mcp", "https://hunter.io/pricing", "https://hunter.io/api", "https://fullenrich.com/content/hunter-io-pricing", "https://www.g2.com/products/hunter/pricing" ], "source_annotations": [], "vendor_domain": "hunter.io", "display_name": "Hunter.io", "docs_url": null, "jobs": [ "find-work-email", "verify-email-deliverable" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/hunter-io/hunter-mcp" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-hunter-io", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 350, "file_index": 18, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "Hunter.io", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 19 }, { "id": "01-lead411", "slug": "lead411", "normalized_name": "lead411", "name": "Lead411", "vendor_url": "lead411.com", "category": "data-enrichment", "what_it_does": "A B2B contact and company database with verified emails, direct dials, and growth/intent triggers, queryable by search or by an enrichment API.", "ai_features": "Not established from public sources. The MCP exposes database search and enrichment endpoints; no generative AI capability is documented on the vendor site.", "mcp_status": "official", "mcp_url": "https://mcp.lead411.com/mcp (vendor page: https://www.lead411.com/zoominfo-mcp-server/; registry record: https://registry.modelcontextprotocol.io/v0/servers?search=lead411, namespace io.github.kunal-lead411/lead411; mirror listing: https://www.pulsemcp.com/servers/lead411)", "mcp_auth": "api key via X-API-KEY header. TRANSPORT IS DISPUTED: the official registry record says SSE, PulseMCP says Streamable HTTP. Verify at connect time.", "api_gate": "paid", "revops_role": "Contact and firmographic source feeding list building and CRM enrichment, positioned as a cheaper substitute for Apollo or ZoomInfo.", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://registry.modelcontextprotocol.io/v0/servers?search=lead411, https://www.pulsemcp.com/servers/lead411, https://www.lead411.com/, https://api.lead411.com/v1/docs/", "notes": "Added 2026-08-25 in the coverage sweep. OFFICIAL STATUS, AND HOW IT WAS SETTLED, because the process is the point. The MCP registry record is published under the namespace io.github.kunal-lead411, which proves control of that GitHub account and nothing more; registry namespace verification does NOT establish that a publisher speaks for lead411.com, so on registry evidence alone this would have been scored community. It was upgraded to official only after a page on the vendor's own domain was found that names the product in the vendor's own words: https://www.lead411.com/zoominfo-mcp-server/ states \"The Lead411 MCP Server allows you to take the entire Lead411 dataset of b2b contacts and companies and add it within your own tools or platform.\" That is first-party attestation. Treat \"official\" here as registry-attested plus vendor-acknowledged rather than vendor-documented, because Lead411 publishes no setup docs, no tool list and no auth instructions on its own domain, which is unusual for an official server. THE API GATE IS THE USEFUL FACT: it is explicitly one tier up. Pilot Light free trial $0 for 7 days with 50 exports; Spark $49/mo or $490/yr with API NOT included; Ignite from $150/mo or $1,500/yr WITH API included, roughly 500 successful API requests at the entry point; Blaze enterprise custom quote. So the cheapest route to the API is $150/mo, a 3x jump. Intent data requires annual billing, and the intent feed is a third-party Bombora co-op feed rather than Lead411's own. The AI Search Assistant (natural language to boolean filters) sits on Ignite and Blaze only. MCP is priced separately and sales-gated: the vendor's own page says only \"Pricing is based on company size, number of customers, etc. Talk to us.\" The REST API uses a different scheme entirely: a JWT obtained by POSTing username and password to /v1/authenticate_user, roughly 40+ endpoints. A third-party MCPBundles proxy wrapper also exists at mcp.mcpbundles.com/bundle/lead411-bundle; that is not vendor-hosted, use the official endpoint. LIVE PROBE 2026-08-25: the registry-listed bare host https://mcp.lead411.com returns 404 at the root and at /sse, but https://mcp.lead411.com/mcp returns HTTP 401, which confirms a live auth-gated endpoint at that path. The mcp_url above is corrected to the path that actually answers; the registry record's bare host would not have connected. LIVE PROBE 2026-08-25: the registry-listed bare host https://mcp.lead411.com returns 404 at the root and at /sse, but https://mcp.lead411.com/mcp returns HTTP 401, which confirms a live auth-gated endpoint at that path. The mcp_url above is corrected to the path that actually answers; the registry record's bare host would not have connected.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://mcp.lead411.com/mcp", "https://www.lead411.com/zoominfo-mcp-server/", "https://registry.modelcontextprotocol.io/v0/servers?search=lead411", "https://www.pulsemcp.com/servers/lead411" ], "source_urls": [ "https://registry.modelcontextprotocol.io/v0/servers?search=lead411", "https://www.pulsemcp.com/servers/lead411", "https://www.lead411.com/", "https://api.lead411.com/v1/docs/" ], "source_annotations": [], "vendor_domain": "lead411.com", "display_name": "Lead411", "docs_url": "https://api.lead411.com/v1/docs/", "jobs": [ "search-people-by-criteria", "search-companies-by-firmographics", "enrich-company-from-domain", "find-work-email", "find-phone-number", "fetch-buyer-intent-signals" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-lead411", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 559, "file_index": 29, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "Lead411", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 72 }, { "id": "01-leadmagic", "slug": "leadmagic", "normalized_name": "leadmagic", "name": "LeadMagic", "vendor_url": "https://leadmagic.io", "category": "data-enrichment", "what_it_does": "A B2B contact/company data API and CLI that finds and validates work emails, mobile numbers, and social-to-email matches, plus company/job/ad-intelligence lookups, billing only for successful (valid) results.", "ai_features": "No substantive AI/ML claimed for the core lookup functions; \"accuracy\" and \"confidence score\" outputs are from SMTP/MX validation logic, not generative or learned models. Marketing framing as an \"AI agent\" data API mainly reflects that it is built to be consumed by AI agents/MCP clients, not that its enrichment itself uses AI.", "mcp_status": "official", "mcp_url": "https://github.com/LeadMagic/leadmagic-mcp (hosted endpoint: https://mcp.leadmagic.io/mcp)", "mcp_auth": "api key for local/self-hosted install (LEADMAGIC_API_KEY env var); OAuth Bearer token (Clerk-issued) for the hosted remote MCP - hosted version does not accept static API keys", "api_gate": "free", "revops_role": "Point enrichment/verification step (single lookups or bulk CSV) feeding a sequencer or CRM; positioned as a lightweight, developer-first alternative to larger enrichment suites.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://leadmagic.io/pricing, https://github.com/LeadMagic/leadmagic-mcp, https://mcp.leadmagic.io/, https://leadmagic.io/solutions/mcp, https://www.pulsemcp.com/servers/leadmagic-smartlead, https://syncgtm.com/blog/leadmagic-review, https://coldemailkit.com/tools/leadmagic", "notes": "Fully self-serve, credit-based, no seats/contracts: Basic $59.99/mo (2,500 credits) up through Ultimate $799.99/mo (100,000 credits); credits deduct only on successful/valid results ($0.008/credit baseline, 1 credit/email, 5 credits/mobile). Every plan reportedly includes full API, CLI, and MCP access from a shared credit pool. Independent reviews report email-finding accuracy noticeably lower (~75-85%) than the vendor's claimed 97%, worth flagging for buyers relying on the vendor number.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://github.com/LeadMagic/leadmagic-mcp", "https://mcp.leadmagic.io/mcp" ], "source_urls": [ "https://leadmagic.io/pricing", "https://github.com/LeadMagic/leadmagic-mcp", "https://mcp.leadmagic.io/", "https://leadmagic.io/solutions/mcp", "https://www.pulsemcp.com/servers/leadmagic-smartlead", "https://syncgtm.com/blog/leadmagic-review", "https://coldemailkit.com/tools/leadmagic" ], "source_annotations": [], "vendor_domain": "leadmagic.io", "display_name": "LeadMagic", "docs_url": null, "jobs": [ "enrich-company-from-domain", "find-work-email", "find-phone-number", "verify-email-deliverable", "scrape-job-postings" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/LeadMagic/leadmagic-mcp", "https://github.com/LeadMagic/leadmagic-mcp" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-leadmagic", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 179, "file_index": 9, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "LeadMagic", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 21 }, { "id": "01-lusha", "slug": "lusha", "normalized_name": "lusha", "name": "Lusha", "vendor_url": "lusha.com", "category": "data-enrichment", "what_it_does": "A B2B contact and company database (300M+ profiles) accessed via a browser extension, web prospecting platform, and bulk CSV/API enrichment for finding direct dials, emails, and company data.", "ai_features": "Automated lead-recommendation lists and an AI email-writing assistant sit on top of the core lookup product. The core \"reveal a contact\" function is a straightforward database lookup, not AI - the AI features are add-ons for prioritization and copywriting.", "mcp_status": "official", "mcp_url": "https://github.com/lusha-oss/lusha-public-api-mcp (also https://github.com/lusha-oss/lusha-mcp-plugin; docs: https://docs.lusha.com/mcp-docs)", "mcp_auth": "api key (LUSHA_API_KEY)", "api_gate": "free", "revops_role": "Contact-level enrichment/lookup source, commonly used as one provider inside a Clay-style waterfall, or directly via the browser extension for individual/manual prospecting", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://github.com/lusha-oss/lusha-public-api-mcp, https://docs.lusha.com/mcp-docs, https://docs.lusha.com/user-guide/lushas-api/all-there-is-to-know-about-lushas-api, https://www.vendr.com/marketplace/lusha, https://www.saleshandy.com/blog/lusha-pricing/", "notes": "Per Lusha's own docs, every user gets an API key by default on every plan including Free, with rate limits scaling by tier (Free/Starter: 40 req/min, 100/day; Premium: 300/min, 18,000/day). This contradicts some third-party pricing blogs claiming Free/Starter have no API access - the official docs were treated as authoritative. Self-serve seat purchasing tops out at 5 seats; beyond that, a Scale plan requires a sales quote.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://github.com/lusha-oss/lusha-public-api-mcp", "https://github.com/lusha-oss/lusha-mcp-plugin", "https://docs.lusha.com/mcp-docs" ], "source_urls": [ "https://github.com/lusha-oss/lusha-public-api-mcp", "https://docs.lusha.com/mcp-docs", "https://docs.lusha.com/user-guide/lushas-api/all-there-is-to-know-about-lushas-api", "https://www.vendr.com/marketplace/lusha", "https://www.saleshandy.com/blog/lusha-pricing/" ], "source_annotations": [], "vendor_domain": "lusha.com", "display_name": "Lusha", "docs_url": null, "jobs": [ "search-people-by-criteria", "enrich-person-from-linkedin-url", "enrich-company-from-domain", "find-work-email", "find-phone-number", "draft-personalized-outreach", "score-and-prioritize-leads" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/lusha-oss/lusha-public-api-mcp", "https://github.com/lusha-oss/lusha-mcp-plugin", "https://github.com/lusha-oss/lusha-public-api-mcp" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-lusha", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 84, "file_index": 4, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "Lusha", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 22 }, { "id": "01-ocean-io", "slug": "ocean-io", "normalized_name": "ocean io", "name": "Ocean.io", "vendor_url": "https://www.ocean.io", "category": "data-enrichment", "what_it_does": "A company-search and \"lookalike\" prospecting tool that finds businesses similar to a given target account based on industry, size, geography, and website content, and exports the resulting account lists.", "ai_features": "Genuinely model-based: the vendor describes crawling company website text and building NLP/ML-derived \"Context Vector\" embeddings per company, then scoring similarity across firmographic + semantic + digital-footprint signals to produce lookalike matches. This is closer to real applied ML (embedding similarity) than most \"AI\" enrichment claims, though the underlying accuracy is not independently verified here.", "mcp_status": "official", "mcp_url": "https://app.ocean.io/docs/getting-started/mcp (endpoint: https://api.ocean.io/mcp/?api-token=YOUR_API_TOKEN)", "mcp_auth": "api key (api-token passed as a URL parameter to the hosted MCP endpoint)", "api_gate": "paid", "revops_role": "Account-based prospecting/lookalike list-building, typically used to expand a target account list from a set of best-fit customers before enrichment and outreach.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.ocean.io/pricing, https://book.ocean.io/campaign/api-pricing, https://app.ocean.io/docs/getting-started/mcp, https://github.com/Meerkats-Ai/ocean-io-mcp-server, https://openbenchmarks.com/lookalikes/ocean-io, https://www.ocean.io/features/ai-company-search", "notes": "Direct pricing-page fetch was blocked (403/header errors), so plan names/prices are taken from search-result snippets only: a Trial tier ($0, 14-day) and paid tiers reported variously as Premium ~$79/mo and Professional ~$129/mo, or ~$32/mo billed yearly for 9,000 credits in another source - figures are inconsistent across secondary sources and should be re-verified directly on ocean.io before publishing a hard number. No self-serve free API tier was confirmed; the API pricing page directs to \"contact team for expert guidance,\" suggesting API-level access may require a sales conversation even though the platform itself has a self-serve trial. A separate third-party/community MCP repo also exists (github.com/Meerkats-Ai/ocean-io-mcp-server) but the official vendor-hosted MCP at api.ocean.io/mcp is the primary one.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://app.ocean.io/docs/getting-started/mcp", "https://api.ocean.io/mcp/?api-token=YOUR_API_TOKEN" ], "source_urls": [ "https://www.ocean.io/pricing", "https://book.ocean.io/campaign/api-pricing", "https://app.ocean.io/docs/getting-started/mcp", "https://github.com/Meerkats-Ai/ocean-io-mcp-server", "https://openbenchmarks.com/lookalikes/ocean-io", "https://www.ocean.io/features/ai-company-search" ], "source_annotations": [], "vendor_domain": "ocean.io", "display_name": "Ocean.io", "docs_url": null, "jobs": [ "search-companies-by-firmographics", "build-target-account-list" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/Meerkats-Ai/ocean-io-mcp-server" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-ocean-io", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 160, "file_index": 8, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "Ocean.io", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 79 }, { "id": "01-people-data-labs", "slug": "people-data-labs", "normalized_name": "people data labs", "name": "People Data Labs", "vendor_url": "https://www.peopledatalabs.com", "category": "data-enrichment", "what_it_does": "A raw person/company data API that returns profile records (name, job history, education, skills, social handles, contact fields) matched by identifiers like email, name, or LinkedIn URL, plus SQL-style bulk search over its dataset.", "ai_features": "Uses match-confidence/\"likelihood\" scoring for identity resolution (i.e., probabilistic record matching) and describes some fraud-detection scoring as AI-driven; this is largely statistical matching/scoring rather than generative AI. Vendor and third-party pages use \"AI-powered\" broadly, but the verifiable functionality is data lookup plus a confidence score.", "mcp_status": "community", "mcp_url": "https://github.com/phxdev1/peopledatalabs-mcp", "mcp_auth": "api key (PDL_API_KEY environment variable)", "api_gate": "free", "revops_role": "Bulk/programmatic person and company enrichment feeding a CRM, data warehouse, or downstream identity-resolution pipeline; commonly used as a raw-data backend rather than a polished GTM tool.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://support.peopledatalabs.com/hc/en-us/articles/25794271805211-Pricing-credits, https://nubela.co/blog/people-data-labs-pricing/, https://github.com/phxdev1/peopledatalabs-mcp, https://glama.ai/mcp/servers/phxdev1/peopledatalabs-mcp, https://saleshive.com/vendors/peopledatalabs", "notes": "Free plan is $0/mo, no credit card required, up to 100 records/month, but contact fields (email/phone) return only as true/false flags, not actual values, on the free tier. Self-serve Pro plan starts ~$98/mo (350 records) with full contact field access, tiered per-credit pricing (~$0.25-$0.28/credit for Person data), and a separate $0.55/credit Person Identify API. The MCP server found (github.com/phxdev1/peopledatalabs-mcp) is a third-party/community project, not published by People Data Labs itself - no official PDL-run MCP was found.", "mcp_status_bucket": "community", "api_gate_bucket": "free", "mcp_urls": [ "https://github.com/phxdev1/peopledatalabs-mcp" ], "source_urls": [ "https://support.peopledatalabs.com/hc/en-us/articles/25794271805211-Pricing-credits", "https://nubela.co/blog/people-data-labs-pricing/", "https://github.com/phxdev1/peopledatalabs-mcp", "https://glama.ai/mcp/servers/phxdev1/peopledatalabs-mcp", "https://saleshive.com/vendors/peopledatalabs" ], "source_annotations": [], "vendor_domain": "peopledatalabs.com", "display_name": "People Data Labs", "docs_url": null, "jobs": [ "search-people-by-criteria", "search-companies-by-firmographics", "enrich-person-from-linkedin-url", "enrich-company-from-domain", "reverse-lookup-person-from-email" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/phxdev1/peopledatalabs-mcp", "https://github.com/phxdev1/peopledatalabs-mcp" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-people-data-labs", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 122, "file_index": 6, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "People Data Labs", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 145 }, { "id": "01-prospeo", "slug": "prospeo", "normalized_name": "prospeo", "name": "Prospeo", "vendor_url": "prospeo.io", "category": "data-enrichment", "what_it_does": "A B2B contact database/lookup tool that finds verified work emails and mobile phone numbers for a given person or domain and returns basic firmographic data (headcount, industry, tech stack) for companies; also supports filtered people/company search.", "ai_features": "No credible AI capability surfaced in sources reviewed. Core mechanism is database lookup, email-pattern generation, domain search, and SMTP-based verification - a plain enrichment/lookup tool, not an AI-driven one, despite the modern positioning common in this category.", "mcp_status": "official", "mcp_url": "https://github.com/prospeo-v2/prospeo-mcp-server", "mcp_auth": "OAuth 2.0 for the hosted server (auto-handled by Claude.ai/Desktop via the MCP directory); local/self-hosted setup uses an API key via PROSPEO_API_KEY env var or X-KEY header", "api_gate": "free", "revops_role": "Email/phone finder and person+company search layer, most often plugged into Clay waterfalls (Clay-managed account billed at 2 credits/enriched cell) or used directly as a fallback provider alongside other finders.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://github.com/prospeo-v2/prospeo-mcp-server, https://github.com/prospeo-v2, https://github.com/orchidautomation/prospeo-mcp, https://github.com/Meerkats-Ai/prospeo-mcp-server, https://fullenrich.com/content/prospeo-pricing, https://www.xpay.sh/saas-pricing/prospeo-io/, https://www.clay.com/integrations/data-provider/prospeo, https://university.clay.com/docs/prospeo-integration-overview", "notes": "Confirmed as a Clay \"data provider\" (native waterfall integration), a separate integration surface from the MCP. Besides the official prospeo-v2 MCP repo, at least two unofficial community MCP wrappers exist (orchidautomation/prospeo-mcp, Meerkats-Ai/prospeo-mcp-server), both hitting the same public API. Pricing sources conflict slightly: most describe a self-serve free plan (100 credits/mo) plus paid plans from $39-49/mo, but one third-party source claimed the public pricing page pushes visitors to a sales-contact form - flagged as a discrepancy, not resolved.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://github.com/prospeo-v2/prospeo-mcp-server" ], "source_urls": [ "https://github.com/prospeo-v2/prospeo-mcp-server", "https://github.com/prospeo-v2", "https://github.com/orchidautomation/prospeo-mcp", "https://github.com/Meerkats-Ai/prospeo-mcp-server", "https://fullenrich.com/content/prospeo-pricing", "https://www.xpay.sh/saas-pricing/prospeo-io/", "https://www.clay.com/integrations/data-provider/prospeo", "https://university.clay.com/docs/prospeo-integration-overview" ], "source_annotations": [], "vendor_domain": "prospeo.io", "display_name": "Prospeo", "docs_url": null, "jobs": [ "search-people-by-criteria", "search-companies-by-firmographics", "enrich-company-from-domain", "find-work-email", "find-phone-number", "verify-email-deliverable", "detect-technographics" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/prospeo-v2/prospeo-mcp-server", "https://github.com/prospeo-v2/prospeo-mcp-server", "https://github.com/prospeo-v2", "https://github.com/orchidautomation/prospeo-mcp", "https://github.com/Meerkats-Ai/prospeo-mcp-server" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-prospeo", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 198, "file_index": 10, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "Prospeo", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 29 }, { "id": "01-rocketreach", "slug": "rocketreach", "normalized_name": "rocketreach", "name": "RocketReach", "vendor_url": "rocketreach.co", "category": "data-enrichment", "what_it_does": "A large contact/company lookup database queried by name, company domain, or LinkedIn profile to find work emails, direct dials, and mobile numbers, with bulk lookup and CRM/Salesforce sync.", "ai_features": "No real AI in the core lookup; it's database matching/aggregation across public and proprietary sources with a confidence score. \"AI-powered\" marketing language overstates what is fundamentally record matching, not a novel model.", "mcp_status": "official", "mcp_url": "https://rocketreach.co/resources/products/mcp/ (setup docs: https://docs.rocketreach.co/reference/quick-start)", "mcp_auth": "OAuth 2.1, browser-based; ties to your existing RocketReach account and shares its credit pool (no separate API key needed for the official connector)", "api_gate": "paid", "revops_role": "Contact-level waterfall enrichment / email+phone finder, typically one step in a Clay-style or CRM-integrated outbound stack.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://rocketreach.co/resources/products/mcp/, https://docs.rocketreach.co/reference/quick-start, https://github.com/Meerkats-Ai/rocketreach-mcp-server, https://salesintel.io/blog/rocketreach-pricing-plans/", "notes": "MCP billing explicitly shares the REST API's account-level rate limit/credits - no separate MCP fee. Full API access is reported (via third-party pricing writeups, not RocketReach's own live price page) to require the Ultimate plan (~$2,099/yr); lower tiers may have limited/no API access. An unofficial community MCP (Meerkats-Ai/rocketreach-mcp-server) also exists alongside the official connector.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://rocketreach.co/resources/products/mcp/", "https://docs.rocketreach.co/reference/quick-start" ], "source_urls": [ "https://rocketreach.co/resources/products/mcp/", "https://docs.rocketreach.co/reference/quick-start", "https://github.com/Meerkats-Ai/rocketreach-mcp-server", "https://salesintel.io/blog/rocketreach-pricing-plans/" ], "source_annotations": [], "vendor_domain": "rocketreach.co", "display_name": "RocketReach", "docs_url": null, "jobs": [ "enrich-person-from-linkedin-url", "find-work-email", "find-phone-number" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/Meerkats-Ai/rocketreach-mcp-server" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-rocketreach", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 388, "file_index": 20, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "RocketReach", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 87 }, { "id": "01-seamless-ai", "slug": "seamless-ai", "normalized_name": "seamless ai", "name": "Seamless.AI", "vendor_url": "seamless.ai", "category": "data-enrichment", "what_it_does": "A B2B contact and company database/prospecting tool that lets users search and pull emails, phone numbers, and firmographic data from a claimed 1.9B+ contact / 121M+ company index, plus basic list-building, outreach/campaign sending, and CRM sync.", "ai_features": "Marketed heavily as \"AI-powered,\" but the core function - matching a target list against a contact database and returning emails/phones - is lookup plus data-matching/verification, not generative AI. The new MCP server adds a real LLM-agent layer (natural-language prompts driving search/enrichment/campaign actions), and there's an \"AI research\" account-summarization feature - that layer is genuine LLM use; the underlying contact data itself is a traditional scraped/aggregated database.", "mcp_status": "official", "mcp_url": "https://docs.seamless.ai/mcp-docs (hosted endpoint https://mcp.seamless.ai/mcp)", "mcp_auth": "OAuth 2.1 or API key; docs state \"MCP access must be enabled on your account\" - i.e. gated per-account, contact admin/support to turn on", "api_gate": "enterprise-only", "revops_role": "Top-of-funnel prospecting/contact-discovery source - used to build target lists and pull direct-dial/email data before handoff to outreach tooling; both raw API and (per docs) MCP access are gated behind account-level enablement tied to higher tiers.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://docs.seamless.ai/mcp-docs, https://seamless.ai/customers/blog/products/seamless-mcp-server, https://www.prweb.com/releases/seamlessais-new-mcp-server-takes-you-from-prompt-to-closed-won-deal-302839077.html, https://salesintel.io/blog/seamless-ai-pricing/, https://www.spendhound.com/marketplace/seamlessai-pricing, https://www.cleanlist.ai/blog/2026-03-19-seamless-ai-pricing-guide", "notes": "Multiple independent pricing breakdowns put raw API access on Seamless's Enterprise tier only, with quoted contracts roughly $20k-$100k/year depending on seats/volume; consumer-facing Free/Basic/Pro plans are seat-and-credit based with no documented self-serve API key. Treat \"MCP access must be enabled on your account\" as effectively the same enterprise gate.", "mcp_status_bucket": "official", "api_gate_bucket": "enterprise-only", "mcp_urls": [ "https://docs.seamless.ai/mcp-docs", "https://mcp.seamless.ai/mcp" ], "source_urls": [ "https://docs.seamless.ai/mcp-docs", "https://seamless.ai/customers/blog/products/seamless-mcp-server", "https://www.prweb.com/releases/seamlessais-new-mcp-server-takes-you-from-prompt-to-closed-won-deal-302839077.html", "https://salesintel.io/blog/seamless-ai-pricing/", "https://www.spendhound.com/marketplace/seamlessai-pricing", "https://www.cleanlist.ai/blog/2026-03-19-seamless-ai-pricing-guide" ], "source_annotations": [], "vendor_domain": "seamless.ai", "display_name": "Seamless.AI", "docs_url": null, "jobs": [ "search-people-by-criteria", "search-companies-by-firmographics", "build-target-account-list", "find-work-email", "find-phone-number", "research-account-for-call-prep", "run-email-sequence" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-seamless-ai", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 312, "file_index": 16, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "Seamless.AI", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 119 }, { "id": "01-snov-io", "slug": "snov-io", "normalized_name": "snov io", "name": "Snov.io", "vendor_url": "snov.io", "category": "data-enrichment", "what_it_does": "A B2B prospecting and outreach platform - finds and verifies emails/contacts, enriches company and contact records, manages prospect lists and a lightweight CRM, and runs email drip campaigns plus LinkedIn outreach actions.", "ai_features": "Mostly rule-based lookup, verification, and workflow automation (email finder, email warmup, drip sequencing) - not AI/ML in the underlying data. The 2026 MCP launch adds a genuine LLM-agent layer (natural-language commands driving 100+ underlying actions), but the core prospecting/enrichment data itself is aggregated/verified contact data, not AI-generated.", "mcp_status": "official", "mcp_url": "https://mcp.snov.io/mcp (product page https://snov.io/mcp)", "mcp_auth": "OAuth - user reviews and approves the connection through their Snov.io account; no raw API key is shared with the AI assistant", "api_gate": "paid", "revops_role": "Mid-funnel prospecting/enrichment plus lightweight outreach execution (find contact -> verify -> add to campaign) - positioned as an all-in-one alternative to stitching together a separate finder, verifier, and sequencer.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://snov.io/mcp, https://snov.io/knowledgebase/how-to-use-snov-io-mcp-with-your-ai-assistant/, https://snov.io/pricing, https://snov.io/knowledgebase/faq-pricing-plans/, https://www.bookyourdata.com/blog/snov-io-pricing, https://www.saleshandy.com/blog/snovio-pricing/", "notes": "REST API/webhook access is available \"on all premium plans\" starting at Starter ($39/mo, self-serve signup); the free Trial plan has API access locked. Snov.io states MCP access itself \"is available across all plans, including the free Trial\" - so MCP access is broader than raw API-key access, even though the underlying API is paid-tier only.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://mcp.snov.io/mcp", "https://snov.io/mcp" ], "source_urls": [ "https://snov.io/mcp", "https://snov.io/knowledgebase/how-to-use-snov-io-mcp-with-your-ai-assistant/", "https://snov.io/pricing", "https://snov.io/knowledgebase/faq-pricing-plans/", "https://www.bookyourdata.com/blog/snov-io-pricing", "https://www.saleshandy.com/blog/snovio-pricing/" ], "source_annotations": [], "vendor_domain": "snov.io", "display_name": "Snov.io", "docs_url": null, "jobs": [ "enrich-company-from-domain", "find-work-email", "verify-email-deliverable", "run-email-sequence", "send-linkedin-message", "warm-up-inbox" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-snov-io", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 369, "file_index": 19, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "Snov.io", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 91 }, { "id": "01-surfe", "slug": "surfe", "normalized_name": "surfe", "name": "Surfe", "vendor_url": "surfe.com", "category": "data-enrichment", "what_it_does": "A Chrome extension plus API that pulls contacts and companies off LinkedIn, runs them through a multi-vendor waterfall to find verified emails and mobile numbers, and pushes the records into a CRM.", "ai_features": "Mostly not AI. The core is a waterfall chaining 15+ data providers, which is routing and dedupe logic. Genuinely LLM-shaped: the AI message generation on LinkedIn and an AI-guided daily shortlist that ranks accounts by ICP fit and recent events. The buying-signals feed (funding, hiring spikes, promotions, news) is event scraping plus filters marketed as AI, and the \"AI Agents monitor sources around the clock\" copy describes scheduled monitoring with no evidence of autonomous reasoning agents. Blunt version: the AI here is a message writer and a ranking layer bolted onto a data business.", "mcp_status": "official", "mcp_url": "https://mcp.eu.surfe.com/mcp (docs: https://developers.surfe.com/mcp)", "mcp_auth": "Surfe API key, with a browser sign-in flow that exchanges the key for a managed token so it is entered once, or the key passed directly per call. Hosted remote server only, no public GitHub repo.", "api_gate": "enterprise-only", "revops_role": "LinkedIn-to-CRM capture and waterfall enrichment for SDR teams, with an API and MCP layer for programmatic enrichment and CRM hygiene.", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://www.surfe.com/pricing/, https://www.surfe.com/api/, https://developers.surfe.com/mcp, https://www.surfe.com/leadjet-becomes-surfe/, https://intercom.help/surfe/en/articles/11681517-api-credits-quotas", "notes": "Added 2026-08-25 in the coverage sweep. REBRAND: this was Leadjet, renamed to Surfe in October 2022 alongside a EUR 4M seed led by 360 Capital; Product Hunt still hosts it under the legacy /products/leadjet slug. Dating trap for researchers: the vendor's own rebrand post now carries a republished date of 2026-05-26, which is a content refresh, not the rebrand date. Paris-based, actively shipping, public roadmap at roadmap.surfe.com and release notes at releases.surfe.com. UNRESOLVED CONTRADICTION on api_gate: self-serve tiers are Free $0 (20 email finds, 5 mobile), Essential $49/mo or $39/mo annual, Pro $89/mo or $79/mo annual, Enterprise custom, and ONLY the Enterprise row lists \"API (search and waterfall enrichment)\", with the API product page publishing no API pricing and offering \"Talk to partnerships\". But the developer docs describe an apparently self-serve path with per-endpoint daily quotas from 200 results/day up to 50,000 profiles/day. Recorded as enterprise-only because that is what the vendor's own pricing table says; the docs may simply be ahead of the pricing page. Credits are consumed only on successful returns. Eight MCP tools across People, Companies and Account. NAMING TRAP: \"Surfe MCP\" searches are heavily polluted by SurferSEO, the Surfer waveform viewer, and various crypto \"surf\" servers, none of which are this vendor.", "mcp_status_bucket": "official", "api_gate_bucket": "enterprise-only", "mcp_urls": [ "https://mcp.eu.surfe.com/mcp", "https://developers.surfe.com/mcp" ], "source_urls": [ "https://www.surfe.com/pricing/", "https://www.surfe.com/api/", "https://developers.surfe.com/mcp", "https://www.surfe.com/leadjet-becomes-surfe/", "https://intercom.help/surfe/en/articles/11681517-api-credits-quotas" ], "source_annotations": [], "vendor_domain": "surfe.com", "display_name": "Surfe", "docs_url": "https://developers.surfe.com/", "jobs": [ "enrich-person-from-linkedin-url", "find-work-email", "find-phone-number", "detect-funding-or-news-event", "draft-personalized-outreach", "write-crm-records", "score-and-prioritize-leads" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-surfe", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 679, "file_index": 35, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "Surfe", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 122 }, { "id": "01-the-swarm", "slug": "the-swarm", "normalized_name": "the swarm", "name": "The Swarm", "vendor_url": "theswarm.com", "category": "data-enrichment", "what_it_does": "A professional data and relationship-intelligence platform (500M+ profiles, 50M+ companies) whose differentiator is network mapping - warm-introduction paths, shared work history, education, and investor connections across a team's or partner org's combined network - plus job-change and funding signals, via REST API and a Network Mapper API.", "ai_features": "Not independently assessed in this pass - the docs describe relationship-graph mapping and signal data; no explicit LLM/ML methodology claims were evaluated.", "mcp_status": "official", "mcp_url": "https://bee.theswarm.com/mcp (docs: https://docs.theswarm.com)", "mcp_auth": "OAuth via personal Swarm login (native Claude and ChatGPT app connectors) or team API key via x-api-key header for any MCP client supporting custom headers", "api_gate": "paid", "revops_role": "Relationship-intelligence layer over the account list - who on the team or in partner networks can open a door into a target account - feeding targeting and warm outreach rather than cold contact lookup.", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://docs.theswarm.com/docs/getting-started/introduction, https://docs.theswarm.com/docs/mcp/overview", "notes": "MCP is read-only, respects workspace permissions, credit-based at 1 credit per successful search (empty searches free), available to Owner/Admin/Contributor roles. No public pricing; sales-led. Cross-reference - Commsor was folded into The Swarm's \"Go-to-Network\" product line (see the Commsor entry in 15-community-dark-social.md). Entry added 2026-08-25 from Drew's pointer; a fuller verification pass belongs to the coverage sweep.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://bee.theswarm.com/mcp", "https://docs.theswarm.com" ], "source_urls": [ "https://docs.theswarm.com/docs/getting-started/introduction", "https://docs.theswarm.com/docs/mcp/overview" ], "source_annotations": [], "vendor_domain": "theswarm.com", "display_name": "The Swarm", "docs_url": null, "jobs": [ "discover-warm-intro-paths", "track-job-changes", "detect-funding-or-news-event" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-the-swarm", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 540, "file_index": 28, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "The Swarm", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 96 }, { "id": "01-theirstack", "slug": "theirstack", "normalized_name": "theirstack", "name": "TheirStack", "vendor_url": "theirstack.com", "category": "data-enrichment", "what_it_does": "A job-postings and technographic-data API that tracks live job listings and the tech stack/hiring signals behind them across 195 countries (claims 223M+ jobs, 352K+ sources), queryable for GTM timing/intent signals.", "ai_features": "No generative AI in the core product; it's structured scraping/aggregation of job-board and company data behind a credit-metered search API - a signals database, not an \"AI\" tool.", "mcp_status": "official", "mcp_url": "https://theirstack.com/en/docs/mcp (server endpoint https://api.theirstack.com/mcp; overview at https://theirstack.com/en/job-posting-mcp)", "mcp_auth": "api key (same credentials as the REST API)", "api_gate": "free", "revops_role": "Trigger/intent-signal source (hiring activity + tech-stack changes) that feeds account scoring or timing-based outbound - closer to an enrichment-adjacent signals tool than a pure contact-finder.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://theirstack.com/en/docs/mcp, https://theirstack.com/en/job-posting-mcp, https://theirstack.com/en/pricing", "notes": "Borderline for this category - primarily a hiring/tech-stack signals and trigger tool, not a contact-database or email-finder product; could arguably sit in signals-intent-abm instead. Included because GTM engineers commonly wire it into enrichment/waterfall pipelines for firmographic + hiring context. 200 credits/month free tier; paid plans from $59/month; MCP calls consume the same credit pool as REST calls.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://theirstack.com/en/docs/mcp", "https://api.theirstack.com/mcp", "https://theirstack.com/en/job-posting-mcp" ], "source_urls": [ "https://theirstack.com/en/docs/mcp", "https://theirstack.com/en/job-posting-mcp", "https://theirstack.com/en/pricing" ], "source_annotations": [], "vendor_domain": "theirstack.com", "display_name": "TheirStack", "docs_url": null, "jobs": [ "fetch-buyer-intent-signals", "scrape-job-postings", "detect-technographics" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": false, "canonical_id": "05-theirstack", "also_listed_in": [ { "id": "05-theirstack", "name": "TheirStack", "category_num": "05", "category_slug": "signals-intent-abm", "source_file": "05-signals-intent-abm.md", "canonical": true } ], "source_file": "01-data-enrichment.md", "source_line": 483, "file_index": 25, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "TheirStack", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 34 }, { "id": "01-uplead", "slug": "uplead", "normalized_name": "uplead", "name": "UpLead", "vendor_url": "uplead.com", "category": "data-enrichment", "what_it_does": "A B2B contact database and prospecting tool (vendor claims 160M+ contacts, 95% data accuracy) for building lead lists with verified emails, direct dials, and firmographic/technographic filters, with a browser extension and CRM integrations.", "ai_features": "No distinct AI/ML feature set found beyond standard match-and-verify logic (real-time email verification, intent-data overlays). Marketing emphasizes \"accuracy\" and \"verified,\" not AI - functionally this is a traditional enrichment database rather than an AI product, despite appearing in \"AI tools\" roundups.", "mcp_status": "community", "mcp_url": "https://zapier.com/mcp/uplead (also listed on Pipedream: https://mcp.pipedream.com/app/uplead)", "mcp_auth": "Handled through the Zapier/Pipedream platform's own connector auth (API key entered into that third-party platform), not a UpLead-native OAuth or API-key flow", "api_gate": "paid", "revops_role": "Prospecting/list-build and enrichment source; lower self-serve tiers cover manual search, CSV export, and a limited real-time Enrichment API, while full API/integration-building access requires the top custom-priced tier.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.uplead.com/pricing/, https://zapier.com/mcp/uplead, https://mcp.pipedream.com/app/uplead, https://www.landbase.com/blog/uplead-pricing, https://www.cleanlist.ai/blog/2026-07-15-uplead-pricing-guide", "notes": "No dedicated UpLead-built MCP server was found on github.com, mcp.so, glama.ai, or pulsemcp.com - the only \"MCP\" listings are generic Zapier/Pipedream action-wrapper connectors, so this is marked community/third-party, not an official protocol-native server. Pricing: Essentials ($99/mo billed monthly, ~$74/mo annual) and Plus ($199/mo, ~$149/mo annual) are self-serve and include a limited real-time \"Enrichment API\" (Plus adds a \"Prospector Pro API\" for search). Full/unrestricted API access is reserved for the Professional tier - annual-only, custom-priced, \"Book a Demo\" only, no self-serve checkout - functionally enterprise-gated for complete API use.", "mcp_status_bucket": "community", "api_gate_bucket": "paid", "mcp_urls": [ "https://zapier.com/mcp/uplead", "https://mcp.pipedream.com/app/uplead" ], "source_urls": [ "https://www.uplead.com/pricing/", "https://zapier.com/mcp/uplead", "https://mcp.pipedream.com/app/uplead", "https://www.landbase.com/blog/uplead-pricing", "https://www.cleanlist.ai/blog/2026-07-15-uplead-pricing-guide" ], "source_annotations": [], "vendor_domain": "uplead.com", "display_name": "UpLead", "docs_url": null, "jobs": [ "search-people-by-criteria", "search-companies-by-firmographics", "enrich-company-from-domain", "find-work-email", "find-phone-number", "verify-email-deliverable", "detect-technographics" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-uplead", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 331, "file_index": 17, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "UpLead", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 156 }, { "id": "01-vainu", "slug": "vainu", "normalized_name": "vainu", "name": "Vainu", "vendor_url": "vainu.com", "category": "data-enrichment", "what_it_does": "Sells a licensed database of roughly 5M Nordic registered companies with 700+ fields and around 9M decision-maker contacts, plus scraped and classified trigger events, delivered into a CRM, an API, or Excel.", "ai_features": "A genuinely mixed picture, and the mix is the point. Real ML: event classification, where they scrape news, job postings, company sites and registries then use models to tag events into categories (M&A, funding, hiring, expansion) and resolve them to the right company entity, which is a real NLP problem. Real LLM: the \"Vainu Enrichment Agent\" runs user-written prompts over Vainu records at list scale to produce fit scores and summaries, which is a wrapper over their own data rather than proprietary model work. Not AI: the 700-field company record, financial statements, registry data, CRM sync and prospecting alerts, which are a licensed and scraped database with a scheduler. \"AI-ready company data\" is marketing for \"structured data an LLM can read\".", "mcp_status": "official", "mcp_url": "https://mcp.vainu.ai/mcp (announcement: https://www.vainu.com/blog/product-updates/vainu-mcp/; docs: https://help.vainu.app/en/articles/612044-vainu-mcp)", "mcp_auth": "OAuth 2.0 with PKCE, scoped to existing Vainu permissions, but NOT enabled by default. The vendor help centre says it \"isn't automatically available to all users\" and you must ask a CS manager or email customersuccess@vainu.io.", "api_gate": "paid", "revops_role": "Nordic-market CRM enrichment and data-hygiene backbone with trigger-event alerting bolted on, for teams whose ICP is Finland, Sweden, Norway or Denmark.", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://www.vainu.com/pricing/, https://www.vainu.com/delivery-methods/api/, https://www.vainu.com/blog/product-updates/vainu-mcp/, https://help.vainu.app/en/articles/612044-vainu-mcp, https://developers.vainu.com/docs", "notes": "Added 2026-08-25, closing a named warm lead from this file's previous sweep notes. CATEGORY CALL: this belongs in data-enrichment, not signals-intent-abm. The centre of gravity, the pricing, and the plan names (\"Vainu for Prospecting\", \"Vainu for CRM\", \"Vainu for Data\") are all about getting company records into a CRM and keeping them fresh, and the delivery methods (API, SFTP, CSV, CRM connector) are enrichment plumbing. The signal layer is real (AI-tagged trigger events; get_event_types_reference is a first-class MCP tool) but rides on the database. Critically it is NOT intent data in the Bombora or 6sense sense: no third-party bid stream, no content-consumption intent, no ABM ad layer, no de-anonymisation. RARE FOR THIS CATEGORY: published list prices. Prospecting from EUR 3,500/yr plus EUR 200 onboarding, CRM from EUR 4,200/yr plus EUR 750 onboarding, Data custom, all 12-month auto-renewing with 60-day cancellation notice. API is on all three tiers so it is not tier-gated, but there is no free developer tier and no card-swipe path to a production key; the route in is a trial-request form. Coverage is Nordic-first and weak outside it. Not acquired: an independent Finnish company since 2013, last confirmed outside capital a EUR 4M Round2 Capital growth investment in 2021. MCP tools: search_companies, get_company_context, query_organizations (VQL), document_search, get_event_types_reference, list_organization_fields. NOT VERIFIED: whether a trial token is self-generatable; developers.vainu.com/docs/getting-started returned thin or 404 content.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://mcp.vainu.ai/mcp", "https://www.vainu.com/blog/product-updates/vainu-mcp/", "https://help.vainu.app/en/articles/612044-vainu-mcp" ], "source_urls": [ "https://www.vainu.com/pricing/", "https://www.vainu.com/delivery-methods/api/", "https://www.vainu.com/blog/product-updates/vainu-mcp/", "https://help.vainu.app/en/articles/612044-vainu-mcp", "https://developers.vainu.com/docs" ], "source_annotations": [], "vendor_domain": "vainu.com", "display_name": "Vainu", "docs_url": "https://developers.vainu.com/docs", "jobs": [ "search-companies-by-firmographics", "enrich-company-from-domain", "detect-funding-or-news-event", "score-and-prioritize-leads" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-vainu", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 699, "file_index": 36, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "Vainu", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 98 }, { "id": "01-versium-reach", "slug": "versium-reach", "normalized_name": "versium reach", "name": "Versium REACH", "vendor_url": "versium.com", "category": "data-enrichment", "what_it_does": "An identity-graph append service that turns partial contact records into enriched B2B and B2C profiles, plus audience sizing and real-time email validation.", "ai_features": "The MCP layer translates natural language into REACH API calls. The underlying identity resolution is deterministic graph matching, not AI. This is a clean example of an \"AI\" surface bolted onto a non-AI core, and the entry says so.", "mcp_status": "official", "mcp_url": "https://app.versium.com/mcp/reach (docs: https://reach-help.versium.com/docs/mcp-overview; announcement: https://versium.com/blog/versium-launches-versium-reach-mcp-server/)", "mcp_auth": "OAuth, and the client must support dynamic client registration.", "api_gate": "paid", "revops_role": "Identity resolution and append step between raw lead capture and CRM or ad-platform activation.", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://versium.com/blog/versium-launches-versium-reach-mcp-server/, https://versium.com/versium-reach-mcp/, https://reach-help.versium.com/docs/mcp-overview, https://www.pulsemcp.com/servers/versium-reach", "notes": "Added 2026-08-25 in the coverage sweep. Launched February 2026. Tool surface covers contact, demographic and firmographic appends, C2B and IP-to-domain resolution, a consumer audience builder, B2B list estimates, and email hygiene. Requires an existing REACH account, so a solo operator needs a paid seat before the MCP is usable. The dynamic-client-registration requirement is a real compatibility constraint: clients that do not implement DCR cannot connect at all.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://app.versium.com/mcp/reach", "https://reach-help.versium.com/docs/mcp-overview", "https://versium.com/blog/versium-launches-versium-reach-mcp-server/" ], "source_urls": [ "https://versium.com/blog/versium-launches-versium-reach-mcp-server/", "https://versium.com/versium-reach-mcp/", "https://reach-help.versium.com/docs/mcp-overview", "https://www.pulsemcp.com/servers/versium-reach" ], "source_annotations": [], "vendor_domain": "versium.com", "display_name": "Versium REACH", "docs_url": "https://reach-help.versium.com/docs/mcp-overview", "jobs": [ "verify-email-deliverable" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-versium-reach", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 579, "file_index": 30, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "Versium REACH", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 99 }, { "id": "01-warmly", "slug": "warmly", "normalized_name": "warmly", "name": "Warmly", "vendor_url": "warmly.ai", "category": "data-enrichment", "what_it_does": "A website-visitor de-anonymization and intent platform that identifies companies (and increasingly named individuals) visiting a customer's site from IP/behavioral signals, then enriches those visitor records with firmographic and contact data for follow-up.", "ai_features": "Marketing uses \"autonomous revenue agents\" framing; visitor identification itself relies on IP-to-company resolution and third-party data matching, not a proprietary breakthrough model. Some workflow/orchestration features (auto-sequencing follow-up) are closer to genuine LLM-driven automation.", "mcp_status": "official", "mcp_url": "https://www.warmly.ai/launches/warmly-mcp-and-api-are-live (server hosted at opps-api.getwarmly.com)", "mcp_auth": "OAuth for the MCP connector; API key for the REST API", "api_gate": "free", "revops_role": "Top-of-funnel visitor identification + enrichment, feeding contact-level detail into CRM/outbound tools once an anonymous visitor is resolved to a company or person.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.warmly.ai/launches/warmly-mcp-and-api-are-live, https://www.warmly.ai/p/pricing-copy-2, https://gzconsulting.substack.com/p/warmly-website-enrichment-via-claude", "notes": "Primarily a visitor-identification/intent product with enrichment as a downstream feature rather than a standalone contact database like Hunter/Apollo - borderline fit for this category, may belong better in signals-intent-abm. MCP server is free with every account (250 credits/month); paid packages start at $99 (500 credits); enterprise de-anonymization contracts start around $10,000/year for 10,000 credits/month.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://www.warmly.ai/launches/warmly-mcp-and-api-are-live" ], "source_urls": [ "https://www.warmly.ai/launches/warmly-mcp-and-api-are-live", "https://www.warmly.ai/p/pricing-copy-2", "https://gzconsulting.substack.com/p/warmly-website-enrichment-via-claude" ], "source_annotations": [], "vendor_domain": "warmly.ai", "display_name": "Warmly", "docs_url": null, "jobs": [ "enrich-company-from-domain", "identify-anonymous-website-visitor", "fetch-buyer-intent-signals", "run-email-sequence", "answer-inbound-chat" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": false, "canonical_id": "05-warmly", "also_listed_in": [ { "id": "05-warmly", "name": "Warmly (Warmly.ai)", "category_num": "05", "category_slug": "signals-intent-abm", "source_file": "05-signals-intent-abm.md", "canonical": true } ], "source_file": "01-data-enrichment.md", "source_line": 502, "file_index": 26, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "Warmly", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 37 }, { "id": "01-wiza", "slug": "wiza", "normalized_name": "wiza", "name": "Wiza", "vendor_url": "wiza.co", "category": "data-enrichment", "what_it_does": "Pulls verified work emails and mobile numbers for people found on LinkedIn or Sales Navigator and exports them to CSV or a CRM.", "ai_features": "One genuine AI surface, \"AI Research\" / AI Columns, which takes a natural-language question about a company or contact, scans the public web, and returns a structured answer plus a reasoning string as a filterable column. Everything else, the 850M-contact database, the Chrome extension, the SMTP deliverability check, is a database with a filter and a mail-server ping. Wiza does not disclose which model powers AI Research.", "mcp_status": "official", "mcp_url": "https://mcp.wiza.co/mcp (docs: https://mcp.wiza.co/usage.html; announced at https://feedback.wiza.co/changelog/wiza-mcp)", "mcp_auth": "OAuth 2.1 with PKCE for clients that support it, otherwise a static bearer token in the Authorization header using a Wiza API key. Streamable HTTP transport.", "api_gate": "paid", "revops_role": "Top-of-funnel contact acquisition sitting between Sales Navigator and the CRM or sequencer, with an optional LLM research column for ICP qualification.", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://wiza.co/pricing, https://docs.wiza.co/, https://mcp.wiza.co/usage.html, https://feedback.wiza.co/changelog/wiza-mcp, https://wiza.co/ai-research", "notes": "Added 2026-08-25, closing a named warm lead from this file's previous sweep notes. Self-serve tiers are Free $0 (20 valid emails, 5 phones), Starter $49/mo, Email $99/mo, Email + Phone $199/mo, with annual at $990/yr and $1,990/yr. UNRESOLVED CONTRADICTION worth flagging to readers: \"API access\" appears on the pricing page only under the custom-priced, 3+ seat, annual Team plan, which means a sales call, while the MCP changelog says the server \"is available today for all Wiza users\" and needs only \"a Wiza API key\". Neither docs page states a plan requirement. Settling this needs an account, so api_gate is recorded as paid on the pricing page's authority. Documented MCP tools: enrich_contact, enrich_company, get_credits, search_companies, search_prospects.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://mcp.wiza.co/mcp", "https://mcp.wiza.co/usage.html", "https://feedback.wiza.co/changelog/wiza-mcp" ], "source_urls": [ "https://wiza.co/pricing", "https://docs.wiza.co/", "https://mcp.wiza.co/usage.html", "https://feedback.wiza.co/changelog/wiza-mcp", "https://wiza.co/ai-research" ], "source_annotations": [], "vendor_domain": "wiza.co", "display_name": "Wiza", "docs_url": "https://docs.wiza.co/", "jobs": [ "enrich-person-from-linkedin-url", "find-work-email", "find-phone-number", "verify-email-deliverable", "research-account-for-call-prep" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-wiza", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 619, "file_index": 32, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "Wiza", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 101 }, { "id": "01-zoominfo", "slug": "zoominfo", "normalized_name": "zoominfo", "name": "ZoomInfo", "vendor_url": "zoominfo.com", "category": "data-enrichment", "what_it_does": "A B2B contact/company database and go-to-market platform (500M+ contacts, 100M+ companies) built from web crawling, public filings, and human researchers, used for prospecting, account research, and lead enrichment.", "ai_features": "ML is used for record matching/deduplication and lead scoring; \"Copilot\" is an AI assistant that summarizes accounts, prioritizes leads, and drafts outreach emails on top of the database. The core value (the data itself) is not AI-generated - the AI layer is a research/writing assistant bolted onto a traditional data product.", "mcp_status": "official", "mcp_url": "https://mcp.zoominfo.com/mcp (server card at https://gtm.ai/.well-known/mcp/server-card.json; plugin repo https://github.com/Zoominfo/zoominfo-mcp-plugin)", "mcp_auth": "OAuth for user-level access, or client credentials for service accounts; no API keys stored by the client. A local mcp-remote bridge is used for stdio clients.", "api_gate": "free (CHANGED 2026-08-25, see notes - the MCP/API path is now self-serve via GTM.AI; the classic seat-based ZoomInfo platform remains enterprise-only)", "revops_role": "Upstream contact/company data source feeding CRM, enrichment, and outbound tooling; typically the \"system of record\" for firmographic/contact data in larger RevOps stacks", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://gtm.ai/, https://gtm.ai/pricing, https://gtm.ai/docs/mcp, https://gtm.ai/docs/mcp/clients, https://gtm.ai/.well-known/mcp/server-card.json, https://gtm.ai/llms.txt, https://www.businesswire.com/news/home/20260601055723/en/ZoomInfo-Launches-GTM.AI-the-Headless-GTM-Context-Layer-to-Ground-Every-AI-Agent-in-Verified-GTM-Data, https://ir.zoominfo.com/news-releases/news-release-details/zoominfo-launches-gtmai-cli-bringing-verified-gtm-data-command/, https://github.com/Zoominfo/zoominfo-mcp-plugin, https://pipeline.zoominfo.com/operations/zoominfo-mcp-server, https://www.cleanlist.ai/blog/2026-03-19-zoominfo-pricing-guide", "notes": "MATERIAL CHANGE FOUND 2026-08-25, and it contradicts this directory's own headline finding that legacy incumbents are enterprise-gated. ZoomInfo launched GTM.AI (gtm.ai), a \"headless GTM context layer,\" announced 2026-06-01, plus a GTM.AI CLI. The published pricing page states \"one tier, no contract, no seat fees,\" 1,000 data credits plus 1,000 AI credits free to start with no credit card, then pay-as-you-go from a $20 minimum top-up at $0.10 per data credit (launch promo; $0.35 regular) and $0.05 per AI credit, charged once per record per year. Search, lookup, find-similar and GTM-context tools are documented as free to call; credits are consumed only on enrichment and AI research. The server card declares 22 tools (account_research, browse_audiences, browse_engagements, contact_research, conversation_intelligence, enrich_companies, enrich_company_signals, enrich_contacts, enrich_intent, enrich_news, enrich_scoops, find_recommended_contacts, find_similar_companies, find_similar_contacts, get_audience, gtm_context, lookup, search_companies, search_contacts, search_intent, search_scoops, update_gtm_context) at server version 3.0 over HTTP. gtm.ai also publishes /.well-known/agent-skills/index.json and /.well-known/api-catalog, which is the most agent-native discovery surface found anywhere in this directory. PRIOR STATE, kept on the record: as of 2026-08-24 this entry read api_gate enterprise-only, on the basis that no self-serve path existed and API access shipped inside annual contracts reportedly starting around $50K/year. That classic seat-based platform motion still exists; what changed is that a credit-metered self-serve door opened next to it. NOT VERIFIED THIS PASS: whether the free GTM.AI tier's data coverage matches a paid ZoomInfo seat, and whether \"ZoomInfo Lite\" (named in secondary sources as the permanent free tier) is the same thing as the GTM.AI free tier or a separate product. Both need a hands-on check before this is used on camera.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://mcp.zoominfo.com/mcp", "https://gtm.ai/.well-known/mcp/server-card.json", "https://github.com/Zoominfo/zoominfo-mcp-plugin" ], "source_urls": [ "https://gtm.ai/", "https://gtm.ai/pricing", "https://gtm.ai/docs/mcp", "https://gtm.ai/docs/mcp/clients", "https://gtm.ai/.well-known/mcp/server-card.json", "https://gtm.ai/llms.txt", "https://www.businesswire.com/news/home/20260601055723/en/ZoomInfo-Launches-GTM.AI-the-Headless-GTM-Context-Layer-to-Ground-Every-AI-Agent-in-Verified-GTM-Data", "https://ir.zoominfo.com/news-releases/news-release-details/zoominfo-launches-gtmai-cli-bringing-verified-gtm-data-command/", "https://github.com/Zoominfo/zoominfo-mcp-plugin", "https://pipeline.zoominfo.com/operations/zoominfo-mcp-server", "https://www.cleanlist.ai/blog/2026-03-19-zoominfo-pricing-guide" ], "source_annotations": [], "vendor_domain": "zoominfo.com", "display_name": "ZoomInfo", "docs_url": "https://gtm.ai/docs", "jobs": [ "search-people-by-criteria", "search-companies-by-firmographics", "enrich-company-from-domain", "find-work-email", "find-phone-number", "research-account-for-call-prep", "draft-personalized-outreach", "score-and-prioritize-leads" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/Zoominfo/zoominfo-mcp-plugin", "https://github.com/Zoominfo/zoominfo-mcp-plugin" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "01-zoominfo", "also_listed_in": [], "source_file": "01-data-enrichment.md", "source_line": 7, "file_index": 0, "category_num": "01", "category_slug": "data-enrichment", "category_label": "Data & Enrichment", "heading": "ZoomInfo", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 41 }, { "id": "02-amplemarket", "slug": "amplemarket", "normalized_name": "amplemarket", "name": "Amplemarket", "vendor_url": "amplemarket.com", "category": "engagement-outbound", "what_it_does": "An all-in-one sales engagement platform that finds leads, runs multichannel outbound sequences (email/social/phone/voice), and optimizes email deliverability.", "ai_features": "Vendor markets \"Duo Copilot\" as an AI sales agent — generative personalization/objection handling in outreach copy, AI-driven signal detection across job changes/reviews/social/website visits, AI voice cloning for personalized voice notes, and AI company research/copywriting. Vendor-stated only; independent verification of what is genuinely ML-driven vs. templated was not possible from public sources.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "unknown", "revops_role": "Outbound execution layer (sequencing, deliverability, unified inbox) that would sit downstream of a data/enrichment source, feeding activity data into a CRM.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.amplemarket.com/, https://glama.ai/mcp/servers?query=amplemarket", "notes": "No public API/developer-docs page was found (an /api path 404'd, help-center subdomain unreachable) — could not confirm whether a general-purpose API exists at all. The one MCP hit indexed under Amplemarket's name (glama.ai/mcp/servers/artem-amplemarket/amplemarket-pylon-mcp) only searches Amplemarket's Pylon-hosted help-center articles, not the sales platform — not counted as a product MCP.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.amplemarket.com/", "https://glama.ai/mcp/servers?query=amplemarket" ], "source_annotations": [], "vendor_domain": "amplemarket.com", "display_name": "Amplemarket", "docs_url": null, "jobs": [ "search-people-by-criteria", "fetch-buyer-intent-signals", "track-job-changes", "run-email-sequence", "send-linkedin-message", "draft-personalized-outreach", "place-outbound-call" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "02-amplemarket", "also_listed_in": [ { "id": "04-amplemarket", "name": "Amplemarket (Duo Copilot)", "category_num": "04", "category_slug": "ai-sdr-agents", "source_file": "04-ai-sdr-agents.md", "canonical": false } ], "source_file": "02-engagement-outbound.md", "source_line": 445, "file_index": 23, "category_num": "02", "category_slug": "engagement-outbound", "category_label": "Engagement & Outbound", "heading": "Amplemarket", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 233 }, { "id": "02-apollo-io-sequences", "slug": "apollo-io-sequences", "normalized_name": "apollo io sequences", "name": "Apollo.io Sequences (Emailer Campaigns)", "vendor_url": "apollo.io", "category": "engagement-outbound", "what_it_does": "Apollo's outbound-sequencing feature — multi-step, multi-channel (email/call/task) cadences that enroll contacts pulled from Apollo's prospecting database and track send/reply state.", "ai_features": "No sequence-specific AI capability was independently verified beyond standard automation (step sequencing, contact-state tracking to prevent double-sends). Apollo's separate \"AI Assistant\"/\"AI Research\" features (documented under its data-enrichment entry) are account-level, not sequence-specific.", "mcp_status": "official", "mcp_url": "https://github.com/apolloio/apollo-mcp-plugin (hosted server at https://mcp.apollo.io/mcp; listed in the official MCP Registry)", "mcp_auth": "OAuth (Apollo.io sign-in/authorization flow; no API key required for this MCP)", "api_gate": "enterprise-only", "revops_role": "Execution/engagement module inside Apollo's core platform — same product surface as its prospecting/enrichment tool but a distinct API namespace for enrolling and managing cadences.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.apollo.io/developers, https://www.apollo.io/pricing, https://github.com/apolloio/apollo-mcp-plugin", "notes": "Included here as its own entry (rather than folded into Apollo's data-enrichment listing) because it has a genuinely distinct API surface: POST /api/v1/emailer_campaigns to create a sequence and POST /api/v1/emailer_campaigns/{id}/add_contact_ids to enroll contacts, separate from the prospecting/enrichment endpoints. The official MCP server explicitly treats \"outreach sequence workflows\" as a separate capability group from prospecting/enrichment. Apollo's pricing page states API access generally is offered on \"Custom\" (negotiated/enterprise) plans; sequences are usable in-app on all tiers, but programmatic API access to them is enterprise-gated.", "mcp_status_bucket": "official", "api_gate_bucket": "enterprise-only", "mcp_urls": [ "https://github.com/apolloio/apollo-mcp-plugin", "https://mcp.apollo.io/mcp" ], "source_urls": [ "https://www.apollo.io/developers", "https://www.apollo.io/pricing", "https://github.com/apolloio/apollo-mcp-plugin" ], "source_annotations": [], "vendor_domain": "apollo.io", "display_name": "Apollo.io Sequences (Emailer Campaigns)", "docs_url": null, "jobs": [ "run-email-sequence", "place-outbound-call", "read-outreach-performance" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/apolloio/apollo-mcp-plugin", "https://github.com/apolloio/apollo-mcp-plugin" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "02-apollo-io-sequences", "also_listed_in": [], "source_file": "02-engagement-outbound.md", "source_line": 464, "file_index": 24, "category_num": "02", "category_slug": "engagement-outbound", "category_label": "Engagement & Outbound", "heading": "Apollo.io Sequences", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 105 }, { "id": "02-autobound", "slug": "autobound", "normalized_name": "autobound", "name": "Autobound", "vendor_url": "autobound.ai", "category": "engagement-outbound", "what_it_does": "Generates personalised outbound email copy and openers from live buyer signals, and sells the underlying signal data as an API and MCP feed.", "ai_features": "Signal ranking plus generative copy from a claimed 700+ insight types and 35+ proprietary signal categories (job changes, funding, hiring, news, podcast and LinkedIn activity). The signal collection layer is data engineering; the ranking and content generation is the AI claim. Vendor copy is the only source for the \"700+ insights\" figure.", "mcp_status": "official", "mcp_url": "https://www.autobound.ai/integrations/mcp (npm package @autobound-ai/mcp-server, installed via npx -y @autobound-ai/mcp-server; announcement: https://www.autobound.ai/blog/announcing-autobounds-model-context-protocol-mcp)", "mcp_auth": "api key via an AUTOBOUND_API_KEY environment variable in the MCP client config.", "api_gate": "free", "revops_role": "Personalisation and signal layer that sits underneath a sequencer (Outreach, Salesloft, Apollo) or feeds an agent directly, rather than sending mail itself.", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://www.autobound.ai/integrations/mcp, https://www.autobound.ai/pricing, https://www.autobound.ai/platform/embedded-api, https://www.autobound.ai/blog/announcing-autobounds-model-context-protocol-mcp, https://www.autobound.ai/blog/may-2026-product-update, https://autobound-api.readme.io/docs/introduction, https://www.speakeasy.com/customers/autobound", "notes": "Added 2026-08-25 in the coverage sweep. ONE OF THE VERY FEW VENDORS IN THIS ENTIRE DIRECTORY where a solo operator can get a real API key and a working MCP server in minutes with zero sales contact: signup grants 1,000 free credits with no credit card and no sales call per the vendor pricing page. Published paid tiers: Starter $19 (2,000 credits), Growth $49, Scale $149, Pro $499, Business $1,299, Enterprise $4,999. The pricing page states the REST API plus MCP server are included on every plan with no tier restriction. TWO VENDOR SELF-CONFLICTS to note: the Embedded API page tells developers to email Autobound to \"get provisioned with an API key\" while the pricing page shows self-serve, and the MCP page says 100 free credits while the pricing page says 1,000. Treat the pricing page as canonical for credits. Tool count is also inconsistent across vendor pages: the May 2026 update says 11 tools, the MCP integrations page says 14 (signal_search, company_enrich, contact_enrich, company_timeline, contact_timeline, signal_types, account_info plus bulk and monitoring tools). The MCP server itself is described as free and open source; you pay for credit consumption.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://www.autobound.ai/integrations/mcp", "https://www.autobound.ai/blog/announcing-autobounds-model-context-protocol-mcp" ], "source_urls": [ "https://www.autobound.ai/integrations/mcp", "https://www.autobound.ai/pricing", "https://www.autobound.ai/platform/embedded-api", "https://www.autobound.ai/blog/announcing-autobounds-model-context-protocol-mcp", "https://www.autobound.ai/blog/may-2026-product-update", "https://autobound-api.readme.io/docs/introduction", "https://www.speakeasy.com/customers/autobound" ], "source_annotations": [], "vendor_domain": "autobound.ai", "display_name": "Autobound", "docs_url": "https://autobound-api.readme.io", "jobs": [ "fetch-buyer-intent-signals", "track-job-changes", "detect-funding-or-news-event", "draft-personalized-outreach" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "02-autobound", "also_listed_in": [], "source_file": "02-engagement-outbound.md", "source_line": 503, "file_index": 26, "category_num": "02", "category_slug": "engagement-outbound", "category_label": "Engagement & Outbound", "heading": "Autobound", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 4 }, { "id": "02-expandi", "slug": "expandi", "normalized_name": "expandi", "name": "Expandi", "vendor_url": "expandi.io", "category": "engagement-outbound", "what_it_does": "Cloud-based LinkedIn (+ email) outreach automation tool that runs connection/message sequences from a dedicated cloud IP per LinkedIn account.", "ai_features": "none-found — no distinct AI-labeled feature surfaced on the pricing page; personalization is template/variable-based, and media personalization runs through a third-party Senspark video/GIF integration rather than proprietary AI.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "unknown", "revops_role": "LinkedIn (+email) sequence-execution tool integrating into a stack only via webhooks/Zapier, since no public API was found.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://expandi.io/pricing/, https://www.salesforge.ai/directory/sales-tools/expandi", "notes": "Multiple independent sources state Expandi has no public API, only webhook/Zapier/CRM connectors (HubSpot, Salesforce, Pipedrive). Base plan is $99/mo (or $79/mo annual) per LinkedIn account with no free tier. Subject to the same LinkedIn User Agreement automation restrictions as all tools in this section.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://expandi.io/pricing/", "https://www.salesforge.ai/directory/sales-tools/expandi" ], "source_annotations": [], "vendor_domain": "expandi.io", "display_name": "Expandi", "docs_url": null, "jobs": [ "run-email-sequence", "send-linkedin-message" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "02-expandi", "also_listed_in": [], "source_file": "02-engagement-outbound.md", "source_line": 369, "file_index": 19, "category_num": "02", "category_slug": "engagement-outbound", "category_label": "Engagement & Outbound", "heading": "Expandi", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 248 }, { "id": "02-groove", "slug": "groove", "normalized_name": "groove", "name": "Groove", "vendor_url": "groove.co (product page now at clari.com/products/groove/)", "category": "engagement-outbound", "what_it_does": "Salesforce-native sales engagement and prospecting platform — multichannel outbound automation and activity capture — operated as a module of the Clari revenue platform since its 2023 acquisition.", "ai_features": "Vendor states \"AI-powered automation and predictive insights\" for journey-stage progression, AI email generation, and access to Clari's broader \"Revenue AI Agents.\" No page found breaks down which are model-driven vs. workflow automation — vendor-stated only.", "mcp_status": "unknown", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "unknown", "revops_role": "Outbound execution layer embedded in Salesforce, increasingly folded into Clari's forecasting stack — functionally overlapping with Salesloft inside the same parent company post-merger.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.clari.com/products/groove/, https://marketbetter.ai/blog/groove-clari-review-2026/, https://www.getmaxiq.com/blog/clari-salesloft-merger-guide, https://www.salesloft.com/company/newsroom/clari-salesloft-forecasting-execution-mcp-server", "notes": "Clari (Groove's parent) launched an MCP server in 2026 described as covering \"the full Clari + Salesloft platform,\" but no source explicitly confirmed Groove-specific actions/data are in scope, hence mcp_status: unknown rather than official. A \"groove-mcp\" GitHub repo exists but belongs to the unrelated Groove HQ support-ticketing product — do not cite it for this tool. Clari/Salesloft merged Dec 2025, creating direct product overlap between Groove and Salesloft worth flagging to anyone evaluating both.", "mcp_status_bucket": "unknown", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.clari.com/products/groove/", "https://marketbetter.ai/blog/groove-clari-review-2026/", "https://www.getmaxiq.com/blog/clari-salesloft-merger-guide", "https://www.salesloft.com/company/newsroom/clari-salesloft-forecasting-execution-mcp-server" ], "source_annotations": [], "vendor_domain": "groove.co", "display_name": "Groove", "docs_url": null, "jobs": [ "run-email-sequence", "draft-personalized-outreach", "write-crm-records" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "02-groove", "also_listed_in": [], "source_file": "02-engagement-outbound.md", "source_line": 103, "file_index": 5, "category_num": "02", "category_slug": "engagement-outbound", "category_label": "Engagement & Outbound", "heading": "Groove (by Clari)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 170 }, { "id": "02-heyreach", "slug": "heyreach", "normalized_name": "heyreach", "name": "HeyReach", "vendor_url": "heyreach.io", "category": "engagement-outbound", "what_it_does": "Cloud-based LinkedIn outreach automation platform for agencies/sales teams running multi-account connection, messaging, and inbox campaigns from unlimited LinkedIn accounts.", "ai_features": "AI filters, message personalization, and message-optimization suggestions bundled in the paid plan — applied LLM copy generation/scoring layered on top of rule-based sequencing, not a novel capability.", "mcp_status": "official", "mcp_url": "https://www.heyreach.io/mcp ; setup docs at https://help.heyreach.io/en/articles/12117291-how-does-heyreach-mcp-work-with-popular-tools", "mcp_auth": "workspace-scoped \"MCP key\" + connection URL (API-key-style, not OAuth)", "api_gate": "paid", "revops_role": "LinkedIn multi-account outbound execution layer, downstream of list-building/enrichment tools and upstream of CRM via API/webhooks.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.heyreach.io/pricing, https://www.heyreach.io/mcp, https://help.heyreach.io/en/articles/12117291-how-does-heyreach-mcp-work-with-popular-tools, https://www.heyreach.io/blog/campaign-api", "notes": "No permanent free tier (14-day trial only); cheapest paid plan is Growth at $79/mo/sender, with API and MCP included. A third-party/unofficial MCP repo (github.com/bcharleson/heyreach-mcp) predates and duplicates the official one — don't conflate them. Like all LinkedIn automation tools, this operates against LinkedIn's User Agreement, which prohibits third-party bots/automation (linkedin.com/help/linkedin/answer/a1341387).", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://www.heyreach.io/mcp", "https://help.heyreach.io/en/articles/12117291-how-does-heyreach-mcp-work-with-popular-tools" ], "source_urls": [ "https://www.heyreach.io/pricing", "https://www.heyreach.io/mcp", "https://help.heyreach.io/en/articles/12117291-how-does-heyreach-mcp-work-with-popular-tools", "https://www.heyreach.io/blog/campaign-api" ], "source_annotations": [], "vendor_domain": "heyreach.io", "display_name": "HeyReach", "docs_url": null, "jobs": [ "send-linkedin-message", "draft-personalized-outreach" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "02-heyreach", "also_listed_in": [], "source_file": "02-engagement-outbound.md", "source_line": 350, "file_index": 18, "category_num": "02", "category_slug": "engagement-outbound", "category_label": "Engagement & Outbound", "heading": "HeyReach", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 66 }, { "id": "02-instantly", "slug": "instantly", "normalized_name": "instantly", "name": "Instantly", "vendor_url": "instantly.ai", "category": "engagement-outbound", "what_it_does": "Cold email sending platform providing mailbox infrastructure, warmup, deliverability management, sequencing, and lead sourcing.", "ai_features": "Vendor markets \"AI Sales Agent,\" \"AI Reply Agent,\" \"AI SDR Agent,\" and a \"Copilot / WARP Mode\" that finds leads, writes copy, and builds campaigns from a prompt — genuinely LLM-generated copy/campaign assembly. Email warmup, sender rotation, and sequencing logic are plain rules-based automation despite adjacent AI marketing.", "mcp_status": "official", "mcp_url": "https://mcp.instantly.ai/mcp ; community alternative at https://github.com/bcharleson/Instantly-MCP", "mcp_auth": "api key (generated in Instantly Settings > Integrations > API Keys)", "api_gate": "paid", "revops_role": "Outbound email sending, deliverability, and warmup infrastructure layer feeding sequencing data to CRM/enrichment tools upstream.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://instantly.ai/new-pages/pricing, https://instantly.ai/blog/instantly-mcp-server-connect-your-ai-assistant-directly-to-your-cold-email-platform/, https://github.com/bcharleson/Instantly-MCP, https://developer.instantly.ai/", "notes": "Full API+webhook access is gated to the Hypergrowth tier ($97/mo) and above, not the base Growth plan ($37/mo). A live 401 response at mcp.instantly.ai/mcp plus a third-party writeup confirm the official remote server, alongside an older, separate community implementation.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://mcp.instantly.ai/mcp", "https://github.com/bcharleson/Instantly-MCP" ], "source_urls": [ "https://instantly.ai/new-pages/pricing", "https://instantly.ai/blog/instantly-mcp-server-connect-your-ai-assistant-directly-to-your-cold-email-platform/", "https://github.com/bcharleson/Instantly-MCP", "https://developer.instantly.ai/" ], "source_annotations": [], "vendor_domain": "instantly.ai", "display_name": "Instantly", "docs_url": null, "jobs": [ "search-people-by-criteria", "run-email-sequence", "draft-personalized-outreach", "warm-up-inbox", "provision-sending-infrastructure" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/bcharleson/Instantly-MCP", "https://github.com/bcharleson/Instantly-MCP" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "02-instantly", "also_listed_in": [], "source_file": "02-engagement-outbound.md", "source_line": 122, "file_index": 6, "category_num": "02", "category_slug": "engagement-outbound", "category_label": "Engagement & Outbound", "heading": "Instantly", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 69 }, { "id": "02-kixie", "slug": "kixie", "normalized_name": "kixie", "name": "Kixie", "vendor_url": "kixie.com", "category": "engagement-outbound", "what_it_does": "Sales engagement / power-dialer platform (PowerCall) with multi-line parallel dialing, local-presence calling, and CRM-embedded calling/texting.", "ai_features": "Genuinely AI: \"AI Human Voice Detection\" that distinguishes a live person from a recording/voicemail to auto-connect reps, and \"Kixie AI Insights\" for reporting/analytics. Plain automation: the multi-line PowerDialer itself, ConnectionBoost local presence, and CRM activity logging.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "unknown", "revops_role": "Outbound/inbound calling and texting layer embedded directly into CRMs, competing more with dialer add-ons than full engagement suites.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.kixie.com/developer/custom-crm-integration/, https://www.kixie.com/features/kixie-powercall/, https://www.kixie.com/sales-blog/claude-dialer-integration-with-kixie-for-ai-powered-outreach/", "notes": "A Kixie blog post titled \"Claude Dialer Integration With Kixie for AI-Powered Outreach\" describes MCP only as a DIY architectural pattern a developer could build on top of Kixie's existing API-key REST endpoints — it is not a published MCP server. No real implementation found on GitHub, mcp.so, glama.ai, or pulsemcp.com. Kixie has a documented API with apikey-based webhooks, but no pricing tier for it was found.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.kixie.com/developer/custom-crm-integration/", "https://www.kixie.com/features/kixie-powercall/", "https://www.kixie.com/sales-blog/claude-dialer-integration-with-kixie-for-ai-powered-outreach/" ], "source_annotations": [], "vendor_domain": "kixie.com", "display_name": "Kixie", "docs_url": null, "jobs": [ "place-outbound-call", "read-outreach-performance", "write-crm-records" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "02-kixie", "also_listed_in": [], "source_file": "02-engagement-outbound.md", "source_line": 84, "file_index": 4, "category_num": "02", "category_slug": "engagement-outbound", "category_label": "Engagement & Outbound", "heading": "Kixie", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 254 }, { "id": "02-klenty", "slug": "klenty", "normalized_name": "klenty", "name": "Klenty", "vendor_url": "klenty.com", "category": "engagement-outbound", "what_it_does": "Sales engagement platform for multichannel outbound (email, cold calling, SMS) with CRM integrations (Salesforce, HubSpot, Pipedrive, Zoho, MS Dynamics).", "ai_features": "Wide vendor AI feature list: \"Agentic Cadences\" (AI-built custom cadences per account), \"Action AI,\" \"AI Account Research,\" \"AI Call Coaching,\" \"AI Adaptive Roleplays,\" and \"AI Voicemail Detection.\" Call transcription/coaching/voicemail-detection features are plausible genuine ML classification tasks; \"agentic\" framing elsewhere is vendor marketing language with no elaboration available in sourced pages.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "paid", "revops_role": "Multichannel outbound sequencing plus dialer/call-coaching layer, positioned toward larger sales-engagement stacks given its calling/CRM depth.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.klenty.com/pricing, https://www.klenty.com/", "notes": "API access (\"API Connections\") is included starting at the Starter tier ($50/mo), not gated to higher tiers. Has one of the broadest AI feature lists researched in this category but also one of the vaguest.", "mcp_status_bucket": "none-found", "api_gate_bucket": "paid", "mcp_urls": [], "source_urls": [ "https://www.klenty.com/pricing", "https://www.klenty.com/" ], "source_annotations": [], "vendor_domain": "klenty.com", "display_name": "Klenty", "docs_url": null, "jobs": [ "research-account-for-call-prep", "run-email-sequence", "draft-personalized-outreach", "place-outbound-call", "score-rep-performance", "run-sales-roleplay-practice" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "02-klenty", "also_listed_in": [ { "id": "04-klenty", "name": "Klenty", "category_num": "04", "category_slug": "ai-sdr-agents", "source_file": "04-ai-sdr-agents.md", "canonical": false } ], "source_file": "02-engagement-outbound.md", "source_line": 293, "file_index": 15, "category_num": "02", "category_slug": "engagement-outbound", "category_label": "Engagement & Outbound", "heading": "Klenty", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 199 }, { "id": "02-la-growth-machine", "slug": "la-growth-machine", "normalized_name": "la growth machine", "name": "La Growth Machine", "vendor_url": "lagrowthmachine.com", "category": "engagement-outbound", "what_it_does": "Multi-channel prospecting platform that sequences outreach across LinkedIn, email, Twitter/X, and voice notes/calls from one campaign builder, with built-in lead enrichment.", "ai_features": "\"Magic Messages\" (Pro/Ultimate plans) auto-generates message copy; \"AI Comment Automation\" posts contextual comments on a prospect's LinkedIn activity pre-connection; the Ultimate plan adds AI-personalized voice notes. Vendor-stated LLM-generation features, not independently verified.", "mcp_status": "official", "mcp_url": "https://github.com/LaGrowthMachine/gtm-system ; https://lagrowthmachine.com/mcp-server/", "mcp_auth": "OAuth — no API key needed; first use opens a browser sign-in directly to the user's La Growth Machine account.", "api_gate": "paid", "revops_role": "Multichannel (LinkedIn-centric) outbound execution + enrichment layer that can be driven conversationally via its own open-source MCP/Claude-skills bundle.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://lagrowthmachine.com/best-linkedin-automation-tools/, https://github.com/LaGrowthMachine/gtm-system, https://lagrowthmachine.com/mcp-server/", "notes": "API, Zapier, and CRM integrations are vendor-stated as available only on upper-tier plans (base plan starts ~$70/mo/identity, which reportedly excludes API). Notably the most \"agent-native\" tool in this category — ships an open-source repo bundling both Claude skills and an MCP server together, more mature agent tooling than most competitors here.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://github.com/LaGrowthMachine/gtm-system", "https://lagrowthmachine.com/mcp-server/" ], "source_urls": [ "https://lagrowthmachine.com/best-linkedin-automation-tools/", "https://github.com/LaGrowthMachine/gtm-system", "https://lagrowthmachine.com/mcp-server/" ], "source_annotations": [], "vendor_domain": "lagrowthmachine.com", "display_name": "La Growth Machine", "docs_url": null, "jobs": [ "run-email-sequence", "send-linkedin-message", "draft-personalized-outreach", "place-outbound-call" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/LaGrowthMachine/gtm-system", "https://github.com/LaGrowthMachine/gtm-system" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "02-la-growth-machine", "also_listed_in": [], "source_file": "02-engagement-outbound.md", "source_line": 388, "file_index": 20, "category_num": "02", "category_slug": "engagement-outbound", "category_label": "Engagement & Outbound", "heading": "La Growth Machine", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 71 }, { "id": "02-lemlist", "slug": "lemlist", "normalized_name": "lemlist", "name": "lemlist", "vendor_url": "lemlist.com", "category": "engagement-outbound", "what_it_does": "Multichannel sales engagement platform combining lead database/enrichment, email/LinkedIn/call/SMS sequencing, and a unified inbox.", "ai_features": "\"lemAgent\" and \"Intent Signal Agents\" research prospects, act on trigger events, and generate personalized copy — genuinely AI per vendor description. \"Data Enrichment Agents\" synthesize third-party data. Lead filtering, sequencing workflows, and email warmup (lemwarm) are plain automation, explicitly distinguished from the agent features by the vendor itself.", "mcp_status": "official", "mcp_url": "https://developer.lemlist.com/mcp/setup (endpoint https://app.lemlist.com/mcp)", "mcp_auth": "OAuth (browser-based PKCE flow, recommended) or API key via X-API-Key header", "api_gate": "paid", "revops_role": "Multichannel outbound sequencing and lead-enrichment layer, increasingly agent-augmented for personalization and trigger-based outreach.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://developer.lemlist.com/mcp/setup, https://www.lemlist.com/pricing, http://help.lemlist.com/en/articles/4452791-lemlist-plans-and-pricing-overview", "notes": "One of the more clearly first-party, well-documented MCP implementations in this category — dual OAuth/API-key auth, 40+ documented actions. \"Advanced API access\" is explicitly called out as an Enterprise-tier (\"Outreach Scale,\" 5+ seats, annual billing) feature; standard-tier API availability is not clearly documented, so treat access as paid/enterprise-leaning.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://developer.lemlist.com/mcp/setup", "https://app.lemlist.com/mcp" ], "source_urls": [ "https://developer.lemlist.com/mcp/setup", "https://www.lemlist.com/pricing", "http://help.lemlist.com/en/articles/4452791-lemlist-plans-and-pricing-overview" ], "source_annotations": [], "vendor_domain": "lemlist.com", "display_name": "lemlist", "docs_url": null, "jobs": [ "search-people-by-criteria", "fetch-buyer-intent-signals", "run-email-sequence", "send-linkedin-message", "draft-personalized-outreach", "place-outbound-call", "warm-up-inbox" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "02-lemlist", "also_listed_in": [], "source_file": "02-engagement-outbound.md", "source_line": 160, "file_index": 8, "category_num": "02", "category_slug": "engagement-outbound", "category_label": "Engagement & Outbound", "heading": "lemlist", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 73 }, { "id": "02-mailshake", "slug": "mailshake", "normalized_name": "mailshake", "name": "Mailshake", "vendor_url": "mailshake.com", "category": "engagement-outbound", "what_it_does": "Sales engagement platform for automated email outreach campaigns with CRM integration and lead management.", "ai_features": "\"AI Email Writer\" auto-generates draft copy — genuinely AI/LLM-based per vendor. An \"AI Sales Coach\" is referenced in feature lists but not detailed on sourced pages. No AI-agent/autonomous-SDR claims found, unlike most competitors here.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "unknown", "revops_role": "Outbound email sequencing layer with light AI copy-drafting assistance; more modest AI positioning than most peers.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "http://mailshake.com/pricing/, http://mailshake.com/", "notes": "Site serves over plain HTTP with a redirect, a minor hygiene flag for a company selling email infrastructure. No API tier information was found on sourced pricing pages.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "http://mailshake.com/pricing/", "http://mailshake.com/" ], "source_annotations": [], "vendor_domain": "mailshake.com", "display_name": "Mailshake", "docs_url": null, "jobs": [ "run-email-sequence", "draft-personalized-outreach" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "02-mailshake", "also_listed_in": [], "source_file": "02-engagement-outbound.md", "source_line": 255, "file_index": 13, "category_num": "02", "category_slug": "engagement-outbound", "category_label": "Engagement & Outbound", "heading": "Mailshake", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 263 }, { "id": "02-mixmax", "slug": "mixmax", "normalized_name": "mixmax", "name": "Mixmax", "vendor_url": "mixmax.com", "category": "engagement-outbound", "what_it_does": "Gmail-native sales engagement layer that runs email sequences, tracking, calendaring and meeting notes from inside the inbox.", "ai_features": "\"Meeting Copilot\" records and summarises calls into topics and action items; AI sequence and email drafting plus reply assistance. The sequencing, tracking and scheduling engine itself is automation, not AI.", "mcp_status": "official", "mcp_url": "https://mcp.mixmax.com/mcp (docs: https://success.mixmax.com/en/articles/14298142-mixmax-mcp-server; vendor guide: https://www.mixmax.com/mcp-server-guide)", "mcp_auth": "OAuth 2.0 authorization code flow, scoped to the connecting user's account. Read-only.", "api_gate": "paid. Two separate gates, and the split is the useful fact. The MCP server is free to every Mixmax customer including the $0 Free plan per the vendor help doc, but meeting data requires the Meeting Copilot product ($29/user/mo annual, $34 monthly). The REST API is a higher gate: Mixmax's own pricing page includes \"Mixmax API\" only on Engagement Copilot ($49/mo annual), Mixmax Suite ($89/mo annual) and Mixmax for Teams. A third-party review states API is restricted to annual Growth+/Enterprise plans, which does not match the current published plan names, so trust the pricing page.", "revops_role": "Inbox-side sequencing and meeting-scheduling layer for AE and CS teams that live in Gmail rather than in a full Outreach or Salesloft deployment.", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://success.mixmax.com/en/articles/14298142-mixmax-mcp-server, https://www.mixmax.com/mcp-server-guide, https://www.mixmax.com/pricing, https://developer.mixmax.com/, https://success.mixmax.com/en/articles/11643056-mixmax-rest-api", "notes": "Added 2026-08-25 in the coverage sweep, closing a real structural gap: this file previously had no Gmail-native incumbent at all despite covering the full pure-play sequencer market. NOTABLE LIMIT: all MCP tools are read-only today. The vendor doc explicitly states action capabilities (sequence enrollment, sending, template management) are \"on the roadmap\" and not shipped, so an agent can report on sequences but cannot run them. Two tool groups exist: Meetings (calendar search, AI summaries, assistant settings) and Sequences (list sequences, stage detail, open/click/reply/bounce rates, enrollment checks, daily send volume, validation). The MCP-free-but-API-paid split is unusual enough to be worth a segment on its own: the agent door is cheaper than the developer door.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://mcp.mixmax.com/mcp", "https://success.mixmax.com/en/articles/14298142-mixmax-mcp-server", "https://www.mixmax.com/mcp-server-guide" ], "source_urls": [ "https://success.mixmax.com/en/articles/14298142-mixmax-mcp-server", "https://www.mixmax.com/mcp-server-guide", "https://www.mixmax.com/pricing", "https://developer.mixmax.com/", "https://success.mixmax.com/en/articles/11643056-mixmax-rest-api" ], "source_annotations": [], "vendor_domain": "mixmax.com", "display_name": "Mixmax", "docs_url": "https://developer.mixmax.com/reference/getting-started-with-the-api", "jobs": [ "run-email-sequence", "draft-personalized-outreach", "read-outreach-performance", "summarize-meeting", "book-a-meeting" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "02-mixmax", "also_listed_in": [], "source_file": "02-engagement-outbound.md", "source_line": 483, "file_index": 25, "category_num": "02", "category_slug": "engagement-outbound", "category_label": "Engagement & Outbound", "heading": "Mixmax", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 78 }, { "id": "02-nooks", "slug": "nooks", "normalized_name": "nooks", "name": "Nooks", "vendor_url": "nooks.ai", "category": "engagement-outbound", "what_it_does": "AI parallel dialer and \"virtual salesfloor\" combining multi-line dialing, live manager coaching, and prospecting assistance for SDR teams.", "ai_features": "Genuinely AI: sub-0.5-second pickup detection that filters voicemail/dead air across up to 5 parallel lines, AI call summaries/dispositions, AI roleplay-coaching bots trained on real call recordings, and \"AI Prospector\" for buying-signal detection and email drafting. Plain automation: the multi-line dialing mechanism itself, waterfall phone-number enrichment, and local-presence number rotation. Live \"whisper coaching\" is a human-manager feature, not AI.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "unknown", "revops_role": "Outbound calling execution and coaching layer, typically integrated with Salesforce/HubSpot and enrichment providers.", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://www.nooks.ai/ai-dialer, https://www.nooks.ai/ai-sequencing, https://www.nooks.ai/pricing, https://developer.nooks.in/, https://github.com/NooksApp, https://pipeline.zoominfo.com/sales/nooks-ai-zoominfo-gtm-ai-integration", "notes": "No MCP server found on GitHub, mcp.so, glama.ai, or pulsemcp.com (pulsemcp returned zero results). A developer.nooks.in portal with OAuth2/API keys exists, but the pricing page only offers custom quotes with no disclosed API tier; the custom-quote sales motion suggests enterprise-leaning access, but that is inference, not a confirmed fact. RE-CHECKED 2026-08-25 on a specific pointer that Nooks had shipped something in the MCP/agent space. What was found is not a Nooks MCP server: it is Nooks positioning itself as an \"Agent Workspace for Intelligent Outbound\" (AI Dialing Assistant, AI Coaching Assistant, AI Prospector, AI Sequencing) and a native bidirectional integration with ZoomInfo's GTM.AI context layer, where mutual customers connect a ZoomInfo entitlement to Nooks through a native connector and Nooks engagement signals flow back through a Custom Data Connector inside ZoomInfo's GTM Studio. ZoomInfo's own write-up does not state whether Nooks consumes GTM.AI over MCP or over REST, and does not claim Nooks exposes an MCP server of its own. So Nooks is an MCP *consumer* story at best, not an MCP provider; mcp_status stays none-found. If Nooks ships a first-party server this is the entry to update.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.nooks.ai/ai-dialer", "https://www.nooks.ai/ai-sequencing", "https://www.nooks.ai/pricing", "https://developer.nooks.in/", "https://github.com/NooksApp", "https://pipeline.zoominfo.com/sales/nooks-ai-zoominfo-gtm-ai-integration" ], "source_annotations": [], "vendor_domain": "nooks.ai", "display_name": "Nooks", "docs_url": "https://developer.nooks.in/", "jobs": [ "find-phone-number", "fetch-buyer-intent-signals", "draft-personalized-outreach", "place-outbound-call", "summarize-meeting", "score-rep-performance", "run-sales-roleplay-practice" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/NooksApp" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "02-nooks", "also_listed_in": [], "source_file": "02-engagement-outbound.md", "source_line": 45, "file_index": 2, "category_num": "02", "category_slug": "engagement-outbound", "category_label": "Engagement & Outbound", "heading": "Nooks", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 266 }, { "id": "02-orum", "slug": "orum", "normalized_name": "orum", "name": "Orum", "vendor_url": "orum.com", "category": "engagement-outbound", "what_it_does": "AI-powered parallel dialer (\"Calling Performance System\") that dials up to 10 numbers simultaneously and bridges reps only to live human answers.", "ai_features": "Genuinely AI: real-time human-vs-machine detection during connection across 20+ languages/dialects, driving the auto-hang-up/voicemail-drop decision, plus an \"AI coaching suite\" for connect-rate analysis. Plain automation: the parallel-dial mechanism and local-presence number rotation.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "unknown", "revops_role": "Outbound calling/connect-rate layer, typically bolted onto Salesforce/HubSpot/Salesloft/Apollo as the dialing component of a broader stack.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.orum.com/, https://www.orum.com/product-updates/hello-world-orum-goes-global-with-ai-dialing, https://apitracker.io/a/orumhq", "notes": "Do not confuse with orum.io, an unrelated fintech payments company (acquired by Stripe) that does have a documented API and MCP server — that belongs to a different company entirely. No MCP found for the sales dialer at orum.com on GitHub, mcp.so, glama.ai, or pulsemcp.com.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.orum.com/", "https://www.orum.com/product-updates/hello-world-orum-goes-global-with-ai-dialing", "https://apitracker.io/a/orumhq" ], "source_annotations": [], "vendor_domain": "orum.com", "display_name": "Orum", "docs_url": null, "jobs": [ "place-outbound-call", "score-rep-performance" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "02-orum", "also_listed_in": [], "source_file": "02-engagement-outbound.md", "source_line": 65, "file_index": 3, "category_num": "02", "category_slug": "engagement-outbound", "category_label": "Engagement & Outbound", "heading": "Orum", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 268 }, { "id": "02-outplay", "slug": "outplay", "normalized_name": "outplay", "name": "Outplay", "vendor_url": "outplay.ai (formerly outplayhq.com, now 301-redirected)", "category": "engagement-outbound", "what_it_does": "Multi-channel sales engagement platform (email, phone, social, SMS) with an AI SDR product layered on top.", "ai_features": "Vendor advertises AI Mail Writer, AI Sequence Writer, AI Objection Handling, AI detection of out-of-office replies, an \"AI SDR\" autonomous-prospecting agent, and Conversation Intelligence. Transcription-based features (Conversation Intelligence, OOO detection) are plausible genuine AI/ML use; \"AI SDR\" autonomy level is vendor-stated and unverified.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "unknown", "revops_role": "Multichannel outbound sequencing with dialer and AI SDR add-on, competing directly with Klenty and Reply.io.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://outplay.ai/pricing/, https://outplay.ai/", "notes": "A Free Forever ($0) tier exists alongside Starter/Growth/Enterprise, but which tier includes API access was not confirmed from sourced pages.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://outplay.ai/pricing/", "https://outplay.ai/" ], "source_annotations": [], "vendor_domain": "outplay.ai", "display_name": "Outplay", "docs_url": null, "jobs": [ "run-email-sequence", "send-linkedin-message", "draft-personalized-outreach", "place-outbound-call", "run-autonomous-sdr-agent", "extract-deal-signals-from-calls" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "02-outplay", "also_listed_in": [], "source_file": "02-engagement-outbound.md", "source_line": 312, "file_index": 16, "category_num": "02", "category_slug": "engagement-outbound", "category_label": "Engagement & Outbound", "heading": "Outplay", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 269 }, { "id": "02-outreach", "slug": "outreach", "normalized_name": "outreach", "name": "Outreach", "vendor_url": "outreach.io (site is mid-transition to outreach.ai)", "category": "engagement-outbound", "what_it_does": "Sales engagement platform for building, running, and tracking multichannel outbound sequences (email, call, social) and rep activity, tied into a CRM.", "ai_features": "Vendor markets \"AI Agents\" that act across the customer lifecycle, AI-assisted forecasting/pipeline projection, and real-time conversation intelligence (AI battle cards, objection handling, action-item detection during calls). None of the underlying model mechanics are disclosed publicly — these are vendor-stated capabilities, not independently verified.", "mcp_status": "official", "mcp_url": "https://api.outreach.io/mcp/ ; overview at https://support.outreach.io/support/solutions/articles/159000425158-outreach-mcp-server-overview", "mcp_auth": "OAuth 2.1 with Dynamic Client Registration; also requires the org-level \"Amplify\" add-on to be enabled and admin-toggled — not available to every customer by default.", "api_gate": "unknown", "revops_role": "Core outbound execution layer between prospecting/data tools and CRM — cadence orchestration, call/email logging, activity data feeding forecasting.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://support.outreach.io/support/solutions/articles/159000425158-outreach-mcp-server-overview, https://support.outreach.io/support/solutions/articles/159000426361-where-are-the-outreach-development-portal-and-api-documentation-, https://developers.outreach.io/, https://www.outreach.ai/product", "notes": "The official MCP server is gated behind the paid \"Amplify\" add-on plus admin enablement, not a free-for-all connector. Base API access requires requesting developer-portal access; no public self-serve pricing found, so api_gate is left unknown rather than assumed. Community/read-only alternatives also exist (github.com/ZLeventer/outreach-mcp-server, github.com/CDataSoftware/outreach.io-mcp-server-by-cdata).", "mcp_status_bucket": "official", "api_gate_bucket": "unknown", "mcp_urls": [ "https://api.outreach.io/mcp/", "https://support.outreach.io/support/solutions/articles/159000425158-outreach-mcp-server-overview" ], "source_urls": [ "https://support.outreach.io/support/solutions/articles/159000425158-outreach-mcp-server-overview", "https://support.outreach.io/support/solutions/articles/159000426361-where-are-the-outreach-development-portal-and-api-documentation-", "https://developers.outreach.io/", "https://www.outreach.ai/product" ], "source_annotations": [], "vendor_domain": "outreach.io", "display_name": "Outreach", "docs_url": null, "jobs": [ "run-email-sequence", "send-linkedin-message", "draft-personalized-outreach", "place-outbound-call", "read-outreach-performance", "extract-deal-signals-from-calls", "write-crm-records", "read-pipeline-forecast" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "02-outreach", "also_listed_in": [], "source_file": "02-engagement-outbound.md", "source_line": 7, "file_index": 0, "category_num": "02", "category_slug": "engagement-outbound", "category_label": "Engagement & Outbound", "heading": "Outreach", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 136 }, { "id": "02-overloop", "slug": "overloop", "normalized_name": "overloop", "name": "Overloop", "vendor_url": "overloop.com", "category": "engagement-outbound", "what_it_does": "Sales engagement and lead-gen platform for finding, verifying, and contacting B2B prospects via automated email and LinkedIn campaigns.", "ai_features": "Vendor claims an \"AI engine\" that builds multichannel campaigns, analyzes a prospect's website/social profiles to write \"ultra-personalized\" cold emails, drafts contextual follow-ups from thread history, and personalizes LinkedIn connection requests — plausible LLM-based personalization per vendor description, not independently verified.", "mcp_status": "community", "mcp_url": "https://github.com/sortlist/overloop-mcp", "mcp_auth": "api key via OVERLOOP_API_KEY environment variable", "api_gate": "paid", "revops_role": "Multichannel outbound sequencing/lead-gen layer, now organizationally tied to Sortlist (a B2B agency-matching marketplace).", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://overloop.com/pricing, https://overloop.com/, https://github.com/sortlist/overloop-mcp", "notes": "Formerly Prospect.io. REST API is available at the Growth tier ($99/user/mo) and above, not Starter ($69/user/mo). The only known MCP server lives under github.com/sortlist (not Overloop's own org) and carries a beta notice — consistent with signs the product now operates under Sortlist; flagged as a business-continuity consideration, not a confirmed shutdown.", "mcp_status_bucket": "community", "api_gate_bucket": "paid", "mcp_urls": [ "https://github.com/sortlist/overloop-mcp" ], "source_urls": [ "https://overloop.com/pricing", "https://overloop.com/", "https://github.com/sortlist/overloop-mcp" ], "source_annotations": [], "vendor_domain": "overloop.com", "display_name": "Overloop", "docs_url": null, "jobs": [ "find-work-email", "verify-email-deliverable", "run-email-sequence", "send-linkedin-message", "draft-personalized-outreach" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/sortlist/overloop-mcp", "https://github.com/sortlist/overloop-mcp" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "02-overloop", "also_listed_in": [], "source_file": "02-engagement-outbound.md", "source_line": 331, "file_index": 17, "category_num": "02", "category_slug": "engagement-outbound", "category_label": "Engagement & Outbound", "heading": "Overloop", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 149 }, { "id": "02-phantombuster", "slug": "phantombuster", "normalized_name": "phantombuster", "name": "PhantomBuster", "vendor_url": "phantombuster.com", "category": "engagement-outbound", "what_it_does": "General browser-automation/data-extraction platform (\"Phantoms\") that runs cloud scripts to scrape and act on LinkedIn and other web platforms — widely used as a LinkedIn outbound backbone rather than a purpose-built sequencer.", "ai_features": "Vendor-stated AI add-ons: an \"AI LinkedIn Message Writer\" (GPT-based drafting), an \"AI LinkedIn Profile Enricher\" (structures scraped data), and an \"AI LinkedIn Post Responder\" (comment suggestions) — metered AI-credit features layered on a core scraping/automation engine that is itself not AI.", "mcp_status": "official", "mcp_url": "https://hub.phantombuster.com/docs/mcp-server (hosted at mcp.phantombuster.com); community alternative at https://github.com/globodai-group/mcp-phantombuster", "mcp_auth": "OAuth — first connection redirects to PhantomBuster sign-in/authorization, then workspace selection.", "api_gate": "paid", "revops_role": "Data-extraction/scraping and light-automation backbone many other engagement tools (and Clay) sit on top of; general-purpose rather than LinkedIn-native.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://hub.phantombuster.com/docs/mcp-server, https://lagrowthmachine.com/phantombuster-pricing/, https://github.com/globodai-group/mcp-phantombuster", "notes": "Documented REST API available starting on the entry paid plan (~$56/mo Starter, 20 execution hours/mo); no enterprise-only gate found. Because it operates via scraping/headless browser automation, it sits squarely inside activity LinkedIn's User Agreement prohibits.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://hub.phantombuster.com/docs/mcp-server", "https://github.com/globodai-group/mcp-phantombuster" ], "source_urls": [ "https://hub.phantombuster.com/docs/mcp-server", "https://lagrowthmachine.com/phantombuster-pricing/", "https://github.com/globodai-group/mcp-phantombuster" ], "source_annotations": [], "vendor_domain": "phantombuster.com", "display_name": "PhantomBuster", "docs_url": null, "jobs": [ "enrich-person-from-linkedin-url", "scrape-web-page-for-facts", "send-linkedin-message", "draft-personalized-outreach" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/globodai-group/mcp-phantombuster", "https://github.com/globodai-group/mcp-phantombuster" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "02-phantombuster", "also_listed_in": [], "source_file": "02-engagement-outbound.md", "source_line": 407, "file_index": 21, "category_num": "02", "category_slug": "engagement-outbound", "category_label": "Engagement & Outbound", "heading": "PhantomBuster", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 82 }, { "id": "02-quickmail", "slug": "quickmail", "normalized_name": "quickmail", "name": "QuickMail", "vendor_url": "quickmail.com (redirected from quickmail.io)", "category": "engagement-outbound", "what_it_does": "Cold email and LinkedIn outreach automation tool sent from users' own mailboxes, with inbox rotation and reply management.", "ai_features": "none-found — vendor's marketing pages emphasize deliverability/\"Inbox Rotation\" automation and do not advertise any AI-branded features.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "paid", "revops_role": "Outbound email sequencing/deliverability layer, positioned as a lower-AI-hype, deliverability-first alternative in this category.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://quickmail.com/pricing, https://quickmail.com/", "notes": "API access starts at the Growth plan ($99/mo), not included on Starter ($49/mo). Notably the only tool in this sweep with zero AI-branded marketing at all — an \"automation, not AI\" outlier in a category saturated with AI-agent claims.", "mcp_status_bucket": "none-found", "api_gate_bucket": "paid", "mcp_urls": [], "source_urls": [ "https://quickmail.com/pricing", "https://quickmail.com/" ], "source_annotations": [], "vendor_domain": "quickmail.com", "display_name": "QuickMail", "docs_url": null, "jobs": [ "run-email-sequence", "send-linkedin-message" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "02-quickmail", "also_listed_in": [], "source_file": "02-engagement-outbound.md", "source_line": 217, "file_index": 11, "category_num": "02", "category_slug": "engagement-outbound", "category_label": "Engagement & Outbound", "heading": "QuickMail", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 206 }, { "id": "02-reply-io", "slug": "reply-io", "normalized_name": "reply io", "name": "Reply.io", "vendor_url": "reply.io", "category": "engagement-outbound", "what_it_does": "Multichannel sales engagement platform for email, LinkedIn, call, and SMS outreach with an AI SDR product layered on top.", "ai_features": "\"Jason,\" Reply.io's AI SDR agent, claims to autonomously find prospects, send personalized messages, and manage responses — vendor-stated, genuinely LLM-driven per description but not independently verified. AI-generated icebreakers, first-step emails, and reply categorization are also vendor-claimed AI. Core sequencing/warmup/analytics are plain automation.", "mcp_status": "official", "mcp_url": "https://reply.io/mcp/", "mcp_auth": "api key (personal API key over HTTPS, included in free trial)", "api_gate": "paid", "revops_role": "Multichannel outbound sequencing layer with an AI SDR agent tier positioned as a semi-autonomous prospecting add-on.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://reply.io/mcp/, https://reply.io/", "notes": "Vendor states API/webhook access is included across all pricing tiers starting at Standard ($59/mo); some MCP operations consume metered API credits. Site returned HTTP 403 to direct fetch and was retrieved via a read-only proxy — treat pricing figures as slightly less certain than directly-fetched pages.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://reply.io/mcp/" ], "source_urls": [ "https://reply.io/mcp/", "https://reply.io/" ], "source_annotations": [], "vendor_domain": "reply.io", "display_name": "Reply.io", "docs_url": null, "jobs": [ "run-email-sequence", "send-linkedin-message", "draft-personalized-outreach", "place-outbound-call", "run-autonomous-sdr-agent", "warm-up-inbox" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "02-reply-io", "also_listed_in": [ { "id": "04-reply-io", "name": "Reply.io (Jason AI)", "category_num": "04", "category_slug": "ai-sdr-agents", "source_file": "04-ai-sdr-agents.md", "canonical": false } ], "source_file": "02-engagement-outbound.md", "source_line": 179, "file_index": 9, "category_num": "02", "category_slug": "engagement-outbound", "category_label": "Engagement & Outbound", "heading": "Reply.io", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 85 }, { "id": "02-salesforge", "slug": "salesforge", "normalized_name": "salesforge", "name": "Salesforge", "vendor_url": "salesforge.ai", "category": "engagement-outbound", "what_it_does": "Multi-channel cold outreach platform (email + LinkedIn) with an AI SDR product (\"Agent Frank\") layered on top of standard sequencing.", "ai_features": "Agent Frank generates dynamically-written emails per selected tone (Playful, Formal, Curious, Urgent, etc.) — genuinely LLM-based copy generation, not static templates, per vendor description. Vendor claims Frank is \"trained on proprietary data lake\" and \"modeled after top 1% reps\" — unverifiable marketing language, flagged as vendor-stated only. Core sequencing/reply capture is plain automation with AI analysis layered on top.", "mcp_status": "official", "mcp_url": "https://github.com/SalesforgeAI/forge-mcp", "mcp_auth": "api key via HTTP header (X-Salesforge-Key)", "api_gate": "paid", "revops_role": "Multichannel outbound sequencing with an AI SDR agent as an optional higher tier for more autonomous prospecting.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.salesforge.ai/, https://www.salesforge.ai/pricing, https://github.com/SalesforgeAI/forge-mcp", "notes": "Both API and MCP access are restricted to the Growth plan ($80/mo) and up, not the base Pro plan ($40/mo); not enterprise-only. A standalone Agent Frank plan runs $499/mo. The \"top 1% sales rep\" / proprietary-data-lake claims are unverified marketing and should not be repeated as fact.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://github.com/SalesforgeAI/forge-mcp" ], "source_urls": [ "https://www.salesforge.ai/", "https://www.salesforge.ai/pricing", "https://github.com/SalesforgeAI/forge-mcp" ], "source_annotations": [], "vendor_domain": "salesforge.ai", "display_name": "Salesforge", "docs_url": null, "jobs": [ "run-email-sequence", "send-linkedin-message", "draft-personalized-outreach", "run-autonomous-sdr-agent" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/SalesforgeAI/forge-mcp", "https://github.com/SalesforgeAI/forge-mcp" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "02-salesforge", "also_listed_in": [ { "id": "04-salesforge", "name": "Salesforge (Agent Frank)", "category_num": "04", "category_slug": "ai-sdr-agents", "source_file": "04-ai-sdr-agents.md", "canonical": false } ], "source_file": "02-engagement-outbound.md", "source_line": 236, "file_index": 12, "category_num": "02", "category_slug": "engagement-outbound", "category_label": "Engagement & Outbound", "heading": "Salesforge", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 88 }, { "id": "02-salesloft", "slug": "salesloft", "normalized_name": "salesloft", "name": "Salesloft", "vendor_url": "salesloft.com", "category": "engagement-outbound", "what_it_does": "Sales engagement platform (merged with Clari in Dec 2025) for multichannel outbound cadences, call/email execution, and rep activity tracking that feeds forecasting.", "ai_features": "Vendor-named features include \"Conductor AI\" (analyzes buyer signals, automates next-best actions), \"Rhythm with AI Prioritization,\" \"Deal Intelligence,\" conversation intelligence on calls, \"AI Email Agents,\" and \"AI Forecast.\" No breakdown of which are genuinely model-driven vs. rules-based automation is published — treat as vendor-stated.", "mcp_status": "official", "mcp_url": "https://www.salesloft.com/company/newsroom/clari-salesloft-forecasting-execution-mcp-server ; https://www.salesloft.com/company/newsroom/salesloft-mcp-server-revenue-data-ai-ecosystem", "mcp_auth": "unknown exact flow — vendor press material describes it as natively listed in Claude's connector directory \"with no custom setup required,\" implying a managed OAuth connector, but the precise auth mechanics were not documented in sourced pages.", "api_gate": "unknown", "revops_role": "Core outbound execution and, post-Clari-merger, forecasting layer — increasingly positioned as \"the context layer AI agents pull live revenue data from.\"", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://developers.salesloft.com/, https://www.salesloft.com/company/newsroom/salesloft-mcp-server-revenue-data-ai-ecosystem, https://www.salesloft.com/company/newsroom/clari-salesloft-forecasting-execution-mcp-server, https://champions.salesloft.com/product-updates/august-2026-release-notes-605, https://www.vendr.com/marketplace/salesloft", "notes": "One of the most aggressive MCP rollouts researched in this category — initial launch April 2026, expanded July 2026 after the Clari-Salesloft merger, ChatGPT custom connector added August 2026. Vendr lists list pricing around $125-165/user/month, implying API/MCP access rides on a paid seat rather than being free-standing.", "mcp_status_bucket": "official", "api_gate_bucket": "unknown", "mcp_urls": [ "https://www.salesloft.com/company/newsroom/clari-salesloft-forecasting-execution-mcp-server", "https://www.salesloft.com/company/newsroom/salesloft-mcp-server-revenue-data-ai-ecosystem" ], "source_urls": [ "https://developers.salesloft.com/", "https://www.salesloft.com/company/newsroom/salesloft-mcp-server-revenue-data-ai-ecosystem", "https://www.salesloft.com/company/newsroom/clari-salesloft-forecasting-execution-mcp-server", "https://champions.salesloft.com/product-updates/august-2026-release-notes-605", "https://www.vendr.com/marketplace/salesloft" ], "source_annotations": [], "vendor_domain": "salesloft.com", "display_name": "Salesloft", "docs_url": null, "jobs": [ "run-email-sequence", "draft-personalized-outreach", "place-outbound-call", "extract-deal-signals-from-calls", "write-crm-records", "read-pipeline-forecast", "score-and-prioritize-leads" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "02-salesloft", "also_listed_in": [], "source_file": "02-engagement-outbound.md", "source_line": 26, "file_index": 1, "category_num": "02", "category_slug": "engagement-outbound", "category_label": "Engagement & Outbound", "heading": "Salesloft", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 140 }, { "id": "02-smartlead", "slug": "smartlead", "normalized_name": "smartlead", "name": "Smartlead", "vendor_url": "smartlead.ai", "category": "engagement-outbound", "what_it_does": "Cold email outreach platform for managing campaigns across many mailboxes, with built-in deliverability infrastructure and a unified reply inbox.", "ai_features": "\"SmartAgents\"/\"SmartAI Bot\" claim to research leads and draft persona-specific copy via generative AI — genuinely LLM-based per vendor description. \"AI-powered\" warmup is mostly scripted open/read/reply simulation, borderline as \"AI.\" Sender rotation, DNS setup, and verification are plain automation.", "mcp_status": "community", "mcp_url": "https://github.com/LeadMagic/smartlead-mcp-server (also multiple other community implementations); listed at https://www.pulsemcp.com/servers/leadmagic-smartlead", "mcp_auth": "api key", "api_gate": "paid", "revops_role": "Outbound email sequencing/deliverability layer with agent-style lead research and reply-triage add-ons.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.smartlead.ai/pricing, https://github.com/LeadMagic/smartlead-mcp-server, https://www.pulsemcp.com/servers/leadmagic-smartlead", "notes": "API/webhooks/CRM integration require the Pro plan ($94/mo) or higher, not the base Base plan ($39/mo). No official first-party MCP found — several overlapping community implementations exist with varying maintenance; verify before adopting.", "mcp_status_bucket": "community", "api_gate_bucket": "paid", "mcp_urls": [ "https://github.com/LeadMagic/smartlead-mcp-server", "https://www.pulsemcp.com/servers/leadmagic-smartlead" ], "source_urls": [ "https://www.smartlead.ai/pricing", "https://github.com/LeadMagic/smartlead-mcp-server", "https://www.pulsemcp.com/servers/leadmagic-smartlead" ], "source_annotations": [], "vendor_domain": "smartlead.ai", "display_name": "Smartlead", "docs_url": null, "jobs": [ "verify-email-deliverable", "run-email-sequence", "draft-personalized-outreach", "warm-up-inbox", "provision-sending-infrastructure" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/LeadMagic/smartlead-mcp-server", "https://github.com/LeadMagic/smartlead-mcp-server" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "02-smartlead", "also_listed_in": [], "source_file": "02-engagement-outbound.md", "source_line": 141, "file_index": 7, "category_num": "02", "category_slug": "engagement-outbound", "category_label": "Engagement & Outbound", "heading": "Smartlead", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 152 }, { "id": "02-super-send", "slug": "super-send", "normalized_name": "super send", "name": "Super Send", "vendor_url": "supersend.io", "category": "engagement-outbound", "what_it_does": "Cold email sequencing platform providing dedicated, warmed sending infrastructure with adaptive pacing based on live deliverability signals.", "ai_features": "\"AI Bounce Analysis\" categorizes send failures (bad address, server block, temporary failure) — genuinely ML-classification per vendor. \"AI-categorized\" inbox auto-sorts replies across many senders. Adaptive pacing/placement testing is described as signal-driven automation, not explicitly AI.", "mcp_status": "official", "mcp_url": "https://docs.supersend.io/docs/mcp-server (endpoint mcp.supersend.io)", "mcp_auth": "api key, Streamable HTTP transport", "api_gate": "paid", "revops_role": "Dedicated sending-infrastructure layer for outbound email, positioned as an infrastructure/deliverability specialist rather than a full sequencing+CRM platform.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.pulsemcp.com/servers/supersend, https://supersend.io", "notes": "Vendor's own MCP docs state the MCP server is a paid service with no free tier. Smaller/lesser-known player than most others in this sweep, but has a real vendor-hosted, documented MCP server — more than several larger competitors (Klenty, Outplay, Mailshake, QuickMail) have.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://docs.supersend.io/docs/mcp-server" ], "source_urls": [ "https://www.pulsemcp.com/servers/supersend", "https://supersend.io" ], "source_annotations": [], "vendor_domain": "supersend.io", "display_name": "Super Send", "docs_url": null, "jobs": [ "run-email-sequence", "warm-up-inbox", "provision-sending-infrastructure", "check-inbox-placement" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "02-super-send", "also_listed_in": [], "source_file": "02-engagement-outbound.md", "source_line": 274, "file_index": 14, "category_num": "02", "category_slug": "engagement-outbound", "category_label": "Engagement & Outbound", "heading": "Super Send", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 94 }, { "id": "02-waalaxy", "slug": "waalaxy", "normalized_name": "waalaxy", "name": "Waalaxy", "vendor_url": "waalaxy.com", "category": "engagement-outbound", "what_it_does": "Chrome-extension-based LinkedIn (+ email) prospecting tool that automates invitations, messages, and multi-step campaigns, with a built-in prospect finder.", "ai_features": "\"AI Prospect Finder\" finds ideal-client prospects without manual search building, and GPT-powered \"AI message writing\" drafts/optimizes outreach copy — both vendor-described LLM-generation features, not independently verified.", "mcp_status": "official", "mcp_url": "https://docs.waalaxy.com/mcp-server ; community/workaround alternative at https://github.com/globodai-group/mcp-server-waalaxy", "mcp_auth": "user-based OAuth 2.1 via magic-link sign-in; vendor docs explicitly state bearer API keys are NOT supported by the MCP server (differs from the separate REST API).", "api_gate": "paid", "revops_role": "Entry-to-mid-tier LinkedIn+email outbound tool used mostly by individual operators/small teams; MCP access is plan-gated above the entry tier.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://docs.waalaxy.com/mcp-server, https://coldiq.com/tools/waalaxy, https://github.com/globodai-group/mcp-server-waalaxy", "notes": "MCP server access is restricted to the Advanced and Business plans, not the entry Pro plan. A third party built a Playwright-based unofficial MCP that logs into the Waalaxy web UI instead, specifically to work around that plan gate — a useful illustration of how a plan-gated official MCP spawns scraping-based workarounds. As a browser-extension tool automating invites/messages, it falls under LinkedIn's prohibited \"bots/browser plugins\" language.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://docs.waalaxy.com/mcp-server", "https://github.com/globodai-group/mcp-server-waalaxy" ], "source_urls": [ "https://docs.waalaxy.com/mcp-server", "https://coldiq.com/tools/waalaxy", "https://github.com/globodai-group/mcp-server-waalaxy" ], "source_annotations": [], "vendor_domain": "waalaxy.com", "display_name": "Waalaxy", "docs_url": null, "jobs": [ "search-people-by-criteria", "run-email-sequence", "send-linkedin-message", "draft-personalized-outreach" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/globodai-group/mcp-server-waalaxy", "https://github.com/globodai-group/mcp-server-waalaxy" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "02-waalaxy", "also_listed_in": [], "source_file": "02-engagement-outbound.md", "source_line": 426, "file_index": 22, "category_num": "02", "category_slug": "engagement-outbound", "category_label": "Engagement & Outbound", "heading": "Waalaxy", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 100 }, { "id": "02-woodpecker", "slug": "woodpecker", "normalized_name": "woodpecker", "name": "Woodpecker", "vendor_url": "woodpecker.co", "category": "engagement-outbound", "what_it_does": "Cold email and LinkedIn outreach automation tool with inbox rotation, adaptive sending, and centralized reply management.", "ai_features": "Vendor advertises an AI email writer (copy drafting) and AI interest-level detection that auto-sorts replies by engagement — both genuinely AI/LLM-adjacent but modest in scope versus competitors' \"AI agent\" claims. Inbox rotation and adaptive sending are plain automation.", "mcp_status": "official", "mcp_url": "https://developers.woodpecker.co/docs/mcp/ (Claude-specific setup at https://developers.woodpecker.co/docs/mcp/connect-claude/)", "mcp_auth": "hosted OAuth-style flow (Claude-specific) or self-hosted Docker setup using a Woodpecker API key", "api_gate": "paid", "revops_role": "Outbound email sequencing/deliverability layer; MCP access is bundled with API/webhook access as one paid add-on.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://woodpecker.co/pricing/, https://developers.woodpecker.co/docs/mcp/", "notes": "\"Integrations, API, webhooks, MCP, CLI\" is a single $20/month add-on available on top of any pricing tier — not enterprise-gated. Notable discovery gap: this server did not surface via GitHub/glama.ai search (which returned an unrelated \"Woodpecker CI\" project) — only found by checking the vendor's own site directly.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://developers.woodpecker.co/docs/mcp/", "https://developers.woodpecker.co/docs/mcp/connect-claude/" ], "source_urls": [ "https://woodpecker.co/pricing/", "https://developers.woodpecker.co/docs/mcp/" ], "source_annotations": [], "vendor_domain": "woodpecker.co", "display_name": "Woodpecker", "docs_url": null, "jobs": [ "run-email-sequence", "send-linkedin-message", "draft-personalized-outreach" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "02-woodpecker", "also_listed_in": [], "source_file": "02-engagement-outbound.md", "source_line": 198, "file_index": 10, "category_num": "02", "category_slug": "engagement-outbound", "category_label": "Engagement & Outbound", "heading": "Woodpecker", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 102 }, { "id": "03-airspeed", "slug": "airspeed", "normalized_name": "airspeed", "name": "Airspeed (formerly Glyphic)", "vendor_url": "goairspeed.com", "category": "conversation-intel", "what_it_does": "Records and analyses sales calls, then scores deals against playbooks and writes structured output back into the CRM.", "ai_features": "Genuinely AI-led: automatic call summarisation, MEDDIC-style qualification breakdowns, and agent runs whose structured outputs are retrievable as their own MCP tool rather than only as text.", "mcp_status": "official", "mcp_url": "https://api.glyphic.ai/mcp (docs: https://www.goairspeed.com/product/mcp)", "mcp_auth": "Airspeed API key passed as an X-API-Key header.", "api_gate": "paid", "revops_role": "Conversation capture and deal-scoring layer sitting between the call and the pipeline review.", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://www.goairspeed.com/product/mcp, https://www.goairspeed.com/, https://www.pulsemcp.com/servers/glyphic, https://www.goairspeed.com/product/api", "notes": "Added 2026-08-25 in the coverage sweep. REBRAND FOUND: Glyphic became Airspeed, glyphic.ai now 301-redirects to goairspeed.com, but the MCP endpoint still lives on the old api.glyphic.ai host, and most registry listings still say \"Glyphic\". That mismatch is a directly usable staleness signal for the registry-diff mechanism: a name-keyed diff would never catch this rebrand. Eleven tools across calls, playbooks and agent runs. GOVERNANCE CAVEAT worth saying out loud: API keys carry org-wide read access to every call, so an agent given this key can read the whole company's call library, not just the holder's. NOT VERIFIED: which Airspeed plan grants API keys.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://api.glyphic.ai/mcp", "https://www.goairspeed.com/product/mcp" ], "source_urls": [ "https://www.goairspeed.com/product/mcp", "https://www.goairspeed.com/", "https://www.pulsemcp.com/servers/glyphic", "https://www.goairspeed.com/product/api" ], "source_annotations": [], "vendor_domain": "goairspeed.com", "display_name": "Airspeed (formerly Glyphic)", "docs_url": "https://www.goairspeed.com/product/api", "jobs": [ "summarize-meeting", "extract-deal-signals-from-calls", "write-crm-records" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "03-airspeed", "also_listed_in": [], "source_file": "03-conversation-intel.md", "source_line": 391, "file_index": 20, "category_num": "03", "category_slug": "conversation-intel", "category_label": "Conversation Intel", "heading": "Airspeed (formerly Glyphic)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 43 }, { "id": "03-attention", "slug": "attention", "normalized_name": "attention", "name": "Attention", "vendor_url": "attention.com", "category": "conversation-intel", "what_it_does": "Captures, transcribes, and analyzes sales and customer conversations, automatically syncing structured insights to the CRM.", "ai_features": "AI-driven CRM auto-fill from calls, \"AI sales agents\" for follow-up automation, coaching workflows, sentiment/summary extraction, and searchable call snippets.", "mcp_status": "official", "mcp_url": "https://docs.attention.com/attention-mcp-server (an unofficial community fork also exists: https://github.com/highgravitas/attention-mcp)", "mcp_auth": "unknown — not confirmed in the sources reviewed.", "api_gate": "paid. No free plan; pricing runs roughly $100-$500/month per third-party trackers, with deeper API/security features reserved for a Contact-Sales Enterprise tier.", "revops_role": "CRM-auto-write conversation-intelligence layer, marketed as an \"AI agent platform\" for sales conversations rather than a passive recorder.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://docs.attention.com/attention-mcp-server, https://www.attention.com/, https://coldiq.com/tools/attention, https://github.com/highgravitas/attention-mcp", "notes": "None.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://docs.attention.com/attention-mcp-server", "https://github.com/highgravitas/attention-mcp" ], "source_urls": [ "https://docs.attention.com/attention-mcp-server", "https://www.attention.com/", "https://coldiq.com/tools/attention", "https://github.com/highgravitas/attention-mcp" ], "source_annotations": [], "vendor_domain": "attention.com", "display_name": "Attention", "docs_url": null, "jobs": [ "fetch-call-transcript", "summarize-meeting", "extract-deal-signals-from-calls", "write-crm-records", "score-rep-performance" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/highgravitas/attention-mcp", "https://github.com/highgravitas/attention-mcp" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "03-attention", "also_listed_in": [], "source_file": "03-conversation-intel.md", "source_line": 144, "file_index": 7, "category_num": "03", "category_slug": "conversation-intel", "category_label": "Conversation Intel", "heading": "Attention", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 48 }, { "id": "03-avoma", "slug": "avoma", "normalized_name": "avoma", "name": "Avoma", "vendor_url": "avoma.com", "category": "conversation-intel", "what_it_does": "AI meeting platform combining scheduling, note-taking, and conversation intelligence (deal insights, coaching) for sales teams.", "ai_features": "AI-generated summaries, conversation insights and key-topic extraction, deal-insight extraction feeding forecasts.", "mcp_status": "official", "mcp_url": "https://help.avoma.com/avoma-mcp-server-user-guide (full API reference at dev.avoma.com); works with Claude Desktop only as of this research, though other MCP clients are \"being considered\" per the vendor.", "mcp_auth": "API key pair (CLIENT_KEY:CLIENT_SECRET) generated at Settings → Organization → Developer.", "api_gate": "paid. No permanent free tier — only a 14-day trial. API access requires the Organization plan ($29/user/mo annual and up); the entry Startup plan does not include it.", "revops_role": "Combined scheduling-plus-conversation-intelligence layer; a solo operator needs a paid Organization-tier seat to reach the API/MCP.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://help.avoma.com/avoma-mcp-server-user-guide, https://www.avoma.com/blog/avoma-mcp-server, https://help.avoma.com/api-documentation, https://www.avoma.com/pricing", "notes": "None.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://help.avoma.com/avoma-mcp-server-user-guide" ], "source_urls": [ "https://help.avoma.com/avoma-mcp-server-user-guide", "https://www.avoma.com/blog/avoma-mcp-server", "https://help.avoma.com/api-documentation", "https://www.avoma.com/pricing" ], "source_annotations": [], "vendor_domain": "avoma.com", "display_name": "Avoma", "docs_url": null, "jobs": [ "fetch-call-transcript", "summarize-meeting", "extract-deal-signals-from-calls", "book-a-meeting" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "03-avoma", "also_listed_in": [], "source_file": "03-conversation-intel.md", "source_line": 220, "file_index": 11, "category_num": "03", "category_slug": "conversation-intel", "category_label": "Conversation Intel", "heading": "Avoma", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 49 }, { "id": "03-chorus", "slug": "chorus", "normalized_name": "chorus", "name": "Chorus", "vendor_url": "zoominfo.com/products/chorus", "category": "conversation-intel", "what_it_does": "Records, transcribes, and analyzes sales calls, meetings, and emails, and syncs the resulting insights into the CRM.", "ai_features": "Talk-ratio and sentiment scoring, competitor-mention detection, deal-risk/momentum scoring (declining engagement, negative sentiment trends, stalled deals), and coaching scorecards tracking methodology adherence. Transcription itself is standard ASR. Vendor \"14 patents\" marketing language was not independently verified.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a for MCP. The REST API uses a per-user API token generated in Chorus's Personal Settings page.", "api_gate": "enterprise-only (inferred, not an explicit vendor statement). No public self-serve pricing exists — the product page routes only to \"Request Demo,\" and secondary sources note API access is not included on every ZoomInfo/Chorus plan.", "revops_role": "Call-capture and coaching layer, differentiated from standalone conversation-intelligence tools by direct access to ZoomInfo's B2B contact/firmographic database.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.zoominfo.com/products/chorus, https://api-docs.chorus.ai/, https://www.claap.io/blog/chorus-ai-api, https://pipeline.zoominfo.com/sales/introducing-zoominfo-chorus", "notes": "None.", "mcp_status_bucket": "none-found", "api_gate_bucket": "enterprise-only", "mcp_urls": [], "source_urls": [ "https://www.zoominfo.com/products/chorus", "https://api-docs.chorus.ai/", "https://www.claap.io/blog/chorus-ai-api", "https://pipeline.zoominfo.com/sales/introducing-zoominfo-chorus" ], "source_annotations": [], "vendor_domain": "zoominfo.com", "display_name": "Chorus", "docs_url": null, "jobs": [ "fetch-call-transcript", "extract-deal-signals-from-calls", "score-rep-performance" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "03-chorus", "also_listed_in": [], "source_file": "03-conversation-intel.md", "source_line": 68, "file_index": 3, "category_num": "03", "category_slug": "conversation-intel", "category_label": "Conversation Intel", "heading": "Chorus (ZoomInfo)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 215 }, { "id": "03-circleback", "slug": "circleback", "normalized_name": "circleback", "name": "Circleback", "vendor_url": "circleback.ai", "category": "conversation-intel", "what_it_does": "AI meeting notetaker that produces structured notes, action items and insights from calls, and connects email threads to the same relationship record.", "ai_features": "Structured note and action-item extraction, meeting insights, and automatic profile and company entity resolution across meetings and connected email. The email-plus-meeting relationship graph is the differentiator versus transcript-only tools.", "mcp_status": "official", "mcp_url": "https://circleback.ai/api/mcp (docs: https://support.circleback.ai/en/articles/13249081-circleback-mcp; guide: https://circleback.ai/blog/how-to-connect-circleback-mcp)", "mcp_auth": "OAuth with dynamic client registration, compliant with the authenticated remote MCP spec. Centrally hosted and managed by Circleback.", "api_gate": "paid", "revops_role": "Meeting-capture and relationship-context layer for a small GTM team, uniquely readable by an agent because MCP appears to be the only programmatic surface.", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://support.circleback.ai/en/articles/13249081-circleback-mcp, https://circleback.ai/blog/how-to-connect-circleback-mcp, https://circleback.ai/blog/what-is-mcp-meeting-tool, https://circleback.ai/pricing, https://circleback.ai/", "notes": "Added 2026-08-25 in the coverage sweep. STRUCTURALLY THE MOST INTERESTING ENTRY IN THIS FILE: Circleback appears to have NO traditional REST API at all, which would make MCP its only programmatic access path. That is the first instance in this directory of a vendor shipping MCP INSTEAD of an API rather than in addition to one, and if it holds up it is a genuine leading indicator for the category. Flagged as an appearance, not a settled fact: absence of a public API page is not proof no API exists. Eleven tools documented: SearchMeetings, ReadMeetings, SearchTranscripts, GetTranscriptsForMeetings, SearchActionItems, SearchCalendarEvents, SearchEmails, FindProfiles, FindCompanies, ListTags, SearchSupportArticles. Published plans: Individual $20.83/user/mo, Team $25/user/mo, Enterprise custom, with a free trial. Which plans include MCP is NOT stated on either the pricing page or the MCP doc, so treat plan-gating as unknown within the paid gate. ENDPOINT DISCREPANCY: search results surface app.circleback.ai/api/mcp while the vendor support article gives circleback.ai/api/mcp; the support article value is used here.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://circleback.ai/api/mcp", "https://support.circleback.ai/en/articles/13249081-circleback-mcp", "https://circleback.ai/blog/how-to-connect-circleback-mcp" ], "source_urls": [ "https://support.circleback.ai/en/articles/13249081-circleback-mcp", "https://circleback.ai/blog/how-to-connect-circleback-mcp", "https://circleback.ai/blog/what-is-mcp-meeting-tool", "https://circleback.ai/pricing", "https://circleback.ai/" ], "source_annotations": [], "vendor_domain": "circleback.ai", "display_name": "Circleback", "docs_url": "https://support.circleback.ai/en/articles/13249081-circleback-mcp", "jobs": [ "summarize-meeting" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "03-circleback", "also_listed_in": [], "source_file": "03-conversation-intel.md", "source_line": 451, "file_index": 23, "category_num": "03", "category_slug": "conversation-intel", "category_label": "Conversation Intel", "heading": "Circleback", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 53 }, { "id": "03-clari", "slug": "clari", "normalized_name": "clari", "name": "Clari", "vendor_url": "clari.com", "category": "conversation-intel", "what_it_does": "Revenue operations platform that aggregates CRM, activity, and conversation data into pipeline inspection, forecasting, and deal-execution workflows.", "ai_features": "\"Revenue AI Agents\" for automated deal inspection and forecast automation are the genuinely AI-branded pieces; most of the rest of the platform is workflow/analytics orchestration over activity data rather than independently-verified ML.", "mcp_status": "official", "mcp_url": "https://www.clari.com/press/clari-salesloft-forecasting-execution-mcp-server/ (no public technical docs or repo found — the announcement points to a sales/Champions-Hub contact, not open docs)", "mcp_auth": "unknown / not disclosed publicly", "api_gate": "enterprise-leaning, not self-serve. Clari's core v4 API requires a paid subscription plus a support ticket to have Clari enable a feature flag on the account — it is not something a solo operator can turn on themselves. The MCP server announcement is likewise framed as a sales conversation, not a signup page.", "revops_role": "Forecasting / pipeline-inspection layer sitting above conversation-intelligence tools like Clari Copilot or Gong.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.clari.com/press/clari-salesloft-forecasting-execution-mcp-server/, https://www.salesloft.com/innovation/feature-releases/spring-2026-product-update, https://community.clari.com/product-q-a-6/clari-api-all-you-need-to-know-556, https://community.clari.com/general-q-a-7/using-clari-api-1542", "notes": "This April 2026 MCP server is a joint Clari + Salesloft product (the two appear to have combined go-to-market) — separate from the Clari Copilot conversation-intelligence product below.", "mcp_status_bucket": "official", "api_gate_bucket": "enterprise-leaning", "mcp_urls": [ "https://www.clari.com/press/clari-salesloft-forecasting-execution-mcp-server/" ], "source_urls": [ "https://www.clari.com/press/clari-salesloft-forecasting-execution-mcp-server/", "https://www.salesloft.com/innovation/feature-releases/spring-2026-product-update", "https://community.clari.com/product-q-a-6/clari-api-all-you-need-to-know-556", "https://community.clari.com/general-q-a-7/using-clari-api-1542" ], "source_annotations": [], "vendor_domain": "clari.com", "display_name": "Clari", "docs_url": null, "jobs": [ "read-pipeline-forecast" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "03-clari", "also_listed_in": [ { "id": "04-clari", "name": "Clari (+ Salesloft agents)", "category_num": "04", "category_slug": "ai-sdr-agents", "source_file": "04-ai-sdr-agents.md", "canonical": false } ], "source_file": "03-conversation-intel.md", "source_line": 30, "file_index": 1, "category_num": "03", "category_slug": "conversation-intel", "category_label": "Conversation Intel", "heading": "Clari", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 103 }, { "id": "03-clari-copilot", "slug": "clari-copilot", "normalized_name": "clari copilot", "name": "Clari Copilot", "vendor_url": "clari.com/products/copilot/", "category": "conversation-intel", "what_it_does": "Records and transcribes sales calls in real time and surfaces live coaching prompts, deal-risk flags, and auto-generated CRM updates during and after the call.", "ai_features": "Real-time deal-risk / blocker and competitor-mention detection; automatic capture of intent, objections, contacts, and next steps for CRM writeback; AI-generated call summaries and follow-up emails. Live \"battlecards\"/playbooks are more rules-based coaching content than a distinct AI model.", "mcp_status": "community", "mcp_url": "https://www.scalekit.com/connectors/claricopilot (third-party connector, not vendor-built). A Clari community forum thread — https://community.clari.com/product-q-a-6/why-was-copilot-mcp-server-removed-from-the-july-release-notes-2980 — asks why a \"Copilot MCP Server\" was pulled from July release notes, suggesting an official one may have been planned or briefly shipped; status of any first-party version is unresolved as of this research, so it is logged as community, not official.", "mcp_auth": "Scalekit-hosted connector uses per-user delegated OAuth-style authorization in Scalekit's own token vault. The underlying Clari Copilot REST API (https://api-doc.copilot.clari.com/) uses a static API Key + API Password pair generated in Workspace Settings → Integrations.", "api_gate": "paid. API access is self-service inside the product (Workspace Settings) once you are an active Copilot subscriber — no separate sales-gated enable step like the main Clari API. Whether a solo operator can become a Copilot customer at all without a sales call is unknown.", "revops_role": "Conversation-intelligence / call-recording layer (Gong-equivalent within the Clari family), feeding call-derived signals up into the broader Clari forecasting platform.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.clari.com/products/copilot/, https://api-doc.copilot.clari.com/, https://community.clari.com/product-q-a-6/how-to-use-copilot-apis-2258, https://www.scalekit.com/connectors/claricopilot, https://community.clari.com/product-q-a-6/why-was-copilot-mcp-server-removed-from-the-july-release-notes-2980", "notes": "The removed-from-release-notes thread is worth watching — an official Clari Copilot MCP server may land later and should be re-checked.", "mcp_status_bucket": "community", "api_gate_bucket": "paid", "mcp_urls": [ "https://www.scalekit.com/connectors/claricopilot", "https://community.clari.com/product-q-a-6/why-was-copilot-mcp-server-removed-from-the-july-release-notes-2980" ], "source_urls": [ "https://www.clari.com/products/copilot/", "https://api-doc.copilot.clari.com/", "https://community.clari.com/product-q-a-6/how-to-use-copilot-apis-2258", "https://www.scalekit.com/connectors/claricopilot", "https://community.clari.com/product-q-a-6/why-was-copilot-mcp-server-removed-from-the-july-release-notes-2980" ], "source_annotations": [], "vendor_domain": "clari.com", "display_name": "Clari Copilot", "docs_url": null, "jobs": [ "draft-personalized-outreach", "fetch-call-transcript", "summarize-meeting", "extract-deal-signals-from-calls", "write-crm-records" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "03-clari-copilot", "also_listed_in": [], "source_file": "03-conversation-intel.md", "source_line": 49, "file_index": 2, "category_num": "03", "category_slug": "conversation-intel", "category_label": "Conversation Intel", "heading": "Clari Copilot (ex-Wingman)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 147 }, { "id": "03-fathom", "slug": "fathom", "normalized_name": "fathom", "name": "Fathom", "vendor_url": "fathom.video", "category": "conversation-intel", "what_it_does": "Free AI meeting recorder/notetaker that transcribes calls and generates summaries, action items, and CRM sync.", "ai_features": "AI-generated meeting summaries and highlights, action-item extraction; the free plan caps advanced AI summaries at the first 5 calls/month.", "mcp_status": "community (no official MCP found; three unofficial/community wrappers exist — see mcp_url)", "mcp_url": "https://github.com/trevorwelch/fathom-video-mcp ; https://github.com/lukas-bekr/fathom-mcp ; https://github.com/druellan/Fathom-Simple-MCP (all explicitly labeled unofficial/community by their authors)", "mcp_auth": "Community servers authenticate with a Fathom API key (FATHOM_API_KEY environment variable).", "api_gate": "free. API access is included on all plan tiers including Free, with public developer docs and a downloadable OpenAPI spec — you can generate a key and start calling the API without upgrading. No published enterprise-only API tier.", "revops_role": "Low-friction meeting-capture layer, notable in this category for a genuinely open, no-paywall API.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://pipeline.zoominfo.com/sales/fathom-api-review, https://www.fathom.ai/pricing, https://github.com/trevorwelch/fathom-video-mcp, https://github.com/lukas-bekr/fathom-mcp", "notes": "Another Fireflies-style contrast case: free API access, but no official MCP server yet — only community wrappers.", "mcp_status_bucket": "community", "api_gate_bucket": "free", "mcp_urls": [ "https://github.com/trevorwelch/fathom-video-mcp", "https://github.com/lukas-bekr/fathom-mcp", "https://github.com/druellan/Fathom-Simple-MCP" ], "source_urls": [ "https://pipeline.zoominfo.com/sales/fathom-api-review", "https://www.fathom.ai/pricing", "https://github.com/trevorwelch/fathom-video-mcp", "https://github.com/lukas-bekr/fathom-mcp" ], "source_annotations": [], "vendor_domain": "fathom.video", "display_name": "Fathom", "docs_url": null, "jobs": [ "fetch-call-transcript", "summarize-meeting", "write-crm-records" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/trevorwelch/fathom-video-mcp", "https://github.com/lukas-bekr/fathom-mcp", "https://github.com/druellan/Fathom-Simple-MCP", "https://github.com/trevorwelch/fathom-video-mcp", "https://github.com/lukas-bekr/fathom-mcp" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "03-fathom", "also_listed_in": [], "source_file": "03-conversation-intel.md", "source_line": 182, "file_index": 9, "category_num": "03", "category_slug": "conversation-intel", "category_label": "Conversation Intel", "heading": "Fathom", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 144 }, { "id": "03-fellow", "slug": "fellow", "normalized_name": "fellow", "name": "Fellow", "vendor_url": "fellow.ai", "category": "conversation-intel", "what_it_does": "A meeting assistant that records, transcribes and summarises calls, then turns them into action items and decisions tied to the calendar event they came from.", "ai_features": "AI-generated meeting summaries, action-item extraction and talking points. The transcription and calendar sync are automation.", "mcp_status": "official", "mcp_url": "https://fellow.app/mcp (docs: https://developers.fellow.ai/reference/mcp-server)", "mcp_auth": "OAuth, with OAuth 2.0 dynamic discovery supported.", "api_gate": "unknown", "revops_role": "Meeting record and follow-up source that an agent can query directly instead of scraping the CRM activity log.", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://developers.fellow.ai/reference/mcp-server, https://help.fellow.ai/en/articles/12622641-fellow-s-mcp-server, https://fellow.ai/blog/fellow-mcp-server/", "notes": "Added 2026-08-25 in the coverage sweep. ADMIN-GATED, which is a distinct gate from the usual pricing gate and worth naming: a workspace admin must enable \"Allow users to create MCP connections\" under Settings, Security before any individual user can connect at all. Access then inherits the connecting user's existing Fellow permissions. The vendor does not state which pricing plan is required, so api_gate is recorded as unknown rather than guessed.", "mcp_status_bucket": "official", "api_gate_bucket": "unknown", "mcp_urls": [ "https://fellow.app/mcp", "https://developers.fellow.ai/reference/mcp-server" ], "source_urls": [ "https://developers.fellow.ai/reference/mcp-server", "https://help.fellow.ai/en/articles/12622641-fellow-s-mcp-server", "https://fellow.ai/blog/fellow-mcp-server/" ], "source_annotations": [], "vendor_domain": "fellow.ai", "display_name": "Fellow", "docs_url": "https://developers.fellow.ai/reference/mcp-server", "jobs": [ "fetch-call-transcript", "summarize-meeting" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "03-fellow", "also_listed_in": [], "source_file": "03-conversation-intel.md", "source_line": 411, "file_index": 21, "category_num": "03", "category_slug": "conversation-intel", "category_label": "Conversation Intel", "heading": "Fellow", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 133 }, { "id": "03-fireflies-ai", "slug": "fireflies-ai", "normalized_name": "fireflies ai", "name": "Fireflies.ai", "vendor_url": "fireflies.ai", "category": "conversation-intel", "what_it_does": "Records and transcribes meetings and exposes the data through an open GraphQL API and an in-app AI assistant (\"AskFred\") for summaries, search, and CRM writeback.", "ai_features": "Meeting summarization, AskFred conversational Q&A over transcript history, action-item extraction. \"AI credits\" gate some advanced AI actions even on paid plans; core transcription is ASR/automation.", "mcp_status": "official", "mcp_url": "https://guide.fireflies.ai/articles/8272956938-learn-about-the-fireflies-mcp-server-model-context-protocol (server endpoint https://api.fireflies.ai/mcp)", "mcp_auth": "OAuth (Google/Microsoft, recommended) or manual API key for Claude Desktop and other MCP clients.", "api_gate": "free (probable, not fully confirmed). The GraphQL API key is generated from Account → Integrations with no plan restriction stated in Fireflies' own quickstart docs, and multiple secondary sources report API access on every tier including free — but no primary Fireflies source explicitly states \"the free tier includes API access,\" so treat as probable rather than certain.", "revops_role": "Low-friction, developer-accessible conversation-data layer — the clearest solo-operator-friendly option among the recording-based tools.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://docs.fireflies.ai/getting-started/introduction, https://docs.fireflies.ai/getting-started/quickstart, https://guide.fireflies.ai/articles/8272956938-learn-about-the-fireflies-mcp-server-model-context-protocol, https://guide.fireflies.ai/articles/3734844560-learn-about-the-fireflies-pricing-plans", "notes": "This is the Gong-vs-Fireflies contrast the directory is built to surface: an open, self-serve GraphQL API plus an official MCP server, versus Gong's sales-gated everything.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://guide.fireflies.ai/articles/8272956938-learn-about-the-fireflies-mcp-server-model-context-protocol", "https://api.fireflies.ai/mcp" ], "source_urls": [ "https://docs.fireflies.ai/getting-started/introduction", "https://docs.fireflies.ai/getting-started/quickstart", "https://guide.fireflies.ai/articles/8272956938-learn-about-the-fireflies-mcp-server-model-context-protocol", "https://guide.fireflies.ai/articles/3734844560-learn-about-the-fireflies-pricing-plans" ], "source_annotations": [], "vendor_domain": "fireflies.ai", "display_name": "Fireflies.ai", "docs_url": null, "jobs": [ "fetch-call-transcript", "search-call-library", "summarize-meeting", "write-crm-records" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "03-fireflies-ai", "also_listed_in": [], "source_file": "03-conversation-intel.md", "source_line": 87, "file_index": 4, "category_num": "03", "category_slug": "conversation-intel", "category_label": "Conversation Intel", "heading": "Fireflies.ai", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 14 }, { "id": "03-gong", "slug": "gong", "normalized_name": "gong", "name": "Gong", "vendor_url": "gong.io", "category": "conversation-intel", "what_it_does": "Records, transcribes, and analyzes sales calls and emails, then rolls the signals into deal-risk scores, coaching data, and revenue forecasts.", "ai_features": "ML-based \"Deal Likelihood Score\" trained on 300+ engagement/CRM signals; risk-signal detection (engagement drop-off, competitor mentions, missing stakeholders); auto-populated coaching scorecards; natural-language \"Ask Anything\" query layer. Recording/transcription itself is standard ASR, not the differentiator.", "mcp_status": "official", "mcp_url": "https://help.gong.io/docs/about-gong-mcp ; announcement: https://www.gong.io/press/gong-introduces-model-context-protocol-mcp-support-to-unify-enterprise-ai-agents-from-hubspot-microsoft-salesforce-and-others ; community example: https://github.com/cedricziel/gong-mcp", "mcp_auth": "Official MCP client+server ships as part of Gong's enterprise agent stack (used to connect Microsoft 365 Copilot, Salesforce, etc.); community servers use Gong REST API Basic auth (Access Key + Access Key Secret from the admin console).", "api_gate": "enterprise-only in practice. Gong's own help doc says the API is \"Available on: Any Gong plan,\" but there is no self-serve signup at all — every purchase runs through sales with a mandatory annual platform fee (commonly $25,000-$50,000+/yr for mid-market/enterprise, $5,000 minimum) and multi-year contracts. A solo operator cannot get an API key without becoming a paying enterprise customer first.", "revops_role": "Call-recording / conversation-intelligence system of record feeding deal-risk and coaching signals into CRM and forecasting.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://help.gong.io/docs/about-gong-mcp, https://help.gong.io/docs/receive-access-to-the-api, https://www.gong.io/press/gong-introduces-model-context-protocol-mcp-support-to-unify-enterprise-ai-agents-from-hubspot-microsoft-salesforce-and-others, https://www.claap.io/blog/gong-api, https://github.com/cedricziel/gong-mcp", "notes": "The \"Available on: Any Gong plan\" language is real but misleading for a solo operator — there is no plan you can buy without a sales-led enterprise contract, so treat the API as enterprise-gated regardless of that wording.", "mcp_status_bucket": "official", "api_gate_bucket": "enterprise-only", "mcp_urls": [ "https://help.gong.io/docs/about-gong-mcp", "https://www.gong.io/press/gong-introduces-model-context-protocol-mcp-support-to-unify-enterprise-ai-agents-from-hubspot-microsoft-salesforce-and-others", "https://github.com/cedricziel/gong-mcp" ], "source_urls": [ "https://help.gong.io/docs/about-gong-mcp", "https://help.gong.io/docs/receive-access-to-the-api", "https://www.gong.io/press/gong-introduces-model-context-protocol-mcp-support-to-unify-enterprise-ai-agents-from-hubspot-microsoft-salesforce-and-others", "https://www.claap.io/blog/gong-api", "https://github.com/cedricziel/gong-mcp" ], "source_annotations": [], "vendor_domain": "gong.io", "display_name": "Gong", "docs_url": null, "jobs": [ "fetch-call-transcript", "search-call-library", "extract-deal-signals-from-calls", "read-pipeline-forecast", "score-rep-performance" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/cedricziel/gong-mcp", "https://github.com/cedricziel/gong-mcp" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "03-gong", "also_listed_in": [], "source_file": "03-conversation-intel.md", "source_line": 11, "file_index": 0, "category_num": "03", "category_slug": "conversation-intel", "category_label": "Conversation Intel", "heading": "Gong", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 112 }, { "id": "03-grain", "slug": "grain", "normalized_name": "grain", "name": "Grain", "vendor_url": "grain.com", "category": "conversation-intel", "what_it_does": "AI meeting notetaker that records and transcribes calls and builds a searchable, cross-meeting library synced to the CRM.", "ai_features": "Cross-meeting \"Ask anything\" Q&A over the meeting library, automatic action items/summaries. The official MCP tool list also exposes deal tools (list_open_deals, fetch_deal) and coaching-scorecard tools (list_coaching_feedback) gated to Business/Enterprise, implying deal-risk and coaching features exist beyond plain notetaking, though their depth wasn't independently verified from the marketing site alone.", "mcp_status": "official", "mcp_url": "https://developers.grain.com/mcp (server endpoint https://api.grain.com/_/mcp)", "mcp_auth": "OAuth via the native Claude integration, or manual server-URL setup for other MCP clients. Deal and coaching-feedback tools specifically require a Business or Enterprise plan.", "api_gate": "paid. The Free plan has no API access; Personal API access (via a Personal Access Token) starts at the Starter plan, so a solo operator can reach it but must pay. Workspace-wide API access requires Business/Enterprise plus admin rights.", "revops_role": "Meeting-capture and AI-searchable knowledge layer with direct, official MCP access reachable on a paid Starter plan without enterprise sales engagement.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://developers.grain.com/mcp, https://support.grain.com/en/articles/15507288-grain-api, https://grain.com/pricing", "notes": "An unofficial third-party server (https://github.com/eadm/grain-mcp-server) also exists — prefer the official one.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://developers.grain.com/mcp", "https://api.grain.com/_/mcp" ], "source_urls": [ "https://developers.grain.com/mcp", "https://support.grain.com/en/articles/15507288-grain-api", "https://grain.com/pricing" ], "source_annotations": [], "vendor_domain": "grain.com", "display_name": "Grain", "docs_url": null, "jobs": [ "fetch-call-transcript", "search-call-library", "summarize-meeting", "read-crm-records", "write-crm-records", "score-rep-performance" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "03-grain", "also_listed_in": [], "source_file": "03-conversation-intel.md", "source_line": 106, "file_index": 5, "category_num": "03", "category_slug": "conversation-intel", "category_label": "Conversation Intel", "heading": "Grain", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 64 }, { "id": "03-granola", "slug": "granola", "normalized_name": "granola", "name": "Granola", "vendor_url": "granola.ai", "category": "conversation-intel", "what_it_does": "General-purpose AI notetaker that generates enhanced meeting notes and summaries from a local desktop app.", "ai_features": "AI-enhanced note generation that blends your own typed notes with the transcript, plus meeting search. It is NOT a dedicated deal-scoring or CRM-writeback tool by design — it is horizontal, not sales-specific — though users can build sales workflows (e.g., drafting CRM notes from a sales call) on top of its MCP server.", "mcp_status": "official", "mcp_url": "https://www.pulsemcp.com/servers/granola (official server at https://mcp.granola.ai/mcp); also listed at https://mcpservers.org/servers/granola-mcp", "mcp_auth": "OAuth — no manual API key required.", "api_gate": "unknown/limited. No traditional public REST API or self-serve developer-pricing page was found; the MCP server is the primary documented programmatic access path. Several unofficial community MCP servers (e.g., https://github.com/chrisguillory/granola-mcp, https://github.com/Bencockin/granola-mcp) instead read the local Granola macOS app's data directly from disk — a workaround, not a sanctioned API.", "revops_role": "Horizontal meeting-notes layer that a RevOps stack can wire into sales workflows via MCP, but it is not a conversation-intelligence product in the Gong/Chorus sense — no native deal scoring, no coaching scorecards.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.pulsemcp.com/servers/granola, https://mcpservers.org/servers/granola-mcp, https://github.com/chrisguillory/granola-mcp, https://github.com/Bencockin/granola-mcp", "notes": "Included per the seed list, but flagged clearly: Granola is a horizontal notetaker with an official MCP server, not a sales-specific conversation-intelligence product — do not conflate it with Gong-class tools.", "mcp_status_bucket": "official", "api_gate_bucket": "unknown", "mcp_urls": [ "https://www.pulsemcp.com/servers/granola", "https://mcp.granola.ai/mcp", "https://mcpservers.org/servers/granola-mcp" ], "source_urls": [ "https://www.pulsemcp.com/servers/granola", "https://mcpservers.org/servers/granola-mcp", "https://github.com/chrisguillory/granola-mcp", "https://github.com/Bencockin/granola-mcp" ], "source_annotations": [], "vendor_domain": "granola.ai", "display_name": "Granola", "docs_url": null, "jobs": [ "fetch-call-transcript", "search-call-library", "summarize-meeting" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/chrisguillory/granola-mcp", "https://github.com/Bencockin/granola-mcp" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "03-granola", "also_listed_in": [], "source_file": "03-conversation-intel.md", "source_line": 296, "file_index": 15, "category_num": "03", "category_slug": "conversation-intel", "category_label": "Conversation Intel", "heading": "Granola", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 134 }, { "id": "03-highspot", "slug": "highspot", "normalized_name": "highspot", "name": "Highspot", "vendor_url": "highspot.com", "category": "conversation-intel", "what_it_does": "Sales enablement platform (content management, training) that has added a genuine call-recording and conversation-intelligence module on top of its core content product.", "ai_features": "Highspot Copilot uses generative AI plus conversation intelligence to score sales skills and deliver real-time coaching feedback from actual call recordings; call summaries, action items, and objection tracking are pulled from real calls via Highspot's acquisition of Nova.ai, now integrated natively into its codebase. This is genuine call-analysis AI, not just content recommendation — which is why it clears the bar for inclusion in this category.", "mcp_status": "official", "mcp_url": "https://www.highspot.com/product/mcp-server/", "mcp_auth": "unknown — product page describes agent-to-agent access via OpenAI, Anthropic, and Microsoft Copilot integrations but does not detail the underlying auth mechanism.", "api_gate": "enterprise-only (inferred). Highspot has no public self-serve pricing; sales enablement platforms of this class are sold via enterprise contract only in every source reviewed.", "revops_role": "Enablement-plus-conversation-intelligence hub, positioned to feed content, coaching, and call data to external AI agents via MCP.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.highspot.com/product/mcp-server/, https://www.highspot.com/product/conversation-intelligence-software/, https://www.highspot.com/blog/what-is-conversation-intelligence/, https://www.highspot.com/blog/discover-highspot-powering-impactful-buyer-engagement-with-ai-driven-insights/", "notes": "Included per the schema's conditional instruction (\"only if they have real conversation-AI\") — Highspot qualifies via its Nova.ai-powered Conversation Intelligence module.", "mcp_status_bucket": "official", "api_gate_bucket": "enterprise-only", "mcp_urls": [ "https://www.highspot.com/product/mcp-server/" ], "source_urls": [ "https://www.highspot.com/product/mcp-server/", "https://www.highspot.com/product/conversation-intelligence-software/", "https://www.highspot.com/blog/what-is-conversation-intelligence/", "https://www.highspot.com/blog/discover-highspot-powering-impactful-buyer-engagement-with-ai-driven-insights/" ], "source_annotations": [], "vendor_domain": "highspot.com", "display_name": "Highspot", "docs_url": null, "jobs": [ "fetch-call-transcript", "summarize-meeting", "extract-deal-signals-from-calls", "retrieve-sales-content", "score-rep-performance" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "03-highspot", "also_listed_in": [], "source_file": "03-conversation-intel.md", "source_line": 353, "file_index": 18, "category_num": "03", "category_slug": "conversation-intel", "category_label": "Conversation Intel", "heading": "Highspot", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 114 }, { "id": "03-jiminny", "slug": "jiminny", "normalized_name": "jiminny", "name": "Jiminny", "vendor_url": "jiminny.com", "category": "conversation-intel", "what_it_does": "Records, transcribes, and scores sales calls, syncing action items and summaries into the CRM.", "ai_features": "AI-generated call summaries and action items, conversation scoring/coaching tools per product marketing — depth not independently verified in this research.", "mcp_status": "community", "mcp_url": "https://glama.ai/mcp/servers/@fzheng0222/jiminny-mcp ; https://zapier.com/mcp/jiminny — both third-party; no official Jiminny-branded MCP announcement was found.", "mcp_auth": "Community server: JIMINNY_TOKEN API token. Zapier's hosted connector uses Zapier's own OAuth layer.", "api_gate": "unknown. Jiminny documents a customer-facing API (per its own help-center article \"What is the Jiminny API?\"), but no public self-serve pricing or explicit plan-gate for API access was confirmed.", "revops_role": "Mid-market call-recording and coaching layer with a documented but not fully transparent API surface.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://help.jiminny.com/en/articles/9527212-what-is-the-jiminny-api, https://glama.ai/mcp/servers/@fzheng0222/jiminny-mcp, https://zapier.com/mcp/jiminny, https://apitracker.io/a/jiminny", "notes": "Added as an expansion beyond the seed list — a second mid-market Gong/Chorus competitor worth tracking.", "mcp_status_bucket": "community", "api_gate_bucket": "unknown", "mcp_urls": [ "https://glama.ai/mcp/servers/@fzheng0222/jiminny-mcp", "https://zapier.com/mcp/jiminny" ], "source_urls": [ "https://help.jiminny.com/en/articles/9527212-what-is-the-jiminny-api", "https://glama.ai/mcp/servers/@fzheng0222/jiminny-mcp", "https://zapier.com/mcp/jiminny", "https://apitracker.io/a/jiminny" ], "source_annotations": [], "vendor_domain": "jiminny.com", "display_name": "Jiminny", "docs_url": null, "jobs": [ "fetch-call-transcript", "summarize-meeting", "write-crm-records", "score-rep-performance" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "03-jiminny", "also_listed_in": [], "source_file": "03-conversation-intel.md", "source_line": 334, "file_index": 17, "category_num": "03", "category_slug": "conversation-intel", "category_label": "Conversation Intel", "heading": "Jiminny", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 161 }, { "id": "03-meetgeek", "slug": "meetgeek", "normalized_name": "meetgeek", "name": "MeetGeek", "vendor_url": "meetgeek.ai", "category": "conversation-intel", "what_it_does": "Automatic meeting recorder and transcriber that produces summaries, highlights and conversation analytics across Zoom, Teams and Meet.", "ai_features": "AI summaries and highlight detection, plus meeting analytics such as talk-time and engagement metrics. Transcription in 100+ languages is commodity ASR; the analytics layer is the closest thing to a differentiator.", "mcp_status": "official", "mcp_url": "https://mcp.meetgeek.ai/mcp (cloud; docs https://support.meetgeek.ai/en/articles/13491658-public-mcp-cloud-guide). Self-hosted open source: https://github.com/meetgeekai/meetgeek-mcp-server", "mcp_auth": "Two paths. The cloud server uses OAuth 2.0 with Google or Microsoft sign-in and no API key. The self-hosted server runs locally on Node.js and authenticates to api.meetgeek.ai with a MeetGeek API key from account settings.", "api_gate": "free", "revops_role": "Zero-cost entry point for putting real meeting transcripts in front of an agent, useful as the cheapest way to prototype a conversation-intel workflow before paying for Gong or Avoma.", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://github.com/meetgeekai/meetgeek-mcp-server, https://support.meetgeek.ai/en/articles/13491658-public-mcp-cloud-guide, https://support.meetgeek.ai/en/articles/11939580-mcp-server, https://meetgeek.ai/pricing, https://meetgeek.ai/integrations/meetgeek-mcp, https://meetgeek.ai/blog/meetgeek-mcp-server", "notes": "Added 2026-08-25 in the coverage sweep. THE LOOSEST GATE FOUND IN THIS PASS, and the sharpest contrast in the whole directory: the pricing page lists \"API and MCP access\" as included on the free Basic plan, and the cloud MCP guide states the MeetGeek requirement is \"Free plan minimum\". Published plans: Basic free forever, Pro $9.99/user/mo, Business $17/user/mo, Enterprise custom. The practical constraint is data volume, not access: Basic caps at 3 hours of transcription per month. Set that beside Gong in this same file, where API access in practice means a five-figure enterprise contract, and the pair is a complete segment on its own. Eight cloud tools: list_user_meetings, list_team_meetings, get_meeting_details, get_meeting_transcript, get_meeting_summary, get_meeting_highlights, get_meeting_insights, upload_recording_for_analysis. That last one is a WRITE path, which is rarer than it sounds; most meeting MCPs found in this sweep are strictly read-only. The GitHub org meetgeekai is the vendor's own org, which is what makes the self-hosted repo count as official rather than community. Client-side plan requirements apply separately (Claude Pro/Team/Enterprise, ChatGPT Plus/Team/Enterprise).", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://mcp.meetgeek.ai/mcp", "https://support.meetgeek.ai/en/articles/13491658-public-mcp-cloud-guide", "https://github.com/meetgeekai/meetgeek-mcp-server" ], "source_urls": [ "https://github.com/meetgeekai/meetgeek-mcp-server", "https://support.meetgeek.ai/en/articles/13491658-public-mcp-cloud-guide", "https://support.meetgeek.ai/en/articles/11939580-mcp-server", "https://meetgeek.ai/pricing", "https://meetgeek.ai/integrations/meetgeek-mcp", "https://meetgeek.ai/blog/meetgeek-mcp-server" ], "source_annotations": [], "vendor_domain": "meetgeek.ai", "display_name": "MeetGeek", "docs_url": "https://docs.meetgeek.ai/", "jobs": [ "fetch-call-transcript", "summarize-meeting" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/meetgeekai/meetgeek-mcp-server", "https://github.com/meetgeekai/meetgeek-mcp-server" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "03-meetgeek", "also_listed_in": [], "source_file": "03-conversation-intel.md", "source_line": 431, "file_index": 22, "category_num": "03", "category_slug": "conversation-intel", "category_label": "Conversation Intel", "heading": "MeetGeek", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 23 }, { "id": "03-momentum", "slug": "momentum", "normalized_name": "momentum", "name": "Momentum", "vendor_url": "momentum.io", "category": "conversation-intel", "what_it_does": "Turns sales call and CRM activity into automatic Slack deal-channel updates, deal-risk alerts, and CRM field updates (\"revenue orchestration\").", "ai_features": "AI-based risk detection that parses calls, Slack threads, and CRM data for silence, negative sentiment, competitor mentions, and churn/blocker signals, plus AI-generated call summaries posted to Slack. Much of the orchestration itself (channel creation, routing) is rules/automation rather than AI.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a for MCP. The REST API uses an X-API-Key header, and API access must first be enabled for the org by Momentum's support team.", "api_gate": "enterprise-only in practice — API access requires contacting Momentum support to enable it before you can even create a key; no public self-serve pricing (third-party trackers cite plans starting around $828, quote-based).", "revops_role": "Slack/CRM-facing deal-risk alerting layer sitting on top of call and pipeline data.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.momentum.io/, https://docs.momentum.io/api-access, https://www.momentum.io/pricing, https://www.trustradius.com/products/dealmomentum/pricing", "notes": "A search for \"Momentum MCP\" surfaces an unrelated healthcare-sector company also branded \"Momentum\" (FHIR/Apple Health MCP servers) — not to be confused with momentum.io.", "mcp_status_bucket": "none-found", "api_gate_bucket": "enterprise-only", "mcp_urls": [], "source_urls": [ "https://www.momentum.io/", "https://docs.momentum.io/api-access", "https://www.momentum.io/pricing", "https://www.trustradius.com/products/dealmomentum/pricing" ], "source_annotations": [], "vendor_domain": "momentum.io", "display_name": "Momentum", "docs_url": null, "jobs": [ "summarize-meeting", "extract-deal-signals-from-calls", "write-crm-records" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "03-momentum", "also_listed_in": [], "source_file": "03-conversation-intel.md", "source_line": 163, "file_index": 8, "category_num": "03", "category_slug": "conversation-intel", "category_label": "Conversation Intel", "heading": "Momentum", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 223 }, { "id": "03-otter-ai", "slug": "otter-ai", "normalized_name": "otter ai", "name": "Otter.ai", "vendor_url": "otter.ai", "category": "conversation-intel", "what_it_does": "AI meeting notetaker whose Sales Agent variant pulls CRM context before a call and flags objections, competitor mentions, and pricing discussion live, then writes summaries and next steps back to the CRM.", "ai_features": "Live objection/competitor-mention flagging, real-time coaching tips, automatic pain-point and next-step summarization, buying-signal extraction feeding forecast updates, auto-drafted follow-up emails. Live transcription/captioning itself is ASR.", "mcp_status": "official", "mcp_url": "https://help.otter.ai/hc/en-us/articles/35287607569687-Otter-MCP-Server ; https://otter.ai/blog/otter-mcp-your-meetings-now-power-every-tool-you-use ; https://otter.ai/blog/otter-for-enterprise-connect-ai-to-ai-with-otters-mcp", "mcp_auth": "unknown — exact auth mechanism not confirmed in public sources; framed under \"Otter for Enterprise\" with a demo-request CTA.", "api_gate": "enterprise-only for the general API. Otter's Enterprise plan is the only tier explicitly documented to include \"Otter API and webhooks\" plus SSO/SCIM (limit of 2 API keys/user, 10 req/sec once granted). The Business plan unlocks Sales Agent/CRM sync features but not the general API.", "revops_role": "Live-call-assist layer available at Business tier; broader API/MCP agent access is reserved for Enterprise, making it one of the least solo-operator-friendly tools in this category on the developer-access axis.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://otter.ai/sales-agent, https://otter.ai/pricing, https://otter.ai/blog/otter-for-enterprise-connect-ai-to-ai-with-otters-mcp, https://help.otter.ai/hc/en-us/articles/35287607569687-Otter-MCP-Server", "notes": "None.", "mcp_status_bucket": "official", "api_gate_bucket": "enterprise-only", "mcp_urls": [ "https://help.otter.ai/hc/en-us/articles/35287607569687-Otter-MCP-Server", "https://otter.ai/blog/otter-mcp-your-meetings-now-power-every-tool-you-use", "https://otter.ai/blog/otter-for-enterprise-connect-ai-to-ai-with-otters-mcp" ], "source_urls": [ "https://otter.ai/sales-agent", "https://otter.ai/pricing", "https://otter.ai/blog/otter-for-enterprise-connect-ai-to-ai-with-otters-mcp", "https://help.otter.ai/hc/en-us/articles/35287607569687-Otter-MCP-Server" ], "source_annotations": [], "vendor_domain": "otter.ai", "display_name": "Otter.ai", "docs_url": null, "jobs": [ "draft-personalized-outreach", "fetch-call-transcript", "summarize-meeting", "extract-deal-signals-from-calls", "read-crm-records", "write-crm-records" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "03-otter-ai", "also_listed_in": [], "source_file": "03-conversation-intel.md", "source_line": 125, "file_index": 6, "category_num": "03", "category_slug": "conversation-intel", "category_label": "Conversation Intel", "heading": "Otter.ai", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 116 }, { "id": "03-rilla", "slug": "rilla", "normalized_name": "rilla", "name": "Rilla", "vendor_url": "rilla.com", "category": "conversation-intel", "what_it_does": "AI speech-analytics platform for field/in-person sales (home services, insurance) that records and analyzes face-to-face conversations via a mobile app rather than video-call bots.", "ai_features": "Script-compliance tracking, \"virtual ridealongs,\" automated coaching feedback, and custom moment-flagging derived from in-person conversation audio.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "unknown. Pricing is quote-only (third-party trackers cite $199-349/rep/month, $4,000+/user/year, annual contracts, roughly 5-seat minimums); no public developer docs, API terms, or MCP references were found.", "revops_role": "Field-sales conversation-capture layer for industries without video calls; CRM sync exists (HubSpot, Salesforce, Dynamics 365, Lasso) via native integration, not a documented public API.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.rilla.com/, https://sacra.com/c/rilla/, https://www.salesask.com/alternatives/rilla/rilla-pricing-guide-2026, https://www.merge.dev/case-studies/rilla", "notes": "Included as the field-sales / in-person contrast case to the video-call-centric tools that dominate this category.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.rilla.com/", "https://sacra.com/c/rilla/", "https://www.salesask.com/alternatives/rilla/rilla-pricing-guide-2026", "https://www.merge.dev/case-studies/rilla" ], "source_annotations": [], "vendor_domain": "rilla.com", "display_name": "Rilla", "docs_url": null, "jobs": [ "fetch-call-transcript", "score-rep-performance" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "03-rilla", "also_listed_in": [], "source_file": "03-conversation-intel.md", "source_line": 258, "file_index": 13, "category_num": "03", "category_slug": "conversation-intel", "category_label": "Conversation Intel", "heading": "Rilla", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 275 }, { "id": "03-salesroom", "slug": "salesroom", "normalized_name": "salesroom", "name": "Salesroom", "vendor_url": "salesroom.com", "category": "conversation-intel", "what_it_does": "Real-time AI video-conferencing platform for sales calls that coaches reps live against playbooks (MEDDIC, Challenger, BANT, Sandler) during the meeting.", "ai_features": "Live coaching cue cards, real-time buyer-engagement and attention-drop alerts, auto-generated CRM updates, video highlight reels, pre-written follow-up emails.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "unknown. No public developer docs, API pricing, or MCP references were found — only a HubSpot App Marketplace listing describing the integration.", "revops_role": "Live-meeting coaching plus CRM-auto-update layer, positioned as a real-time alternative to post-call analysis tools like Gong.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://ecosystem.hubspot.com/marketplace/listing/salesroom-by-salesroom-inc-1135699, https://www.salesroom.com/", "notes": "Thinnest public footprint of any tool in this category — flagged for a bench-test follow-up rather than trusted on research alone.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://ecosystem.hubspot.com/marketplace/listing/salesroom-by-salesroom-inc-1135699", "https://www.salesroom.com/" ], "source_annotations": [], "vendor_domain": "salesroom.com", "display_name": "Salesroom", "docs_url": null, "jobs": [ "draft-personalized-outreach", "write-crm-records", "score-rep-performance" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "03-salesroom", "also_listed_in": [], "source_file": "03-conversation-intel.md", "source_line": 277, "file_index": 14, "category_num": "03", "category_slug": "conversation-intel", "category_label": "Conversation Intel", "heading": "Salesroom", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 277 }, { "id": "03-seismic", "slug": "seismic", "normalized_name": "seismic", "name": "Seismic", "vendor_url": "seismic.com", "category": "conversation-intel", "what_it_does": "Sales enablement platform with a \"Seismic for Meetings\" module, powered by its \"Aura\" AI engine, that records, transcribes, and analyzes sales meetings.", "ai_features": "Aura AI engine performs meeting analysis (topics discussed, questions asked, suggested next steps) plus sentiment analysis on recorded conversations — genuine call-analysis AI layered onto the core content/enablement product, not just content recommendation.", "mcp_status": "official (Early Access)", "mcp_url": "https://developer.seismic.com/seismicsoftware/docs/seismic-mcp-server", "mcp_auth": "Streamable HTTP transport per Seismic's MCP documentation; the specific credential type (API key vs. OAuth) was not confirmed in the sources reviewed.", "api_gate": "enterprise-only (inferred). No public self-serve pricing; Seismic sells via enterprise contracts, and the MCP server itself is explicitly labeled \"Early Access,\" implying a limited/gated rollout even for existing customers.", "revops_role": "Enablement-plus-meeting-intelligence platform similar to Highspot, exposing content, engagement, and meeting data to AI agents via MCP.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://developer.seismic.com/seismicsoftware/docs/seismic-mcp-server, https://www.seismic.com/platform/meetings/, https://www.seismic.com/enablement-explainers/what-is-seismic-aura/, https://www.seismic.com/enablement-explainers/conversational-intelligence/", "notes": "Included per the schema's conditional instruction — Seismic qualifies via its Aura-powered Meetings module. MCP server status is \"Early Access,\" worth re-checking as it matures.", "mcp_status_bucket": "official", "api_gate_bucket": "enterprise-only", "mcp_urls": [ "https://developer.seismic.com/seismicsoftware/docs/seismic-mcp-server" ], "source_urls": [ "https://developer.seismic.com/seismicsoftware/docs/seismic-mcp-server", "https://www.seismic.com/platform/meetings/", "https://www.seismic.com/enablement-explainers/what-is-seismic-aura/", "https://www.seismic.com/enablement-explainers/conversational-intelligence/" ], "source_annotations": [], "vendor_domain": "seismic.com", "display_name": "Seismic", "docs_url": null, "jobs": [ "fetch-call-transcript", "summarize-meeting", "extract-deal-signals-from-calls", "retrieve-sales-content" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "03-seismic", "also_listed_in": [], "source_file": "03-conversation-intel.md", "source_line": 372, "file_index": 19, "category_num": "03", "category_slug": "conversation-intel", "category_label": "Conversation Intel", "heading": "Seismic", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 120 }, { "id": "03-sybill", "slug": "sybill", "normalized_name": "sybill", "name": "Sybill", "vendor_url": "sybill.ai", "category": "conversation-intel", "what_it_does": "AI sales assistant that analyzes call recordings, emails, and CRM data to produce deal insights, call summaries, and behavioral/sentiment reads on prospects.", "ai_features": "Conversational Q&A over calls, deals, people, and companies; deal-insight generation; auto-generated summaries. Vendor also markets \"real-time risk intelligence\" and behavioral-analysis claims that are vendor copy and were not independently verified here.", "mcp_status": "official", "mcp_url": "https://api.sybill.ai/docs/mcp.html (server https://mcp.sybill.ai/mcp)", "mcp_auth": "Browser-based sign-in / OAuth on first connection from an MCP client such as Claude Desktop.", "api_gate": "unknown/mixed. A free plan exists, but the REST/MCP API is explicitly \"in alpha\" (Sybill's own docs warn endpoints, schemas, and behavior may change without notice), and full webhook/API access is called out specifically as an Enterprise benefit — unclear whether the alpha API key is available below Enterprise.", "revops_role": "Chat-first conversation-intelligence layer aimed at individual AEs, with a still-experimental developer surface.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://api.sybill.ai/docs/mcp.html, https://api.sybill.ai/docs/introduction.html, https://www.sybill.ai/pricing, https://help.sybill.ai/en/articles/15384825-sybill-ai-credits-guide-pricing-overview", "notes": "None.", "mcp_status_bucket": "official", "api_gate_bucket": "unknown", "mcp_urls": [ "https://api.sybill.ai/docs/mcp.html", "https://mcp.sybill.ai/mcp" ], "source_urls": [ "https://api.sybill.ai/docs/mcp.html", "https://api.sybill.ai/docs/introduction.html", "https://www.sybill.ai/pricing", "https://help.sybill.ai/en/articles/15384825-sybill-ai-credits-guide-pricing-overview" ], "source_annotations": [], "vendor_domain": "sybill.ai", "display_name": "Sybill", "docs_url": null, "jobs": [ "search-call-library", "summarize-meeting", "extract-deal-signals-from-calls" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "03-sybill", "also_listed_in": [], "source_file": "03-conversation-intel.md", "source_line": 239, "file_index": 12, "category_num": "03", "category_slug": "conversation-intel", "category_label": "Conversation Intel", "heading": "Sybill", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 141 }, { "id": "03-tl-dv", "slug": "tl-dv", "normalized_name": "tl dv", "name": "tl;dv", "vendor_url": "tldv.io", "category": "conversation-intel", "what_it_does": "Records and transcribes Zoom, Google Meet, and Microsoft Teams calls, layering on sales coaching (playbook monitoring, objection handling) at higher tiers.", "ai_features": "Multi-meeting AI speaker insights, sales playbook monitoring and coaching, AI objection handling, AI-generated notes/summaries.", "mcp_status": "official", "mcp_url": "https://github.com/tldv-public/tldv-mcp-server (npm package tldv-mcp) ; https://tldv.io/blog/tldv-mcp-elevating-meeting-intelligence-with-ai-driven-contextualization/", "mcp_auth": "API key generated at Settings → Personal Settings → API keys.", "api_gate": "paid. The general API ships from the Pro plan ($18-29/mo); tl;dv's own MCP setup docs state you need a Business or Enterprise account specifically for the MCP server, since the free tier excludes API access entirely either way.", "revops_role": "Recording-plus-coaching layer with a genuinely reachable paid entry point ($18-29/mo) for a solo operator, unlike most enterprise-gated tools in this category.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://github.com/tldv-public/tldv-mcp-server, https://tldv.io/blog/tldv-mcp-elevating-meeting-intelligence-with-ai-driven-contextualization/, https://www.claap.io/blog/tl-dv-pricing, https://salestools.club/apis/tldv", "notes": "None.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://github.com/tldv-public/tldv-mcp-server", "https://tldv.io/blog/tldv-mcp-elevating-meeting-intelligence-with-ai-driven-contextualization/" ], "source_urls": [ "https://github.com/tldv-public/tldv-mcp-server", "https://tldv.io/blog/tldv-mcp-elevating-meeting-intelligence-with-ai-driven-contextualization/", "https://www.claap.io/blog/tl-dv-pricing", "https://salestools.club/apis/tldv" ], "source_annotations": [], "vendor_domain": "tldv.io", "display_name": "tl;dv", "docs_url": null, "jobs": [ "fetch-call-transcript", "summarize-meeting", "score-rep-performance" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/tldv-public/tldv-mcp-server", "https://github.com/tldv-public/tldv-mcp-server" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "03-tl-dv", "also_listed_in": [], "source_file": "03-conversation-intel.md", "source_line": 201, "file_index": 10, "category_num": "03", "category_slug": "conversation-intel", "category_label": "Conversation Intel", "heading": "tl;dv", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 97 }, { "id": "03-zoom-revenue-accelerator", "slug": "zoom-revenue-accelerator", "normalized_name": "zoom revenue accelerator", "name": "Zoom Revenue Accelerator", "vendor_url": "zoom.com", "category": "conversation-intel", "what_it_does": "Zoom's built-in conversation/revenue-intelligence layer that analyzes Zoom Meetings and Phone calls for deal insights, scorecards, and account activity.", "ai_features": "Transcripts and summaries, next-steps and objection extraction, deal scorecards, and account-activity rollups, per the MCP connector's documented data surface.", "mcp_status": "official", "mcp_url": "https://news.zoom.com/zoom-revenue-accelerator-mcp-connector/ ; https://github.com/zoom/zoom-plugin/blob/main/CONNECTORS.md", "mcp_auth": "OAuth — Zoom user-level OAuth access token (env var ZOOM_REVENUE_ACCELERATOR_MCP_ACCESS_TOKEN), plus an OpenAI Codex plugin variant.", "api_gate": "unknown/enterprise-leaning. Zoom Revenue Accelerator ships as an add-on to Zoom's paid meeting plans; explicit self-serve pricing for a single-seat/solo API user was not found in this research.", "revops_role": "Native conversation-intelligence layer for teams already standardized on Zoom, now exposed to external AI agents via an official MCP connector.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://news.zoom.com/zoom-revenue-accelerator-mcp-connector/, https://github.com/zoom/zoom-plugin/blob/main/CONNECTORS.md, https://support.zoom.com/hc/en/article?id=zm_kb&sysparm_article=KB0082725, https://developers.zoom.us/docs/api/rest/reference/iq/methods/", "notes": "None.", "mcp_status_bucket": "official", "api_gate_bucket": "unknown", "mcp_urls": [ "https://news.zoom.com/zoom-revenue-accelerator-mcp-connector/", "https://github.com/zoom/zoom-plugin/blob/main/CONNECTORS.md" ], "source_urls": [ "https://news.zoom.com/zoom-revenue-accelerator-mcp-connector/", "https://github.com/zoom/zoom-plugin/blob/main/CONNECTORS.md", "https://support.zoom.com/hc/en/article?id=zm_kb&sysparm_article=KB0082725", "https://developers.zoom.us/docs/api/rest/reference/iq/methods/" ], "source_annotations": [], "vendor_domain": "zoom.com", "display_name": "Zoom Revenue Accelerator", "docs_url": null, "jobs": [ "fetch-call-transcript", "summarize-meeting", "extract-deal-signals-from-calls" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/zoom/zoom-plugin/blob/main/CONNECTORS.md", "https://github.com/zoom/zoom-plugin/blob/main/CONNECTORS.md" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "03-zoom-revenue-accelerator", "also_listed_in": [], "source_file": "03-conversation-intel.md", "source_line": 315, "file_index": 16, "category_num": "03", "category_slug": "conversation-intel", "category_label": "Conversation Intel", "heading": "Zoom Revenue Accelerator", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 143 }, { "id": "04-11x", "slug": "11x", "normalized_name": "11x", "name": "11x (Alice)", "vendor_url": "https://11x.ai", "category": "ai-sdr-agents", "what_it_does": "An autonomous outbound worker (\"Alice\") that researches leads against an ICP, writes personalized copy, and runs multi-channel sequences (email, phone, social, SMS) through to meeting booking.", "ai_features": "Genuinely multi-step: signal-based prospect selection, per-prospect personalized message generation, and channel sequencing are AI-driven, not static templates. \"Always learning\" / 24-7 autonomy claims are vendor copy only — no independent verification found.", "mcp_status": "none-found", "mcp_url": null, "mcp_auth": "n/a", "api_gate": "unknown — pricing page returned a 404 on this pass; site lists \"API\" under integrations with no detail, no public self-serve signup found", "revops_role": "Outbound execution layer that sits on top of a CRM + data sources; replaces (or augments) a human SDR's prospecting-to-booking motion.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://11x.ai", "notes": "One of the earliest and most-funded \"digital worker\" brands in this category; heavy anthropomorphized marketing (\"Alice doesn't sleep\"). Could not verify uptime/output-quality claims independently — this is a RESEARCHED entry, not bench-tested.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://11x.ai" ], "source_annotations": [], "vendor_domain": "11x.ai", "display_name": "11x (Alice)", "docs_url": null, "jobs": [ "research-account-for-call-prep", "run-email-sequence", "send-linkedin-message", "draft-personalized-outreach", "place-outbound-call", "run-autonomous-sdr-agent", "book-a-meeting" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "04-11x", "also_listed_in": [], "source_file": "04-ai-sdr-agents.md", "source_line": 11, "file_index": 0, "category_num": "04", "category_slug": "ai-sdr-agents", "category_label": "AI SDRs", "heading": "11x (Alice)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 232 }, { "id": "04-aisdr", "slug": "aisdr", "normalized_name": "aisdr", "name": "AiSDR", "vendor_url": "https://aisdr.com", "category": "ai-sdr-agents", "what_it_does": "An AI sales agent that researches prospects via \"Live AI search,\" writes and sends personalized email/LinkedIn outreach, qualifies replies, and books a meeting only once a prospect is judged ready.", "ai_features": "Plain-English targeting instead of static list filters, and reply qualification before human handoff are the more genuinely agentic pieces; \"thinks before it acts\" / \"refuses to spam\" positioning is vendor copy not independently verified.", "mcp_status": "none-found", "mcp_url": null, "mcp_auth": "n/a", "api_gate": "paid, self-serve — $900/month (billed quarterly), unlimited seats, credit-based (message + lead-search credits); no separate API tier advertised", "revops_role": "Outbound sequencing + qualification layer for teams without a human SDR at all — priced and marketed as a full SDR replacement, not a tool add-on.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://aisdr.com", "notes": "One of the few entries in this pass with transparent public pricing — useful data point for a solo-operator budget comparison.", "mcp_status_bucket": "none-found", "api_gate_bucket": "paid", "mcp_urls": [], "source_urls": [ "https://aisdr.com" ], "source_annotations": [], "vendor_domain": "aisdr.com", "display_name": "AiSDR", "docs_url": null, "jobs": [ "research-account-for-call-prep", "run-email-sequence", "send-linkedin-message", "draft-personalized-outreach", "run-autonomous-sdr-agent", "book-a-meeting" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "04-aisdr", "also_listed_in": [], "source_file": "04-ai-sdr-agents.md", "source_line": 68, "file_index": 3, "category_num": "04", "category_slug": "ai-sdr-agents", "category_label": "AI SDRs", "heading": "AiSDR", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 184 }, { "id": "04-amplemarket", "slug": "amplemarket", "normalized_name": "amplemarket", "name": "Amplemarket (Duo Copilot)", "vendor_url": "https://www.amplemarket.com", "category": "ai-sdr-agents", "what_it_does": "An all-in-one sales platform (lead gen + multichannel engagement + deliverability) with an AI agent layer (\"Duo Copilot\") that detects buying signals, writes and A/B-tests email copy (including AI voice-cloned voice notes), runs multichannel sequences, and suggests meeting follow-ups.", "ai_features": "Signal detection across multiple sources (site visits, job changes, competitor reviews, Slack community posts) and iterative \"learns from your feedback like a coworker\" personalization are the vendor's agentic claims; voice cloning for personalized voice notes is a distinctive, verifiable feature (not common elsewhere in this category).", "mcp_status": "official", "mcp_url": "https://knowledge.amplemarket.com/articles/8022685319-connecting-to-the-amplemarket-mcp-server", "mcp_auth": "Account sign-in (no API key needed) — \"sign in with your Amplemarket account when prompted\"", "api_gate": "paid, with free trial — active Amplemarket account required; free trial available; MCP itself requires no separate purchase beyond the account", "revops_role": "Combined data/enrichment + outbound execution layer with a genuinely accessible MCP for a solo operator to test directly inside Claude/ChatGPT.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.amplemarket.com, https://knowledge.amplemarket.com/articles/8022685319-connecting-to-the-amplemarket-mcp-server", "notes": "MCP lets a connected client \"search for prospects, enrich contacts, pull up past activity, and build lead lists\" directly in a chat client — one of the cleanest, most solo-operator-accessible official MCPs found in this entire research pass. Strong bench-test candidate.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://knowledge.amplemarket.com/articles/8022685319-connecting-to-the-amplemarket-mcp-server" ], "source_urls": [ "https://www.amplemarket.com", "https://knowledge.amplemarket.com/articles/8022685319-connecting-to-the-amplemarket-mcp-server" ], "source_annotations": [], "vendor_domain": "amplemarket.com", "display_name": "Amplemarket (Duo Copilot)", "docs_url": null, "jobs": [ "search-people-by-criteria", "fetch-buyer-intent-signals", "track-job-changes", "run-email-sequence", "send-linkedin-message", "draft-personalized-outreach", "place-outbound-call" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": false, "canonical_id": "02-amplemarket", "also_listed_in": [ { "id": "02-amplemarket", "name": "Amplemarket", "category_num": "02", "category_slug": "engagement-outbound", "source_file": "02-engagement-outbound.md", "canonical": true } ], "source_file": "04-ai-sdr-agents.md", "source_line": 410, "file_index": 21, "category_num": "04", "category_slug": "ai-sdr-agents", "category_label": "AI SDRs", "heading": "Amplemarket (Duo Copilot)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 45 }, { "id": "04-artisan-ai", "slug": "artisan-ai", "normalized_name": "artisan ai", "name": "Artisan AI (Ava)", "vendor_url": "https://www.artisan.co", "category": "ai-sdr-agents", "what_it_does": "An AI agent (\"Ava\") that finds and enriches B2B leads, writes and sends personalized outreach, handles replies, and books meetings — marketed as running outbound \"end to end.\"", "ai_features": "Lead research/enrichment and message personalization are AI-driven per vendor copy; reply-handling and end-to-end autonomy claims (\"runs outbound end to end\") could not be independently verified — treat as vendor-copy-only until bench-tested.", "mcp_status": "none-found", "mcp_url": null, "mcp_auth": "n/a", "api_gate": "unknown — pricing page exists (artisan.co/pricing) but returned only a page summary (\"credit-based, tiers for startups through enterprise\") with no self-serve signup confirmed; no API access tier documented", "revops_role": "Full-funnel outbound replacement layer — positioned to replace an entire SDR hire, not just a sequencing tool.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.artisan.co, https://www.artisan.co/pricing", "notes": "Famous for its 2024 \"stop hiring humans\" billboard campaign — a marketing stance worth noting since it signals how aggressively the vendor copy should be discounted. Good bench-test candidate precisely because the claims are so strong.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.artisan.co", "https://www.artisan.co/pricing" ], "source_annotations": [], "vendor_domain": "artisan.co", "display_name": "Artisan AI (Ava)", "docs_url": null, "jobs": [ "search-people-by-criteria", "run-email-sequence", "draft-personalized-outreach", "run-autonomous-sdr-agent", "book-a-meeting" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "04-artisan-ai", "also_listed_in": [], "source_file": "04-ai-sdr-agents.md", "source_line": 30, "file_index": 1, "category_num": "04", "category_slug": "ai-sdr-agents", "category_label": "AI SDRs", "heading": "Artisan AI (Ava)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 234 }, { "id": "04-clari", "slug": "clari", "normalized_name": "clari", "name": "Clari (+ Salesloft agents)", "vendor_url": "https://www.clari.com", "category": "ai-sdr-agents", "what_it_does": "Primarily a revenue-intelligence/forecasting platform (deal inspection, pipeline forecasting) with an AI Copilot for conversation coaching; following Clari's merger with Salesloft, the combined product line adds \"Revenue AI Agents\" for deal inspection/forecast automation and (via Salesloft) outbound execution.", "ai_features": "Deal inspection and forecast automation are the confirmed agentic pieces; this is not an outbound-prospecting AI SDR in the 11x/Artisan sense — its inclusion here is because the seed list named it and because the Salesloft merger pulls real outbound-execution capability into the same product family.", "mcp_status": "official", "mcp_url": "https://www.clari.com/press/clari-salesloft-forecasting-execution-mcp-server/", "mcp_auth": "unknown — announcement confirms an official MCP server (works with Claude, ChatGPT, Microsoft Copilot, Gemini, and Salesforce Agentforce) but does not disclose the authentication mechanism", "api_gate": "enterprise-only — Clari and Salesloft are both enterprise revenue-platform sales, no self-serve signup found", "revops_role": "Forecasting/revenue-intelligence layer, now with a bridge into Salesloft's outbound-execution data via the joint MCP — sits above the CRM, consuming data from outbound tools rather than replacing them.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.clari.com/press/clari-salesloft-forecasting-execution-mcp-server/, https://www.salesloft.com/innovation/feature-releases/spring-2026-product-update", "notes": "Announced April 14, 2026 — genuinely one of the more significant MCP launches surfaced in this pass (multi-model support named explicitly), but it's a forecasting/pipeline-data MCP, not an SDR-agent MCP. Category fit is borderline; included because of the seed list and because the MCP finding itself is directory-worthy.", "mcp_status_bucket": "official", "api_gate_bucket": "enterprise-only", "mcp_urls": [ "https://www.clari.com/press/clari-salesloft-forecasting-execution-mcp-server/" ], "source_urls": [ "https://www.clari.com/press/clari-salesloft-forecasting-execution-mcp-server/", "https://www.salesloft.com/innovation/feature-releases/spring-2026-product-update" ], "source_annotations": [], "vendor_domain": "clari.com", "display_name": "Clari (+ Salesloft agents)", "docs_url": null, "jobs": [ "read-pipeline-forecast" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": false, "canonical_id": "03-clari", "also_listed_in": [ { "id": "03-clari", "name": "Clari", "category_num": "03", "category_slug": "conversation-intel", "source_file": "03-conversation-intel.md", "canonical": true } ], "source_file": "04-ai-sdr-agents.md", "source_line": 258, "file_index": 13, "category_num": "04", "category_slug": "ai-sdr-agents", "category_label": "AI SDRs", "heading": "Clari (+ Salesloft agents)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 106 }, { "id": "04-conversica", "slug": "conversica", "normalized_name": "conversica", "name": "Conversica", "vendor_url": "https://www.conversica.com", "category": "ai-sdr-agents", "what_it_does": "AI agents that conduct two-way conversations (email, SMS, chat, messaging apps) to research/qualify leads from events, ads, and inbound inquiries, send personalized follow-ups, and book meetings; also runs customer-service and renewal/upsell conversations.", "ai_features": "Two-way conversational qualification (not just one-shot outreach) is the more genuinely agentic piece, and the \"resolve issues by taking action\" claim (triggering workflows, updating systems) is verifiable via the platform's stack-integration positioning — though independent verification of conversation quality was not possible from public marketing pages alone.", "mcp_status": "none-found", "mcp_url": null, "mcp_auth": "n/a", "api_gate": "unknown — page references an \"API Terms of Service\" document, implying API access exists, but no self-serve signup or pricing found", "revops_role": "One of the longest-established players in this category (predates the current \"AI agent\" branding wave by roughly a decade as a chatbot/virtual-assistant vendor); now repositioned with heavy \"AI Agent\" language.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.conversica.com", "notes": "Good \"before and after\" case study for how vendor language shifted 2023-2026 — Conversica's older positioning was \"virtual assistant\"/chatbot, current copy uses \"AI Agents\" throughout for what appears to be a similar underlying conversational-automation product.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.conversica.com" ], "source_annotations": [], "vendor_domain": "conversica.com", "display_name": "Conversica", "docs_url": null, "jobs": [ "run-email-sequence", "book-a-meeting", "answer-inbound-chat", "score-and-prioritize-leads" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "04-conversica", "also_listed_in": [], "source_file": "04-ai-sdr-agents.md", "source_line": 353, "file_index": 18, "category_num": "04", "category_slug": "ai-sdr-agents", "category_label": "AI SDRs", "heading": "Conversica", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 242 }, { "id": "04-copy-ai", "slug": "copy-ai", "normalized_name": "copy ai", "name": "Copy.ai (GTM AI Platform)", "vendor_url": "https://www.copy.ai", "category": "ai-sdr-agents", "what_it_does": "Pivoted from an AI copywriting tool to a workflow-building platform (\"Copy Agents\") that automates GTM tasks — prospecting/lead research, inbound enrichment, content generation, deal analysis — via user-built AI workflows with guardrails.", "ai_features": "Explicitly positions itself against \"unconstrained AI agents,\" emphasizing structured, guardrailed automation (its \"Actions\"/\"Tables\" building blocks) over freeform autonomy — a rare case of a vendor being modest about its own agentic-ness rather than overselling it.", "mcp_status": "community", "mcp_url": "https://github.com/anhuaxiang/copy-ai-mcp", "mcp_auth": "API key via COPY_AI_API_KEY environment variable", "api_gate": "unknown — 2,000+ integrations advertised; no public self-serve API pricing found on this pass", "revops_role": "Workflow/automation layer that can be pointed at prospecting, content, or deal-analysis tasks depending on configuration — more of a builder toolkit than a packaged \"AI SDR.\"", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.copy.ai, https://github.com/anhuaxiang/copy-ai-mcp", "notes": "The community MCP repo is very thin — 1 star, 3 commits, 0 forks/issues — treat as experimental, not production-ready. No official Copy.ai MCP found.", "mcp_status_bucket": "community", "api_gate_bucket": "unknown", "mcp_urls": [ "https://github.com/anhuaxiang/copy-ai-mcp" ], "source_urls": [ "https://www.copy.ai", "https://github.com/anhuaxiang/copy-ai-mcp" ], "source_annotations": [], "vendor_domain": "copy.ai", "display_name": "Copy.ai (GTM AI Platform)", "docs_url": null, "jobs": [ "research-account-for-call-prep", "draft-personalized-outreach", "run-automation-workflow" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/anhuaxiang/copy-ai-mcp", "https://github.com/anhuaxiang/copy-ai-mcp" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "04-copy-ai", "also_listed_in": [], "source_file": "04-ai-sdr-agents.md", "source_line": 144, "file_index": 7, "category_num": "04", "category_slug": "ai-sdr-agents", "category_label": "AI SDRs", "heading": "Copy.ai (GTM AI Platform)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 160 }, { "id": "04-hubspot-breeze", "slug": "hubspot-breeze", "normalized_name": "hubspot breeze", "name": "HubSpot Breeze (AI Prospecting Agent)", "vendor_url": "https://www.hubspot.com/products/sales/ai-prospecting-agent", "category": "ai-sdr-agents", "what_it_does": "Monitors accounts for buying signals (funding, leadership changes, site visits) via integrated data providers (ZoomInfo, Apollo, Surfe, Seamless), identifies decision-makers, and drafts personalized outreach emails in a rep's voice; can send with human review or in a fully autonomous send mode. Does not book meetings itself — it hands off qualified leads to reps.", "ai_features": "Signal monitoring and voice-matched drafting are genuinely automated; the reviewed-vs-autonomous send toggle is a real, verifiable agentic feature (not just template automation) — this is one of the more precisely documented entries in the category.", "mcp_status": "none-found", "mcp_url": null, "mcp_auth": "n/a", "api_gate": "paid, bundled — included in Starter/Professional/Enterprise Sales Hub editions, billed per-lead ($1/lead recommended) against pooled \"HubSpot Credits\"; no separate subscription", "revops_role": "Native prospecting layer for shops already on HubSpot Sales Hub — competes directly with standalone tools like AiSDR/Regie for HubSpot-native teams.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.hubspot.com/products/sales/ai-prospecting-agent, https://developers.hubspot.com/mcp", "notes": "HubSpot has an official, platform-wide MCP server (OAuth 2.0/2.1, developers.hubspot.com/mcp) covering CRM objects (contacts, deals, engagements, etc.) — but nothing found confirming the Breeze Prospecting Agent specifically is exposed through it. Performance claims (\"76% more qualified leads,\" \"80% more meetings,\" \"26% higher win rate\") are vendor-reported and unsourced beyond the marketing page — mark as vendor-copy-only.", "mcp_status_bucket": "none-found", "api_gate_bucket": "paid", "mcp_urls": [], "source_urls": [ "https://www.hubspot.com/products/sales/ai-prospecting-agent", "https://developers.hubspot.com/mcp" ], "source_annotations": [], "vendor_domain": "hubspot.com", "display_name": "HubSpot Breeze (AI Prospecting Agent)", "docs_url": null, "jobs": [ "fetch-buyer-intent-signals", "detect-funding-or-news-event", "run-email-sequence", "draft-personalized-outreach", "run-autonomous-sdr-agent" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "04-hubspot-breeze", "also_listed_in": [], "source_file": "04-ai-sdr-agents.md", "source_line": 239, "file_index": 12, "category_num": "04", "category_slug": "ai-sdr-agents", "category_label": "AI SDRs", "heading": "HubSpot Breeze (AI Prospecting Agent)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 195 }, { "id": "04-klenty", "slug": "klenty", "normalized_name": "klenty", "name": "Klenty", "vendor_url": "https://www.klenty.com", "category": "ai-sdr-agents", "what_it_does": "A sales engagement platform whose AI layer (\"Agentic Cadences\") researches accounts across 150+ data sources, drafts tailored 1:1 emails and value propositions per account, and suggests next actions after sales conversations (\"Action AI\").", "ai_features": "Account research and tailored-messaging generation are confirmed via the vendor's own homepage copy; a distinctly named \"SDRx\" product (as referenced in the directory's seed list) could not be confirmed on the current live site — every specific product/blog URL tried for it returned a 404. Treat \"SDRx\" branding as unconfirmed.", "mcp_status": "none-found", "mcp_url": null, "mcp_auth": "n/a", "api_gate": "unknown — no pricing/API docs reached on this pass", "revops_role": "Sequencing/cadence layer with account-research augmentation, sitting alongside a CRM rather than replacing an SDR outright.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.klenty.com", "notes": "SWEEP FLAG — could not verify the \"SDRx\" product name specifically; homepage describes AI features under \"Agentic Cadences\" / \"Action AI\" branding instead. Either the product was renamed/discontinued or the naming in the seed list is stale — re-verify before publishing any \"SDRx\" reference.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.klenty.com" ], "source_annotations": [], "vendor_domain": "klenty.com", "display_name": "Klenty", "docs_url": null, "jobs": [ "research-account-for-call-prep", "run-email-sequence", "draft-personalized-outreach", "place-outbound-call", "score-rep-performance", "run-sales-roleplay-practice" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": false, "canonical_id": "02-klenty", "also_listed_in": [ { "id": "02-klenty", "name": "Klenty", "category_num": "02", "category_slug": "engagement-outbound", "source_file": "02-engagement-outbound.md", "canonical": true } ], "source_file": "04-ai-sdr-agents.md", "source_line": 391, "file_index": 20, "category_num": "04", "category_slug": "ai-sdr-agents", "category_label": "AI SDRs", "heading": "Klenty", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 256 }, { "id": "04-landbase", "slug": "landbase", "normalized_name": "landbase", "name": "Landbase", "vendor_url": "https://www.landbase.com", "category": "ai-sdr-agents", "what_it_does": "A GTM data platform that targets, qualifies, prioritizes, and enriches B2B accounts via AI agents using natural-language criteria, with continuous signal monitoring — it prepares audiences rather than writing/sending/booking itself.", "ai_features": "Natural-language account targeting and continuous re-qualification (no manual audience rebuilding) are the confirmed agentic pieces; this is a data/targeting layer, not an outreach-execution agent, despite \"AI agents\" framing.", "mcp_status": "none-found", "mcp_url": null, "mcp_auth": "n/a", "api_gate": "unknown — no public pricing found; notable CLI install path for coding-agent integration (cli.landbase.com/latest/agent-install.txt) aimed at Claude Code/Codex, but that is a CLI, not an MCP server", "revops_role": "Account targeting/enrichment layer that feeds an outbound execution tool (like the other entries in this category) rather than replacing one.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.landbase.com", "notes": "Worth a second look for the \"MCP infrastructure\" category (7) rather than just this one — the Claude Code/Codex CLI installer is an interesting adjacent-to-MCP integration pattern even though it isn't MCP itself.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.landbase.com" ], "source_annotations": [], "vendor_domain": "landbase.com", "display_name": "Landbase", "docs_url": null, "jobs": [ "enrich-company-from-domain", "build-target-account-list", "fetch-buyer-intent-signals", "score-and-prioritize-leads" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "04-landbase", "also_listed_in": [], "source_file": "04-ai-sdr-agents.md", "source_line": 296, "file_index": 15, "category_num": "04", "category_slug": "ai-sdr-agents", "category_label": "AI SDRs", "heading": "Landbase", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 258 }, { "id": "04-luru", "slug": "luru", "normalized_name": "luru", "name": "Luru", "vendor_url": "https://luru.app", "category": "ai-sdr-agents", "what_it_does": "An AI SDR platform per its current site copy — lead discovery/enrichment with intent signals, personalized multi-channel outreach (email, LinkedIn, phone), objection handling, and meeting booking.", "ai_features": "\"Self-learning\" continuous optimization and objection-handling claims are vendor copy only, not independently verified; the win-rate claim (\"does 2x better than the average SDR\") is an unsourced vendor benchmark.", "mcp_status": "none-found", "mcp_url": null, "mcp_auth": "n/a", "api_gate": "unknown — no public pricing/API docs found on this pass", "revops_role": "Outbound execution layer, positioned as \"set it and forget it\" full-funnel automation.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://luru.app", "notes": "Luru was historically known as a no-code CRM/revenue-workflow automation tool (Slack-native deal updates, pipeline hygiene) rather than an outbound AI SDR — current site copy reads as a repositioning toward \"AI SDR\" branding. Worth re-checking whether this is a full pivot or a rebrand of the same underlying workflow engine before citing further.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://luru.app" ], "source_annotations": [], "vendor_domain": "luru.app", "display_name": "Luru", "docs_url": null, "jobs": [ "search-people-by-criteria", "fetch-buyer-intent-signals", "run-email-sequence", "send-linkedin-message", "draft-personalized-outreach", "place-outbound-call", "run-autonomous-sdr-agent", "book-a-meeting" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "04-luru", "also_listed_in": [], "source_file": "04-ai-sdr-agents.md", "source_line": 201, "file_index": 10, "category_num": "04", "category_slug": "ai-sdr-agents", "category_label": "AI SDRs", "heading": "Luru", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 260 }, { "id": "04-madkudu", "slug": "madkudu", "normalized_name": "madkudu", "name": "MadKudu", "vendor_url": "https://www.madkudu.com (redirects to https://hginsights.com)", "category": "ai-sdr-agents", "what_it_does": "Historically a lead-scoring/qualification product; the vendor domain now redirects to HG Insights, and MadKudu appears folded into HG Insights' \"HG Sales Copilot\" (AI-automated scoring, account research, playbooks, personalized outreach sequences, signal-based engagement) at msi.madkudu.com.", "ai_features": "Could not independently verify current-state agentic depth beyond the HG Insights marketing description found via the redirect; the original standalone MadKudu lead-scoring product no longer appears to exist as an independent entity.", "mcp_status": "none-found", "mcp_url": null, "mcp_auth": "n/a", "api_gate": "unknown", "revops_role": "Formerly a lead-scoring layer between marketing/sales handoff; now positioned inside HG Insights' broader revenue-intelligence suite.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.madkudu.com, https://hginsights.com", "notes": "SWEEP FLAG — www.madkudu.com now 301-redirects to hginsights.com, and the login link is labeled \"HG Sales Copilot\" at msi.madkudu.com. Strong signal of an acquisition/absorption; could not find a dedicated public announcement confirming deal terms or date in this pass. Treat MadKudu as effectively discontinued as a standalone product.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.madkudu.com", "https://hginsights.com" ], "source_annotations": [], "vendor_domain": "madkudu.com", "display_name": "MadKudu", "docs_url": null, "jobs": [ "score-and-prioritize-leads" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "04-madkudu", "also_listed_in": [], "source_file": "04-ai-sdr-agents.md", "source_line": 277, "file_index": 14, "category_num": "04", "category_slug": "ai-sdr-agents", "category_label": "AI SDRs", "heading": "MadKudu", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 262 }, { "id": "04-qualified", "slug": "qualified", "normalized_name": "qualified", "name": "Qualified (Piper)", "vendor_url": "qualified.com", "category": "ai-sdr-agents", "what_it_does": "A conversational AI agent (\"Piper\") that engages inbound website visitors in real time (text/voice/video chat), sends follow-up nurture emails, and books meetings for qualified visitors.", "ai_features": "Real-time buyer-intent engagement and meeting-booking logic are agent-driven; this is an inbound/conversational agent, not an outbound prospecting one, a meaningfully different job than most other entries in this category despite the \"AI SDR\" label.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "enterprise-only - see canonical entry in 14-inbound-plg-chat.md", "revops_role": "Cross-reference only. The canonical Qualified entry lives in 14-inbound-plg-chat.md; it is listed here because Piper carries the \"AI SDR\" label, but it sits on the marketing website converting inbound traffic rather than prospecting outbound.", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://www.qualified.com/, https://www.qualified.com/ai-sdr, https://qualified.com/pricing", "notes": "DEFECT FIXED 2026-08-25. CROSS-REFERENCE ONLY - the canonical entry is \"Qualified\" in 14-inbound-plg-chat.md and fact fixes land there first. This entry previously recorded api_gate as \"unknown - page references Integrations & API with no public docs link or self-serve tier found,\" which was an under-researched pass over the same public evidence and conflicted with the canonical entry. Corrected to enterprise-only: the pricing page lists three tiers (Premier, Enterprise, Ultimate) all gated behind \"Schedule a demo,\" and \"Enterprise-Grade APIs\" is reserved for Enterprise and above. Downgrading this to a pointer removes the conflict permanently rather than syncing two copies that will drift again. Important distinction for the directory: Piper is inbound-conversion, not outbound prospecting; do not conflate with 11x/Artisan-style tools when comparing.", "mcp_status_bucket": "none-found", "api_gate_bucket": "enterprise-only", "mcp_urls": [], "source_urls": [ "https://www.qualified.com/", "https://www.qualified.com/ai-sdr", "https://qualified.com/pricing" ], "source_annotations": [], "vendor_domain": "qualified.com", "display_name": "Qualified (Piper)", "docs_url": null, "jobs": [ "run-email-sequence", "draft-personalized-outreach", "run-autonomous-sdr-agent", "book-a-meeting", "answer-inbound-chat", "score-and-prioritize-leads" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": false, "canonical_id": "14-qualified", "also_listed_in": [ { "id": "14-qualified", "name": "Qualified", "category_num": "14", "category_slug": "inbound-plg-chat", "source_file": "14-inbound-plg-chat.md", "canonical": true } ], "source_file": "04-ai-sdr-agents.md", "source_line": 49, "file_index": 2, "category_num": "04", "category_slug": "ai-sdr-agents", "category_label": "AI SDRs", "heading": "Qualified (Piper)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 226 }, { "id": "04-regie-ai", "slug": "regie-ai", "normalized_name": "regie ai", "name": "Regie.ai", "vendor_url": "https://www.regie.ai", "category": "ai-sdr-agents", "what_it_does": "An AI agent that sources prospects and buying signals, writes messages trained on the user's voice/pitch, and runs multi-channel (email, LinkedIn, phone) sequences with automated follow-up.", "ai_features": "Signal detection (\"why-now\" triggers) and voice-trained message generation are the agentic core; \"prompt Regie once and it handles sourcing, ranking, call prep, and follow-ups\" is vendor copy describing an orchestration layer, not independently verified as autonomous decision-making.", "mcp_status": "none-found", "mcp_url": null, "mcp_auth": "n/a", "api_gate": "paid, self-serve — Free tier (250 one-time credits, no card), Pro $49/mo (5,000 credits/mo), Enterprise custom; no dedicated API tier advertised on the pricing page", "revops_role": "Sequencing/content layer that plugs into an existing CRM + dialer stack rather than replacing it.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.regie.ai, https://www.regie.ai/pricing", "notes": "Genuine free tier with no credit card — rare in this category and worth flagging for a solo-operator audience.", "mcp_status_bucket": "none-found", "api_gate_bucket": "paid", "mcp_urls": [], "source_urls": [ "https://www.regie.ai", "https://www.regie.ai/pricing" ], "source_annotations": [], "vendor_domain": "regie.ai", "display_name": "Regie.ai", "docs_url": null, "jobs": [ "search-people-by-criteria", "fetch-buyer-intent-signals", "run-email-sequence", "send-linkedin-message", "draft-personalized-outreach", "place-outbound-call", "run-autonomous-sdr-agent" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "04-regie-ai", "also_listed_in": [], "source_file": "04-ai-sdr-agents.md", "source_line": 87, "file_index": 4, "category_num": "04", "category_slug": "ai-sdr-agents", "category_label": "AI SDRs", "heading": "Regie.ai", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 208 }, { "id": "04-relevance-ai", "slug": "relevance-ai", "normalized_name": "relevance ai", "name": "Relevance AI", "vendor_url": "https://relevanceai.com", "category": "ai-sdr-agents", "what_it_does": "A platform for building and deploying specialist AI agents (research/enrichment, outbound prospecting, meeting scheduling, deal review, proposal building) that teams configure and progress toward autonomous (\"L3 Autopilot\") operation.", "ai_features": "Genuinely a build-your-own-agent platform rather than a single packaged persona — the agentic depth depends entirely on what the operator configures; the \"96.4% eval pass rate\" and \"L3 Autopilot\" framing are vendor-reported metrics, not independently verified.", "mcp_status": "official", "mcp_url": "https://relevanceai.com/docs/integrations/mcp/programmatic-gtm/introduction", "mcp_auth": "OAuth (tokens may expire after inactivity; re-auth via login flow); Viewer/Chat project roles get restricted read-only access automatically", "api_gate": "free — the MCP server and Claude Code plugin are free to connect; usage (agent runs, tool executions) bills against the operator's Relevance AI plan", "revops_role": "Agent-building layer that can sit anywhere in the stack depending on configuration — closer to infrastructure than a packaged point solution.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://relevanceai.com, https://marketplace.relevanceai.com/, https://relevanceai.com/docs/integrations/mcp/programmatic-gtm/introduction", "notes": "The seed list named this tool's SDR agent \"Bosh\" — that name could not be found anywhere on the current site or marketplace (agent templates found instead: \"Outbound Prospector,\" \"Sales Researcher,\" \"Perfect 5 Leads,\" etc.). Either renamed, deprecated, or misremembered — flag as unconfirmed. This is one of the very few tools in this category with a confirmed, solo-operator-accessible official MCP — a strong bench-test candidate.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://relevanceai.com/docs/integrations/mcp/programmatic-gtm/introduction" ], "source_urls": [ "https://relevanceai.com", "https://marketplace.relevanceai.com/", "https://relevanceai.com/docs/integrations/mcp/programmatic-gtm/introduction" ], "source_annotations": [], "vendor_domain": "relevanceai.com", "display_name": "Relevance AI", "docs_url": null, "jobs": [], "jobs_tagged_by": null, "jobs_tagged_on": null, "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "04-relevance-ai", "also_listed_in": [], "source_file": "04-ai-sdr-agents.md", "source_line": 163, "file_index": 8, "category_num": "04", "category_slug": "ai-sdr-agents", "category_label": "AI SDRs", "heading": "Relevance AI", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 30 }, { "id": "04-reply-io", "slug": "reply-io", "normalized_name": "reply io", "name": "Reply.io (Jason AI)", "vendor_url": "https://reply.io", "category": "ai-sdr-agents", "what_it_does": "A multichannel sales engagement platform whose AI layer (\"Jason AI,\" per widely reported branding) generates outreach emails/follow-ups and automates sequencing across email, calls, and tasks.", "ai_features": "AI-assisted email generation and follow-up automation are the confirmed AI pieces (per a fetchable Product Hunt listing); could not directly verify current \"Jason AI\" branding or booking/reply-handling autonomy from the vendor's own site, which blocked automated fetching on every attempt this pass.", "mcp_status": "none-found", "mcp_url": null, "mcp_auth": "n/a", "api_gate": "unknown — could not reach pricing/API docs directly this pass (reply.io returned 403 to automated fetches)", "revops_role": "Multichannel outbound sequencing tool, one of the longer-established players in this category (predates the \"AI SDR\" branding wave).", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.producthunt.com/products/reply-io", "notes": "Sourcing gap flagged honestly: reply.io's own marketing pages (including /jason-ai/) returned HTTP 403 to every automated fetch attempt this pass, so this entry leans on a secondary source. Re-verify directly before bench-testing.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.producthunt.com/products/reply-io" ], "source_annotations": [], "vendor_domain": "reply.io", "display_name": "Reply.io (Jason AI)", "docs_url": null, "jobs": [ "run-email-sequence", "send-linkedin-message", "draft-personalized-outreach", "place-outbound-call", "run-autonomous-sdr-agent", "warm-up-inbox" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": false, "canonical_id": "02-reply-io", "also_listed_in": [ { "id": "02-reply-io", "name": "Reply.io", "category_num": "02", "category_slug": "engagement-outbound", "source_file": "02-engagement-outbound.md", "canonical": true } ], "source_file": "04-ai-sdr-agents.md", "source_line": 182, "file_index": 9, "category_num": "04", "category_slug": "ai-sdr-agents", "category_label": "AI SDRs", "heading": "Reply.io (Jason AI)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 273 }, { "id": "04-rox", "slug": "rox", "normalized_name": "rox", "name": "Rox", "vendor_url": "https://www.rox.com", "category": "ai-sdr-agents", "what_it_does": "An AI-powered revenue automation platform for enterprise sales teams, positioned as an autonomous SDR-style agent handling pipeline generation, lead qualification, meeting booking, deal management, and account expansion \"on autopilot.\"", "ai_features": "Site copy explicitly caveats that \"autopilot\"/\"autonomous\" features operate within user-defined parameters and require initial configuration and ongoing oversight — a rare instance of a vendor undercutting its own hype in the fine print; treat the headline autonomy claims as partially self-qualified.", "mcp_status": "none-found", "mcp_url": null, "mcp_auth": "n/a", "api_gate": "unknown — built for \"the Global 2000,\" no self-serve signup found; strongly enterprise-oriented positioning", "revops_role": "Full-cycle revenue automation for large enterprise sales orgs — not sized or priced for a solo operator based on available signals.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.rox.com", "notes": "Rox has built something called \"Rox Tether,\" described on their site (dated July 29, 2026) as an \"Agentic UI alternative to MCP Apps, A2UI or ChatGPT Apps\" — i.e., Rox is positioning against MCP-style integration patterns rather than shipping an MCP server. Worth a dedicated look for category 7 (mcp-infrastructure) as a competitor/alternative protocol, not as an MCP itself.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.rox.com" ], "source_annotations": [], "vendor_domain": "rox.com", "display_name": "Rox", "docs_url": null, "jobs": [ "run-autonomous-sdr-agent", "book-a-meeting", "score-and-prioritize-leads" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "04-rox", "also_listed_in": [], "source_file": "04-ai-sdr-agents.md", "source_line": 315, "file_index": 16, "category_num": "04", "category_slug": "ai-sdr-agents", "category_label": "AI SDRs", "heading": "Rox", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 276 }, { "id": "04-salesforce-agentforce", "slug": "salesforce-agentforce", "normalized_name": "salesforce agentforce", "name": "Salesforce Agentforce (SDR Agent)", "vendor_url": "https://www.salesforce.com/agentforce/", "category": "ai-sdr-agents", "what_it_does": "A prebuilt agent within Salesforce's Agentforce platform intended to handle inbound lead engagement and outbound prospecting conversations natively inside Sales Cloud, escalating to a human rep once a prospect is ready.", "ai_features": "Could not independently verify the SDR Agent's specific mechanics (research/write/send/book split) from vendor sources this pass — salesforce.com and multiple third-party press/analyst domains (Reuters, CRMBuyer, SalesforceBen, Forbes) all returned 403/404 to automated fetches. What's confirmed via Wikipedia: Agentforce is Salesforce's agentic-AI platform (successor to Einstein), deployed Sept–Oct 2024, with company-level claims that AI performs \"30–50% of internal work\" at Salesforce.", "mcp_status": "none-found", "mcp_url": null, "mcp_auth": "n/a", "api_gate": "enterprise-only — Agentforce sits inside the Salesforce platform; general Salesforce API/metadata access has multiple community MCP servers (e.g. github.com/PranavNagrecha/AwesomeSalesforceSkills, github.com/semwalajay83-sem/salesforce-metadata-mcp), but none found that are official or specific to the SDR Agent itself", "revops_role": "Native-platform AI SDR for shops already committed to Salesforce Sales Cloud; not a standalone tool a solo operator would adopt independent of the CRM.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://en.wikipedia.org/wiki/Agentforce", "notes": "Weakest sourcing in this file — salesforce.com blocked automated access on every path tried (root, product pages, press releases, help docs), as did several third-party press outlets. Facts here are confirmed at the platform level only, not the SDR-Agent-specific level. Flag for manual re-verification before publishing any specific capability or pricing claim.", "mcp_status_bucket": "none-found", "api_gate_bucket": "enterprise-only", "mcp_urls": [], "source_urls": [ "https://en.wikipedia.org/wiki/Agentforce" ], "source_annotations": [], "vendor_domain": "salesforce.com", "display_name": "Salesforce Agentforce (SDR Agent)", "docs_url": null, "jobs": [ "run-autonomous-sdr-agent", "answer-inbound-chat", "read-crm-records", "write-crm-records", "run-automation-workflow" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": false, "canonical_id": "06-salesforce-agentforce", "also_listed_in": [ { "id": "06-salesforce-agentforce", "name": "Salesforce (core CRM/platform) + Agentforce", "category_num": "06", "category_slug": "revops-infra", "source_file": "06-revops-infra.md", "canonical": true } ], "source_file": "04-ai-sdr-agents.md", "source_line": 220, "file_index": 11, "category_num": "04", "category_slug": "ai-sdr-agents", "category_label": "AI SDRs", "heading": "Salesforce Agentforce (SDR Agent)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 227 }, { "id": "04-salesforge", "slug": "salesforge", "normalized_name": "salesforge", "name": "Salesforge (Agent Frank)", "vendor_url": "https://www.salesforge.ai", "category": "ai-sdr-agents", "what_it_does": "An AI agent (\"Agent Frank\") that prospects, writes tailored outreach, sends across email and LinkedIn, manages follow-up sequences, and books meetings — positioned to either join a human team or fully replace one rep.", "ai_features": "Multi-channel (email + LinkedIn) coordinated outreach is confirmed; \"modelled after top 1% sales reps\" and \"the most superior agent on the market\" are unverified vendor superlatives — treat as marketing, not fact.", "mcp_status": "official", "mcp_url": "https://help.salesforge.ai/en/articles/10333582-salesforge-mcp-server-connect-with-ai-assistants", "mcp_auth": "unknown specifics (help article confirms an official MCP server \"to connect with AI assistants\" alongside API and CLI access, but exact auth flow not disclosed on the pages reached this pass)", "api_gate": "paid — REST API and CLI both listed as access methods alongside the MCP server; no free/self-serve tier confirmed, pricing not disclosed on pages reached", "revops_role": "Full-cycle outbound execution agent, competing directly with Artisan/11x/AiSDR; distinguishes itself with a public, named MCP server plus CLI as integration surfaces.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.salesforge.ai, https://help.salesforge.ai/en/articles/10333582-salesforge-mcp-server-connect-with-ai-assistants", "notes": "One of the few AI-SDR-proper tools (not a platform or infra layer) in this pass with a confirmed official MCP server — worth flagging for the show.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://help.salesforge.ai/en/articles/10333582-salesforge-mcp-server-connect-with-ai-assistants" ], "source_urls": [ "https://www.salesforge.ai", "https://help.salesforge.ai/en/articles/10333582-salesforge-mcp-server-connect-with-ai-assistants" ], "source_annotations": [], "vendor_domain": "salesforge.ai", "display_name": "Salesforge (Agent Frank)", "docs_url": null, "jobs": [ "run-email-sequence", "send-linkedin-message", "draft-personalized-outreach", "run-autonomous-sdr-agent" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": false, "canonical_id": "02-salesforge", "also_listed_in": [ { "id": "02-salesforge", "name": "Salesforge", "category_num": "02", "category_slug": "engagement-outbound", "source_file": "02-engagement-outbound.md", "canonical": true } ], "source_file": "04-ai-sdr-agents.md", "source_line": 372, "file_index": 19, "category_num": "04", "category_slug": "ai-sdr-agents", "category_label": "AI SDRs", "heading": "Salesforge (Agent Frank)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 89 }, { "id": "04-terret", "slug": "terret", "normalized_name": "terret", "name": "Terret (BoostUp)", "vendor_url": "https://www.terret.ai (login portal at app.boostup.ai)", "category": "ai-sdr-agents", "what_it_does": "A revenue-intelligence platform (\"answer-to-action\" engine) that analyzes call recordings and deal data to find winning patterns, generates sales playbooks, and pushes pre-call briefs/deal alerts/suggested talk tracks to reps in Slack — with some automated outreach-sequence drafting.", "ai_features": "Pattern analysis across calls/deals and automatic playbook generation are the confirmed AI pieces; \"self-configuring agents\" is vendor copy not independently verified. This is much closer to conversation-intelligence + forecasting than to outbound AI-SDR execution.", "mcp_status": "none-found", "mcp_url": null, "mcp_auth": "n/a", "api_gate": "unknown — no pricing found; a \"48-hour proof of concept\" is offered free via a booked demo", "revops_role": "Revenue-intelligence/forecasting layer (product suite includes Terret Nexus, Terret Forecast, Terret Conversation Intelligence) — arguably better filed under conversation-intel (category 3) than AI SDR agents.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.terret.ai", "notes": "SWEEP FLAG — the product's login portal is at app.boostup.ai, strongly indicating Terret is a rebrand (or sub-brand) of BoostUp, an established revenue-intelligence/forecasting vendor. Included because the seed list named it explicitly, but its category fit here is weak — it's not an outbound prospecting agent.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.terret.ai" ], "source_annotations": [], "vendor_domain": "terret.ai", "display_name": "Terret (BoostUp)", "docs_url": null, "jobs": [ "research-account-for-call-prep", "draft-personalized-outreach", "extract-deal-signals-from-calls", "read-pipeline-forecast" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "04-terret", "also_listed_in": [], "source_file": "04-ai-sdr-agents.md", "source_line": 334, "file_index": 17, "category_num": "04", "category_slug": "ai-sdr-agents", "category_label": "AI SDRs", "heading": "Terret (BoostUp)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 282 }, { "id": "04-tofu", "slug": "tofu", "normalized_name": "tofu", "name": "Tofu", "vendor_url": "https://www.tofuhq.com", "category": "ai-sdr-agents", "what_it_does": "A campaign-automation platform (\"Agentic GTM\") that runs always-on, personalized outbound/nurture/re-engagement campaigns inside an existing CRM and sales-engagement stack, rather than acting as a standalone prospecting agent.", "ai_features": "Personalization-at-scale within pre-built campaign structures is the AI piece; \"agentic GTM that builds pipeline\" framing overstates what looks, from the public site, like structured campaign orchestration rather than freeform autonomous decision-making.", "mcp_status": "none-found", "mcp_url": null, "mcp_auth": "n/a", "api_gate": "unknown — no public pricing or API docs found on this pass", "revops_role": "Campaign orchestration layer that sits alongside Outreach/Salesloft/HubSpot rather than replacing an SDR's day-to-day prospecting.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.tofuhq.com", "notes": "Caution: the bare domain tofu.ai is a parked/for-sale domain, not the vendor — the real site is tofuhq.com. Fits this category loosely; it reads closer to a content/campaign engine than an autonomous SDR agent, which is itself a useful data point about label inflation in this space.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.tofuhq.com" ], "source_annotations": [], "vendor_domain": "tofuhq.com", "display_name": "Tofu", "docs_url": null, "jobs": [ "run-email-sequence", "draft-personalized-outreach", "run-automation-workflow" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "04-tofu", "also_listed_in": [], "source_file": "04-ai-sdr-agents.md", "source_line": 125, "file_index": 6, "category_num": "04", "category_slug": "ai-sdr-agents", "category_label": "AI SDRs", "heading": "Tofu", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 283 }, { "id": "04-trellus-ai", "slug": "trellus-ai", "normalized_name": "trellus ai", "name": "Trellus AI", "vendor_url": "https://trellus.ai", "category": "ai-sdr-agents", "what_it_does": "A hybrid AI calling platform: a parallel dialer embedded in Salesloft/Outreach/HubSpot with real-time AI coaching for live reps, plus separate fully-autonomous voice agents for inbound call handling, appointment setting, and FAQ response.", "ai_features": "Important and explicit distinction confirmed on the vendor's own site: outbound cold-calling is NOT autonomous — Trellus augments a human dialer with live coaching and parallel-line dialing; only inbound call handling uses fully autonomous voice agents. This is one of the more honest vendor self-descriptions found in this pass.", "mcp_status": "none-found", "mcp_url": null, "mcp_auth": "n/a", "api_gate": "unknown — no pricing/API docs found on this pass", "revops_role": "Calling/dialing augmentation layer that sits inside an existing sales-engagement platform rather than replacing one.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://trellus.ai", "notes": "Worth citing specifically as a counterexample to the category's hype: Trellus's own marketing explicitly says it does not autonomously cold-call, which is a useful contrast against vendors that imply full autonomy for the same job.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://trellus.ai" ], "source_annotations": [], "vendor_domain": "trellus.ai", "display_name": "Trellus AI", "docs_url": null, "jobs": [ "place-outbound-call", "book-a-meeting", "answer-inbound-chat", "score-rep-performance" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "04-trellus-ai", "also_listed_in": [], "source_file": "04-ai-sdr-agents.md", "source_line": 429, "file_index": 22, "category_num": "04", "category_slug": "ai-sdr-agents", "category_label": "AI SDRs", "heading": "Trellus AI", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 284 }, { "id": "04-unify", "slug": "unify", "normalized_name": "unify", "name": "Unify", "vendor_url": "https://www.unifygtm.com", "category": "ai-sdr-agents", "what_it_does": "A hybrid signals-plus-agent platform: AI agents build targeted account/prospect lists from 40+ data sources, write personalized outbound copy, and run multi-channel sequences triggered by intent signals (\"plays\").", "ai_features": "List-building from combined signals (job changes, funding, hiring, web visits, tech stack) and copywriting are AI-driven; \"your agent knows your CRM, your data, and how you sell\" is vendor copy for a chat-based orchestration layer, not verified as autonomous end-to-end execution.", "mcp_status": "community", "mcp_url": "https://github.com/footcarts/unify-mcp", "mcp_auth": "Auth0 browser sign-in (auth.unifygtm.com); MCP caches the session cookie (~30-day life) rather than a refresh token — no password or key ever passed to the MCP client", "api_gate": "paid, self-serve for the app (Free/$0, Base $20/seat/mo, Pro $60/seat/mo); \"Open API + webhooks\" is gated to the custom-priced Business tier only", "revops_role": "Combined signals-intent + outbound-execution layer — overlaps with both category 4 and category 5 (signals-intent-abm) in this directory.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.unifygtm.com, https://www.unifygtm.com/pricing, https://github.com/footcarts/unify-mcp", "notes": "The MCP is an unaffiliated, community-maintained repo (0 stars, ~12 commits as of this check) — functional-looking but not vendor-backed; don't represent it as official to a reader. Official API is enterprise-gated even though the app itself is self-serve down to $0.", "mcp_status_bucket": "community", "api_gate_bucket": "paid", "mcp_urls": [ "https://github.com/footcarts/unify-mcp" ], "source_urls": [ "https://www.unifygtm.com", "https://www.unifygtm.com/pricing", "https://github.com/footcarts/unify-mcp" ], "source_annotations": [], "vendor_domain": "unifygtm.com", "display_name": "Unify", "docs_url": null, "jobs": [ "search-people-by-criteria", "build-target-account-list", "fetch-buyer-intent-signals", "track-job-changes", "detect-technographics", "detect-funding-or-news-event", "run-email-sequence", "draft-personalized-outreach" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/footcarts/unify-mcp", "https://github.com/footcarts/unify-mcp" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "04-unify", "also_listed_in": [], "source_file": "04-ai-sdr-agents.md", "source_line": 106, "file_index": 5, "category_num": "04", "category_slug": "ai-sdr-agents", "category_label": "AI SDRs", "heading": "Unify", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 155 }, { "id": "05-6sense", "slug": "6sense", "normalized_name": "6sense", "name": "6sense", "vendor_url": "https://6sense.com", "category": "signals-intent-abm", "what_it_does": "Detects B2B buying intent by combining IP-based website deanonymization, a proprietary third-party intent/content-consumption network (\"Signalverse\"), and first-party CRM/MAP/product data to flag in-market accounts and identify individual buyers researching a purchase.", "ai_features": "The core account/buying-stage scoring is a proprietary ML model trained on ~13 years of behavioral data — a genuine ML claim. \"RevvyAI\" is an LLM chat layer for querying already-computed scores, not a new signal source; treat it as an interface, not discovery.", "mcp_status": "official", "mcp_url": "https://6sense.com/platform/mcp-server/ ; https://support.6sense.com/docs/6sense-model-context-protocol-mcp-1", "mcp_auth": "OAuth using existing 6sense platform login (no separate API key setup per vendor docs)", "api_gate": "enterprise-only", "revops_role": "Top-of-funnel account prioritization and predictive scoring engine feeding CRM/MAP and ad platforms.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://6sense.com/platform/mcp-server/, https://support.6sense.com/docs/6sense-model-context-protocol-mcp-1, https://6sense.com/blog/apis-and-mcp/, https://6sense.com/newsroom/6sense-launches-mcp-server-bringing-proprietary-gtm-intelligence-into-any-ai-agent/, https://support.6sense.com/docs/api-credits-api-tokens", "notes": "MCP launched in open beta ~July 2026. No published pricing or self-serve signup found — homepage offers \"Book a Demo\" only. API credit pools (Company ID, Enrichment) are purchased separately from platform seats through a CSM.", "mcp_status_bucket": "official", "api_gate_bucket": "enterprise-only", "mcp_urls": [ "https://6sense.com/platform/mcp-server/", "https://support.6sense.com/docs/6sense-model-context-protocol-mcp-1" ], "source_urls": [ "https://6sense.com/platform/mcp-server/", "https://support.6sense.com/docs/6sense-model-context-protocol-mcp-1", "https://6sense.com/blog/apis-and-mcp/", "https://6sense.com/newsroom/6sense-launches-mcp-server-bringing-proprietary-gtm-intelligence-into-any-ai-agent/", "https://support.6sense.com/docs/api-credits-api-tokens" ], "source_annotations": [], "vendor_domain": "6sense.com", "display_name": "6sense", "docs_url": null, "jobs": [ "build-target-account-list", "identify-anonymous-website-visitor", "fetch-buyer-intent-signals", "score-and-prioritize-leads" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "05-6sense", "also_listed_in": [], "source_file": "05-signals-intent-abm.md", "source_line": 14, "file_index": 0, "category_num": "05", "category_slug": "signals-intent-abm", "category_label": "Signals & Intent", "heading": "6sense", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 104 }, { "id": "05-albacross", "slug": "albacross", "normalized_name": "albacross", "name": "Albacross", "vendor_url": "https://albacross.com", "category": "signals-intent-abm", "what_it_does": "Identifies which companies visit a website via IP-to-company matching, tracks on-site and off-site behavioral/intent signals, and enriches identified companies with firmographic data and optional verified contact email/phone credits.", "ai_features": "Vendor markets \"AI Powered Segmentation\" and \"AI Powered Leads Insights\" described as automatically grouping visitors by behavior/engagement/intent — no model details disclosed; reads as rules-based behavioral scoring/classification, not confirmed deep learning or LLM work.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "paid", "revops_role": "Visitor ID + intent-based segmentation + lightweight contact enrichment feeding CRM or outbound tooling.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://albacross.com/, https://albacross.com/pricing/, https://github.com/albacross", "notes": "GitHub org (github.com/albacross) exists but contains only internal/task repos (microservice-typescript-task, gtm-tracking, gtm-reveal) — nothing MCP-related. Self-serve, 14-day free trial, no card required. Starter €59/mo (up to 100 companies/mo, 10 email + 5 phone credits), Professional €149/mo (up to 500 companies); 500+ requires \"Book a Demo.\"", "mcp_status_bucket": "none-found", "api_gate_bucket": "paid", "mcp_urls": [], "source_urls": [ "https://albacross.com/", "https://albacross.com/pricing/", "https://github.com/albacross" ], "source_annotations": [], "vendor_domain": "albacross.com", "display_name": "Albacross", "docs_url": null, "jobs": [ "enrich-company-from-domain", "find-work-email", "find-phone-number", "identify-anonymous-website-visitor", "fetch-buyer-intent-signals" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/albacross" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "05-albacross", "also_listed_in": [], "source_file": "05-signals-intent-abm.md", "source_line": 396, "file_index": 16, "category_num": "05", "category_slug": "signals-intent-abm", "category_label": "Signals & Intent", "heading": "Albacross", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 185 }, { "id": "05-bombora", "slug": "bombora", "normalized_name": "bombora", "name": "Bombora (Company Surge)", "vendor_url": "https://bombora.com", "category": "signals-intent-abm", "what_it_does": "Detects which companies are actively researching specific B2B topics by aggregating content-consumption data (article reads, downloads) across a co-op of 5,000+ B2B publisher sites, then measures spikes in a company's topic-research volume relative to its own baseline.", "ai_features": "Vendor states it uses BERT-based ML to map content to topics/intent semantically rather than keyword matching, and holds patents on measuring intent-change via ML — one of the more credible \"real ML\" claims in the category, though it's still fundamentally a scored data-aggregation product, not an agent.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "enterprise-only", "revops_role": "Upstream intent-data supplier — consumed as a feed inside other ABM/intent platforms (6sense, Demandbase, Warmly all integrate it) rather than used as a standalone tool.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://bombora.com/products/company-surge/, https://pipeline.zoominfo.com/sales/bombora-pricing, https://www.docket.io/resources/research/bombora-pricing, https://www.g2.com/products/bombora-company-surge/pricing, https://marketbetter.ai/blog/bombora-pricing-breakdown-2026/", "notes": "Searched \"Bombora MCP server/github\" plus mcp.so/glama.ai/pulsemcp.com — nothing found. Sales-led, custom-quote pricing; third-party writeups peg entry contracts around $25-30K/yr with API access as a $5-20K/yr add-on. Company-level only, no individual researcher identification, weekly refresh.", "mcp_status_bucket": "none-found", "api_gate_bucket": "enterprise-only", "mcp_urls": [], "source_urls": [ "https://bombora.com/products/company-surge/", "https://pipeline.zoominfo.com/sales/bombora-pricing", "https://www.docket.io/resources/research/bombora-pricing", "https://www.g2.com/products/bombora-company-surge/pricing", "https://marketbetter.ai/blog/bombora-pricing-breakdown-2026/" ], "source_annotations": [], "vendor_domain": "bombora.com", "display_name": "Bombora (Company Surge)", "docs_url": null, "jobs": [ "fetch-buyer-intent-signals" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "05-bombora", "also_listed_in": [], "source_file": "05-signals-intent-abm.md", "source_line": 63, "file_index": 2, "category_num": "05", "category_slug": "signals-intent-abm", "category_label": "Signals & Intent", "heading": "Bombora", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 213 }, { "id": "05-centralize", "slug": "centralize", "normalized_name": "centralize", "name": "Centralize", "vendor_url": "usecentralize.com", "category": "signals-intent-abm", "what_it_does": "A relationship-intelligence and account-mapping tool that builds org charts and buying-committee maps for a rep's accounts automatically from their own CRM, email, calendar, and call data, then flags coverage gaps and warm paths into the account.", "ai_features": "\"Centra\" is described as an AI account strategist that answers questions like \"who actually owns the budget\" and drafts prioritised outreach; the org-chart construction itself is entity resolution and graph-building over first-party comms data rather than generative AI. All capability claims are vendor-stated and were not independently verified.", "mcp_status": "unknown", "mcp_url": "none locatable. The vendor's own pricing page lists \"MCP access\" as a named feature of the Pro tier ($49/user/month), which is a first-party claim that an MCP exists: https://www.usecentralize.com/pricing. But no server endpoint, docs page, or setup instructions could be found this pass. usecentralize.com/mcp and usecentralize.com/docs both return HTTP 404, the homepage does not mention MCP, and PulseMCP, Glama, Smithery, mcp.so and GitHub searches returned nothing. Per SCHEMA law 1 an MCP claim requires a URL, so this is recorded as unknown with the pricing page as the evidence of the claim, not as official.", "mcp_auth": "unknown - no setup documentation found.", "api_gate": "free (for the base product). Free tier is $0/month with 5 standard accounts, automatic org charts and account maps, LinkedIn warm-connection sync, Chrome extension, and email and calendar integrations, with no credit card required and every new signup getting 30 days of Pro. Pro is $49/user/month and is the tier that carries MCP access, Centra, AI priorities and drafted outreach, 50 standard plus 5 smart accounts, and 1,000 email plus 100 phone enrichment credits. Enterprise is custom and adds the Salesforce integration, call-recorder and sequencer integrations, SSO and MFA. NOTE: no REST API is mentioned on any tier.", "revops_role": "Buying-committee and relationship map over the accounts a rep already owns; it consumes first-party comms data rather than selling third-party contact data, so it complements an enrichment vendor rather than replacing one.", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://www.usecentralize.com/, https://www.usecentralize.com/pricing, https://www.businesswire.com/news/home/20260729724558/en/Centralize-Raises-19M-Led-by-NEA-to-Bring-Relationship-Intelligence-to-the-Core-of-Enterprise-Sales, https://www.ycombinator.com/launches/LUE-centralize-ai-powered-org-charts-for-enterprise-sales", "notes": "Added 2026-08-25 from a direct pointer that Centralize had just launched a self-service product. Confirmed: Businesswire, dated 2026-07-29, reports $19M led by NEA with Salesforce Ventures, Y Combinator, 20SALES, Ritual Capital and Adverb Ventures participating, announced alongside a free tier that any seller can sign up for. Named integrations: Salesforce, Slack, Gmail, Outlook, Google Calendar, Notion, Gong. SOC 2 Type 2 per the release. THE INTERESTING FACT HERE, and it is a content beat: this is the first entry in the directory where a vendor SELLS \"MCP access\" as a line item on a public pricing page while publishing no server URL, no docs, and no registry listing. That is the inverse of the usual failure mode (a server that exists but is undiscoverable) and it is exactly the case the two-tier honesty rule exists to handle. Re-check on the next sweep; if a server URL appears, this flips to official. CROSS-REFERENCE: The Swarm (01-data-enrichment.md) covers the same warm-path job from the opposite direction, selling a 500M-profile third-party relationship graph rather than mapping the customer's own data.", "mcp_status_bucket": "unknown", "api_gate_bucket": "free", "mcp_urls": [ "https://www.usecentralize.com/pricing" ], "source_urls": [ "https://www.usecentralize.com/", "https://www.usecentralize.com/pricing", "https://www.businesswire.com/news/home/20260729724558/en/Centralize-Raises-19M-Led-by-NEA-to-Bring-Relationship-Intelligence-to-the-Core-of-Enterprise-Sales", "https://www.ycombinator.com/launches/LUE-centralize-ai-powered-org-charts-for-enterprise-sales" ], "source_annotations": [], "vendor_domain": "usecentralize.com", "display_name": "Centralize", "docs_url": "(none found - no docs, developers, or api subdomain or path resolves)", "jobs": [ "discover-warm-intro-paths", "research-account-for-call-prep", "draft-personalized-outreach" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "05-centralize", "also_listed_in": [], "source_file": "05-signals-intent-abm.md", "source_line": 573, "file_index": 24, "category_num": "05", "category_slug": "signals-intent-abm", "category_label": "Signals & Intent", "heading": "Centralize", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 165 }, { "id": "05-champify", "slug": "champify", "normalized_name": "champify", "name": "Champify", "vendor_url": "https://www.champify.io", "category": "signals-intent-abm", "what_it_does": "Tracks job changes of a company's past customers and champions as they move to new roles/companies, and flags closed-lost opportunities for re-engagement, integrated directly into Salesforce.", "ai_features": "\"Insider AI\" is marketed as synthesizing call transcripts, emails, and CRM data to recommend who/when/how to re-engage — plausible LLM synthesis, but no methodology is disclosed publicly, so treat as an unverified vendor claim. The core job-change detection itself is plain matching, not ML.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "enterprise-only", "revops_role": "Champion-tracking / warm-outbound trigger tool, a near-direct competitor to UserGems with the same product shape.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.champify.io/pricing, https://www.champify.io/, https://www.trustradius.com/products/champify/pricing, https://prospectingmanual.com/ai-automation/compare/usergems-vs-champify/, https://www.vendr.com/buyer-guides/champify", "notes": "Searched GitHub, mcp.so, glama.ai, pulsemcp.com — no MCP found. Published tiers $2,000-$6,000/mo (annual contracts standard); no self-serve signup, pricing page only offers \"Get Demo\"/\"Request Data Test.\" Vendr reports median actual spend of $15,750/yr (n=11), below list price.", "mcp_status_bucket": "none-found", "api_gate_bucket": "enterprise-only", "mcp_urls": [], "source_urls": [ "https://www.champify.io/pricing", "https://www.champify.io/", "https://www.trustradius.com/products/champify/pricing", "https://prospectingmanual.com/ai-automation/compare/usergems-vs-champify/", "https://www.vendr.com/buyer-guides/champify" ], "source_annotations": [], "vendor_domain": "champify.io", "display_name": "Champify", "docs_url": null, "jobs": [ "track-job-changes" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "05-champify", "also_listed_in": [], "source_file": "05-signals-intent-abm.md", "source_line": 111, "file_index": 4, "category_num": "05", "category_slug": "signals-intent-abm", "category_label": "Signals & Intent", "heading": "Champify", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 214 }, { "id": "05-clearbit-reveal", "slug": "clearbit-reveal", "normalized_name": "clearbit reveal", "name": "Clearbit Reveal (rebranded: HubSpot Breeze Intelligence)", "vendor_url": "https://clearbit.com (redirects into hubspot.com)", "category": "signals-intent-abm", "what_it_does": "Identifies companies visiting a website via IP-to-company matching, then enriches contact/company CRM records with firmographic data (employee count, revenue, tech stack, location) and surfaces buying-intent signals like pricing-page visits.", "ai_features": "No disclosed AI/ML claims found for the core identification/enrichment engine on current vendor pages — classic IP-database matching plus rules-based enrichment. HubSpot's broader \"Breeze\" branding implies AI, but Breeze Intelligence's own visitor-ID/enrichment mechanism is not described as AI-driven.", "mcp_status": "none-found", "mcp_url": "none — HubSpot has a general-purpose \"HubSpot MCP Client\" (docs: https://knowledge.hubspot.com/integrations/customize-breeze-agents-with-hubspot-mcp-client) letting Breeze Agents pull data from third-party connectors, but that documentation makes no mention of Breeze Intelligence/Clearbit visitor data being exposed through it.", "mcp_auth": "n/a", "api_gate": "paid", "revops_role": "Visitor ID + firmographic enrichment + basic intent signal layer, now embedded inside the HubSpot CRM/Breeze ecosystem rather than sold as a standalone point solution.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://clearbit.com/, https://www.hubspot.com/products/clearbit, https://knowledge.hubspot.com/integrations/customize-breeze-agents-with-hubspot-mcp-client, https://knowledge.hubspot.com/account-management/understand-hubspot-credits-and-billing", "notes": "Clearbit is no longer sold standalone (\"working hard to integrate Clearbit services into the HubSpot platform\" per vendor copy); the independent Clearbit self-serve API appears discontinued post-acquisition. Breeze Intelligence runs on unified \"HubSpot Credits\" (migrated from Breeze Credits June 2025) purchasable self-serve, but only inside an existing HubSpot account — no independent signup path exists anymore.", "mcp_status_bucket": "none-found", "api_gate_bucket": "paid", "mcp_urls": [ "https://knowledge.hubspot.com/integrations/customize-breeze-agents-with-hubspot-mcp-client" ], "source_urls": [ "https://clearbit.com/", "https://www.hubspot.com/products/clearbit", "https://knowledge.hubspot.com/integrations/customize-breeze-agents-with-hubspot-mcp-client", "https://knowledge.hubspot.com/account-management/understand-hubspot-credits-and-billing" ], "source_annotations": [], "vendor_domain": "clearbit.com", "display_name": "Clearbit Reveal (rebranded: HubSpot Breeze Intelligence)", "docs_url": null, "jobs": [ "enrich-company-from-domain", "identify-anonymous-website-visitor", "fetch-buyer-intent-signals", "detect-technographics" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "05-clearbit-reveal", "also_listed_in": [], "source_file": "05-signals-intent-abm.md", "source_line": 349, "file_index": 14, "category_num": "05", "category_slug": "signals-intent-abm", "category_label": "Signals & Intent", "heading": "Clearbit Reveal (now HubSpot Breeze Intelligence)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 190 }, { "id": "05-common-room", "slug": "common-room", "normalized_name": "common room", "name": "Common Room", "vendor_url": "https://www.commonroom.io", "category": "signals-intent-abm", "what_it_does": "Aggregates buyer/community engagement signals — Slack, Discord, GitHub activity (stars, PRs, issues), product usage, and third-party intent data (Bombora integration) — across a company's community/product channels into unified contact and organization profiles.", "ai_features": "Primarily data aggregation and unification across many signal sources rather than an ML/predictive product. The MCP layer adds genuine LLM-native querying, but that intelligence comes from the connected AI client, not a proprietary Common Room model. No predictive-scoring ML claims found.", "mcp_status": "official", "mcp_url": "https://www.commonroom.io/docs/using-common-room/mcp-server/ ; community alternative: https://github.com/chris-trag/commonroom-mcp", "mcp_auth": "oauth (OAuth 2.1, browser-based, tokens scoped to the user's own Common Room permissions)", "api_gate": "enterprise-only", "revops_role": "Community-led-growth and product-signal intelligence, especially for developer-tool/PLG companies tracking engagement across Slack/Discord/GitHub before a form-fill, feeding CRM enrichment.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.commonroom.io/docs/using-common-room/mcp-server/, https://www.commonroom.io/product/mcp-server/, https://github.com/chris-trag/commonroom-mcp, https://www.vendr.com/marketplace/common-room, https://marketbetter.ai/blog/common-room-pricing-breakdown-2026/, https://glama.ai/mcp/servers?query=common+room", "notes": "Official MCP exposes 4 tools (get_catalog, list_objects, create_object, update_object) and supports read AND write — more capable than a typical read-only intent MCP. No public self-serve pricing found; market data (Vendr) suggests Starter plans around $1,700/mo scaling to $30-60K/yr, quote-only.", "mcp_status_bucket": "official", "api_gate_bucket": "enterprise-only", "mcp_urls": [ "https://www.commonroom.io/docs/using-common-room/mcp-server/", "https://github.com/chris-trag/commonroom-mcp" ], "source_urls": [ "https://www.commonroom.io/docs/using-common-room/mcp-server/", "https://www.commonroom.io/product/mcp-server/", "https://github.com/chris-trag/commonroom-mcp", "https://www.vendr.com/marketplace/common-room", "https://marketbetter.ai/blog/common-room-pricing-breakdown-2026/", "https://glama.ai/mcp/servers?query=common+room" ], "source_annotations": [], "vendor_domain": "commonroom.io", "display_name": "Common Room", "docs_url": null, "jobs": [ "fetch-buyer-intent-signals", "monitor-social-mentions" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/chris-trag/commonroom-mcp", "https://github.com/chris-trag/commonroom-mcp" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "05-common-room", "also_listed_in": [ { "id": "15-common-room", "name": "Common Room", "category_num": "15", "category_slug": "community-dark-social", "source_file": "15-community-dark-social.md", "canonical": false } ], "source_file": "05-signals-intent-abm.md", "source_line": 279, "file_index": 11, "category_num": "05", "category_slug": "signals-intent-abm", "category_label": "Signals & Intent", "heading": "Common Room", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 107 }, { "id": "05-crossbeam", "slug": "crossbeam", "normalized_name": "crossbeam", "name": "Crossbeam", "vendor_url": "crossbeam.com", "category": "signals-intent-abm", "what_it_does": "Compares your account list against your partners' account lists to surface overlaps, partner-shared contacts, and warm introduction paths for co-selling.", "ai_features": "The MCP is a read-only data surface, so the AI is whatever client is attached to it. Crossbeam's own product supplies partner recommendations and ecosystem scoring rather than generative AI.", "mcp_status": "official", "mcp_url": "https://mcp.crossbeam.com/mcp (docs: https://www.crossbeam.com/what-is-crossbeam/crossbeam-mcp)", "mcp_auth": "OAuth with Crossbeam login credentials, with a permission consent screen at connect time.", "api_gate": "enterprise-only", "revops_role": "Partner and ecosystem data layer feeding account prioritisation and co-sell routing; the \"who already has a relationship here\" question answered from partner data rather than from a purchased contact graph.", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://www.crossbeam.com/what-is-crossbeam/crossbeam-mcp, https://help.crossbeam.com/en/articles/12601327-crossbeam-mcp-server-limited-availability, https://developers.mcp.crossbeam.com/, https://developers.crossbeam.com/", "notes": "Added 2026-08-25 in the coverage sweep. MCP is in Limited Availability and restricted to Supernode and Enterprise customers only; Free and Connector plans are explicitly excluded, which is why api_gate is enterprise-only despite Crossbeam having a free product tier. All exposed tools are read-only per vendor docs. NOT VERIFIED: what the Supernode tier costs, which matters because it is the gate on the MCP. Partner-ecosystem data is a lane this directory did not previously cover at all.", "mcp_status_bucket": "official", "api_gate_bucket": "enterprise-only", "mcp_urls": [ "https://mcp.crossbeam.com/mcp", "https://www.crossbeam.com/what-is-crossbeam/crossbeam-mcp" ], "source_urls": [ "https://www.crossbeam.com/what-is-crossbeam/crossbeam-mcp", "https://help.crossbeam.com/en/articles/12601327-crossbeam-mcp-server-limited-availability", "https://developers.mcp.crossbeam.com/", "https://developers.crossbeam.com/" ], "source_annotations": [], "vendor_domain": "crossbeam.com", "display_name": "Crossbeam", "docs_url": "https://developers.crossbeam.com/", "jobs": [ "discover-warm-intro-paths" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "05-crossbeam", "also_listed_in": [], "source_file": "05-signals-intent-abm.md", "source_line": 593, "file_index": 25, "category_num": "05", "category_slug": "signals-intent-abm", "category_label": "Signals & Intent", "heading": "Crossbeam", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 109 }, { "id": "05-crustdata", "slug": "crustdata", "normalized_name": "crustdata", "name": "Crustdata", "vendor_url": "https://crustdata.com", "category": "signals-intent-abm", "what_it_does": "Aggregates real-time company and people data (250+ data points per company from 15+ sources — funding, headcount, web signals, social, reviews) plus a \"Watcher API\" for near-real-time hiring/funding/event alerts, covering 60M companies and 1B+ people.", "ai_features": "Markets itself as built \"for AI agents\" (indexing the web for agent consumption) — the core product is data aggregation/enrichment from many sources, not a proprietary ML model. The genuinely AI-native part is the agent-first MCP design (one-line drop into Claude), not the underlying signal detection.", "mcp_status": "official", "mcp_url": "https://docs.crustdata.com/for-agents/mcp.md (also a Claude Code plugin: https://docs.crustdata.com/for-agents/claude-plugin.md)", "mcp_auth": "api key (free sandbox key available)", "api_gate": "paid", "revops_role": "Real-time company/people data layer for enrichment, agent tooling, and account monitoring, positioned as an agent-native alternative to legacy data providers.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://crustdata.com/, https://crustdata.com/pricing, https://crustdata.com/apis/company-enrichment, https://docs.crustdata.com/for-agents/mcp.md, https://www.ycombinator.com/companies/crustdata", "notes": "One of the clearest \"new self-serve tier\" contrasts to 6sense/Demandbase/Bombora in this category — YC-backed (launched 2025), free sandbox key, flat-file data starting at $49/mo, credit-based API pricing beyond that. No enterprise-only gate found.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://docs.crustdata.com/for-agents/mcp.md", "https://docs.crustdata.com/for-agents/claude-plugin.md" ], "source_urls": [ "https://crustdata.com/", "https://crustdata.com/pricing", "https://crustdata.com/apis/company-enrichment", "https://docs.crustdata.com/for-agents/mcp.md", "https://www.ycombinator.com/companies/crustdata" ], "source_annotations": [], "vendor_domain": "crustdata.com", "display_name": "Crustdata", "docs_url": null, "jobs": [ "search-people-by-criteria", "search-companies-by-firmographics", "enrich-company-from-domain", "detect-technographics", "detect-funding-or-news-event" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": false, "canonical_id": "01-crustdata", "also_listed_in": [ { "id": "01-crustdata", "name": "Crustdata", "category_num": "01", "category_slug": "data-enrichment", "source_file": "01-data-enrichment.md", "canonical": true } ], "source_file": "05-signals-intent-abm.md", "source_line": 507, "file_index": 21, "category_num": "05", "category_slug": "signals-intent-abm", "category_label": "Signals & Intent", "heading": "Crustdata", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 57 }, { "id": "05-demandbase", "slug": "demandbase", "normalized_name": "demandbase", "name": "Demandbase (Demandbase One)", "vendor_url": "https://www.demandbase.com", "category": "signals-intent-abm", "what_it_does": "Identifies and scores in-market B2B accounts by combining IP/website deanonymization, a global firmographic/technographic database, and intent-signal ingestion, rolling this into \"Buying Group\" and account-level engagement data inside a customer's own tenant.", "ai_features": "Vendor markets \"Demandbase AI\" for buying-group prioritization (\"most likely to convert\") but public pages don't disclose whether this is a distinct trained model or a scored aggregation of intent+firmographic data — treat with skepticism. The MCP's natural-language query layer is an interface, not a new signal.", "mcp_status": "official", "mcp_url": "https://developer.demandbase.com/docs/mcp ; https://learn.demandbase.com/setting-up-and-using-demandbase-mcp", "mcp_auth": "unknown — the account-team-gated support article that likely covers this returned HTTP 403 and could not be read; docs confirm the MCP is read-only against a customer's own tenant.", "api_gate": "enterprise-only", "revops_role": "Enterprise ABM platform — account intelligence and buying-group orchestration feeding CRM, ad platforms, and sales engagement tools.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://developer.demandbase.com/docs/mcp, https://learn.demandbase.com/setting-up-and-using-demandbase-mcp, https://developer.demandbase.com/docs/instructions, https://www.demandbase.com/products/data/api-integration/, https://support.demandbase.com/hc/en-us/articles/38999526296603-Generate-and-Manage-API-Key-Sets, https://www.demandbase.com/pricing/", "notes": "B2B API and Export API require the customer's account team to enable them even on an existing paid contract — not bundled by default. MCP requires an existing Demandbase One tenant, so it isn't independently usable.", "mcp_status_bucket": "official", "api_gate_bucket": "enterprise-only", "mcp_urls": [ "https://developer.demandbase.com/docs/mcp", "https://learn.demandbase.com/setting-up-and-using-demandbase-mcp" ], "source_urls": [ "https://developer.demandbase.com/docs/mcp", "https://learn.demandbase.com/setting-up-and-using-demandbase-mcp", "https://developer.demandbase.com/docs/instructions", "https://www.demandbase.com/products/data/api-integration/", "https://support.demandbase.com/hc/en-us/articles/38999526296603-Generate-and-Manage-API-Key-Sets", "https://www.demandbase.com/pricing/" ], "source_annotations": [], "vendor_domain": "demandbase.com", "display_name": "Demandbase (Demandbase One)", "docs_url": null, "jobs": [ "enrich-company-from-domain", "identify-anonymous-website-visitor", "fetch-buyer-intent-signals", "detect-technographics", "score-and-prioritize-leads" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "05-demandbase", "also_listed_in": [], "source_file": "05-signals-intent-abm.md", "source_line": 38, "file_index": 1, "category_num": "05", "category_slug": "signals-intent-abm", "category_label": "Signals & Intent", "heading": "Demandbase", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 110 }, { "id": "05-factors-ai", "slug": "factors-ai", "normalized_name": "factors ai", "name": "Factors.ai", "vendor_url": "https://www.factors.ai", "category": "signals-intent-abm", "what_it_does": "De-anonymizes website visitors and tracks named-account behavior (page visits, LinkedIn/Google ad engagement, email/content engagement, third-party intent research signals) to identify in-market accounts and specific contacts.", "ai_features": "\"Scout Agent\" is a genuine AI copilot/LLM layer grounded in account data (chat-based Q&A, account research). Predictive account scoring is more conventional scoring/ranking on engagement signals — model details aren't disclosed, so treat \"predictive\" as scored/ranked data rather than confirmed deep ML.", "mcp_status": "official", "mcp_url": "https://help.factors.ai/en/articles/14705206-factors-mcp", "mcp_auth": "Personal access token (generated in Settings > AI Features), used via Claude custom connector or a local Python 3.11+ package.", "api_gate": "paid", "revops_role": "Account-level intent + engagement tracking with an AI copilot (Scout) for research/attribution, exposed to external AI clients via MCP.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.factors.ai/, https://www.factors.ai/pricing, https://help.factors.ai/en/articles/14705206-factors-mcp, https://www.factors.ai/mcp", "notes": "Lite tier is free/self-serve (2-minute setup, no card) but is visitor-ID/traffic-analysis only. MCP/Scout Agent access requires \"AI Features,\" gated behind paid plans (Basic $6K/yr, Growth $20K/yr, Enterprise $30K+/yr) that require booking a demo rather than self-serve checkout.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://help.factors.ai/en/articles/14705206-factors-mcp" ], "source_urls": [ "https://www.factors.ai/", "https://www.factors.ai/pricing", "https://help.factors.ai/en/articles/14705206-factors-mcp", "https://www.factors.ai/mcp" ], "source_annotations": [], "vendor_domain": "factors.ai", "display_name": "Factors.ai", "docs_url": null, "jobs": [ "identify-anonymous-website-visitor", "fetch-buyer-intent-signals", "research-account-for-call-prep", "score-and-prioritize-leads" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "05-factors-ai", "also_listed_in": [], "source_file": "05-signals-intent-abm.md", "source_line": 326, "file_index": 13, "category_num": "05", "category_slug": "signals-intent-abm", "category_label": "Signals & Intent", "heading": "Factors.ai", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 62 }, { "id": "05-g2-buyer-intent", "slug": "g2-buyer-intent", "normalized_name": "g2 buyer intent", "name": "G2 Buyer Intent", "vendor_url": "g2.com", "category": "signals-intent-abm", "what_it_does": "Surfaces which companies are researching your product and your competitors on G2's review marketplace, plus the review and category data behind those signals.", "ai_features": "Intent scoring 0-100 derived from on-site research behaviour, competitive evaluation pattern detection, and review-derived market intelligence including switching patterns and NPS. The scoring is proprietary and unverified externally; the underlying data is behavioural telemetry, not AI.", "mcp_status": "official", "mcp_url": "https://mcp.g2.com/mcp (docs: https://documentation.g2.com/docs/g2-mcp-server; product page: https://sell.g2.com/g2-mcp)", "mcp_auth": "OAuth 2.0 Authorization Code with PKCE. You register an OAuth app in the G2 Developer Dashboard at https://my.g2.com/developers to get a client_id and client_secret and configure a localhost callback redirect URI. Scopes include openid, profile, buyer_intent.read, products.read, products.reviews.read, vendors.read plus research-board scopes. Cross-application token introspection must be enabled on the OAuth app or token validation against the MCP server fails.", "api_gate": "enterprise-only", "revops_role": "Third-party review-site intent source, complementary to Bombora's co-op and 6sense's own network, and a common trigger for ABM plays and competitive-displacement outreach.", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://documentation.g2.com/docs/g2-mcp-server, https://sell.g2.com/g2-mcp, https://data.g2.com/api/docs, https://partner.g2.com/developer, https://partnerhub.g2.com/, https://sell.g2.com/resources/webinars/ai-agents-mcp-and-the-new-intent-stack", "notes": "Added 2026-08-25 in the coverage sweep, closing the most glaring gap in this file: the directory covered Bombora's co-op and 6sense's own network but not the third-party intent source B2B software sellers cite most often. 23 tools documented, spanning product browsing, vendor management, review retrieval, buyer intent, competitive intelligence, research board management and category exploration. Named tools include browse_buyer_intent, browse_competitive_intelligence, list_standard_product_reviews, list_market_intelligence_product_reviews. api_gate is enterprise-only in practice: G2's own FAQ states \"the data returned is limited by your current G2 subscription,\" and the MCP docs add that \"additional G2 entitlements may be required for buyer intent data.\" Buyer Intent is a paid seller product with no published price and no self-serve path. G2 does operate a developer portal with a sandbox, so a developer can explore the shape of the API without live intent data, which is a genuinely useful middle state worth naming. G2 also lists partner surfaces where the MCP is pre-wired: Claude, ChatGPT, HubSpot (requires Breeze Agents access), Gong, AirOps, Profound, plus a beta directly inside my.G2. TWO G2 DOC URLS 404: sell.g2.com/pricing and documentation.g2.com/docs/g2-api-getting-started; the working entry points are the two given above.", "mcp_status_bucket": "official", "api_gate_bucket": "enterprise-only", "mcp_urls": [ "https://mcp.g2.com/mcp", "https://documentation.g2.com/docs/g2-mcp-server", "https://sell.g2.com/g2-mcp" ], "source_urls": [ "https://documentation.g2.com/docs/g2-mcp-server", "https://sell.g2.com/g2-mcp", "https://data.g2.com/api/docs", "https://partner.g2.com/developer", "https://partnerhub.g2.com/", "https://sell.g2.com/resources/webinars/ai-agents-mcp-and-the-new-intent-stack" ], "source_annotations": [], "vendor_domain": "g2.com", "display_name": "G2 Buyer Intent", "docs_url": "https://documentation.g2.com/", "jobs": [ "fetch-buyer-intent-signals" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "05-g2-buyer-intent", "also_listed_in": [], "source_file": "05-signals-intent-abm.md", "source_line": 613, "file_index": 26, "category_num": "05", "category_slug": "signals-intent-abm", "category_label": "Signals & Intent", "heading": "G2 Buyer Intent", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 111 }, { "id": "05-hg-insights", "slug": "hg-insights", "normalized_name": "hg insights", "name": "HG Insights (Phoenix platform)", "vendor_url": "https://hginsights.com", "category": "signals-intent-abm", "what_it_does": "Aggregates B2B technographic data (software/tech a company runs, sourced from job postings, web crawling, public filings, partner feeds), firmographics, IT spend estimates, and third-party intent (via TrustRadius review/research activity) into a unified company profile.", "ai_features": "Long-standing data-aggregation/technographics business that predates the \"AI\" framing. Newer \"RGI Agent Builder\" and MCP layer expose existing structured data to AI agents — infrastructure for AI, not AI-derived data itself; skeptical of \"AI-ready infrastructure\" marketing beyond that.", "mcp_status": "official", "mcp_url": "https://learn.microsoft.com/en-us/connectors/hginsightsmcp/ (Microsoft-certified connector, publisher HG Insights)", "mcp_auth": "api key (`x-api-key` header; throttled to 100 calls/60 seconds per connection)", "api_gate": "enterprise-only", "revops_role": "Firmographic/technographic enrichment and account intelligence, feeding ICP fit-scoring and territory/account prioritization upstream of outbound.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://hginsights.com/gtm-data-insights/gtm-infrastructure/, https://hginsights.com/solutions-use-case/gtm-infrastructure-for-ai-agents/, https://learn.microsoft.com/en-us/connectors/hginsightsmcp/, https://data-docs.hginsights.com/v2/guides/overview, https://phoenix.hginsights.com/features", "notes": "The AI-agent/MCP product is described as \"early access request\" only, no self-serve signup found, consistent with HG Insights' historical enterprise-contract business model. Note: madkudu.com now 301-redirects to hginsights.com, indicating MadKudu (predictive PQL scoring) has been folded into HG Insights — see Sweep notes.", "mcp_status_bucket": "official", "api_gate_bucket": "enterprise-only", "mcp_urls": [ "https://learn.microsoft.com/en-us/connectors/hginsightsmcp/" ], "source_urls": [ "https://hginsights.com/gtm-data-insights/gtm-infrastructure/", "https://hginsights.com/solutions-use-case/gtm-infrastructure-for-ai-agents/", "https://learn.microsoft.com/en-us/connectors/hginsightsmcp/", "https://data-docs.hginsights.com/v2/guides/overview", "https://phoenix.hginsights.com/features" ], "source_annotations": [], "vendor_domain": "hginsights.com", "display_name": "HG Insights (Phoenix platform)", "docs_url": null, "jobs": [ "enrich-company-from-domain", "fetch-buyer-intent-signals", "detect-technographics" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "05-hg-insights", "also_listed_in": [], "source_file": "05-signals-intent-abm.md", "source_line": 232, "file_index": 9, "category_num": "05", "category_slug": "signals-intent-abm", "category_label": "Signals & Intent", "heading": "HG Insights", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 113 }, { "id": "05-intently", "slug": "intently", "normalized_name": "intently", "name": "Intently (getintently.com)", "vendor_url": "https://getintently.com", "category": "signals-intent-abm", "what_it_does": "Scrapes LinkedIn in real time (without an official API or user accounts) to extract profile/company data, competitor followers, and post reactions/comments as engagement signals.", "ai_features": "None described on public pages — this is a scraping/aggregation tool, not ML/LLM-driven.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "paid", "revops_role": "LinkedIn engagement-signal scraper feeding Clay/CRM enrichment workflows, a raw-data source for building intent lists from LinkedIn activity.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://getintently.com", "notes": "IDENTITY CONFIDENCE FLAG — \"Intently\" is a common name; intently.co (a service marketplace) and other domains exist under similar names. getintently.com is the best public match for a GTM-signals tool fitting the seed list's description (LinkedIn scraping, Clay/HubSpot/Go High Level/Salesforce integrations), but could not be cross-verified against a second independent source. Pay-as-you-go credits ($100-$500 packs, no minimum), no MCP found.", "mcp_status_bucket": "none-found", "api_gate_bucket": "paid", "mcp_urls": [], "source_urls": [ "https://getintently.com" ], "source_annotations": [], "vendor_domain": "getintently.com", "display_name": "Intently (getintently.com)", "docs_url": null, "jobs": [ "enrich-person-from-linkedin-url", "scrape-web-page-for-facts", "monitor-social-mentions" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "05-intently", "also_listed_in": [], "source_file": "05-signals-intent-abm.md", "source_line": 553, "file_index": 23, "category_num": "05", "category_slug": "signals-intent-abm", "category_label": "Signals & Intent", "heading": "Intently", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 197 }, { "id": "05-keyplay", "slug": "keyplay", "normalized_name": "keyplay", "name": "Keyplay", "vendor_url": "https://keyplay.io", "category": "signals-intent-abm", "what_it_does": "Builds a mathematical ICP model from a company's existing best customers, then scores and ranks a universe of target accounts against that model using 750+ pre-built \"signals\" (hiring velocity, tech stack, industry category) plus custom web-scraped signals.", "ai_features": "\"AI Lookalikes\" (nearest-neighbor-style account similarity scoring against the ICP model) is the closest thing to genuine ML — vendor-described, not independently verified. The bulk of the product (750+ standard signals, custom signal composition) is data aggregation and rules/scoring, not ML.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "unknown", "api_gate": "paid", "revops_role": "Account selection / ICP modeling and continuous re-scoring layer, sitting upstream of outbound rather than detecting real-time triggers.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://keyplay.io/pricing/, https://keyplay.io/product/, https://www.salesforge.ai/directory/sales-tools/keyplay, https://syncgtm.com/blog/keyplay-review", "notes": "No MCP found on GitHub, mcp.so, glama.ai, or pulsemcp.com. A free \"List Builder\" tier exists (25 credits, 750+ signals, CSV export) — genuinely solo-operator-accessible at $0 — but ICP-modeling and Enrichment API access sit behind paid tiers ($18-20K/yr \"Growth,\" custom \"Scale\"). Keyplay's own homepage indicates it has joined a company called Inflection (\"the B2B marketing platform where agents actually execute\"); this ownership transition could not be independently verified beyond Keyplay's own site copy, so flag as unconfirmed.", "mcp_status_bucket": "none-found", "api_gate_bucket": "paid", "mcp_urls": [], "source_urls": [ "https://keyplay.io/pricing/", "https://keyplay.io/product/", "https://www.salesforge.ai/directory/sales-tools/keyplay", "https://syncgtm.com/blog/keyplay-review" ], "source_annotations": [], "vendor_domain": "keyplay.io", "display_name": "Keyplay", "docs_url": null, "jobs": [ "build-target-account-list", "detect-technographics", "score-and-prioritize-leads" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "05-keyplay", "also_listed_in": [], "source_file": "05-signals-intent-abm.md", "source_line": 256, "file_index": 10, "category_num": "05", "category_slug": "signals-intent-abm", "category_label": "Signals & Intent", "heading": "Keyplay", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 198 }, { "id": "05-koala", "slug": "koala", "normalized_name": "koala", "name": "Koala", "vendor_url": "https://getkoala.com", "category": "signals-intent-abm", "what_it_does": "Identified and scored anonymous B2B website visitors by matching visitor IPs/first-party signals against 30+ data sources, then triggered configurable AI-agent workflows (enrichment, research, alerting) on high-intent accounts.", "ai_features": "\"Agent Swarm\" ran configurable AI agents doing waterfall enrichment/research on leads with feedback loops — closer to genuine LLM-agent orchestration than most competitors in this category. \"Account Fit & Intent Scoring\" was more conventional rules/scoring on aggregated signal data, not disclosed as deep ML.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "paid", "revops_role": "Was a website visitor-ID + intent scoring + AI-agent-driven lead research/enrichment layer feeding sales outreach.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://getkoala.com/, https://getkoala.com/pricing, https://getkoala.com/docs/integrations/github", "notes": "STATUS FLAG — Koala's homepage carries a banner stating it was acquired by Cursor and would shut down Sept 30 (2025). As of today's date (Aug 2026) this product is almost certainly defunct; the pricing/features above describe the pre-shutdown product and should not be treated as currently purchasable. Verify current status before referencing this as a live tool.", "mcp_status_bucket": "none-found", "api_gate_bucket": "paid", "mcp_urls": [], "source_urls": [ "https://getkoala.com/", "https://getkoala.com/pricing", "https://getkoala.com/docs/integrations/github" ], "source_annotations": [], "vendor_domain": "getkoala.com", "display_name": "Koala", "docs_url": null, "jobs": [], "jobs_tagged_by": null, "jobs_tagged_on": null, "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "05-koala", "also_listed_in": [], "source_file": "05-signals-intent-abm.md", "source_line": 304, "file_index": 12, "category_num": "05", "category_slug": "signals-intent-abm", "category_label": "Signals & Intent", "heading": "Koala", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 200 }, { "id": "05-leadfeeder", "slug": "leadfeeder", "normalized_name": "leadfeeder", "name": "Leadfeeder (product line rebranded/merged under Dealfront; dealfront.com redirects to leadfeeder.com)", "vendor_url": "https://www.leadfeeder.com", "category": "signals-intent-abm", "what_it_does": "Identifies companies visiting a website via IP-to-company matching, tracks page-level visit behavior, and surfaces intent signals plus verified contact data for those companies.", "ai_features": "Core product is visitor ID + segmentation + contact enrichment — data aggregation and rules/filters, not confirmed ML/LLM, aside from the MCP-driven natural-language query layer (which uses the connecting LLM client, not a proprietary Leadfeeder model).", "mcp_status": "official", "mcp_url": "https://www.leadfeeder.com/features/mcp-server/ ; docs: https://docs.leadfeeder.com/api/public/connect-your-ai-tool-370534m0", "mcp_auth": "OAuth — user signs in with their own Leadfeeder account; vendor states \"No keys pasted in.\"", "api_gate": "free (limited)", "revops_role": "Website visitor identification + intent + contact enrichment, one of the more solo-operator-friendly, well-documented MCP integrations in this category.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.leadfeeder.com/features/mcp-server/, https://docs.leadfeeder.com/api/public/connect-your-ai-tool-370534m0, https://www.leadfeeder.com/pricing/, https://mcp.pipedream.com/app/leadfeeder, https://github.com/ever-works/awesome-mcp-servers/blob/master/details/leadfeeder-mcp-server.md", "notes": "Permanently free \"Lite\" tier exists (unlimited users, last 100 identified companies/mo, 7-day visitor history, no card). Paid: Discover from €79/mo, Activate from €369/mo, Scale from €599/mo, all self-serve with 14-day trials; only \"Enterprise\" requires sales contact. MCP is explicitly labeled Beta by the vendor. A third-party Pipedream-hosted connector also exists as an alternative access path.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://www.leadfeeder.com/features/mcp-server/", "https://docs.leadfeeder.com/api/public/connect-your-ai-tool-370534m0" ], "source_urls": [ "https://www.leadfeeder.com/features/mcp-server/", "https://docs.leadfeeder.com/api/public/connect-your-ai-tool-370534m0", "https://www.leadfeeder.com/pricing/", "https://mcp.pipedream.com/app/leadfeeder", "https://github.com/ever-works/awesome-mcp-servers/blob/master/details/leadfeeder-mcp-server.md" ], "source_annotations": [], "vendor_domain": "leadfeeder.com", "display_name": "Leadfeeder (product line rebranded/merged under Dealfront; dealfront.com redirects to leadfeeder.com)", "docs_url": null, "jobs": [ "enrich-company-from-domain", "find-work-email", "identify-anonymous-website-visitor", "fetch-buyer-intent-signals" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/ever-works/awesome-mcp-servers/blob/master/details/leadfeeder-mcp-server.md" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "05-leadfeeder", "also_listed_in": [], "source_file": "05-signals-intent-abm.md", "source_line": 372, "file_index": 15, "category_num": "05", "category_slug": "signals-intent-abm", "category_label": "Signals & Intent", "heading": "Leadfeeder / Dealfront", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 20 }, { "id": "05-live-data-technologies", "slug": "live-data-technologies", "normalized_name": "live data technologies", "name": "Live Data Technologies", "vendor_url": "https://www.livedatatechnologies.com", "category": "signals-intent-abm", "what_it_does": "Tracks real-time job changes and employment history for ~80M white-collar professionals by continuously re-verifying identities against open-web and public professional data sources, surfaced via API or the Moneyball/Streams products.", "ai_features": "No ML/LLM claims found on public pages — this is verification/matching infrastructure (300M+ monthly employment verifications, re-verified every 10-14 days), not predictive or generative AI. Aggregation and identity resolution, not AI in the ML sense.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "paid", "revops_role": "Upstream job-change/champion-tracking data source — feeds workflows similar to UserGems/Champify, or can be used directly for warm-outbound triggers.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.livedatatechnologies.com/api, https://www.livedatatechnologies.com/pricing, https://www.livedatatechnologies.com/product-jobs, https://www.businesswire.com/news/home/20230109005011/en/Live-Data-Technologies-Raises-Its-Series-A-to-Provide-Multiple-Verticals-with-Real-Time-Job-Change-Data", "notes": "Searched \"Live Data Technologies MCP server/github\" plus mcp.so/glama.ai/pulsemcp.com — nothing found. Consumer products are genuinely self-serve (Moneyball $99/mo, Streams $199/mo, 30-day free trial), but the bulk/Enterprise Data Platform requires contacting sales — a two-tier gate worth noting.", "mcp_status_bucket": "none-found", "api_gate_bucket": "paid", "mcp_urls": [], "source_urls": [ "https://www.livedatatechnologies.com/api", "https://www.livedatatechnologies.com/pricing", "https://www.livedatatechnologies.com/product-jobs", "https://www.businesswire.com/news/home/20230109005011/en/Live-Data-Technologies-Raises-Its-Series-A-to-Provide-Multiple-Verticals-with-Real-Time-Job-Change-Data" ], "source_annotations": [], "vendor_domain": "livedatatechnologies.com", "display_name": "Live Data Technologies", "docs_url": null, "jobs": [ "track-job-changes" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "05-live-data-technologies", "also_listed_in": [], "source_file": "05-signals-intent-abm.md", "source_line": 440, "file_index": 18, "category_num": "05", "category_slug": "signals-intent-abm", "category_label": "Signals & Intent", "heading": "Live Data Technologies", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 201 }, { "id": "05-predictleads", "slug": "predictleads", "normalized_name": "predictleads", "name": "PredictLeads", "vendor_url": "https://predictleads.com", "category": "signals-intent-abm", "what_it_does": "Aggregates five signal categories (job openings, technology detections, news events, business connections, firmographics) across 129M companies in 195 countries by scraping public web sources — company sites, job boards, DNS/HTML/JS technology footprints, news.", "ai_features": "Primarily data aggregation and rules-based signal detection (technology fingerprinting via HTML/DNS signatures, keyword-matched job posting parsing) — no core ML/LLM claimed for the underlying detection. The MCP server is an LLM-agent interface layer over existing structured data, not a new AI capability.", "mcp_status": "official", "mcp_url": "https://mcp.predictleads.com/", "mcp_auth": "api key (same API key/token used for REST API calls, per vendor blog)", "api_gate": "free (limited)", "revops_role": "Data layer/signal feed, typically consumed via API into a CRM, enrichment pipeline, or scoring model rather than used as a standalone UI tool.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://predictleads.com/, https://predictleads.com/blog/company-intelligence-api-gtm-teams/, https://blog.predictleads.com/2026/05/13/technographic-data-api-for-b2b-enrichment", "notes": "Free tier confirmed — \"sign up and get 100 free API requests/month,\" paid plans beyond that referenced but not itemized on the pages checked. One of the more solo-operator-friendly tools in this category — free tier plus a documented MCP with simple API-key auth.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://mcp.predictleads.com/" ], "source_urls": [ "https://predictleads.com/", "https://predictleads.com/blog/company-intelligence-api-gtm-teams/", "https://blog.predictleads.com/2026/05/13/technographic-data-api-for-b2b-enrichment" ], "source_annotations": [], "vendor_domain": "predictleads.com", "display_name": "PredictLeads", "docs_url": null, "jobs": [ "enrich-company-from-domain", "scrape-job-postings", "detect-technographics", "detect-funding-or-news-event" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "05-predictleads", "also_listed_in": [], "source_file": "05-signals-intent-abm.md", "source_line": 485, "file_index": 20, "category_num": "05", "category_slug": "signals-intent-abm", "category_label": "Signals & Intent", "heading": "PredictLeads", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 28 }, { "id": "05-rb2b", "slug": "rb2b", "normalized_name": "rb2b", "name": "RB2B", "vendor_url": "https://www.rb2b.com", "category": "signals-intent-abm", "what_it_does": "Deanonymizes B2B website traffic by matching visitor IP/device identifiers and first/third-party data against a contact database to reveal the specific US-based person (name, LinkedIn, email) browsing the site, plus company-level ID globally.", "ai_features": "No AI/ML claims found — presented as identity-resolution/probabilistic data matching, not predictive scoring or LLM work. This is aggregation and matching, not AI.", "mcp_status": "official", "mcp_url": "https://github.com/robbclarke/RB2B-APIs-MCP (npm: @rb2b/rb2b-apis-mcp)", "mcp_auth": "api key", "api_gate": "paid", "revops_role": "Top-of-funnel intent capture, turning anonymous website traffic into named, contactable leads for SDR follow-up and Slack alerting.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.rb2b.com/, https://www.rb2b.com/power-your-product, https://www.warmly.ai/p/blog/rb2b-pricing, https://salestools.club/apis/rb2b, https://registry.npmjs.org/@rb2b/rb2b-apis-mcp", "notes": "Sources conflict on MCP status — a third-party directory (salestools.club) says \"Not available,\" but the npm package's maintainer email (robb@retention.com) matches RB2B's parent company Retention.com, a strong signal it's founder-maintained rather than a random fork; not confirmed via RB2B's own docs site. A separate OEM/API program runs $5,000/mo base + $0.10/resolution above 50,000/mo — enterprise-leaning for that tier specifically. Person-level ID is US-only.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://github.com/robbclarke/RB2B-APIs-MCP" ], "source_urls": [ "https://www.rb2b.com/", "https://www.rb2b.com/power-your-product", "https://www.warmly.ai/p/blog/rb2b-pricing", "https://salestools.club/apis/rb2b", "https://registry.npmjs.org/@rb2b/rb2b-apis-mcp" ], "source_annotations": [], "vendor_domain": "rb2b.com", "display_name": "RB2B", "docs_url": null, "jobs": [ "find-work-email", "identify-anonymous-website-visitor" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/robbclarke/RB2B-APIs-MCP" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "05-rb2b", "also_listed_in": [], "source_file": "05-signals-intent-abm.md", "source_line": 159, "file_index": 6, "category_num": "05", "category_slug": "signals-intent-abm", "category_label": "Signals & Intent", "heading": "RB2B", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 84 }, { "id": "05-similarweb", "slug": "similarweb", "normalized_name": "similarweb", "name": "Similarweb", "vendor_url": "similarweb.com", "category": "signals-intent-abm", "what_it_does": "Web, app and market intelligence platform that estimates traffic, audience, keyword and competitive metrics for any domain, used in sales as an account-prioritisation and account-research signal.", "ai_features": "The core estimation models are statistical panel and clickstream modelling rather than generative AI. The AI surface is the MCP server and natural-language querying over the same metrics, so treat \"AI\" here as an access layer, not a new capability.", "mcp_status": "official", "mcp_url": "https://mcp.similarweb.com (docs: https://developers.similarweb.com/docs/similarweb-mcp and https://docs.similarweb.com/api-v5/similarweb-mcp/mcp-setup; announcement: https://www.similarweb.com/blog/updates/announcements/mcp-server-launch/)", "mcp_auth": "CONFLICTING VENDOR STATEMENTS, flagged rather than resolved. Both Similarweb developer docs pages state an active Similarweb API key from Account Settings is required and passed via the MCP client config. A third-party setup guide (mcpservers.org) describes an OAuth browser flow on first connect. The vendor docs are the stronger source, so treat it as api key until Similarweb documents OAuth itself.", "api_gate": "enterprise-only", "revops_role": "Account-sizing, competitor-displacement and territory-prioritisation signal, and the standard source for \"is this account actually growing\" checks during account research.", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://developers.similarweb.com/docs/similarweb-mcp, https://docs.similarweb.com/api-v5/similarweb-mcp/mcp-setup, https://www.similarweb.com/corp/ai/mcp/, https://www.similarweb.com/blog/updates/announcements/mcp-server-launch/, https://www.similarweb.com/corp/pricing/, https://mcpservers.org/remote-mcp-servers/similarweb", "notes": "Added 2026-08-25 in the coverage sweep. 21 tools across three groups: Web Metrics (16 tools covering traffic, referrals, similar sites, demographics, technology detection), Search Metrics (2 tools for SERP and keyword click trends), App Metrics (3 tools for install penetration, store rankings, app details). IMPORTANT COST MECHANIC, and the sharpest practical warning in this file: MCP calls consume the same data credits as regular API calls, and consumption varies with query complexity, so an agent looping over an account list can burn a credit budget fast with no natural stopping point. api_gate is enterprise-only despite a naming quirk worth explaining: the developer docs say MCP requires a subscription on the \"API-only, Business, or Enterprise\" plans with API access enabled, but Similarweb's corporate pricing page publishes no prices at all, splits into self-service \"Entrepreneurs\" packages versus sales-contact \"Businesses and Enterprises,\" and its FAQ states plainly that \"API is available as part of our customized packages for Businesses.\" So the \"API-only\" plan has no published price and no self-serve path. BEWARE the Apify \"Similarweb scraper\" MCP servers in search results; those are third-party scrapers, one explicitly marked DEPRECATED, and are not Similarweb.", "mcp_status_bucket": "official", "api_gate_bucket": "enterprise-only", "mcp_urls": [ "https://mcp.similarweb.com", "https://developers.similarweb.com/docs/similarweb-mcp", "https://docs.similarweb.com/api-v5/similarweb-mcp/mcp-setup", "https://www.similarweb.com/blog/updates/announcements/mcp-server-launch/" ], "source_urls": [ "https://developers.similarweb.com/docs/similarweb-mcp", "https://docs.similarweb.com/api-v5/similarweb-mcp/mcp-setup", "https://www.similarweb.com/corp/ai/mcp/", "https://www.similarweb.com/blog/updates/announcements/mcp-server-launch/", "https://www.similarweb.com/corp/pricing/", "https://mcpservers.org/remote-mcp-servers/similarweb" ], "source_annotations": [], "vendor_domain": "similarweb.com", "display_name": "Similarweb", "docs_url": "https://developers.similarweb.com/", "jobs": [ "enrich-company-from-domain", "research-account-for-call-prep" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "05-similarweb", "also_listed_in": [], "source_file": "05-signals-intent-abm.md", "source_line": 633, "file_index": 27, "category_num": "05", "category_slug": "signals-intent-abm", "category_label": "Signals & Intent", "heading": "Similarweb", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 121 }, { "id": "05-snitcher", "slug": "snitcher", "normalized_name": "snitcher", "name": "Snitcher", "vendor_url": "https://www.snitcher.com", "category": "signals-intent-abm", "what_it_does": "Identifies anonymous website visitor companies via IP-to-company database matching, tracks on-site behavior (pages viewed, session length, return visits) via an embedded tracking script, and surfaces \"hot lead\" alerts plus verified contacts.", "ai_features": "No explicit AI/ML claims found for the core detection engine — detection is deterministic IP-to-company matching plus rules-based intent/behavior scoring (e.g., pricing-page-visit alerts). Any \"AI\" references on the site point to customer logos, not Snitcher's own technology.", "mcp_status": "official", "mcp_url": "https://www.snitcher.com/changelog/point-claude-at-snitcher/", "mcp_auth": "unknown — vendor changelog points to docs.snitcher.com for authentication specifics, not independently confirmed.", "api_gate": "paid", "revops_role": "Visitor ID + real-time intent alerting (e.g., Slack ping when a target account hits the pricing page) + contact reveal, with a native MCP integration.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.snitcher.com/, https://www.snitcher.com/pricing, https://www.snitcher.com/changelog/point-claude-at-snitcher/", "notes": "Self-serve throughout (\"Start for free\"), 14-day trial, no card required. Volume-tiered pricing $49/mo (0-50 companies identified) up to $529/mo (4,001-5,000 companies); a discounted \"Startup Program\" requires contacting sales. Changelog dated June 26, 2026 — a recent addition, part of a broader 2026 wave of visitor-ID vendors bolting on MCP servers.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://www.snitcher.com/changelog/point-claude-at-snitcher/" ], "source_urls": [ "https://www.snitcher.com/", "https://www.snitcher.com/pricing", "https://www.snitcher.com/changelog/point-claude-at-snitcher/" ], "source_annotations": [], "vendor_domain": "snitcher.com", "display_name": "Snitcher", "docs_url": null, "jobs": [ "find-work-email", "identify-anonymous-website-visitor", "fetch-buyer-intent-signals" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "05-snitcher", "also_listed_in": [], "source_file": "05-signals-intent-abm.md", "source_line": 418, "file_index": 17, "category_num": "05", "category_slug": "signals-intent-abm", "category_label": "Signals & Intent", "heading": "Snitcher", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 90 }, { "id": "05-sumble", "slug": "sumble", "normalized_name": "sumble", "name": "Sumble", "vendor_url": "https://sumble.com", "category": "signals-intent-abm", "what_it_does": "Builds an account-intelligence knowledge graph by continuously scanning tens of millions of public sources (job boards, company sites, social media, regulatory filings) to map org structure, tech stack, and initiatives like cloud migrations or GenAI projects per company.", "ai_features": "Genuinely AI-driven — pairs a knowledge graph with an LLM to synthesize disparate signals into coherent account narratives, per vendor and TechCrunch coverage. Founded by Kaggle co-founders (Anthony Goldbloom, Ben Hamner), which lends some credibility, though the specifics remain vendor-described.", "mcp_status": "official", "mcp_url": "https://docs.sumble.com/pages/KLH6XuEHsUssUZW6C1i4 (\"Use the MCP server\")", "mcp_auth": "unknown — not disclosed in the public docs excerpt available", "api_gate": "paid", "revops_role": "Account research / call-prep layer — LLM-driven account intelligence for reps prepping outbound or discovery calls.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://techcrunch.com/2025/10/22/sumble-emerges-from-stealth-with-38-5m-to-bring-ai-powered-context-to-sales-intelligence/, https://sumble.com/, https://docs.sumble.com/pages/KLH6XuEHsUssUZW6C1i4", "notes": "Emerged from stealth October 2025 with a $38.5M raise; knowledge graph covers ~2.6M companies. Self-serve 30-day free trial, no credit card required; specific paid pricing tiers not published.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://docs.sumble.com/pages/KLH6XuEHsUssUZW6C1i4" ], "source_urls": [ "https://techcrunch.com/2025/10/22/sumble-emerges-from-stealth-with-38-5m-to-bring-ai-powered-context-to-sales-intelligence/", "https://sumble.com/", "https://docs.sumble.com/pages/KLH6XuEHsUssUZW6C1i4" ], "source_annotations": [], "vendor_domain": "sumble.com", "display_name": "Sumble", "docs_url": null, "jobs": [ "detect-technographics", "research-account-for-call-prep" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "05-sumble", "also_listed_in": [], "source_file": "05-signals-intent-abm.md", "source_line": 463, "file_index": 19, "category_num": "05", "category_slug": "signals-intent-abm", "category_label": "Signals & Intent", "heading": "Sumble", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 93 }, { "id": "05-theirstack", "slug": "theirstack", "normalized_name": "theirstack", "name": "TheirStack", "vendor_url": "https://theirstack.com", "category": "signals-intent-abm", "what_it_does": "Tracks 233M+ job postings across 195+ countries and 33,000+ technologies to detect hiring signals, technographic footprint, and buying-intent signals (job-posting keywords implying a company has or needs a specific type of software).", "ai_features": "Primarily rules/keyword-based signal detection (job posting text matched to technology/problem keywords) — data aggregation, not core ML. Three separate MCP servers are an LLM-agent access layer over the same structured datasets, not a new detection method.", "mcp_status": "official", "mcp_url": "https://theirstack.com/en/job-posting-mcp (also technographics-mcp and buying-intent-mcp at the same domain)", "mcp_auth": "unknown — page references a \"How does authentication work?\" FAQ but the answer wasn't visible in the fetched content; requires free signup/login to use.", "api_gate": "free (limited)", "revops_role": "Hiring/technographic/intent signal feed used to build outbound target lists based on what companies are hiring for or which tech-stack gaps they have.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://theirstack.com/, https://theirstack.com/en/pricing, https://theirstack.com/en/job-posting-mcp", "notes": "Free trial plus credit-based pricing from $49/mo (API credits) up to $5,500/mo; one-time credit packs $109-$999; a full \"talk to sales\" enterprise tier exists for the complete datasets. Three separate MCP servers (jobs, technographics, buying intent) rather than one unified server — see Sweep notes for MCP-of-the-Week candidacy.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://theirstack.com/en/job-posting-mcp" ], "source_urls": [ "https://theirstack.com/", "https://theirstack.com/en/pricing", "https://theirstack.com/en/job-posting-mcp" ], "source_annotations": [], "vendor_domain": "theirstack.com", "display_name": "TheirStack", "docs_url": null, "jobs": [ "fetch-buyer-intent-signals", "scrape-job-postings", "detect-technographics" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "05-theirstack", "also_listed_in": [ { "id": "01-theirstack", "name": "TheirStack", "category_num": "01", "category_slug": "data-enrichment", "source_file": "01-data-enrichment.md", "canonical": false } ], "source_file": "05-signals-intent-abm.md", "source_line": 531, "file_index": 22, "category_num": "05", "category_slug": "signals-intent-abm", "category_label": "Signals & Intent", "heading": "TheirStack", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 35 }, { "id": "05-trigify", "slug": "trigify", "normalized_name": "trigify", "name": "Trigify (Trigify.io)", "vendor_url": "https://www.trigify.io", "category": "signals-intent-abm", "what_it_does": "Monitors LinkedIn, X/Twitter, Reddit, YouTube, and podcasts for keyword mentions and engagement (likes, comments, shares, job changes), mapping who engaged with that content into an \"engagement graph\" filtered by ICP criteria.", "ai_features": "Marketed as \"GTM Signal Intelligence\" but the mechanism is keyword monitoring plus engagement scraping and rules-based filtering across 30+ signal types — data aggregation and matching, not predictive ML or LLM analysis as documented. The \"AI agents\" framing refers to agents consuming the data via API/MCP, not Trigify generating it via AI.", "mcp_status": "community", "mcp_url": "https://github.com/bcharleson/trigify-cli", "mcp_auth": "api key (from app.trigify.io/settings; via `trigify login --api-key`, env var TRIGIFY_API_KEY, or a per-command flag)", "api_gate": "paid", "revops_role": "Social/engagement-signal-based prospecting, surfacing warm leads from real-time social activity, feeding outbound sequencing tools.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.trigify.io/, https://www.trigify.io/pricing, https://github.com/bcharleson/trigify-cli, https://libraries.io/npm/trigify-cli, https://instantly.ai/marketplace/trigify", "notes": "Trigify's own site claims \"Every Trigify signal, search and workflow is available to AI agents through a REST API, an MCP server and a CLI,\" implying a first-party MCP exists, but no distinct official repo/URL was found (zero results on PulseMCP; none on mcp.so/glama.ai either) — so mcp_status is set to community, backed only by the concrete third-party repo in hand. Unusually solo-operator-friendly pricing: self-serve, 14-day free trial, Starter $40/mo includes API access.", "mcp_status_bucket": "community", "api_gate_bucket": "paid", "mcp_urls": [ "https://github.com/bcharleson/trigify-cli" ], "source_urls": [ "https://www.trigify.io/", "https://www.trigify.io/pricing", "https://github.com/bcharleson/trigify-cli", "https://libraries.io/npm/trigify-cli", "https://instantly.ai/marketplace/trigify" ], "source_annotations": [], "vendor_domain": "trigify.io", "display_name": "Trigify (Trigify.io)", "docs_url": null, "jobs": [ "fetch-buyer-intent-signals", "track-job-changes", "monitor-social-mentions" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/bcharleson/trigify-cli", "https://github.com/bcharleson/trigify-cli" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "05-trigify", "also_listed_in": [], "source_file": "05-signals-intent-abm.md", "source_line": 208, "file_index": 8, "category_num": "05", "category_slug": "signals-intent-abm", "category_label": "Signals & Intent", "heading": "Trigify", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 154 }, { "id": "05-usergems", "slug": "usergems", "normalized_name": "usergems", "name": "UserGems", "vendor_url": "https://www.usergems.com", "category": "signals-intent-abm", "what_it_does": "Tracks job changes of known contacts (past customers/champions moving to new companies) plus 30+ other native signals (new hires, promotions, funding, website visits, M&A) sourced from LinkedIn-style data providers and a customer's own CRM history, to surface warm outbound opportunities.", "ai_features": "Core job-change/hire tracking is rules-based data monitoring and matching, not ML. A newer \"Research Agent\" for open-ended custom signal discovery is the more genuinely AI-native piece (LLM-agent layer); be skeptical of \"AI-powered\" framing applied to the core product.", "mcp_status": "official", "mcp_url": "https://www.usergems.com/product/mcp", "mcp_auth": "unknown — connects inside Claude/ChatGPT per the product page, but the exact auth mechanism (OAuth vs. API key) isn't disclosed publicly.", "api_gate": "enterprise-only", "revops_role": "Champion/relationship-tracking layer triggering warm outbound when known contacts change jobs, feeding sales engagement tools and CRM.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.usergems.com/product/mcp, https://www.usergems.com/, https://www.vendr.com/marketplace/usergems, https://www.keepsync.io/post/usergems-pricing-worth-30k-year-cheaper-alternatives, https://salesmotion.io/blog/usergems-pricing", "notes": "No public pricing page — third-party trackers (Vendr, Keepsync, Salesmotion) report tiers from ~$33K/yr to ~$120K/yr plus a $3-10K implementation fee; treat as market-observed, not vendor-confirmed. No self-serve signup found.", "mcp_status_bucket": "official", "api_gate_bucket": "enterprise-only", "mcp_urls": [ "https://www.usergems.com/product/mcp" ], "source_urls": [ "https://www.usergems.com/product/mcp", "https://www.usergems.com/", "https://www.vendr.com/marketplace/usergems", "https://www.keepsync.io/post/usergems-pricing-worth-30k-year-cheaper-alternatives", "https://salesmotion.io/blog/usergems-pricing" ], "source_annotations": [], "vendor_domain": "usergems.com", "display_name": "UserGems", "docs_url": null, "jobs": [ "fetch-buyer-intent-signals", "track-job-changes", "detect-funding-or-news-event" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "05-usergems", "also_listed_in": [], "source_file": "05-signals-intent-abm.md", "source_line": 87, "file_index": 3, "category_num": "05", "category_slug": "signals-intent-abm", "category_label": "Signals & Intent", "heading": "UserGems", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 124 }, { "id": "05-vector", "slug": "vector", "normalized_name": "vector", "name": "Vector (vector.co)", "vendor_url": "https://www.vector.co", "category": "signals-intent-abm", "what_it_does": "Identifies named individual buyers (not just companies) by resolving anonymous website visitors and ad-click engagement to real contacts, then tracks their behavior (job changes, CRM activity, ad engagement) across the buyer journey via a \"Shared Experience Graph.\"", "ai_features": "Vendor claims a \"proprietary AI model\" for relationship/signal scoring — unverified marketing language. The announced \"Vector MCP\" is a genuine LLM-integration point, but the intelligence lives in the connected LLM client, not in a Vector-owned model.", "mcp_status": "none-found", "mcp_url": "https://www.vector.co/blog/what-is-an-mcp-and-why-were-building-it-for-marketers (vendor's own announcement — describes MCP as \"rolling out soon,\" gated behind a waitlist, not a live repo/endpoint)", "mcp_auth": "unknown — not confirmed live", "api_gate": "paid", "revops_role": "Contact-level (not just account-level) intent capture feeding both sales alerting and paid-ad audience activation.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.vector.co/, https://www.vector.co/pricing, https://www.vector.co/blog/product-release-what-does-vector-do, https://www.vector.co/blog/what-is-an-mcp-and-why-were-building-it-for-marketers, https://www.ycombinator.com/companies/vector, https://www.prnewswire.com/news-releases/vector-raises-10m-series-a-to-build-the-ai-ad-platform-that-makes-marketers-better-not-obsolete-302770353.html", "notes": "Disambiguated as the YC-backed, HubSpot Ventures/SignalFire-funded contact-based marketing \"Vector\" (Reveal + Target products), not any dev-tools product of the same name. Reveal plan is self-serve ($399-$999/mo, 14-day trial); Target (ad activation) requires an annual contract from $3,000/mo. Checked mcp.so and glama.ai directly — no listing found on either, consistent with waitlist-stage MCP.", "mcp_status_bucket": "none-found", "api_gate_bucket": "paid", "mcp_urls": [ "https://www.vector.co/blog/what-is-an-mcp-and-why-were-building-it-for-marketers" ], "source_urls": [ "https://www.vector.co/", "https://www.vector.co/pricing", "https://www.vector.co/blog/product-release-what-does-vector-do", "https://www.vector.co/blog/what-is-an-mcp-and-why-were-building-it-for-marketers", "https://www.ycombinator.com/companies/vector", "https://www.prnewswire.com/news-releases/vector-raises-10m-series-a-to-build-the-ai-ad-platform-that-makes-marketers-better-not-obsolete-302770353.html" ], "source_annotations": [], "vendor_domain": "vector.co", "display_name": "Vector (vector.co)", "docs_url": null, "jobs": [ "identify-anonymous-website-visitor", "fetch-buyer-intent-signals", "track-job-changes" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "05-vector", "also_listed_in": [], "source_file": "05-signals-intent-abm.md", "source_line": 183, "file_index": 7, "category_num": "05", "category_slug": "signals-intent-abm", "category_label": "Signals & Intent", "heading": "Vector", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 210 }, { "id": "05-warmly", "slug": "warmly", "normalized_name": "warmly", "name": "Warmly (Warmly.ai)", "vendor_url": "https://www.warmly.ai", "category": "signals-intent-abm", "what_it_does": "De-anonymizes website visitors at the person and company level from site traffic, and aggregates first-party (web/product/CRM), second-party (social/job-change), and third-party (Bombora intent, keyword research) signals into a unified account/contact view.", "ai_features": "Mixed but partly genuine — an \"AI chatbot\" grounded in a proprietary \"Context Graph\" is a real conversational LLM layer. \"ML Intent Scoring\" and account tiering read more like scored/ranked aggregation of ingested signals (including licensed Bombora data) than a novel model; be more skeptical of that claim specifically.", "mcp_status": "official", "mcp_url": "https://www.warmly.ai/launches/warmly-mcp-and-api-are-live", "mcp_auth": "MCP uses OAuth-based login (no manual key management); the separate REST API (opps-api.getwarmly.com) uses a per-organization API key.", "api_gate": "free (limited)", "revops_role": "Entry-level visitor-ID + intent aggregation — the lighter-weight, solo-operator-accessible alternative to 6sense/Demandbase in this category.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.warmly.ai/launches/warmly-mcp-and-api-are-live, https://www.warmly.ai/p/resources/launches, https://opps-widget.getwarmly.com/pricing.html, https://softwarefinder.com/customer-service-software/warmly, https://www.leadpipe.com/blog/warmly-review-2026/", "notes": "Free tier: 500 de-anonymized visitors/mo, limited Bombora intent, MCP included with 250 credits/mo, 60 req/min rate limit. Paid: Starter $99/mo, Growth $199/mo, Pro $499/mo, Enterprise custom. MCP tools are read-only (list_warm_visitors, list_warm_accounts, get_credits_remaining).", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://www.warmly.ai/launches/warmly-mcp-and-api-are-live" ], "source_urls": [ "https://www.warmly.ai/launches/warmly-mcp-and-api-are-live", "https://www.warmly.ai/p/resources/launches", "https://opps-widget.getwarmly.com/pricing.html", "https://softwarefinder.com/customer-service-software/warmly", "https://www.leadpipe.com/blog/warmly-review-2026/" ], "source_annotations": [], "vendor_domain": "warmly.ai", "display_name": "Warmly (Warmly.ai)", "docs_url": null, "jobs": [ "enrich-company-from-domain", "identify-anonymous-website-visitor", "fetch-buyer-intent-signals", "run-email-sequence", "answer-inbound-chat" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "05-warmly", "also_listed_in": [ { "id": "01-warmly", "name": "Warmly", "category_num": "01", "category_slug": "data-enrichment", "source_file": "01-data-enrichment.md", "canonical": false } ], "source_file": "05-signals-intent-abm.md", "source_line": 135, "file_index": 5, "category_num": "05", "category_slug": "signals-intent-abm", "category_label": "Signals & Intent", "heading": "Warmly", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 38 }, { "id": "06-affinity", "slug": "affinity", "normalized_name": "affinity", "name": "Affinity", "vendor_url": "affinity.co", "category": "revops-infra", "what_it_does": "A relationship-intelligence CRM for deal teams that auto-builds the contact graph from email and calendar activity and scores relationship strength, rather than relying on reps to log activity.", "ai_features": "Semantic search across companies and people, relationship-strength scoring, and meeting-transcript retrieval. The contact-graph construction itself is automation over mail and calendar metadata, not AI.", "mcp_status": "official", "mcp_url": "https://mcp.affinity.co/mcp (docs: https://support.affinity.co/s/article/Getting-started-with-Affinity-MCP)", "mcp_auth": "OAuth where the client supports it, otherwise an API key. Local deployment is API key only. All MCP queries inherit the connecting user's existing Affinity permissions.", "api_gate": "paid", "revops_role": "System of record for relationship-driven pipelines, primarily private capital, with warm-path discovery layered on top of the CRM itself.", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://support.affinity.co/s/article/Getting-started-with-Affinity-MCP, https://www.affinity.co/blog/affinity-is-building-the-best-mcp-for-private-capital, https://www.affinity.co/product/crm", "notes": "Added 2026-08-25 in the coverage sweep. API and MCP access are restricted to the Scale, Advanced and Enterprise tiers; lower tiers cannot use it at all. Launched in beta in 2026 with roughly 33 read and write tools. TRANSFERABILITY CAVEAT: Affinity is aimed at VC, PE and investment banking rather than classic B2B SaaS sales, so the relationship-strength model is tuned for a different motion than most of this directory. Included because the auto-built relationship graph is the same job Centralize (05) and The Swarm (01) do, approached from a third direction, and the three together are a coherent lane.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://mcp.affinity.co/mcp", "https://support.affinity.co/s/article/Getting-started-with-Affinity-MCP" ], "source_urls": [ "https://support.affinity.co/s/article/Getting-started-with-Affinity-MCP", "https://www.affinity.co/blog/affinity-is-building-the-best-mcp-for-private-capital", "https://www.affinity.co/product/crm" ], "source_annotations": [], "vendor_domain": "affinity.co", "display_name": "Affinity", "docs_url": "https://support.affinity.co/s/article/Getting-started-with-Affinity-MCP", "jobs": [ "discover-warm-intro-paths", "fetch-call-transcript", "read-crm-records", "write-crm-records" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "06-affinity", "also_listed_in": [], "source_file": "06-revops-infra.md", "source_line": 455, "file_index": 20, "category_num": "06", "category_slug": "revops-infra", "category_label": "RevOps Infra", "heading": "Affinity", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 42 }, { "id": "06-airbyte", "slug": "airbyte", "normalized_name": "airbyte", "name": "Airbyte", "vendor_url": "airbyte.com", "category": "revops-infra", "what_it_does": "Open-source/cloud ELT platform with 600+ connectors moving data from SaaS tools and databases into warehouses; increasingly positions itself as a context layer for AI agents via a hosted Context Store.", "ai_features": "A real, substantive \"Agents\" product line (app.airbyte.ai) using a Connect-Ask-Act model that lets agents query/act on connected data — not just a copilot bolt-on. Whether the core Connector Builder itself has natural-language-assisted connector generation was not confirmed either way and is left as unknown rather than guessed.", "mcp_status": "official", "mcp_url": "https://docs.airbyte.com/ai-agents/interfaces/mcp", "mcp_auth": "Two-layer OAuth 2.0 — OAuth into the Airbyte account/org for the MCP server itself, plus separate OAuth or API-key auth per connected third-party service (Salesforce, HubSpot, GitHub, Stripe, etc.), entered in-browser, never in agent chat. Hosted endpoint: https://mcp.airbyte.ai/mcp.", "api_gate": "free — Core (self-managed, open source) is always free; Cloud has a genuine self-serve $0/mo tier (1,000 Agent Operations/month); cheapest paid Standard tier starts at $10/mo.", "revops_role": "Upstream data-integration layer — gets GTM tool data (and 600+ other sources) into the warehouse, and now also positions as the retrieval/action layer for AI agents to reach across GTM systems directly.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://airbyte.com/, https://airbyte.com/pricing, https://docs.airbyte.com/ai-agents/interfaces/mcp", "notes": "One of the more clearly \"official and productized\" MCP implementations in this file — hosted, documented, and multi-client (Claude, ChatGPT, Cursor, VS Code, Codex).", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://docs.airbyte.com/ai-agents/interfaces/mcp" ], "source_urls": [ "https://airbyte.com/", "https://airbyte.com/pricing", "https://docs.airbyte.com/ai-agents/interfaces/mcp" ], "source_annotations": [], "vendor_domain": "airbyte.com", "display_name": "Airbyte", "docs_url": null, "jobs": [ "sync-records-between-systems" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "06-airbyte", "also_listed_in": [], "source_file": "06-revops-infra.md", "source_line": 322, "file_index": 14, "category_num": "06", "category_slug": "revops-infra", "category_label": "RevOps Infra", "heading": "Airbyte", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 0 }, { "id": "06-attio", "slug": "attio", "normalized_name": "attio", "name": "Attio", "vendor_url": "attio.com", "category": "revops-infra", "what_it_does": "A CRM built around a flexible, user-defined data model (not fixed contact/company/deal objects) with real-time sync and an API-first architecture.", "ai_features": "Confirmed AI surface is thin in what's publicly documented — automatic data enrichment and meeting-intelligence tooling are mentioned as part of the MCP tool surface, but no distinct named AI-agent product on the scale of Agentforce or Breeze was found; treated as unconfirmed rather than asserted.", "mcp_status": "official", "mcp_url": "https://docs.attio.com/mcp/overview (endpoint: https://mcp.attio.com/mcp)", "mcp_auth": "OAuth — one-time login as the user's own Attio account, no API key needed. Reads auto-approve; writes require confirmation. Permissions mirror whatever the logged-in user already has in the workspace.", "api_gate": "free — the Free plan (up to 3 seats) includes API access, rate-limited (~1,000 calls/hour). Paid tiers: Plus $29/user/mo, Pro $69/user/mo, Enterprise custom.", "revops_role": "A newer, flexible-schema CRM competing for data-team/startup RevOps stacks that want customizable record objects; one of the cleaner \"log in with your own account, no API key\" MCP implementations found in this research.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://docs.attio.com/mcp/overview, https://mcp.attio.com/, https://attio.com/pricing", "notes": "Community/unofficial Attio MCP servers also exist (e.g. kesslerio/attio-mcp-server) and are separate from the official mcp.attio.com hosted server linked above.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://docs.attio.com/mcp/overview", "https://mcp.attio.com/mcp" ], "source_urls": [ "https://docs.attio.com/mcp/overview", "https://mcp.attio.com/", "https://attio.com/pricing" ], "source_annotations": [], "vendor_domain": "attio.com", "display_name": "Attio", "docs_url": null, "jobs": [ "read-crm-records", "write-crm-records" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "06-attio", "also_listed_in": [], "source_file": "06-revops-infra.md", "source_line": 57, "file_index": 2, "category_num": "06", "category_slug": "revops-infra", "category_label": "RevOps Infra", "heading": "Attio", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 3 }, { "id": "06-cargo", "slug": "cargo", "normalized_name": "cargo", "name": "Cargo", "vendor_url": "getcargo.ai", "category": "revops-infra", "what_it_does": "A GTM/RevOps engineering platform (YC S23) that lets revenue teams define, version, and automate go-to-market logic — lead sourcing, enrichment, scoring, routing, CRM sync — as code, run by AI agents.", "ai_features": "Genuinely agent-based — ships \"Cargo Skills,\" 17 defined agent skills (sourcing, enrichment, scoring, research, routing) usable directly inside Claude Code, Codex, and Cursor, with autonomous execution for routine tasks and human-approval gates for nuanced decisions. Closer to a GTM-specific agent framework than point-and-click automation.", "mcp_status": "official", "mcp_url": "https://docs.getcargo.ai/ (defineMcpServer is a native, first-party part of Cargo's workspace/CDK framework; a dedicated /mcp docs page returned HTTP 405 rather than content)", "mcp_auth": "unknown for the MCP layer specifically — docs confirm the capability but not its auth mechanism. Cargo's separate REST API (api.getcargo.io/v1) uses OAuth 2.0 with device-code and PKCE flows.", "api_gate": "free — a genuine self-serve free tier (100 credits/mo, no card required, CLI signup via email); paid tiers start at Starter $165/mo, with \"no feature lock\" suggesting API/CLI access isn't paywalled.", "revops_role": "Positions itself as the connective/execution layer between fragmented sales, marketing, and finance tools — closer to a GTM automation warehouse-plus-agents than a point tool; integrates with a data warehouse rather than owning its own store.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.ycombinator.com/companies/cargo, https://www.getcargo.ai/, https://www.getcargo.ai/pricing, https://docs.getcargo.ai/, https://github.com/getcargohq", "notes": "DOMAIN CORRECTION — cargo.so does not resolve (DNS failure, confirmed by multiple direct fetch attempts). The real company matching this brief (YC S23, founders ex-Spendesk) is at getcargo.ai / getcargo.io. Cargo's GitHub org (github.com/getcargohq) has 5 public repos but no standalone \"MCP server\" repo — MCP is a feature inside the core product/docs, not a separate open-source connector.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://docs.getcargo.ai/" ], "source_urls": [ "https://www.ycombinator.com/companies/cargo", "https://www.getcargo.ai/", "https://www.getcargo.ai/pricing", "https://docs.getcargo.ai/", "https://github.com/getcargohq" ], "source_annotations": [], "vendor_domain": "getcargo.ai", "display_name": "Cargo", "docs_url": null, "jobs": [ "enrich-company-from-domain", "sync-records-between-systems", "run-automation-workflow", "route-inbound-lead", "score-and-prioritize-leads" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/getcargohq" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "06-cargo", "also_listed_in": [], "source_file": "06-revops-infra.md", "source_line": 186, "file_index": 8, "category_num": "06", "category_slug": "revops-infra", "category_label": "RevOps Infra", "heading": "Cargo", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 7 }, { "id": "06-census", "slug": "census", "normalized_name": "census", "name": "Census (now operates as \"Fivetran Activations\")", "vendor_url": "getcensus.com (301-redirects to fivetran.com; docs.getcensus.com redirects to fivetran.com/docs/activations)", "category": "revops-infra", "what_it_does": "Was a standalone reverse-ETL tool for syncing warehouse data (Snowflake, BigQuery, etc.) into GTM tools like Salesforce/HubSpot without code; the product now lives inside Fivetran as \"Activations,\" same function.", "ai_features": "No standalone Census AI features exist anymore — the product no longer operates independently. See the Fivetran entry for the current AI/MCP surface.", "mcp_status": "official (via Fivetran, not Census-specific)", "mcp_url": "https://github.com/fivetran/fivetran-mcp", "mcp_auth": "API key + secret via env vars (FIVETRAN_API_KEY, FIVETRAN_API_SECRET).", "api_gate": "free — the Fivetran REST API, which now covers Activations, is available on all plans including the free trial.", "revops_role": "Reverse-ETL layer — pushes warehouse-modeled data (scores, segments, enrichment) into CRM/marketing tools; now folded into Fivetran's broader EL(T)-plus-activation platform rather than a separate best-of-breed vendor.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.getcensus.com/ (confirmed 301 redirect to fivetran.com), https://docs.getcensus.com/ (confirmed redirect to fivetran.com/docs/activations), https://fivetran.com/docs/activations", "notes": "This is worth flagging plainly — anyone still citing \"Census\" as an independent reverse-ETL vendor is out of date. getcensus.com, www.getcensus.com, and docs.getcensus.com all redirect to Fivetran domains, and fivetran.com/docs/activations describes exactly Census's old reverse-ETL product. No dated press release confirming the acquisition/merger was found (Fivetran's own newsroom listing doesn't show one) — the exact date is unknown, the redirect behavior is what's confirmed.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://github.com/fivetran/fivetran-mcp" ], "source_urls": [ "https://www.getcensus.com/", "https://docs.getcensus.com/", "https://fivetran.com/docs/activations" ], "source_annotations": [ "(confirmed 301 redirect to fivetran.com)", "(confirmed redirect to fivetran.com/docs/activations)" ], "vendor_domain": "getcensus.com", "display_name": "Census (now operates as \"Fivetran Activations\")", "docs_url": null, "jobs": [], "jobs_tagged_by": null, "jobs_tagged_on": null, "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/fivetran/fivetran-mcp" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "06-census", "also_listed_in": [], "source_file": "06-revops-infra.md", "source_line": 277, "file_index": 12, "category_num": "06", "category_slug": "revops-infra", "category_label": "RevOps Infra", "heading": "Census (now folded into Fivetran)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 8 }, { "id": "06-close", "slug": "close", "normalized_name": "close", "name": "Close (Close CRM)", "vendor_url": "close.com", "category": "revops-infra", "what_it_does": "A sales CRM built for inside-sales teams with built-in calling, email, and SMS alongside pipeline/lead management — a communications-plus-CRM combo rather than a pure system of record.", "ai_features": "Close's pricing page reportedly references an \"AI Sales Agent\" but this was not independently verified against a primary product page in this pass — flagged as under-researched rather than asserted. The MCP server itself is connectivity (create leads, log calls, send SMS, manage tasks), not an AI feature.", "mcp_status": "official", "mcp_url": "https://help.close.com/docs/mcp-server (endpoint: https://mcp.close.com/mcp)", "mcp_auth": "Dual — OAuth 2.0 with Dynamic Client Registration (recommended; used by Claude, ChatGPT, Cursor) or API-key auth via custom headers (Close-API-Key, Close-Scope). Three scope tiers: mcp.read, mcp.write_safe, mcp.write_destructive.", "api_gate": "paid — no free tier; API access is included on every paid plan starting at Solo (~$19/user/mo standard). No enterprise-sales gate, but a subscription is required.", "revops_role": "SMB/startup sales CRM often chosen for native calling/SMS; its MCP server pitches \"run ops tasks via Claude\" as a differentiator for small sales teams without dedicated RevOps engineering.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://help.close.com/docs/mcp-server, https://help.close.com/llms.txt", "notes": "Supports HTTP Streamable transport and integrates with Claude (web/desktop/code), ChatGPT, Cursor, VS Code, and n8n per its own docs. A separate community CLI tool (bcharleson/close-crm-cli) also exists and is unofficial.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://help.close.com/docs/mcp-server", "https://mcp.close.com/mcp" ], "source_urls": [ "https://help.close.com/docs/mcp-server", "https://help.close.com/llms.txt" ], "source_annotations": [], "vendor_domain": "close.com", "display_name": "Close (Close CRM)", "docs_url": null, "jobs": [ "place-outbound-call", "read-crm-records", "write-crm-records" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "06-close", "also_listed_in": [], "source_file": "06-revops-infra.md", "source_line": 99, "file_index": 4, "category_num": "06", "category_slug": "revops-infra", "category_label": "RevOps Infra", "heading": "Close", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 55 }, { "id": "06-default", "slug": "default", "normalized_name": "default", "name": "Default", "vendor_url": "default.com", "category": "revops-infra", "what_it_does": "An inbound go-to-market platform unifying revenue-stack data (a \"Tables\" data layer) with AI-agent-built workflows for lead routing, qualification, and meeting scheduling.", "ai_features": "\"Dot\" is an AI assistant/agent that turns plain-language requests into working GTM systems, with agent-built workflows reviewed/approved by humans before deployment, and agents that can schedule meetings. The workflow builder also has discrete \"AI Routing\" and \"AI Prompt\" nodes for AI-driven decisions inside otherwise deterministic workflows — a hybrid pattern similar to Make's.", "mcp_status": "official", "mcp_url": "https://www.default.com (homepage feature line only — \"MCP access to data and tools for every agent, whether built inside Default or on top of it,\" explicitly marked \"In beta\"; no separate docs/repo page was located)", "mcp_auth": "unknown — not documented anywhere found (checked default.com, default.com/product, docs.default.com).", "api_gate": "unknown — no visible self-serve signup, free trial, or pricing page; access is exclusively via \"Request a Demo\" or existing-customer login (default.com/pricing 404s). Strongly suggestive of an enterprise-sales gate, but unconfirmed.", "revops_role": "Sits at inbound lead routing/qualification — where marketing-generated leads get scored, matched to reps/territories, and booked; pitched as an agentic replacement for legacy lead-routing tools.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.default.com, https://www.default.com/product, https://docs.default.com", "notes": "Confirmed this is default.com the lead-routing SaaS, not a generic dev-tooling reference. The MCP claim is real but labeled \"In beta\" on the homepage with no dedicated docs/repo page found — treat as early/unstable. Marked official rather than none-found because the vendor's own page explicitly names MCP with a linkable URL, satisfying the schema's \"URL required\" law, even though it isn't a full docs page.", "mcp_status_bucket": "official", "api_gate_bucket": "unknown", "mcp_urls": [ "https://www.default.com" ], "source_urls": [ "https://www.default.com", "https://www.default.com/product", "https://docs.default.com" ], "source_annotations": [], "vendor_domain": "default.com", "display_name": "Default", "docs_url": null, "jobs": [ "enrich-company-from-domain", "book-a-meeting", "run-automation-workflow", "route-inbound-lead", "score-and-prioritize-leads" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "06-default", "also_listed_in": [ { "id": "10-default", "name": "Default", "category_num": "10", "category_slug": "scheduling-routing", "source_file": "10-scheduling-routing.md", "canonical": false } ], "source_file": "06-revops-infra.md", "source_line": 210, "file_index": 9, "category_num": "06", "category_slug": "revops-infra", "category_label": "RevOps Infra", "heading": "Default", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 129 }, { "id": "06-fivetran", "slug": "fivetran", "normalized_name": "fivetran", "name": "Fivetran", "vendor_url": "fivetran.com", "category": "revops-infra", "what_it_does": "Managed ELT pipeline platform; for GTM purposes, the relevant piece is its Salesforce/HubSpot/Marketo/Outreach/Salesloft/Gong/Zendesk connectors that land CRM and GTM-tool data in a warehouse, plus (post-Census) its \"Activations\" reverse-ETL product for pushing data back out to those same tools.", "ai_features": "Mostly plain data pipeline — the AI positioning is largely about being \"AI-ready\" infrastructure for downstream agents rather than AI inside the product itself. The one genuinely agentic piece is the official MCP server, which lets an AI assistant query/manage connections conversationally — that is real, not just marketing.", "mcp_status": "official", "mcp_url": "https://github.com/fivetran/fivetran-mcp", "mcp_auth": "API key + API secret via env vars, generated from the Fivetran dashboard. Scoped permission tiers (read / read-write / read-write-delete) with a configurable disallowed-actions carve-out; confirms with the user before write/delete operations.", "api_gate": "free — the REST API is available on all Fivetran plans including the free trial; the Free plan is self-serve (500K MAR/mo for connections, 3,500 MAR for activations, 5,000 MMR for transformations, no payment info required).", "revops_role": "Core data-plumbing layer of a RevOps stack — lands CRM/marketing/sales-engagement data into the warehouse and, via Activations, pushes it back out so it can be modeled and reused across GTM tools.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.fivetran.com/, https://www.fivetran.com/pricing, https://fivetran.com/docs/activations, https://fivetran.com/docs/connectors/applications, https://fivetran.com/docs/rest-api, https://github.com/fivetran/fivetran-mcp", "notes": "Confirmed GTM-relevant connectors include Salesforce, HubSpot, Pipedrive, Copper, Close, Marketo, Pardot, Braze, Klaviyo, Outreach, Salesloft, Apollo, Reply.io, Zendesk, Intercom, Freshdesk, Help Scout, LinkedIn Ad Analytics, Google Ads, and Gong. See the Census entry above — that product now lives inside Fivetran as Activations.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://github.com/fivetran/fivetran-mcp" ], "source_urls": [ "https://www.fivetran.com/", "https://www.fivetran.com/pricing", "https://fivetran.com/docs/activations", "https://fivetran.com/docs/connectors/applications", "https://fivetran.com/docs/rest-api", "https://github.com/fivetran/fivetran-mcp" ], "source_annotations": [], "vendor_domain": "fivetran.com", "display_name": "Fivetran", "docs_url": null, "jobs": [ "sync-records-between-systems" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/fivetran/fivetran-mcp", "https://github.com/fivetran/fivetran-mcp" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "06-fivetran", "also_listed_in": [], "source_file": "06-revops-infra.md", "source_line": 344, "file_index": 15, "category_num": "06", "category_slug": "revops-infra", "category_label": "RevOps Infra", "heading": "Fivetran (GTM connectors)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 15 }, { "id": "06-highlevel", "slug": "highlevel", "normalized_name": "highlevel", "name": "HighLevel (GoHighLevel)", "vendor_url": "gohighlevel.com", "category": "revops-infra", "what_it_does": "An all-in-one agency CRM covering contacts, pipelines, conversations, calendars, payments and campaign automation across many client sub-accounts from one place.", "ai_features": "The MCP itself is a plain tool surface, so the AI is whatever client is attached. HighLevel ships its own conversation AI separately, and that is not what the MCP exposes.", "mcp_status": "official", "mcp_url": "https://services.leadconnectorhq.com/mcp/ (docs: https://marketplace.gohighlevel.com/docs/other/mcp/)", "mcp_auth": "A Private Integration Token passed as a bearer token, plus a locationId header. Tool availability follows the scopes granted to the token.", "api_gate": "paid", "revops_role": "Consolidated CRM and marketing-automation stack for agencies and SMB GTM, with one endpoint reaching every sub-account object.", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://help.gohighlevel.com/support/solutions/articles/155000005741-how-to-setup-and-use-the-highlevel-mcp-server, https://marketplace.gohighlevel.com/docs/other/mcp/, https://ideas.gohighlevel.com/highlevel-mcp", "notes": "Added 2026-08-25 in the coverage sweep. 36 native tools at time of check, across contacts, conversations, opportunities, calendars, payments, locations, blogs, email templates and social posting. No additional charge beyond an existing HighLevel subscription. DISCOVERY HAZARD: a large community MCP ecosystem has grown around HighLevel (mastanley13, uxieee with 413 endpoints, drjerryrelth with 212 tools), and those unofficial forks rank above the vendor's own server in most searches, so a buyer searching \"gohighlevel mcp\" will hit a community fork first. Scoping note: this is the SMB and agency end of the market rather than the enterprise B2B motion most of this directory covers.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://services.leadconnectorhq.com/mcp/", "https://marketplace.gohighlevel.com/docs/other/mcp/" ], "source_urls": [ "https://help.gohighlevel.com/support/solutions/articles/155000005741-how-to-setup-and-use-the-highlevel-mcp-server", "https://marketplace.gohighlevel.com/docs/other/mcp/", "https://ideas.gohighlevel.com/highlevel-mcp" ], "source_annotations": [], "vendor_domain": "gohighlevel.com", "display_name": "HighLevel (GoHighLevel)", "docs_url": "https://marketplace.gohighlevel.com/docs/other/mcp/", "jobs": [ "run-email-sequence", "book-a-meeting", "read-crm-records", "write-crm-records", "run-automation-workflow" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "06-highlevel", "also_listed_in": [], "source_file": "06-revops-infra.md", "source_line": 475, "file_index": 21, "category_num": "06", "category_slug": "revops-infra", "category_label": "RevOps Infra", "heading": "HighLevel (GoHighLevel)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 67 }, { "id": "06-hightouch", "slug": "hightouch", "normalized_name": "hightouch", "name": "Hightouch", "vendor_url": "hightouch.com", "category": "revops-infra", "what_it_does": "A CDP/reverse-ETL platform that syncs warehouse data (Snowflake, BigQuery, Databricks, Redshift) to 300+ downstream tools (ad platforms, CRMs, marketing automation) for audience activation and personalization.", "ai_features": "More AI-forward than most peers — \"AI Decisioning\" (reinforcement-learning-based 1:1 personalization, per their own docs — the specific \"reinforcement learning\" framing is vendor-stated and not independently verified beyond marketing language), \"Proactive Insights\" (agents surfacing signals across data/market/competitors), and AI content generation for Lifecycle Studio (email/SMS) and Ad Studio (ad creative).", "mcp_status": "official (gated)", "mcp_url": "https://hightouch.com/docs/ai-integrations/mcp", "mcp_auth": "Existing Hightouch workspace auth with role-based access control; however the MCP server itself \"must be enabled by Hightouch — contact us to turn it on,\" so it is not self-serve activatable even though the auth mechanism itself is standard.", "api_gate": "free — the REST API is open to all Hightouch users (bearer-token API key), available even on the free Basic Reverse ETL tier (up to 2 active syncs, unlimited destinations/seats, no sales conversation required for the API itself).", "revops_role": "Sits between the warehouse and GTM execution tools — the activation layer that turns modeled/scored data into audiences, syncs, and now AI-generated campaign content.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.hightouch.com/, https://hightouch.com/pricing, https://hightouch.com/docs/ai-integrations/mcp, https://hightouch.com/docs/developer-tools/api-guide", "notes": "The MCP capability itself is read-write and functionally broad (create audiences, manage syncs, design journeys, generate email/ad content) — one of the more substantive MCP implementations researched for this file, but a solo operator can't self-serve turn it on; it requires contacting Hightouch first.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://hightouch.com/docs/ai-integrations/mcp" ], "source_urls": [ "https://www.hightouch.com/", "https://hightouch.com/pricing", "https://hightouch.com/docs/ai-integrations/mcp", "https://hightouch.com/docs/developer-tools/api-guide" ], "source_annotations": [], "vendor_domain": "hightouch.com", "display_name": "Hightouch", "docs_url": null, "jobs": [ "draft-personalized-outreach", "sync-records-between-systems" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "06-hightouch", "also_listed_in": [], "source_file": "06-revops-infra.md", "source_line": 299, "file_index": 13, "category_num": "06", "category_slug": "revops-infra", "category_label": "RevOps Infra", "heading": "Hightouch", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 17 }, { "id": "06-hubspot", "slug": "hubspot", "normalized_name": "hubspot", "name": "HubSpot", "vendor_url": "hubspot.com", "category": "revops-infra", "what_it_does": "An all-in-one CRM/marketing/sales/service platform with contacts, deals, marketing automation, and a public REST API/developer platform.", "ai_features": "Breeze is HubSpot's real AI layer — a conversational Assistant plus autonomous Agents (Customer Agent for support deflection, Prospecting Agent for outreach, Content Agent for content generation) that run independently rather than just answering questions; the older ChatSpot product has been folded into Breeze. Most of HubSpot's workflow tooling outside Breeze remains conventional rules-based automation.", "mcp_status": "official", "mcp_url": "https://developers.hubspot.com/ai-tools/mcp", "mcp_auth": "OAuth 2.0 for the hosted Remote MCP Server (migrating to OAuth 2.1 with PKCE + refresh-token rotation), explicitly excluding custom Sensitive Data Properties/PHI; the separate local Developer MCP Server authenticates via the HubSpot CLI.", "api_gate": "free — Free/Starter CRM tiers support private apps (API tokens) with real rate limits (100 req/10s per app, 250,000 req/day per account), scaling up to 1,000,000/day on Enterprise. A solo operator can get API access with no enterprise sales involvement.", "revops_role": "Popular CRM/marketing-hub for SMB-to-mid-market RevOps stacks; the MCP servers let AI coding/agent tools (Claude, Cursor, ChatGPT) read/write HubSpot data directly, alongside HubSpot's own in-product Breeze agents.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://developers.hubspot.com/ai-tools/mcp, https://knowledge.hubspot.com/ai-tools/use-breeze-ai, https://developers.hubspot.com/docs/api/usage-details", "notes": "HubSpot runs two official MCP servers (Remote hosted + local Developer/CLI); numerous unofficial community HubSpot MCP servers also exist (e.g. axonops/hubspot-mcp) and should not be confused with the official one linked above.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://developers.hubspot.com/ai-tools/mcp" ], "source_urls": [ "https://developers.hubspot.com/ai-tools/mcp", "https://knowledge.hubspot.com/ai-tools/use-breeze-ai", "https://developers.hubspot.com/docs/api/usage-details" ], "source_annotations": [], "vendor_domain": "hubspot.com", "display_name": "HubSpot", "docs_url": null, "jobs": [ "run-email-sequence", "draft-personalized-outreach", "answer-inbound-chat", "read-crm-records", "write-crm-records", "run-automation-workflow", "read-pipeline-forecast" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "06-hubspot", "also_listed_in": [ { "id": "12-hubspot", "name": "HubSpot (AI Forecasting)", "category_num": "12", "category_slug": "forecasting-revenue", "source_file": "12-forecasting-revenue.md", "canonical": false } ], "source_file": "06-revops-infra.md", "source_line": 35, "file_index": 1, "category_num": "06", "category_slug": "revops-infra", "category_label": "RevOps Infra", "heading": "HubSpot", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 18 }, { "id": "06-make", "slug": "make", "normalized_name": "make", "name": "Make", "vendor_url": "make.com", "category": "revops-infra", "what_it_does": "A visual, node-based workflow automation platform (\"scenarios\") connecting 3,000+ apps, with newer AI-agent and natural-language-build features layered on top.", "ai_features": "Make AI Agents genuinely use an LLM to reason, choose what to do next, and trigger real workflows, and can analyze unstructured text/documents — but Make's own docs frame agents as operating \"alongside deterministic logic, not instead of it,\" built/debugged inside the same visual scenario canvas with manual approvals or hard stops available. Closer to LLM-reasoning-nodes embedded in classic automation than a fully autonomous runtime. \"Maia by Make\" is a separate natural-language scenario builder (LLM-assisted authoring, not autonomous execution).", "mcp_status": "official", "mcp_url": "https://developers.make.com/mcp-server", "mcp_auth": "Two supported methods — OAuth via Make's cloud (endpoint mcp.make.com) or an MCP Token generated from the user's Make profile, sent as a Bearer token to a per-zone stateless-HTTP endpoint (SSE transport also supported).", "api_gate": "paid for full access — scenario-run tools are available on all plans including Free, but management tools require a paid plan (Core, from $12/mo).", "revops_role": "Same class as Zapier — integration/orchestration layer for a GTM stack; ships both an MCP Server (expose Make scenarios as tools to Claude/ChatGPT/Cursor) and an MCP Client (let Make scenarios consume external MCP servers), a more complete two-way implementation than most competitors here.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.make.com/en/pricing, https://www.make.com/en/ai-agents, https://developers.make.com/mcp-server", "notes": "none", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://developers.make.com/mcp-server" ], "source_urls": [ "https://www.make.com/en/pricing", "https://www.make.com/en/ai-agents", "https://developers.make.com/mcp-server" ], "source_annotations": [], "vendor_domain": "make.com", "display_name": "Make", "docs_url": null, "jobs": [ "sync-records-between-systems", "run-automation-workflow", "proxy-tool-calls-to-saas" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "06-make", "also_listed_in": [], "source_file": "06-revops-infra.md", "source_line": 164, "file_index": 7, "category_num": "06", "category_slug": "revops-infra", "category_label": "RevOps Infra", "heading": "Make (formerly Integromat)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 76 }, { "id": "06-n8n", "slug": "n8n", "normalized_name": "n8n", "name": "n8n", "vendor_url": "n8n.io", "category": "revops-infra", "what_it_does": "A node-based workflow-automation platform for connecting apps/APIs and orchestrating multi-step processes, usable self-hosted or as managed cloud.", "ai_features": "The AI Agent node (built on LangChain) is n8n's genuine AI layer — an LLM (OpenAI, Claude, Gemini, or local via Ollama) that reads context, chooses among connected tools (HTTP calls, DB queries, code, APIs, or MCP servers), and decides its own next step. This is distinct from n8n's traditional deterministic nodes (IF/switch/HTTP request/etc.), which are plain rules-based automation — most of n8n's 400+ integrations fall in that non-AI bucket, and only the LangChain-powered nodes (Agent, Chains, Memory, Vector Store, ~70+ nodes total) are actually LLM-driven.", "mcp_status": "official", "mcp_url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-langchain.mcptrigger (MCP Server Trigger — n8n exposes its own workflows as an MCP server) and https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.toolmcp (MCP Client Tool — an n8n AI Agent calls external MCP servers as tools)", "mcp_auth": "MCP Server Trigger supports Bearer or Header auth to secure the exposed endpoint; supports SSE and streamable-HTTP transport with separate test/production URLs.", "api_gate": "free — Community Edition is free to self-host under n8n's \"fair-code\" Sustainable Use License (source-available, not OSI open source); unlimited workflows/executions/users with no license fee unless reselling n8n's functionality as a product. Managed cloud plans run roughly the low-hundreds-of-dollars/mo range for hosted convenience.", "revops_role": "The general-purpose orchestration layer that glues the other tools (Salesforce, HubSpot, Attio, Pipedrive, Close) together — increasingly an MCP hub in both directions, since it can consume other vendors' MCP servers as an AI Agent's tools and expose its own workflows as an MCP server to other clients.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-langchain.mcptrigger, https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.toolmcp, https://n8n.io/integrations/agent/", "notes": "n8n's MCP nodes are first-party/built-in, not a community add-on — distinguish from third-party community MCP-related packages that also exist in the ecosystem.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-langchain.mcptrigger", "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.toolmcp" ], "source_urls": [ "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-langchain.mcptrigger", "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.toolmcp", "https://n8n.io/integrations/agent/" ], "source_annotations": [], "vendor_domain": "n8n.io", "display_name": "n8n", "docs_url": null, "jobs": [ "sync-records-between-systems", "run-automation-workflow", "proxy-tool-calls-to-saas" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "06-n8n", "also_listed_in": [], "source_file": "06-revops-infra.md", "source_line": 120, "file_index": 5, "category_num": "06", "category_slug": "revops-infra", "category_label": "RevOps Infra", "heading": "n8n", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 25 }, { "id": "06-octave", "slug": "octave", "normalized_name": "octave", "name": "Octave", "vendor_url": "octavehq.com", "category": "revops-infra", "what_it_does": "A GTM context engine that stores a company's ICP, personas, positioning, competitors, proof points, and objections as one structured model, then serves that model to sequences, scripts, and AI agents at runtime through an API and an MCP server so every tool uses the same current messaging.", "ai_features": "Genuinely agentic in parts - an ICP Agent that revises the model from call, email, and deal data, and Managed Agents that run prospect research, qualification, and sequence drafting. Messaging Studio and Motion Builder are LLM generation grounded on the stored Context Graph rather than free generation. The distribution layer itself (resolving context at runtime and pushing updates to connected tools) is plumbing, not AI. All capability claims are vendor-stated.", "mcp_status": "official", "mcp_url": "https://docs.octavehq.com/mcp/overview (endpoint: https://mcp.octavehq.com/mcp?ctx=, HTTP transport, one connection per workspace; vendor capability page: https://www.octavehq.com/capabilities/mcp; Claude Code plugin source: https://github.com/octavehq/lfgtm)", "mcp_auth": "Browser OAuth. Per the vendor's Claude Code setup doc you add the server with \"claude mcp add octave-myWorkspace --transport http https://mcp.octavehq.com/mcp?ctx=YOUR_CONTEXT\" then run /mcp and \"Select the Octave server and authenticate via your browser.\" No API key header path is documented for the MCP. The separate REST API v2 uses a different scheme, an API key passed in an \"Api key\" header, issued from app.octavehq.com.", "api_gate": "paid. A Base plan exists at no cost but is capped (2 workspaces, 1 offering, limited elements, playbooks, and generation) and does not list API or MCP access. MCP, API, CLI/SDK, and the Claude Code plugin are listed under Octave Ultra, which starts at $1,500/month billed annually. Signup is self-serve with a free trial, so a solo operator can reach the product without a sales call, but not the MCP or API tier.", "revops_role": "The context and messaging layer underneath the rest of the stack; it does not send, dial, or route, it supplies the ICP and positioning that the tools which do those things read from at runtime.", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://octavehq.com, https://www.octavehq.com/capabilities/mcp, https://www.octavehq.com/capabilities/api, https://www.octavehq.com/pricing, https://docs.octavehq.com/, https://docs.octavehq.com/mcp/overview, https://docs.octavehq.com/mcp/claude-code, https://docs.octavehq.com/llms.txt, https://github.com/octavehq/lfgtm, https://learn.octavehq.com/, https://www.pulsemcp.com/servers?q=octave", "notes": "Added 2026-08-25 to close a known directory gap (Octave was missing entirely). MCP docs are split across /mcp/overview, /mcp/available-tools, /mcp/claude-code, /mcp/claude-desktop, /mcp/cursor, /mcp/other-editors. The REST API v2 base is https://api.octavehq.com/api/v2/ with an OpenAPI spec at https://docs.octavehq.com/v2-api-reference/openapi.json. IMPORTANT METHOD NOTE: Octave is not listed on PulseMCP (0 results) or Glama. The server is distributed through vendor docs and the octavehq/lfgtm Claude Code plugin, not through registries, so a registry-absence check produces a false negative here. This is direct evidence that a registry-only sweep will miss official servers, and it is the reason the ongoing coverage mechanism cannot be registry diffing alone. NAME COLLISION WARNING: github.com/elevanaltd/octave-mcp and the mcpmarket.com \"Octave\" server are unrelated (the OCTAVE token-compression protocol and GNU Octave script execution respectively); do not cite either as this vendor's MCP. CATEGORY CALL: filed in revops-infra because Octave's own framing is that it is the layer other tools and agents read from, and the product surface backs that up (MCP server, REST API, CLI/SDK, Claude Code plugin, with the Context Graph as the artifact). It has no sender, dialer, or inbox, which rules out 02; its Managed Agents are outputs of the context model rather than a standalone AI rep with a quota, which is what 04 is for.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://docs.octavehq.com/mcp/overview", "https://mcp.octavehq.com/mcp?ctx=", "https://www.octavehq.com/capabilities/mcp", "https://github.com/octavehq/lfgtm" ], "source_urls": [ "https://octavehq.com", "https://www.octavehq.com/capabilities/mcp", "https://www.octavehq.com/capabilities/api", "https://www.octavehq.com/pricing", "https://docs.octavehq.com/", "https://docs.octavehq.com/mcp/overview", "https://docs.octavehq.com/mcp/claude-code", "https://docs.octavehq.com/llms.txt", "https://github.com/octavehq/lfgtm", "https://learn.octavehq.com/", "https://www.pulsemcp.com/servers?q=octave" ], "source_annotations": [], "vendor_domain": "octavehq.com", "display_name": "Octave", "docs_url": "https://docs.octavehq.com/", "jobs": [ "research-account-for-call-prep", "draft-personalized-outreach", "retrieve-sales-content", "score-and-prioritize-leads" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/octavehq/lfgtm", "https://github.com/octavehq/lfgtm" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "06-octave", "also_listed_in": [], "source_file": "06-revops-infra.md", "source_line": 435, "file_index": 19, "category_num": "06", "category_slug": "revops-infra", "category_label": "RevOps Infra", "heading": "Octave", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 80 }, { "id": "06-openprise", "slug": "openprise", "normalized_name": "openprise", "name": "Openprise", "vendor_url": "openprisetech.com", "category": "revops-infra", "what_it_does": "A no-code RevOps data-orchestration platform automating GTM data workflows — list loading, cleansing, deduplication, enrichment, scoring/segmentation, and lead routing across the marketing/sales stack.", "ai_features": "Markets \"AI orchestration\" for turning \"AI pilots into secure, scalable, production-ready workflows\" with context management, hallucination validation, and ROI tracking, but discloses no technical specifics on what is actually LLM-driven versus rule-based. Given the vagueness, treat these AI claims skeptically — the demonstrable, well-documented capability is deterministic no-code data orchestration (matching, dedup, enrichment via \"App Factory\"/\"API Factory\").", "mcp_status": "none-found", "mcp_url": "none-found", "mcp_auth": "n/a", "api_gate": "enterprise-only — no self-serve tier; \"Professional\" starts at $35K/year on a sales-quote model, no published per-seat/self-serve pricing.", "revops_role": "Backend data-quality and orchestration layer for RevOps — the plumbing that cleans, dedupes, enriches, and routes GTM data between CRM/MAP/other systems, rather than a front-end sales tool.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://openprisetech.com, https://openprisetech.com/pricing, https://openprisetech.com/resources, https://openprisetech.com/platform", "notes": "Checked homepage, /docs (404), /platform, and /resources specifically for \"MCP\" — no mention found anywhere. No public API documentation or developer portal was locatable.", "mcp_status_bucket": "none-found", "api_gate_bucket": "enterprise-only", "mcp_urls": [], "source_urls": [ "https://openprisetech.com", "https://openprisetech.com/pricing", "https://openprisetech.com/resources", "https://openprisetech.com/platform" ], "source_annotations": [], "vendor_domain": "openprisetech.com", "display_name": "Openprise", "docs_url": null, "jobs": [ "enrich-company-from-domain", "sync-records-between-systems", "run-automation-workflow", "route-inbound-lead", "score-and-prioritize-leads" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "06-openprise", "also_listed_in": [], "source_file": "06-revops-infra.md", "source_line": 232, "file_index": 10, "category_num": "06", "category_slug": "revops-infra", "category_label": "RevOps Infra", "heading": "Openprise", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 224 }, { "id": "06-ortto", "slug": "ortto", "normalized_name": "ortto", "name": "Ortto", "vendor_url": "ortto.com", "category": "revops-infra", "what_it_does": "A combined customer data platform and marketing automation tool for building multi-channel journeys across email, SMS, push, in-app and live chat.", "ai_features": "The MCP layer gives natural-language access to campaign, audience and report data. The journey logic itself is rules-based automation, not AI.", "mcp_status": "official", "mcp_url": "https://mcp-api-us.ortto.app/mcp (docs: https://help.ortto.com/a-910-ortto-mcp; region variants at mcp-api-eu and mcp-api-au)", "mcp_auth": "A scoped JWT key created as an MCP data source inside the Ortto account, passed as a \"jwt\" query parameter on the URL.", "api_gate": "paid", "revops_role": "Customer data and lifecycle-marketing layer sitting beside the CRM, useful for pulling campaign performance into pipeline analysis.", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://help.ortto.com/a-910-ortto-mcp, https://help.ortto.com/a-911-using-ortto-mcp-with-claude, https://ortto.com/", "notes": "Added 2026-08-25 in the coverage sweep. Endpoints are region-pinned: US, EU and AU variants at mcp-api-us, mcp-api-eu and mcp-api-au respectively, so the wrong region simply will not authenticate. SECURITY DESIGN WORTH FLAGGING TO READERS: the credential is passed as a URL query parameter rather than a header, which means it can land in proxy logs, browser history and referrer headers in a way a header-based key does not. That is a vendor design choice, stated here as an observation from the vendor's own documented setup, not as a tested finding. MCP calls consume the standard Ortto API rate limit for the account's plan. NOT VERIFIED: the minimum plan required for MCP; the vendor states only that a 14-day trial exists.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://mcp-api-us.ortto.app/mcp", "https://help.ortto.com/a-910-ortto-mcp" ], "source_urls": [ "https://help.ortto.com/a-910-ortto-mcp", "https://help.ortto.com/a-911-using-ortto-mcp-with-claude", "https://ortto.com/" ], "source_annotations": [], "vendor_domain": "ortto.com", "display_name": "Ortto", "docs_url": "https://help.ortto.com/a-910-ortto-mcp", "jobs": [ "run-email-sequence", "read-outreach-performance", "answer-inbound-chat", "run-automation-workflow" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "06-ortto", "also_listed_in": [], "source_file": "06-revops-infra.md", "source_line": 495, "file_index": 22, "category_num": "06", "category_slug": "revops-infra", "category_label": "RevOps Infra", "heading": "Ortto", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 81 }, { "id": "06-pipedrive", "slug": "pipedrive", "normalized_name": "pipedrive", "name": "Pipedrive", "vendor_url": "pipedrive.com", "category": "revops-infra", "what_it_does": "A sales-pipeline-focused CRM built around deal-stage visualization and activity tracking for sales teams.", "ai_features": "Not independently characterized beyond the MCP layer in this research pass (marketing claims about a Pipedrive \"Sales Assistant\" were not verified against a primary source) — reported as unknown rather than repeated from memory. The MCP server itself is a connectivity feature, not an AI feature: it exposes CRM actions (search deals, create records, update contacts, schedule activities) to external AI assistants.", "mcp_status": "official", "mcp_url": "https://www.pipedrive.com/en/features/mcp-server", "mcp_auth": "OAuth — \"Connect in minutes through secure OAuth. No coding, no API development, no developer required.\" AI assistants can only see/edit what the logged-in Pipedrive user already has permission for; actions are logged for auditability.", "api_gate": "free (for MCP access) — Pipedrive states the MCP server is available on all plans at no additional charge, metered by a token allotment included per plan with extra tokens purchasable. General (non-MCP) API access terms were not independently re-verified in this pass.", "revops_role": "SMB/mid-market pipeline CRM; positions its MCP server as available to any plan tier, not gated behind enterprise, letting smaller teams connect AI assistants to live deal data without developer resources.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.pipedrive.com/en/features/mcp-server", "notes": "A community/self-hosted alternative exists (github.com/WillDent/pipedrive-mcp-server) but is unofficial and separate from Pipedrive's own native server.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://www.pipedrive.com/en/features/mcp-server" ], "source_urls": [ "https://www.pipedrive.com/en/features/mcp-server" ], "source_annotations": [], "vendor_domain": "pipedrive.com", "display_name": "Pipedrive", "docs_url": null, "jobs": [ "read-crm-records", "write-crm-records", "read-pipeline-forecast" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "06-pipedrive", "also_listed_in": [ { "id": "12-pipedrive", "name": "Pipedrive (AI Sales Assistant / forecasting)", "category_num": "12", "category_slug": "forecasting-revenue", "source_file": "12-forecasting-revenue.md", "canonical": false } ], "source_file": "06-revops-infra.md", "source_line": 79, "file_index": 3, "category_num": "06", "category_slug": "revops-infra", "category_label": "RevOps Infra", "heading": "Pipedrive", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 27 }, { "id": "06-retool", "slug": "retool", "normalized_name": "retool", "name": "Retool", "vendor_url": "retool.com", "category": "revops-infra", "what_it_does": "A low-code platform for building internal tools/dashboards/admin panels on top of databases and APIs; in a GTM context, used to build custom RevOps tooling — lead-routing consoles, deal-desk approval apps, data-correction UIs — on top of the warehouse/CRM.", "ai_features": "Real natural-language app-building (\"prompt full-stack apps on your live production data,\" context-aware @mention editing), AI Workflows (chains AI calls with data/business logic, one-click RAG), and \"AI Agents\" framed as production-ready automations with audit trails — more than a chat-copilot bolt-on, but claims like \"AI Agents handle customer support\" should be read as marketing framing until seen in practice.", "mcp_status": "official (public beta)", "mcp_url": "https://retool.com/blog/retool-mcp-server", "mcp_auth": "OAuth 2.0. Endpoint pattern https:///mcp over HTTP.", "api_gate": "free — the Free plan is self-serve with no sales conversation (unlimited apps, 500 workflow runs/mo, up to 5 users); cheapest paid Team plan is $10/mo per builder, annual.", "revops_role": "The app layer for RevOps — builds custom internal UIs on top of the warehouse/CRM for workflows off-the-shelf tools don't cover (approval flows, override consoles, ops dashboards).", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://retool.com/pricing, https://retool.com/products/ai, https://retool.com/blog/retool-mcp-server", "notes": "The MCP server manages apps/workflows/users (build/edit/deploy apps, run queries, bulk user invites, access audits, resource enumeration) — an admin/dev-ops-facing MCP rather than an end-user data MCP. Available to both cloud and self-hosted customers per the announcement.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://retool.com/blog/retool-mcp-server" ], "source_urls": [ "https://retool.com/pricing", "https://retool.com/products/ai", "https://retool.com/blog/retool-mcp-server" ], "source_annotations": [], "vendor_domain": "retool.com", "display_name": "Retool", "docs_url": null, "jobs": [ "query-data-warehouse", "run-automation-workflow" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "06-retool", "also_listed_in": [], "source_file": "06-revops-infra.md", "source_line": 391, "file_index": 17, "category_num": "06", "category_slug": "revops-infra", "category_label": "RevOps Infra", "heading": "Retool", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 31 }, { "id": "06-salesforce-agentforce", "slug": "salesforce-agentforce", "normalized_name": "salesforce agentforce", "name": "Salesforce (core CRM/platform) + Agentforce", "vendor_url": "salesforce.com", "category": "revops-infra", "what_it_does": "A cloud CRM/platform for managing sales, service, and marketing records via a database, APIs, and a low-code app layer, with Agentforce as a layer on top for configuring autonomous AI agents that read Salesforce data, decide on an action, and execute it or hand off to a human.", "ai_features": "Agentforce is the genuine AI layer — LLM-driven agents that plan and act on CRM data, and as of Agentforce 3 can act as an MCP client to call external MCP servers. The base platform's automation (Flow, process builder) is plain rules-based automation, not AI.", "mcp_status": "official", "mcp_url": "https://github.com/salesforcecli/mcp (Salesforce DX/CLI MCP server, dev-tooling use case); https://developer.salesforce.com/docs/platform/hosted-mcp-servers/guide/hosted-mcp-servers-overview.html and https://github.com/forcedotcom/mcp-hosted (Salesforce Hosted MCP Servers, GA April 2026, external AI clients read/act on live org data)", "mcp_auth": "OAuth + PKCE via an External Client App (scopes mcp_api, refresh_token); every MCP call runs under the authenticated user's own permissions (CRUD/FLS/sharing rules apply), not a service account. The DX/CLI server instead relies on orgs pre-authorized via `sf org login web`.", "api_gate": "enterprise-only for the MCP-enabled path — Salesforce Hosted MCP Servers require Enterprise Edition or above. Raw REST API access is free on Developer Edition sandboxes; production-tier API pricing/inclusion by edition was not independently confirmed and is marked unknown rather than guessed.", "revops_role": "The system-of-record CRM most large/enterprise RevOps stacks are built on; Agentforce + Hosted MCP is Salesforce's play to let external AI tools (or its own agents) read/act on that system of record directly.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://developer.salesforce.com/blogs/2025/06/introducing-mcp-support-across-salesforce, https://developer.salesforce.com/blogs/2026/04/salesforce-hosted-mcp-servers-are-now-generally-available, https://github.com/salesforcecli/mcp, https://developer.salesforce.com/docs/platform/hosted-mcp-servers/guide/hosted-mcp-servers-overview.html, https://developer.salesforce.com/blogs/2026/07 (Headless 360 MCP Server Beta announcement)", "notes": "The Headless 360 MCP Server (beta, July 2026) exposes only four tools — Discover, Describe, Dispatch, Dispatch Read Only — that map to a growing skill library, rather than one tool per Salesforce operation; a deliberate design choice to avoid thousands of individual MCP tools. Agentforce and Hosted MCP Server pricing were not disclosed in sources found — unknown, not guessed.", "mcp_status_bucket": "official", "api_gate_bucket": "enterprise-only", "mcp_urls": [ "https://github.com/salesforcecli/mcp", "https://developer.salesforce.com/docs/platform/hosted-mcp-servers/guide/hosted-mcp-servers-overview.html", "https://github.com/forcedotcom/mcp-hosted" ], "source_urls": [ "https://developer.salesforce.com/blogs/2025/06/introducing-mcp-support-across-salesforce", "https://developer.salesforce.com/blogs/2026/04/salesforce-hosted-mcp-servers-are-now-generally-available", "https://github.com/salesforcecli/mcp", "https://developer.salesforce.com/docs/platform/hosted-mcp-servers/guide/hosted-mcp-servers-overview.html", "https://developer.salesforce.com/blogs/2026/07" ], "source_annotations": [ "(Headless 360 MCP Server Beta announcement)" ], "vendor_domain": "salesforce.com", "display_name": "Salesforce (core CRM/platform) + Agentforce", "docs_url": null, "jobs": [ "run-autonomous-sdr-agent", "answer-inbound-chat", "read-crm-records", "write-crm-records", "run-automation-workflow" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/salesforcecli/mcp", "https://github.com/forcedotcom/mcp-hosted", "https://github.com/salesforcecli/mcp" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "06-salesforce-agentforce", "also_listed_in": [ { "id": "04-salesforce-agentforce", "name": "Salesforce Agentforce (SDR Agent)", "category_num": "04", "category_slug": "ai-sdr-agents", "source_file": "04-ai-sdr-agents.md", "canonical": false } ], "source_file": "06-revops-infra.md", "source_line": 11, "file_index": 0, "category_num": "06", "category_slug": "revops-infra", "category_label": "RevOps Infra", "heading": "Salesforce (+ Agentforce)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 118 }, { "id": "06-snowflake", "slug": "snowflake", "normalized_name": "snowflake", "name": "Snowflake (Cortex AI, as GTM/RevOps warehouse layer)", "vendor_url": "snowflake.com", "category": "revops-infra", "what_it_does": "Cloud data warehouse that acts as the central store where GTM data (CRM, product usage, marketing, support) gets modeled and joined; increasingly the platform other reverse-ETL tools (Hightouch, Fivetran Activations) and app tools (Retool, Superblocks) sit on top of.", "ai_features": "Genuinely substantial — Cortex Analyst (natural-language-to-SQL, GA), Cortex Search (semantic/unstructured search for RAG), Cortex AI Functions/AISQL (multimodal text/image/audio via SQL), native serverless access to Claude/Llama/Mistral model endpoints, and Cortex Agents (orchestration across structured and unstructured data). Newer, less-established additions — \"Snowflake CoWork\" (personal work agent) and \"Snowflake CoCo\" (AI coding agent) — are flagged as less proven than the Cortex core.", "mcp_status": "official", "mcp_url": "https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-agents-mcp", "mcp_auth": "Snowflake OAuth 2.0 by default, or External OAuth (Okta, Microsoft Entra ID); hardcoded PATs/tokens are explicitly discouraged. Exposes Cortex Agent, Cortex Analyst (semantic views only), Cortex Search, read-only SQL execution, and custom UDF/stored-procedure tools, capped at 50 tools per server.", "api_gate": "free — a 30-day self-serve trial requires no payment info; Cortex AI functions are capped at roughly 10 credits/day on trial without a payment method attached.", "revops_role": "The warehouse/data layer everything else in a modern RevOps stack reads from or writes to — the source-of-truth GTM data model sits here, with Cortex increasingly used to let RevOps ask natural-language questions of that data directly.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.snowflake.com/en/data-cloud/cortex/, https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-agents-mcp, https://docs.snowflake.com/en/user-guide/admin-trial-account", "notes": "The community github.com/Snowflake-Labs/mcp repo is explicitly deprecated — its README states \"This project is deprecated and no longer maintained. Please migrate to the official Snowflake MCP Server,\" linking to the docs.snowflake.com URL above. Do not cite Snowflake-Labs/mcp as current; the officially-supported, Snowflake-managed MCP server is the one at docs.snowflake.com (GA, but not supported in government regions).", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-agents-mcp" ], "source_urls": [ "https://www.snowflake.com/en/data-cloud/cortex/", "https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-agents-mcp", "https://docs.snowflake.com/en/user-guide/admin-trial-account" ], "source_annotations": [], "vendor_domain": "snowflake.com", "display_name": "Snowflake (Cortex AI, as GTM/RevOps warehouse layer)", "docs_url": null, "jobs": [ "query-data-warehouse" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "06-snowflake", "also_listed_in": [], "source_file": "06-revops-infra.md", "source_line": 369, "file_index": 16, "category_num": "06", "category_slug": "revops-infra", "category_label": "RevOps Infra", "heading": "Snowflake (as GTM data layer)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 32 }, { "id": "06-superblocks", "slug": "superblocks", "normalized_name": "superblocks", "name": "Superblocks", "vendor_url": "superblocks.com", "category": "revops-infra", "what_it_does": "A platform for building — and more distinctively, governing — AI-generated internal apps: lets business teams build apps (including importing prototypes from Claude, Lovable, or Replit) while giving IT/Security a control layer over integrations, permissions, and auditing.", "ai_features": "A \"Clark AI agent\" for app development plus prototype-import from AI coding tools; the more unique angle is AI-app governance (usage monitoring, permission auditing, threat detection across AI-built apps) rather than Superblocks itself being a novel generative engine — much of the \"AI\" framing here is about controlling other tools' AI output.", "mcp_status": "official", "mcp_url": "https://superblocks.com/blog/superblocks-mcp", "mcp_auth": "unknown — the announcement doesn't specify the auth method; the feature is Enterprise-only, implying an admin/OAuth-gated setup, but this isn't documented in what was found.", "api_gate": "paid — no free tier; cheapest self-serve entry is the Teams plan at $100/mo annual with a 14-day free trial. The MCP feature itself is Enterprise-exclusive, so a solo operator can use the base product self-serve but cannot reach the MCP capability without an enterprise plan.", "revops_role": "Adjacent to Retool — an internal-app builder, but positioned specifically as the IT/security control plane for a world where GTM/ops teams are building their own AI-assisted apps; not itself a core data-pipeline tool.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://superblocks.com/, https://superblocks.com/pricing, https://superblocks.com/blog/superblocks-mcp", "notes": "Superblocks MCP is a different category of MCP than the rest of this file — it isn't \"connect an AI agent to move/query GTM data,\" it's \"give IT admins programmatic visibility and control over every AI-built app, integration, and permission in the org\" (identify malicious packages, detect unusual write patterns, alert on permission changes, correlate audit logs to builders).", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://superblocks.com/blog/superblocks-mcp" ], "source_urls": [ "https://superblocks.com/", "https://superblocks.com/pricing", "https://superblocks.com/blog/superblocks-mcp" ], "source_annotations": [], "vendor_domain": "superblocks.com", "display_name": "Superblocks", "docs_url": null, "jobs": [], "jobs_tagged_by": null, "jobs_tagged_on": null, "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "06-superblocks", "also_listed_in": [], "source_file": "06-revops-infra.md", "source_line": 413, "file_index": 18, "category_num": "06", "category_slug": "revops-infra", "category_label": "RevOps Infra", "heading": "Superblocks", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 95 }, { "id": "06-syncari", "slug": "syncari", "normalized_name": "syncari", "name": "Syncari", "vendor_url": "syncari.com", "category": "revops-infra", "what_it_does": "An \"agentic master data management\" (MDM) platform that unifies data across CRM/ERP/warehouse systems in real time and exposes that unified data to both humans (dashboards/BI) and AI agents.", "ai_features": "Markets agentic MDM with autonomous policy enforcement, bias detection, anomaly detection, and data-lineage tracking, plus a \"Master MCP Server\" that explicitly lets LLM agents (names Claude, Gemini, and OpenAI SDKs specifically) reason/decide/act on live governed data rather than just read it, with entity/field-level access control and audit-ready logs — a more substantive, specific AI-agent integration claim than Openprise's, though the site still doesn't disclose model/architecture internals.", "mcp_status": "official", "mcp_url": "https://syncari.com/mcp-server/", "mcp_auth": "unknown — the MCP server page describes real-time, entity/field-level access control and audit logging but does not state whether connection auth is API key, OAuth, or SSO-only.", "api_gate": "enterprise-only — no published tiers or self-serve signup; a single \"Simple, Predictable Pricing\" plan is gated entirely behind a sales demo/call.", "revops_role": "Sits underneath the whole GTM stack as the master-data/unification layer (similar niche to Openprise but positioned more toward enterprise MDM/data governance), now also serving as a data-access layer for other AI agents across the org.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://syncari.com, https://syncari.com/mcp-server/, https://syncari.com/pricing", "notes": "help.syncari.com does not resolve — no separate public help-center subdomain found; all documentation lives on the main marketing domain.", "mcp_status_bucket": "official", "api_gate_bucket": "enterprise-only", "mcp_urls": [ "https://syncari.com/mcp-server/" ], "source_urls": [ "https://syncari.com", "https://syncari.com/mcp-server/", "https://syncari.com/pricing" ], "source_annotations": [], "vendor_domain": "syncari.com", "display_name": "Syncari", "docs_url": null, "jobs": [ "sync-records-between-systems" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "06-syncari", "also_listed_in": [], "source_file": "06-revops-infra.md", "source_line": 255, "file_index": 11, "category_num": "06", "category_slug": "revops-infra", "category_label": "RevOps Infra", "heading": "Syncari", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 123 }, { "id": "06-zapier", "slug": "zapier", "normalized_name": "zapier", "name": "Zapier", "vendor_url": "zapier.com", "category": "revops-infra", "what_it_does": "A cloud automation platform connecting thousands of apps via trigger-action workflows (Zaps), plus a separate agent product.", "ai_features": "Two distinct tiers. Classic Zaps are deterministic trigger-action automations — not AI. Zapier Agents are genuinely LLM-driven: built with a Copilot, they run autonomously (\"on command and while you sleep\"), reason over business context/documents, retry different approaches, and can escalate to a human — real agentic behavior, not relabeled workflow logic.", "mcp_status": "official", "mcp_url": "https://zapier.com/mcp (connection endpoint https://mcp.zapier.com)", "mcp_auth": "Reuses Zapier's existing 13+ year credential infrastructure — connect an AI client (Claude, ChatGPT, Cursor) through a guided ~5-minute flow that auto-imports app connections already authorized on the account; effectively OAuth/account-login-style rather than a bare API key.", "api_gate": "free — MCP/AI-product access is included on all plans including Free (100 tasks/mo); each MCP action consumes 2 tasks from the normal quota.", "revops_role": "General-purpose integration/automation backbone connecting CRM, marketing, and sales tools; increasingly positioned as an agent-orchestration layer that can act across a RevOps stack, not just move data.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://zapier.com/mcp, https://zapier.com/agents, https://zapier.com/pricing", "notes": "Zapier's own stated scale claims (195,000+ MCP servers created, 4.6M+ tool calls, 250,000+ apps connected) are vendor-reported, not independently verified.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://zapier.com/mcp", "https://mcp.zapier.com" ], "source_urls": [ "https://zapier.com/mcp", "https://zapier.com/agents", "https://zapier.com/pricing" ], "source_annotations": [], "vendor_domain": "zapier.com", "display_name": "Zapier", "docs_url": null, "jobs": [ "sync-records-between-systems", "run-automation-workflow", "proxy-tool-calls-to-saas" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "06-zapier", "also_listed_in": [], "source_file": "06-revops-infra.md", "source_line": 142, "file_index": 6, "category_num": "06", "category_slug": "revops-infra", "category_label": "RevOps Infra", "heading": "Zapier", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 39 }, { "id": "07-apideck", "slug": "apideck", "normalized_name": "apideck", "name": "Apideck", "vendor_url": "apideck.com", "category": "mcp-infrastructure", "what_it_does": "A unified API that normalises 200+ SaaS connectors into single data models, exposed as one MCP endpoint covering CRM, accounting, HRIS, ATS, file storage and issue tracking.", "ai_features": "A dynamic mode that exposes only four meta-tools so the agent discovers and executes tools on demand instead of loading every schema up front, cutting the context cost to roughly 1,300 tokens. That is a genuine agent-design feature rather than an AI claim.", "mcp_status": "official", "mcp_url": "https://github.com/apideck-libraries/mcp (docs: https://developers.apideck.com/mcp; hosted endpoint: see the caveat in notes)", "mcp_auth": "Managed OAuth via Apideck Vault on the hosted endpoint, or x-apideck-api-key plus x-apideck-app-id plus x-apideck-consumer-id headers for direct use.", "api_gate": "free", "revops_role": "One integration layer so an agent can read and write across every CRM in a portfolio without wiring each vendor separately; the multi-CRM abstraction a GTM agent needs when it cannot assume which CRM it will meet.", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://developers.apideck.com/mcp, https://www.apideck.com/mcp-server, https://github.com/apideck-libraries/mcp", "notes": "Added 2026-08-25 in the coverage sweep. CAVEAT ON THE ENDPOINT: two different hosted endpoints appear in the vendor's own material, mcp.apideck.com in the developer docs and mcp.apideck.dev on the marketing page. Confirm which is current before wiring it up; the GitHub repo is cited as mcp_url because it is the one unambiguous vendor-owned artifact. Signup is self-serve and free to start, but the paid tier thresholds are not published, so \"free\" here means free-to-start, not free-at-volume. The four-meta-tool dynamic mode is the same design problem the Salesforce Hosted MCP entry (06) solves with Discover/Describe/Dispatch, and the two make a natural pair for a segment on how not to dump 3,000 tools on an agent.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://github.com/apideck-libraries/mcp", "https://developers.apideck.com/mcp" ], "source_urls": [ "https://developers.apideck.com/mcp", "https://www.apideck.com/mcp-server", "https://github.com/apideck-libraries/mcp" ], "source_annotations": [], "vendor_domain": "apideck.com", "display_name": "Apideck", "docs_url": "https://developers.apideck.com/mcp", "jobs": [ "read-crm-records", "write-crm-records", "proxy-tool-calls-to-saas" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/apideck-libraries/mcp", "https://github.com/apideck-libraries/mcp" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "07-apideck", "also_listed_in": [], "source_file": "07-mcp-infrastructure.md", "source_line": 259, "file_index": 12, "category_num": "07", "category_slug": "mcp-infrastructure", "category_label": "MCP Layer", "heading": "Apideck", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 2 }, { "id": "07-claude-anthropic-mcp-connector-directory", "slug": "claude-anthropic-mcp-connector-directory", "normalized_name": "claude anthropic mcp connector directory", "name": "Claude / Anthropic MCP Connector Directory", "vendor_url": "claude.com/partners/mcp", "category": "mcp-infrastructure", "what_it_does": "Anthropic's own curated, in-product directory of MCP connectors that Claude users can browse and one-click-connect to, filterable by use case (sales, marketing, data, etc.) and by capability (read / read-write / interactive).", "ai_features": "none in the directory itself — it is a discovery/connection UI inside Claude, not an AI feature; the AI is Claude, using whichever connector you authorize.", "mcp_status": "n/a (this is Anthropic's own directory, not a single vendor's MCP)", "mcp_url": "https://www.claude.com/partners/mcp", "mcp_auth": "Per-connector OAuth — Claude shows the requested scopes at connect time and lets the user limit or deny them; connectors are built and maintained by third-party developers against the MCP spec, with Anthropic publishing separate MCP Directory Terms and Policies for listed providers.", "api_gate": "free (custom/remote connectors: Free plan is limited to one custom connector; Pro, Max, Team, and Enterprise get unlimited custom connectors — no separate paid tier just to use the directory)", "revops_role": "The most mainstream on-ramp for a non-engineer GTM user to connect Claude directly to their stack; listed connectors during this check included CRM/sales tools (ActiveCampaign, Apollo.io, Affinity), analytics, and productivity apps, filterable by \"sales\" use case.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.claude.com/partners/mcp, https://support.claude.com/en/articles/11175166-getting-started-with-custom-connectors-using-remote-mcp", "notes": "Because each connector is built and operated by its own third-party developer (not Anthropic), the trust/auth posture varies connector-by-connector — Anthropic's role here is curation and the OAuth consent screen, not custody of your credentials.", "mcp_status_bucket": "n-a", "api_gate_bucket": "free", "mcp_urls": [ "https://www.claude.com/partners/mcp" ], "source_urls": [ "https://www.claude.com/partners/mcp", "https://support.claude.com/en/articles/11175166-getting-started-with-custom-connectors-using-remote-mcp" ], "source_annotations": [], "vendor_domain": "claude.com", "display_name": "Claude / Anthropic MCP Connector Directory", "docs_url": null, "jobs": [ "discover-mcp-servers" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "07-claude-anthropic-mcp-connector-directory", "also_listed_in": [], "source_file": "07-mcp-infrastructure.md", "source_line": 196, "file_index": 9, "category_num": "07", "category_slug": "mcp-infrastructure", "category_label": "MCP Layer", "heading": "Anthropic's Connector Directory", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 172 }, { "id": "07-composio", "slug": "composio", "normalized_name": "composio", "name": "Composio", "vendor_url": "composio.dev", "category": "mcp-infrastructure", "what_it_does": "A hosted integration/auth platform that lets AI agents and MCP clients call actions across 1,000+ SaaS apps (HubSpot, Slack, Gmail, GitHub, Notion, Stripe, and others) through Composio-managed OAuth.", "ai_features": "none in Composio itself — it is tool/auth plumbing that any LLM or agent framework (Claude, GPT, LangChain, CrewAI, or a raw MCP client) calls into. The \"AI\" is whichever agent is on the other end, not something Composio adds.", "mcp_status": "official", "mcp_url": "https://docs.composio.dev/mcp/overview", "mcp_auth": "Composio brokers OAuth for each connected toolkit (HubSpot, Gmail, Slack, etc.) on the user's behalf, then gates the MCP endpoint itself with an x-api-key header (required by default for new orgs). MCP endpoint pattern is https://backend.composio.dev/v3/mcp/{server_id}?user_id={user_id}.", "api_gate": "free (100K tool calls/mo, 50K trigger events/mo, unlimited connections on the Free plan, no credit card)", "revops_role": "The connector layer a solo RevOps engineer reaches for instead of hand-building OAuth + API wrappers for a dozen GTM tools one at a time.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://composio.dev, https://composio.dev/pricing, https://docs.composio.dev/mcp/overview", "notes": "Composio holds the OAuth tokens for every connected toolkit — it is a custodial broker, not a pass-through. Pro tier ($29/mo) adds pay-as-you-scale overage at $0.0003/tool call; Enterprise adds SSO/SCIM and a KMS proxy for teams that don't want Composio holding raw tokens.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://docs.composio.dev/mcp/overview" ], "source_urls": [ "https://composio.dev", "https://composio.dev/pricing", "https://docs.composio.dev/mcp/overview" ], "source_annotations": [], "vendor_domain": "composio.dev", "display_name": "Composio", "docs_url": null, "jobs": [ "proxy-tool-calls-to-saas" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "07-composio", "also_listed_in": [], "source_file": "07-mcp-infrastructure.md", "source_line": 11, "file_index": 0, "category_num": "07", "category_slug": "mcp-infrastructure", "category_label": "MCP Layer", "heading": "Composio", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 10 }, { "id": "07-glama", "slug": "glama", "normalized_name": "glama", "name": "Glama (MCP directory)", "vendor_url": "glama.ai", "category": "mcp-infrastructure", "what_it_does": "A large searchable registry/catalog of open-source MCP servers (77,000+ listed as of this check), filterable by language, hosting type (remote/local/hybrid), capability, and category; also offers separate hosting services.", "ai_features": "none — a catalog/search layer, not an AI product.", "mcp_status": "n/a (Glama is the directory itself)", "mcp_url": "https://glama.ai/mcp/servers", "mcp_auth": "Varies per listed server; Glama promotes several \"no API key required\" servers but does not itself broker auth for the catalog as a whole the way Smithery's agent.pw does.", "api_gate": "unknown (pricing page referenced but not disclosed in the fetched content)", "revops_role": "Useful as a discovery/search tool for finding a self-hosted or community MCP server for a niche need; mainstream GTM/CRM platforms (Salesforce, HubSpot, Slack, Gmail) were not prominently featured in what was surfaced — the catalog skews toward databases, dev tools, and self-hosted/local-first servers.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://glama.ai/mcp/servers", "notes": "Glama's emphasis on local-first/self-hosted servers makes it a better fit for privacy-conscious infra teams than for someone looking for one-click hosted GTM connectors.", "mcp_status_bucket": "n-a", "api_gate_bucket": "unknown", "mcp_urls": [ "https://glama.ai/mcp/servers" ], "source_urls": [ "https://glama.ai/mcp/servers" ], "source_annotations": [], "vendor_domain": "glama.ai", "display_name": "Glama (MCP directory)", "docs_url": null, "jobs": [ "discover-mcp-servers" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "07-glama", "also_listed_in": [], "source_file": "07-mcp-infrastructure.md", "source_line": 116, "file_index": 5, "category_num": "07", "category_slug": "mcp-infrastructure", "category_label": "MCP Layer", "heading": "Glama", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 175 }, { "id": "07-klavis-ai", "slug": "klavis-ai", "normalized_name": "klavis ai", "name": "Klavis AI", "vendor_url": "klavis.ai", "category": "mcp-infrastructure", "what_it_does": "Primarily an AI-agent training-data company — it builds \"live environments for training AI agents\" (long-horizon coding tasks and agentic tool-use scenarios), and separately mentions \"production MCP servers\" and \"600+ real tools and SaaS apps\" as part of that training-data infrastructure.", "ai_features": "The product itself generates training/eval data for frontier model development (dockerized coding environments, programmatic verification, reward signals) — it is not positioned, in what was found, as a live GTM connector layer the way Composio/Pipedream/Metorial are.", "mcp_status": "none-found", "mcp_url": "none-found", "mcp_auth": "unknown — not disclosed in the fetched content", "api_gate": "unknown — pricing page referenced but not disclosed in the fetched content", "revops_role": "Unclear fit for a solo GTM operator based on what's public — reads as an AI-lab infrastructure vendor (agent training data) rather than a connector service a RevOps team would wire into a live workflow. Flagging this mismatch explicitly rather than assuming it belongs alongside Composio/Pipedream.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.klavis.ai, https://klavis.ai/pricing (fetched; no pricing figures returned)", "notes": "Included per the research brief's seed list, but the public-facing material found positions Klavis as an AI-agent training/eval company first, not a GTM-facing hosted-MCP aggregator — treat any \"GTM connector\" framing of Klavis with caution until a clearer product page is found.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.klavis.ai", "https://klavis.ai/pricing" ], "source_annotations": [ "(fetched; no pricing figures returned)" ], "vendor_domain": "klavis.ai", "display_name": "Klavis AI", "docs_url": null, "jobs": [], "jobs_tagged_by": null, "jobs_tagged_on": null, "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "07-klavis-ai", "also_listed_in": [], "source_file": "07-mcp-infrastructure.md", "source_line": 217, "file_index": 10, "category_num": "07", "category_slug": "mcp-infrastructure", "category_label": "MCP Layer", "heading": "Klavis", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 255 }, { "id": "07-mcp-run-turbomcp", "slug": "mcp-run-turbomcp", "normalized_name": "mcp run turbomcp", "name": "mcp.run / TurboMCP", "vendor_url": "turbomcp.ai (mcp.run now 301-redirects here)", "category": "mcp-infrastructure", "what_it_does": "An enterprise self-hosted MCP gateway and management platform — a trusted, admin-curated registry plus RBAC-controlled deployment of MCP servers across a team's own infrastructure (K8s, PaaS, VMs).", "ai_features": "none — this is a gateway/governance layer for MCP traffic, not an AI product.", "mcp_status": "official (this is infrastructure for running/gating other servers' MCP endpoints, not a single server itself)", "mcp_url": "https://turbomcp.ai", "mcp_auth": "Integrates with a team's own OIDC-compatible identity provider; handles OAuth and Dynamic Client Registration for the servers it fronts.", "api_gate": "unknown (pricing not disclosed on the fetched page)", "revops_role": "Relevant to a RevOps/IT team that wants centralized control over which MCP servers its agents can reach, rather than an individual operator's connector of choice.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.mcp.run (redirects to turbomcp.ai, confirmed 301), https://turbomcp.ai", "notes": "mcp.run — originally a lightweight community MCP server registry — now redirects permanently to TurboMCP, an enterprise self-hosted gateway product. The fetched TurboMCP page does not mention its mcp.run history, so the nature/terms of that transition are unconfirmed; flagged as a gap rather than guessed.", "mcp_status_bucket": "official", "api_gate_bucket": "unknown", "mcp_urls": [ "https://turbomcp.ai" ], "source_urls": [ "https://www.mcp.run", "https://turbomcp.ai" ], "source_annotations": [ "(redirects to turbomcp.ai, confirmed 301)" ], "vendor_domain": "turbomcp.ai", "display_name": "mcp.run / TurboMCP", "docs_url": null, "jobs": [ "discover-mcp-servers", "proxy-tool-calls-to-saas" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "07-mcp-run-turbomcp", "also_listed_in": [], "source_file": "07-mcp-infrastructure.md", "source_line": 75, "file_index": 3, "category_num": "07", "category_slug": "mcp-infrastructure", "category_label": "MCP Layer", "heading": "mcp.run (now TurboMCP)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 135 }, { "id": "07-mcp-so", "slug": "mcp-so", "normalized_name": "mcp so", "name": "mcp.so", "vendor_url": "mcp.so", "category": "mcp-infrastructure", "what_it_does": "A community MCP server/client directory (per its public reputation as one of the earlier MCP catalog sites) — could not independently re-verify current content in this research pass.", "ai_features": "unknown", "mcp_status": "unknown", "mcp_url": "none-found", "mcp_auth": "unknown", "api_gate": "unknown", "revops_role": "unknown — cannot confirm GTM-relevant server coverage without a successful fetch.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://mcp.so (attempted; site returned HTTP 403 to automated fetch on every attempt, including /servers)", "notes": "Per the two-tier honesty rule and the \"no invented facts\" law, this entry is intentionally thin — mcp.so blocked automated access (403 Forbidden) on every fetch attempt during this research pass, and web search was unavailable (session quota exhausted). Do not treat this listing as verified; re-run research with a live browser session before publishing anything more specific than \"a community MCP directory exists at this URL.\"", "mcp_status_bucket": "unknown", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://mcp.so" ], "source_annotations": [ "(attempted; site returned HTTP 403 to automated fetch on every attempt, including /servers)" ], "vendor_domain": "mcp.so", "display_name": "mcp.so", "docs_url": null, "jobs": [], "jobs_tagged_by": null, "jobs_tagged_on": null, "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "07-mcp-so", "also_listed_in": [], "source_file": "07-mcp-infrastructure.md", "source_line": 156, "file_index": 7, "category_num": "07", "category_slug": "mcp-infrastructure", "category_label": "MCP Layer", "heading": "mcp.so", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 171 }, { "id": "07-metorial", "slug": "metorial", "normalized_name": "metorial", "name": "Metorial", "vendor_url": "metorial.com", "category": "mcp-infrastructure", "what_it_does": "A hosted MCP gateway that gives AI agents/\"AI employees\" centralized, governed access to a company's SaaS tools (Google Workspace, Microsoft 365, GitHub, Jira, Slack, Teams, Stripe, Salesforce, Zendesk, and custom internal systems) through one integration point.", "ai_features": "none in Metorial itself — it is connector/governance infrastructure for agents built elsewhere.", "mcp_status": "official", "mcp_url": "https://metorial.com", "mcp_auth": "Fully custodial — Metorial stores and centrally manages OAuth tokens for every connected integration (\"no tokens to manage\" for the end user), with company login handled via SSO/SAML (Okta, Azure AD, Google Workspace) and each integration isolated from the others.", "api_gate": "paid (Metorial Dev is free — 500K tool calls/mo, 2 team members, 10 provider integrations; Metorial Scale is $250/mo — 2.5M tool calls/mo, 20 team members, unlimited integrations; Enterprise is custom, adding on-prem deployment, SOC 2/GDPR, RBAC, and SSO/SAML)", "revops_role": "An enterprise-governance-flavored alternative to Composio/Pipedream — pitched at companies that want a single audited chokepoint (with tracing and access policies) for every agent-to-SaaS connection, including Salesforce.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://metorial.com, https://metorial.com/pricing", "notes": "Metorial is explicitly and fully custodial of OAuth tokens across every connected app — the entire pitch is \"no tokens to manage\" because Metorial manages them centrally. That is a meaningfully bigger trust concentration than Zapier MCP (reuses Zapier's existing per-app OAuth) or Anthropic's directory (per-connector, third-party-operated) — worth flagging to anyone evaluating it for a Salesforce/finance-adjacent connection.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://metorial.com" ], "source_urls": [ "https://metorial.com", "https://metorial.com/pricing" ], "source_annotations": [], "vendor_domain": "metorial.com", "display_name": "Metorial", "docs_url": null, "jobs": [ "proxy-tool-calls-to-saas" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "07-metorial", "also_listed_in": [], "source_file": "07-mcp-infrastructure.md", "source_line": 238, "file_index": 11, "category_num": "07", "category_slug": "mcp-infrastructure", "category_label": "MCP Layer", "heading": "Metorial", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 77 }, { "id": "07-model-context-protocol-official-servers-repo", "slug": "model-context-protocol-official-servers-repo", "normalized_name": "model context protocol official servers repo", "name": "Model Context Protocol — official servers repo", "vendor_url": "github.com/modelcontextprotocol/servers", "category": "mcp-infrastructure", "what_it_does": "The official reference-implementation repository for MCP, \"managed by Anthropic, but built together with the community\" — ships a small set of maintained example servers (Everything, Fetch, Filesystem, Git, Memory, Sequential Thinking, Time) intended as educational references, not production integrations.", "ai_features": "none — reference server code, not an AI product.", "mcp_status": "official", "mcp_url": "https://github.com/modelcontextprotocol/servers", "mcp_auth": "Per-server — individual servers take credentials (e.g. API tokens) via environment variables or CLI args where needed; the repo itself has no central auth layer.", "api_gate": "free (open source; dual-licensed Apache 2.0 for new contributions, MIT for existing code)", "revops_role": "Not a GTM connector layer directly — the major third-party integration servers (GitHub, Slack, Google Drive, etc.) that once lived here have been archived out to a separate, community/externally-maintained repo. Relevant mainly as the canonical spec reference, not a place to find Salesforce/HubSpot servers.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://github.com/modelcontextprotocol/servers", "notes": "Worth flagging plainly for anyone assuming this repo is a live GTM connector catalog — it isn't anymore. The maintained set is down to seven small reference servers; real-world integrations have moved to community repos or vendor-hosted official servers (Salesforce, HubSpot, Attio, etc. — see 06-revops-infra.md).", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://github.com/modelcontextprotocol/servers" ], "source_urls": [ "https://github.com/modelcontextprotocol/servers" ], "source_annotations": [], "vendor_domain": "github.com", "display_name": "Model Context Protocol - official servers repo", "docs_url": null, "jobs": [], "jobs_tagged_by": null, "jobs_tagged_on": null, "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/modelcontextprotocol/servers", "https://github.com/modelcontextprotocol/servers" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "07-model-context-protocol-official-servers-repo", "also_listed_in": [], "source_file": "07-mcp-infrastructure.md", "source_line": 176, "file_index": 8, "category_num": "07", "category_slug": "mcp-infrastructure", "category_label": "MCP Layer", "heading": "modelcontextprotocol/servers (official reference repo)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 24 }, { "id": "07-pipedream-mcp", "slug": "pipedream-mcp", "normalized_name": "pipedream mcp", "name": "Pipedream MCP", "vendor_url": "pipedream.com", "category": "mcp-infrastructure", "what_it_does": "Pipedream's existing workflow/integration platform re-exposed as hosted MCP servers, giving an MCP client access to 3,000+ connected apps and 10,000+ pre-built tools via Pipedream Connect.", "ai_features": "none in Pipedream itself — same pattern as Composio, it is connector infrastructure an external LLM/agent calls into, not a model or agent of its own.", "mcp_status": "official", "mcp_url": "https://mcp.pipedream.com", "mcp_auth": "OAuth/API-key credentials for each underlying app are stored by Pipedream and isolated per end user; Pipedream states credentials are \"never exposed to AI models or client-side code\" and all calls route server-side through its infrastructure.", "api_gate": "paid (free for personal use and development; a paid plan is required once you deploy to production)", "revops_role": "Same slot as Composio — a hosted connector layer, notable for breadth (3,000+ apps) rather than GTM-specific depth.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://mcp.pipedream.com, https://pipedream.com/docs/connect/mcp", "notes": "Pipedream is custodial like Composio — it stores end-user credentials server-side rather than passing them through. Could not confirm exact production-tier pricing numbers in this pass (pricing docs page 404'd); marked unknown rather than guessed. GTM apps (Salesforce, HubSpot) were not explicitly named in the fetched docs, only implied by the \"3,000+ apps\" breadth claim.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://mcp.pipedream.com" ], "source_urls": [ "https://mcp.pipedream.com", "https://pipedream.com/docs/connect/mcp" ], "source_annotations": [], "vendor_domain": "pipedream.com", "display_name": "Pipedream MCP", "docs_url": null, "jobs": [ "proxy-tool-calls-to-saas" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "07-pipedream-mcp", "also_listed_in": [], "source_file": "07-mcp-infrastructure.md", "source_line": 33, "file_index": 1, "category_num": "07", "category_slug": "mcp-infrastructure", "category_label": "MCP Layer", "heading": "Pipedream (MCP)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 83 }, { "id": "07-pulsemcp", "slug": "pulsemcp", "normalized_name": "pulsemcp", "name": "PulseMCP", "vendor_url": "pulsemcp.com", "category": "mcp-infrastructure", "what_it_does": "A community-run browsable directory and news hub for the MCP ecosystem (servers, clients, use cases, and a newsletter called \"The Agentic Loop\") that links out to third-party servers rather than hosting them.", "ai_features": "none — an information/discovery site.", "mcp_status": "n/a (PulseMCP is a directory, not a vendor MCP)", "mcp_url": "https://www.pulsemcp.com", "mcp_auth": "n/a — it is a directory; auth happens with whichever server you follow a link to, not with PulseMCP itself.", "api_gate": "free (no pricing found; positioned as a free community resource)", "revops_role": "A discovery/news layer for staying current on the MCP ecosystem rather than a connector a RevOps stack integrates with directly.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.pulsemcp.com", "notes": "As of this check, PulseMCP stated new server submissions and listing changes were paused \"until mid-August\" while it reworked its ingestion process — worth rechecking freshness before citing its listings as current. Maintained in part by a member of the MCP Steering Committee, giving it some standing as an unofficial-but-credible hub alongside the official GitHub registry.", "mcp_status_bucket": "n-a", "api_gate_bucket": "free", "mcp_urls": [ "https://www.pulsemcp.com" ], "source_urls": [ "https://www.pulsemcp.com" ], "source_annotations": [], "vendor_domain": "pulsemcp.com", "display_name": "PulseMCP", "docs_url": null, "jobs": [ "discover-mcp-servers" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "07-pulsemcp", "also_listed_in": [], "source_file": "07-mcp-infrastructure.md", "source_line": 136, "file_index": 6, "category_num": "07", "category_slug": "mcp-infrastructure", "category_label": "MCP Layer", "heading": "PulseMCP", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 173 }, { "id": "07-smithery", "slug": "smithery", "normalized_name": "smithery", "name": "Smithery", "vendor_url": "smithery.ai", "category": "mcp-infrastructure", "what_it_does": "A registry and distribution marketplace for MCP servers — \"publish once, install anywhere\" — that indexes and distributes third-party servers rather than hosting them itself, plus an integrated OAuth/credential layer.", "ai_features": "none — a directory and connection-management layer, not an AI product.", "mcp_status": "n/a (Smithery is the registry itself, not a vendor's own product MCP)", "mcp_url": "https://smithery.ai", "mcp_auth": "For the servers listed, auth runs through \"agent.pw,\" described as Smithery's own open-source agent credential vault — Smithery \"handles OAuth flows, credential injection, and retries automatically,\" with connections persisting across chats/harnesses.", "api_gate": "free to browse; some individual listed servers charge per-call (e.g. one listed server at $0.01-$0.05/call) while others are free/open-source — pricing is per-server, not a single Smithery tier.", "revops_role": "A discovery and one-click-install layer for MCP servers; useful for finding tools but CRM-grade GTM servers (Salesforce, HubSpot, Slack, Gmail) were not prominent in what was surfaced during this research.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://smithery.ai", "notes": "Smithery lists 17,000+ MCP servers by its own count. Because Smithery's agent.pw vault handles OAuth and \"credential injection\" for listed servers, using it to connect a GTM app means trusting that vault with the resulting tokens — worth confirming per-server before connecting anything with write access.", "mcp_status_bucket": "n-a", "api_gate_bucket": "free", "mcp_urls": [ "https://smithery.ai" ], "source_urls": [ "https://smithery.ai" ], "source_annotations": [], "vendor_domain": "smithery.ai", "display_name": "Smithery", "docs_url": null, "jobs": [ "discover-mcp-servers" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "07-smithery", "also_listed_in": [], "source_file": "07-mcp-infrastructure.md", "source_line": 96, "file_index": 4, "category_num": "07", "category_slug": "mcp-infrastructure", "category_label": "MCP Layer", "heading": "Smithery", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 174 }, { "id": "07-zapier-mcp", "slug": "zapier-mcp", "normalized_name": "zapier mcp", "name": "Zapier MCP", "vendor_url": "zapier.com/mcp", "category": "mcp-infrastructure", "what_it_does": "Zapier's own MCP endpoint, letting Claude, ChatGPT, Cursor, and other MCP clients trigger the same 9,000+ app actions Zapier already exposes to its classic trigger-action Zaps.", "ai_features": "none in the MCP layer itself — it reuses Zapier's existing (non-AI) action library. Zapier's separate \"Zapier Agents\" product is where genuine LLM-driven autonomous behavior lives; MCP is a new door into the same rules-based action catalog.", "mcp_status": "official", "mcp_url": "https://mcp.zapier.com", "mcp_auth": "Uses Zapier's existing decade-old app-connection/OAuth infrastructure — you authorize apps the same way you would for a normal Zap, then expose selected actions to the MCP client.", "api_gate": "free (bundled into existing Zapier plans; each MCP tool call consumes 2 tasks from the account's standard task quota — no separate SKU)", "revops_role": "The broadest reach-into-anything connector for a RevOps stack already standardized on Zapier — claims 9,000+ connectable apps including Salesforce, HubSpot, Gmail, and Slack.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://zapier.com/mcp, https://mcp.zapier.com", "notes": "Because MCP calls draw from the same task pool as regular Zaps, a chatty agent can burn a plan's task quota fast — worth watching before pointing a high-frequency agent at it.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://mcp.zapier.com" ], "source_urls": [ "https://zapier.com/mcp", "https://mcp.zapier.com" ], "source_annotations": [], "vendor_domain": "zapier.com", "display_name": "Zapier MCP", "docs_url": null, "jobs": [ "proxy-tool-calls-to-saas" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "07-zapier-mcp", "also_listed_in": [], "source_file": "07-mcp-infrastructure.md", "source_line": 54, "file_index": 2, "category_num": "07", "category_slug": "mcp-infrastructure", "category_label": "MCP Layer", "heading": "Zapier MCP", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 40 }, { "id": "08-bombbomb", "slug": "bombbomb", "normalized_name": "bombbomb", "name": "BombBomb", "vendor_url": "bombbomb.com", "category": "video-prospecting", "what_it_does": "Asynchronous video-messaging platform for sales, real estate, and CX teams to record and send personalized one-to-one videos via email/text/CRM with open and watch tracking.", "ai_features": "Vendor states (Copilot add-on, Core+Copilot/Enterprise plans only) AI audio/noise cleanup, AI-suggested talking points/scripts, AI-generated titles/subject lines, AI summaries, smart team assignment, and a patented \"fallback video\" auto-send when a rep misses their assignment. Base Core plan (no Copilot) is plain recording/sending/tracking with no AI. None of the AI claims independently verified beyond vendor pages.", "mcp_status": "community", "mcp_url": "https://zapier.com/mcp/bombbombcom (Zapier's generic MCP gateway exposing any Zapier-connected app, not a BombBomb-authored server; no dedicated repo found on GitHub, mcp.so, glama.ai, or pulsemcp.com)", "mcp_auth": "Rides Zapier's own OAuth/API-key connection to BombBomb; not a native BombBomb MCP auth flow.", "api_gate": "enterprise-only. BombBomb has a public REST API (developer.bombbomb.com, SDKs for JS/Ruby/Go) but access is explicitly listed as an Enterprise-plan-only feature, not available on Core or Core+Copilot.", "revops_role": "Outbound/relationship-nurture layer — personalized video touches inside email/CRM sequences, especially real estate and SMB sales.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://bombbomb.com/pricing/, https://bombbomb.com/copilot/, https://support.bombbomb.com/hc/en-us/articles/36078323159437-What-s-Included-in-My-Plan-Core-vs-Core-Copilot-vs-Enterprise, https://developer.bombbomb.com/, https://support.bombbomb.com/hc/en-us/articles/39269877765773-How-to-Get-Started-with-the-BombBomb-API, https://zapier.com/mcp/bombbombcom", "notes": "Pricing varies slightly by source (Core ~$36-42/user/mo, Core+Copilot ~$56-70/user/mo) — treat as approximate. Recent vendor material also refers to the product as \"BombBomb Engage,\" suggesting a platform refresh/rebrand in progress.", "mcp_status_bucket": "community", "api_gate_bucket": "enterprise-only", "mcp_urls": [ "https://zapier.com/mcp/bombbombcom" ], "source_urls": [ "https://bombbomb.com/pricing/", "https://bombbomb.com/copilot/", "https://support.bombbomb.com/hc/en-us/articles/36078323159437-What-s-Included-in-My-Plan-Core-vs-Core-Copilot-vs-Enterprise", "https://developer.bombbomb.com/", "https://support.bombbomb.com/hc/en-us/articles/39269877765773-How-to-Get-Started-with-the-BombBomb-API", "https://zapier.com/mcp/bombbombcom" ], "source_annotations": [], "vendor_domain": "bombbomb.com", "display_name": "BombBomb", "docs_url": null, "jobs": [ "create-and-send-prospecting-video", "read-outreach-performance" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "08-bombbomb", "also_listed_in": [], "source_file": "08-video-prospecting.md", "source_line": 71, "file_index": 3, "category_num": "08", "category_slug": "video-prospecting", "category_label": "Video Prospecting", "heading": "BombBomb", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 158 }, { "id": "08-bonjoro", "slug": "bonjoro", "normalized_name": "bonjoro", "name": "Bonjoro", "vendor_url": "bonjoro.com", "category": "video-prospecting", "what_it_does": "Personalized 1:1 and 1:many video-messaging platform triggered by CRM events (new signup, first purchase, deal-stage change), used across sales and customer-success teams.", "ai_features": "Primarily a recording/workflow-automation tool rather than AI-generation-heavy — no evidence found of generative-AI video personalization (voice cloning, AI avatars); personalization is human-recorded and CRM-triggered, not machine-generated.", "mcp_status": "community", "mcp_url": "https://zapier.com/mcp/bonjoro (Zapier's generic MCP gateway; no vendor-published first-party server found)", "mcp_auth": "Rides a Zapier account connection (OAuth to Zapier, which holds the Bonjoro-side connection).", "api_gate": "paid. REST API access is gated to the Grrrowth and Company/Enterprise plans ($79-399+/mo); Zapier/CRM integrations are available from the Free tier up, but the direct API is not.", "revops_role": "Personalized-video triggers embedded in CRM lifecycle stages — a sales/customer-success crossover tool (50,000+ businesses claimed by vendor).", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.bonjoro.com/, https://www.bonjoro.com/teams/customer-success, https://zapier.com/mcp/bonjoro, https://www.bonjoro.com/pricing", "notes": "Well-established (founded 2017); confirmed real and currently active.", "mcp_status_bucket": "community", "api_gate_bucket": "paid", "mcp_urls": [ "https://zapier.com/mcp/bonjoro" ], "source_urls": [ "https://www.bonjoro.com/", "https://www.bonjoro.com/teams/customer-success", "https://zapier.com/mcp/bonjoro", "https://www.bonjoro.com/pricing" ], "source_annotations": [], "vendor_domain": "bonjoro.com", "display_name": "Bonjoro", "docs_url": null, "jobs": [ "create-and-send-prospecting-video" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "08-bonjoro", "also_listed_in": [], "source_file": "08-video-prospecting.md", "source_line": 204, "file_index": 10, "category_num": "08", "category_slug": "video-prospecting", "category_label": "Video Prospecting", "heading": "Bonjoro", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 146 }, { "id": "08-covideo", "slug": "covideo", "normalized_name": "covideo", "name": "Covideo", "vendor_url": "covideo.com", "category": "video-prospecting", "what_it_does": "Records/sends/tracks personalized video messages via email, SMS, and social with Outlook/Gmail add-ins and CRM integrations; heavily used in automotive-dealership sales but marketed broadly for sales enablement.", "ai_features": "Vendor markets an \"AI Suite\": \"Create\" (AI-generated personalized videos/inventory showcases at scale), \"Accelerate\" (automated follow-up), \"Enhance\" (audio/video polish). Confirmation limited to the vendor's own site — no independent third-party technical review found.", "mcp_status": "unknown", "mcp_url": "n/a", "mcp_auth": "unknown. Covideo's developer portal (developer.covideo.com) returned HTTP 401 during this research (requires an authenticated account to view), so API/MCP auth details could not be independently confirmed. Support docs describe bearer-token REST auth generally, but no MCP-specific reference was found.", "api_gate": "unknown — the developer portal is login-gated and no public pricing/access tier for API use was found.", "revops_role": "Sales-enablement/dealer video messaging with tracking analytics (opens, watch %, viewer identity).", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.covideo.com/, https://www.covideo.com/sales-enablement-tools/, https://developer.covideo.com/ (401 on fetch — portal exists but gated), https://support.covideo.com/en/collections/2472505-integrations", "notes": "Confirmed actively operating in 2026 (current-year copyright, live dealership testimonials, active support). Long-running vendor (20+ years in business, per vendor claim).", "mcp_status_bucket": "unknown", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.covideo.com/", "https://www.covideo.com/sales-enablement-tools/", "https://developer.covideo.com/", "https://support.covideo.com/en/collections/2472505-integrations" ], "source_annotations": [ "401 on fetch — portal exists but gated" ], "vendor_domain": "covideo.com", "display_name": "Covideo", "docs_url": null, "jobs": [ "create-and-send-prospecting-video", "read-outreach-performance" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "08-covideo", "also_listed_in": [], "source_file": "08-video-prospecting.md", "source_line": 185, "file_index": 9, "category_num": "08", "category_slug": "video-prospecting", "category_label": "Video Prospecting", "heading": "Covideo", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 169 }, { "id": "08-dubb", "slug": "dubb", "normalized_name": "dubb", "name": "Dubb", "vendor_url": "dubb.com", "category": "video-prospecting", "what_it_does": "Video sales-messaging platform with a built-in lightweight CRM — record/send personalized prospecting and follow-up videos via email, SMS, LinkedIn, iMessage, or QR code, with trackable video landing pages.", "ai_features": "Vendor markets several named AI agents: \"Dubb Sales Agent\" (lead gen, CRM updates, Slack inbox triage), \"Ava\" (AI avatar video generation from a script, multi-voice/language), \"Caira\" (video-performance scoring: clarity, empathy, persuasiveness), and \"Otto\" (in-app guidance). Consistent across the vendor features page, G2, and a third-party consulting review, but not independently verified beyond those sources.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "unknown. A self-serve API key is available via account profile and 3,000+ third-party integrations are advertised via Zapier/Make/API Nation, but no public statement on plan-tier gating for API access was found.", "revops_role": "Direct Vidyard/Sendspark-class competitor for prospecting and follow-up video, bundled with a lightweight CRM.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://dubb.com/, https://dubb.com/features, https://dubb.com/lp/video-prospecting, https://www.g2.com/products/dubb-sales-video-system-crm/reviews, https://apps.make.com/dubb", "notes": "None.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://dubb.com/", "https://dubb.com/features", "https://dubb.com/lp/video-prospecting", "https://www.g2.com/products/dubb-sales-video-system-crm/reviews", "https://apps.make.com/dubb" ], "source_annotations": [], "vendor_domain": "dubb.com", "display_name": "Dubb", "docs_url": null, "jobs": [ "create-and-send-prospecting-video", "read-outreach-performance" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "08-dubb", "also_listed_in": [], "source_file": "08-video-prospecting.md", "source_line": 166, "file_index": 8, "category_num": "08", "category_slug": "video-prospecting", "category_label": "Video Prospecting", "heading": "Dubb", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 246 }, { "id": "08-heygen", "slug": "heygen", "normalized_name": "heygen", "name": "HeyGen", "vendor_url": "heygen.com", "category": "video-prospecting", "what_it_does": "AI avatar/video-generation platform with a documented sales-prospecting motion — batch-personalize one template into many prospect-specific versions (dynamic name/company/pain-point variables), with native HubSpot automation that generates and attaches a personalized video to a contact on lifecycle triggers (new lead, meeting booked, deal-stage change).", "ai_features": "Vendor states 200+ AI avatars, voice/spokesperson cloning, batch personalization at scale, 175+ language localization with lip-sync, and engagement analytics. Vendor blog cites a case study that Reply.io built an outbound motion on HeyGen and an agency generated 50,000+ personalized videos for AB InBev claiming up to 3x engagement — vendor-published/vendor-cited, not independently verified here.", "mcp_status": "official", "mcp_url": "https://mcp.heygen.com/mcp/v1/ (docs: https://developers.heygen.com/mcp/overview; product page: https://www.heygen.com/model-context-protocol)", "mcp_auth": "OAuth — vendor states \"connect your HeyGen account, no API key required\"; generation draws down the premium credits already in the user's HeyGen plan rather than separate API billing.", "api_gate": "paid, pay-as-you-go. Public REST API billed from a prepaid USD wallet per feature (e.g., roughly $0.05/sec for photo-avatar video, ~$0.000667/sec TTS, $1.00 per avatar-creation call); no free API tier found for developers, though a solo operator can start with a small prepaid balance.", "revops_role": "Outbound/sequence-personalization layer plugging natively into HubSpot and, via Zapier/Make/n8n, into other CRMs.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.heygen.com/business/sales, https://www.heygen.com/integrations/hubspot, https://www.heygen.com/blog/best-ai-video-tools-sales-prospecting, https://developers.heygen.com/mcp/overview, https://developers.heygen.com/docs/pricing, https://www.heygen.com/model-context-protocol", "notes": "Included despite defaulting to \"generic AI-avatar platform\" because it clears the \"real sales-prospecting motion\" bar set for this file: dedicated sales use-case page, native HubSpot lifecycle automation, and a named case study (Reply.io). Synthesia, researched alongside it, did not clear this bar — see Sweep notes.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://mcp.heygen.com/mcp/v1/", "https://developers.heygen.com/mcp/overview", "https://www.heygen.com/model-context-protocol" ], "source_urls": [ "https://www.heygen.com/business/sales", "https://www.heygen.com/integrations/hubspot", "https://www.heygen.com/blog/best-ai-video-tools-sales-prospecting", "https://developers.heygen.com/mcp/overview", "https://developers.heygen.com/docs/pricing", "https://www.heygen.com/model-context-protocol" ], "source_annotations": [], "vendor_domain": "heygen.com", "display_name": "HeyGen", "docs_url": null, "jobs": [ "create-and-send-prospecting-video", "read-outreach-performance" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "08-heygen", "also_listed_in": [], "source_file": "08-video-prospecting.md", "source_line": 147, "file_index": 7, "category_num": "08", "category_slug": "video-prospecting", "category_label": "Video Prospecting", "heading": "HeyGen", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 65 }, { "id": "08-hippo-video", "slug": "hippo-video", "normalized_name": "hippo video", "name": "Hippo Video", "vendor_url": "hippovideo.io", "category": "video-prospecting", "what_it_does": "Video engagement platform for sales teams to record, automate, and personalize video outreach at scale, merging prospect variables into template videos and chaining them into \"Video Flows\" inside sequences.", "ai_features": "Vendor states an AI Script Generator, an AI Avatar Video Generator, an AI Editor that assembles finished video from a script, a \"Humanize AI\" layer, and automated name/image/company personalization. None independently verified beyond vendor pricing/product pages.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "unknown. Hippo Video has a public developer API/SDK (Record, Video Library, Video Details, Import, Sign-up, Categories APIs, webhooks) requiring an API key, documented via help docs and a public Postman collection, but no source states which paid tier (if any) is required to use it.", "revops_role": "Video-messaging layer plugged into CRM/sequence tools (Outreach, Salesloft, HubSpot, Salesforce); also spans customer-support/CX video beyond pure prospecting.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.hippovideo.io/pricing.html, https://www.hippovideo.io/boost-sales-engagement.html, https://help.hippovideo.io/support/solutions/19000104654, https://documenter.getpostman.com/view/5278433/Tz5naxpW, https://www.hippovideo.io/products/video-sdk/how-video-api-works.html", "notes": "Searches for \"Hippo Video MCP\" surface only an unrelated product, \"Hippo CMMS\" (maintenance-management SaaS) — do not confuse the two. Pricing sources disagree on exact figures (Pro ~$20-30/user/mo, Enterprise ~$80/user/mo, 10-seat minimum); treat as approximate.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.hippovideo.io/pricing.html", "https://www.hippovideo.io/boost-sales-engagement.html", "https://help.hippovideo.io/support/solutions/19000104654", "https://documenter.getpostman.com/view/5278433/Tz5naxpW", "https://www.hippovideo.io/products/video-sdk/how-video-api-works.html" ], "source_annotations": [], "vendor_domain": "hippovideo.io", "display_name": "Hippo Video", "docs_url": null, "jobs": [ "create-and-send-prospecting-video" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "08-hippo-video", "also_listed_in": [], "source_file": "08-video-prospecting.md", "source_line": 90, "file_index": 4, "category_num": "08", "category_slug": "video-prospecting", "category_label": "Video Prospecting", "heading": "Hippo Video", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 251 }, { "id": "08-loom", "slug": "loom", "normalized_name": "loom", "name": "Loom", "vendor_url": "loom.com", "category": "video-prospecting", "what_it_does": "Async video-messaging platform; in its sales use case, reps record personalized video messages with name/company variables, track prospect views, and embed CTAs/booking links directly in the video.", "ai_features": "Vendor states (Business+AI / Enterprise tiers only) AI-generated titles/summaries/auto-chapters, automatic filler-word/silence removal, an AI-drafted follow-up email companion, and transcription/captioning in 50+ languages (base transcription ships even on the free tier; the AI enrichment layer is gated). Variable-based name/company personalization, view tracking, and CTA embedding are plain templating/automation, not AI, despite being marketed alongside the AI features. Vendor's own 18% engagement-lift claim not independently verified.", "mcp_status": "community", "mcp_url": "https://github.com/karbassi/mcp-loom (largest community implementation, ~58 tools against Loom's internal GraphQL API); smaller variants at https://github.com/m2ai-mcp-servers/loom-mcp and https://github.com/CaliLuke/loom-mcp", "mcp_auth": "karbassi/mcp-loom uses Loom's undocumented internal GraphQL API via a browser session cookie (connect.sid) manually extracted from a logged-in session — no official API key exists for this per the project's own README.", "api_gate": "unknown. Loom offers a free public Record SDK, Embed SDK, and oEmbed for embedding recording/playback widgets, but no evidence of an official public REST API for programmatic data/analytics access — the reason community MCP servers reverse-engineer the internal GraphQL API instead. An open Loom feature-request ticket (LOOM-690, filed March 2026, \"In Progress,\" 40 votes) explicitly asks Loom to build an official MCP server, confirming none exists yet.", "revops_role": "Lower-overhead async video touch for individual AEs/SDRs/CSMs — follow-ups and lightweight prospecting rather than a managed outbound-campaign engine.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.loom.com/use-case/sales, https://www.loom.com/pricing, https://www.loom.com/sdk, https://github.com/karbassi/mcp-loom, https://jira.atlassian.com/browse/LOOM-690", "notes": "Loom's dominant real-world use case remains general screen-recording/async communication, not outbound sales specifically — this entry evaluates only the sales-messaging angle per research scope. Watch for name collisions: several \"Loom MCP\" search results (e.g. a PulseMCP listing, maxsloef/loom-mcp) belong to an unrelated text/prompt-exploration tool that also happens to be called \"loom.\"", "mcp_status_bucket": "community", "api_gate_bucket": "unknown", "mcp_urls": [ "https://github.com/karbassi/mcp-loom", "https://github.com/m2ai-mcp-servers/loom-mcp", "https://github.com/CaliLuke/loom-mcp" ], "source_urls": [ "https://www.loom.com/use-case/sales", "https://www.loom.com/pricing", "https://www.loom.com/sdk", "https://github.com/karbassi/mcp-loom", "https://jira.atlassian.com/browse/LOOM-690" ], "source_annotations": [], "vendor_domain": "loom.com", "display_name": "Loom", "docs_url": null, "jobs": [ "create-and-send-prospecting-video", "read-outreach-performance" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/karbassi/mcp-loom", "https://github.com/m2ai-mcp-servers/loom-mcp", "https://github.com/CaliLuke/loom-mcp", "https://github.com/karbassi/mcp-loom" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "08-loom", "also_listed_in": [], "source_file": "08-video-prospecting.md", "source_line": 33, "file_index": 1, "category_num": "08", "category_slug": "video-prospecting", "category_label": "Video Prospecting", "heading": "Loom (sales use case)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 162 }, { "id": "08-potion", "slug": "potion", "normalized_name": "potion", "name": "Potion", "vendor_url": "sendpotion.com", "category": "video-prospecting", "what_it_does": "AI video-personalization tool for outbound sales — record one template video, and Potion overlays a personalized version per prospect (dynamic name/logo/background) for cold email and LinkedIn outreach at scale.", "ai_features": "Vendor states personalization at scale (dynamic salutation, logo, and website/background overlay per prospect on a static template), a text-to-video option, AI demo-summarization, and (Enterprise tier) AI voice cloning. The core mechanism as described by the vendor is overlaying dynamic elements onto one recorded template rather than fully regenerating video per recipient — closer to templated personalization than generative AI video for most tiers. Not independently verified beyond vendor/third-party review pages.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "unknown. A personal API token exists (used to connect Zapier) but no public developer-API documentation or portal was found; API-related questions are routed to a support email rather than public docs.", "revops_role": "Personalization layer bolted onto cold email/LinkedIn sequences (Outreach, Salesloft, HubSpot, Salesforce) to lift reply/booking rates — top-of-funnel only, not a broader video-hosting/CX platform.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://sendpotion.com/ai-video-prospecting-software/, https://www.capterra.com/p/232470/Potion/, https://coldiq.com/tools/potion, https://help.sendpotion.com/how-to-set-up-potion-and-zapier", "notes": "Third-party pricing figures conflict meaningfully ($99/mo vs $250/mo \"starting price,\" different video-volume caps); vendor's own pricing page was not successfully fetched in this research pass, so treat all price figures as third-party-reported, not primary-sourced. Search noise: \"Potion\" collides with an unrelated Minecraft server community and a Notion-API-clone GitHub project — neither relates to sendpotion.com.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://sendpotion.com/ai-video-prospecting-software/", "https://www.capterra.com/p/232470/Potion/", "https://coldiq.com/tools/potion", "https://help.sendpotion.com/how-to-set-up-potion-and-zapier" ], "source_annotations": [], "vendor_domain": "sendpotion.com", "display_name": "Potion", "docs_url": null, "jobs": [ "create-and-send-prospecting-video" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "08-potion", "also_listed_in": [], "source_file": "08-video-prospecting.md", "source_line": 109, "file_index": 5, "category_num": "08", "category_slug": "video-prospecting", "category_label": "Video Prospecting", "heading": "Potion", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 270 }, { "id": "08-quickpage", "slug": "quickpage", "normalized_name": "quickpage", "name": "Quickpage", "vendor_url": "quickpage.io", "category": "video-prospecting", "what_it_does": "Mobile-first video-messaging tool for closing deals faster — record from phone or webcam, send via email/SMS, track opens; strong vertical focus on automotive, real estate, insurance, home improvement, and coaching.", "ai_features": "No AI features found anywhere in vendor content. This is a straightforward record-and-send video-messaging tool; personalization is human-recorded, not machine-generated.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "unknown. Vendor footer references \"Integrations\" but no public API/developer documentation was found.", "revops_role": "Lightweight follow-up/closing tool, closer in role to BombBomb than to the AI-personalization tools in this file.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://quickpage.io/, https://quickpage.io/automotive-video-messaging, https://quickpage.io/industries, https://www.spotsaas.com/product/quickpage", "notes": "Included as a genuine, currently-operating sales-video tool, but flagged explicitly as non-AI — it is the plain-automation baseline this category's \"AI vs. templating\" contrast is measured against.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://quickpage.io/", "https://quickpage.io/automotive-video-messaging", "https://quickpage.io/industries", "https://www.spotsaas.com/product/quickpage" ], "source_annotations": [], "vendor_domain": "quickpage.io", "display_name": "Quickpage", "docs_url": null, "jobs": [ "create-and-send-prospecting-video", "read-outreach-performance" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "08-quickpage", "also_listed_in": [], "source_file": "08-video-prospecting.md", "source_line": 242, "file_index": 12, "category_num": "08", "category_slug": "video-prospecting", "category_label": "Video Prospecting", "heading": "Quickpage", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 272 }, { "id": "08-sendspark", "slug": "sendspark", "normalized_name": "sendspark", "name": "Sendspark", "vendor_url": "sendspark.com", "category": "video-prospecting", "what_it_does": "Purpose-built B2B outbound video-prospecting platform — record one video, and AI voice cloning plus dynamic personalization generate individualized versions per prospect at scale for cold/warm outreach sequences.", "ai_features": "Genuinely AI: voice cloning that inserts each recipient's name (correctly pronounced) spoken in the rep's own cloned voice across several languages; dynamic on-video backgrounds pulling in the prospect's website/LinkedIn; AI-personalized thumbnails. The \"record once, merge into thousands\" delivery mechanism itself is automation layered on that AI core. Vendor's \"300% higher click-through\" / \"50% more meetings\" figures not independently corroborated.", "mcp_status": "community", "mcp_url": "https://composio.dev/toolkits/sendspark (third-party Composio-hosted toolkit, 9 tools: campaigns, prospects, webhooks, analytics)", "mcp_auth": "API-key based — Composio's page states Sendspark requires the user's own API key, which Composio then stores/manages.", "api_gate": "paid. REST API/webhooks are excluded from the entry Solo plan ($49/mo) and included starting at Growth ($99/mo, 3 seats); continues through Team ($299/mo) and Business ($699/mo).", "revops_role": "Personalization-at-scale layer for cold/warm outbound, plugging into HubSpot, HighLevel, Instantly, and sequence tools.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.sendspark.com/, https://www.sendspark.com/video-platform/ai-intros, https://help.sendspark.com/en/articles/8554225-dynamic-videos-make-videos-with-ai-introductions, https://www.sendspark.com/pricing-plans, https://composio.dev/toolkits/sendspark", "notes": "Repeatedly cited across independent buyer-guide articles as a top Vidyard/BombBomb alternative for prospecting specifically — one of the strongest \"purpose-built for prospecting\" fits researched in this file. A GitHub repo named \"ai-spark-mcp-server\" surfaces in search but is an unrelated Apache Spark data-engineering tool — do not cite it for Sendspark.", "mcp_status_bucket": "community", "api_gate_bucket": "paid", "mcp_urls": [ "https://composio.dev/toolkits/sendspark" ], "source_urls": [ "https://www.sendspark.com/", "https://www.sendspark.com/video-platform/ai-intros", "https://help.sendspark.com/en/articles/8554225-dynamic-videos-make-videos-with-ai-introductions", "https://www.sendspark.com/pricing-plans", "https://composio.dev/toolkits/sendspark" ], "source_annotations": [], "vendor_domain": "sendspark.com", "display_name": "Sendspark", "docs_url": null, "jobs": [ "create-and-send-prospecting-video" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "08-sendspark", "also_listed_in": [], "source_file": "08-video-prospecting.md", "source_line": 52, "file_index": 2, "category_num": "08", "category_slug": "video-prospecting", "category_label": "Video Prospecting", "heading": "Sendspark", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 151 }, { "id": "08-tavus", "slug": "tavus", "normalized_name": "tavus", "name": "Tavus", "vendor_url": "tavus.io", "category": "video-prospecting", "what_it_does": "Developer platform for building real-time, two-way conversational AI video agents (\"Conversational Video Interface\") — positioned for GTM use cases like greeting website visitors and booking meetings, not primarily batch personalized-outbound video.", "ai_features": "Vendor states AI voice/face replicas (\"Replica\"), persona-driven real-time conversational agents, and a no-code agent builder (\"PAL Maker\"). This is a genuine real-time conversational-AI product per vendor's own architecture description (perception, understanding, voice, rendering components), not just a templated video swap — but capability claims are vendor-stated and not independently benchmarked here.", "mcp_status": "official", "mcp_url": "https://mcp.tavus.io/mcp (docs: https://docs.tavus.io/sections/agent-tools/mcp-server.md, https://docs.tavus.io/sections/agent-tools/mcp-tools-reference.md); community alternative at https://github.com/rakeshdavid/Tavus-MCP", "mcp_auth": "OAuth 2.0 browser-based flow; the exchange mints a per-user API key server-side, nothing stored in client config.", "api_gate": "free tier available. Free plan includes 25 minutes of conversational video/month; Starter/solo-developer tier is $59/mo (100 min + 3 custom replicas); Growth $397/mo (1,250 min); Enterprise custom. Overage billed per-minute.", "revops_role": "Conversational AI-agent layer for GTM (an AI rep that greets/qualifies a site visitor and books a meeting live) rather than a classic async 1:many personalized-outbound-video tool.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.tavus.io/, https://www.tavus.io/pricing, https://docs.tavus.io/llms.txt, https://docs.tavus.io/sections/agent-tools/mcp-server.md, https://github.com/rakeshdavid/Tavus-MCP, https://coldiq.com/blog/tavus-video-prospecting", "notes": "Third-party blogs (e.g. ColdIQ) frame Tavus as a \"video prospecting\" tool via its replica/clone capability, but Tavus's own current marketing emphasizes real-time conversational agents over the \"record once, blast personalized clips\" model most other entries in this file use — worth noting the mechanism differs from Vidyard/Sendspark/Potion even though the sales use case is real.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://mcp.tavus.io/mcp", "https://docs.tavus.io/sections/agent-tools/mcp-server.md", "https://docs.tavus.io/sections/agent-tools/mcp-tools-reference.md", "https://github.com/rakeshdavid/Tavus-MCP" ], "source_urls": [ "https://www.tavus.io/", "https://www.tavus.io/pricing", "https://docs.tavus.io/llms.txt", "https://docs.tavus.io/sections/agent-tools/mcp-server.md", "https://github.com/rakeshdavid/Tavus-MCP", "https://coldiq.com/blog/tavus-video-prospecting" ], "source_annotations": [], "vendor_domain": "tavus.io", "display_name": "Tavus", "docs_url": null, "jobs": [ "book-a-meeting", "answer-inbound-chat" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/rakeshdavid/Tavus-MCP", "https://github.com/rakeshdavid/Tavus-MCP" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "08-tavus", "also_listed_in": [], "source_file": "08-video-prospecting.md", "source_line": 128, "file_index": 6, "category_num": "08", "category_slug": "video-prospecting", "category_label": "Video Prospecting", "heading": "Tavus", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 33 }, { "id": "08-trumpet", "slug": "trumpet", "normalized_name": "trumpet", "name": "Trumpet", "vendor_url": "sendtrumpet.com", "category": "video-prospecting", "what_it_does": "Digital-sales-room / buyer-facing microsite platform (\"Pods\") for revenue teams, with a built-in webcam/screen-recording tool for sellers to send personalized welcome and post-demo recap videos embedded in the buyer's deal microsite, plus mutual action plans and engagement analytics.", "ai_features": "Branded as \"The AI Buyer-Facing Execution Layer\" — the AI is applied to engagement-signal analysis and deal-risk diagnosis surfaced through Trumpet's MCP server, not to the video recording itself, which is standard webcam/screen capture. Treat the \"AI\" claim as describing the surrounding intelligence layer, not AI-generated video.", "mcp_status": "official", "mcp_url": "https://trumpet.app/api/mcp (real endpoint, documented in vendor help center: https://intercom.help/trumpet/en/articles/14139827-trumpet-mcp-server; also announced at https://www.sendtrumpet.com/blog-posts/introducing-trumpet-mcp, which itself has no endpoint/repo link)", "mcp_auth": "OAuth 2.0 — vendor help-center doc confirms \"Authenticate via trumpet (OAuth 2.0)\"; setup flow is add-custom-connector → paste MCP server URL → connect → authenticate → select workspace.", "api_gate": "unknown.", "revops_role": "Video is one feature inside a broader personalized buyer-microsite/deal-room product, not a standalone prospecting-video tool — sits adjacent to this category more than squarely inside it.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.sendtrumpet.com/, https://www.sendtrumpet.com/product/digital-sales-room, https://www.sendtrumpet.com/blog-posts/introducing-trumpet-mcp, https://www.sendtrumpet.com/blog-posts/best-mcp-servers-for-sales-teams-2026, https://intercom.help/trumpet/en/articles/14139827-trumpet-mcp-server", "notes": "Borderline category fit — included because it does put personalized video inside a sales sequence/deal flow, but flagged for the directory maintainer to reconsider placement (digital-sales-room vs. video-prospecting) since video is a feature of a larger product rather than the core product. Discrepancy between table count and finding 6 resolved 2026-08-24: the blog announcement alone (https://www.sendtrumpet.com/blog-posts/introducing-trumpet-mcp) was marketing copy with no locatable server, but the vendor's own help-center article (https://intercom.help/trumpet/en/articles/14139827-trumpet-mcp-server) documents a real endpoint (https://trumpet.app/api/mcp), OAuth 2.0 auth, and a concrete tool list — this clears SCHEMA.md law 1 (a URL/receipt for the claim), so mcp_status: official is upheld; INDEX.md finding 6 updated to name Trumpet as the category's third official MCP alongside Tavus and HeyGen.", "mcp_status_bucket": "official", "api_gate_bucket": "unknown", "mcp_urls": [ "https://trumpet.app/api/mcp", "https://intercom.help/trumpet/en/articles/14139827-trumpet-mcp-server", "https://www.sendtrumpet.com/blog-posts/introducing-trumpet-mcp" ], "source_urls": [ "https://www.sendtrumpet.com/", "https://www.sendtrumpet.com/product/digital-sales-room", "https://www.sendtrumpet.com/blog-posts/introducing-trumpet-mcp", "https://www.sendtrumpet.com/blog-posts/best-mcp-servers-for-sales-teams-2026", "https://intercom.help/trumpet/en/articles/14139827-trumpet-mcp-server" ], "source_annotations": [], "vendor_domain": "sendtrumpet.com", "display_name": "Trumpet", "docs_url": null, "jobs": [ "create-and-send-prospecting-video", "read-outreach-performance", "create-digital-sales-room" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": false, "canonical_id": "13-trumpet", "also_listed_in": [ { "id": "13-trumpet", "name": "Trumpet (sendtrumpet.com)", "category_num": "13", "category_slug": "proposals-deals", "source_file": "13-proposals-deals.md", "canonical": true } ], "source_file": "08-video-prospecting.md", "source_line": 261, "file_index": 13, "category_num": "08", "category_slug": "video-prospecting", "category_label": "Video Prospecting", "heading": "Trumpet", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 142 }, { "id": "08-vidyard", "slug": "vidyard", "normalized_name": "vidyard", "name": "Vidyard", "vendor_url": "vidyard.com", "category": "video-prospecting", "what_it_does": "AI-powered video-selling platform for recording, personalizing (including AI-avatar-generated), and sending trackable video messages to prospects via email, CRM, and sales-engagement sequences.", "ai_features": "Vendor states AI Avatars (train a digital avatar from ~90 seconds of footage, then generate personalized scripts using prospect name/company/insight data without re-recording) and a \"Video Sales Agent\" that auto-generates and sends personalized video on CRM/sequence triggers. Engagement analytics (view rate, watch time, CTA clicks) are plain tracking, not AI. None of the avatar/voice-quality or personalization-lift claims independently verified beyond vendor's own description.", "mcp_status": "community", "mcp_url": "https://viasocket.com/mcp/vidyard (third-party viaSocket connector; no vendor-published or GitHub/registry-listed dedicated server found on mcp.so, glama.ai, or pulsemcp.com)", "mcp_auth": "Not documented in technical detail on the viaSocket listing (\"built-in authentication\"). Vidyard's own Video Agent REST API (separate from any MCP) uses an admin API token requiring \"Edit Integrations\"/\"Edit API tokens\" account permissions.", "api_gate": "paid, with conflicting detail. Vidyard's own docs say the Video Agent API is available on Free/Starter/Teams/Enterprise but caps non-add-on accounts at 15 AI videos total; a secondary source (Claap) states general API access is Enterprise-only on Starter/Teams. Treat as paid at minimum, likely more for full access.", "revops_role": "Personalized video touchpoints inside outbound sequences (Salesloft, Outreach, Apollo) or CRM workflows (HubSpot, Salesforce), with engagement data synced back to CRM.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.vidyard.com/, https://www.vidyard.com/blog/ai-avatars-in-sales-and-marketing/, https://developer.vidyard.com/, https://knowledge.vidyard.com/hc/en-us/articles/42909331296411-Using-the-Vidyard-Video-Agent-API, https://viasocket.com/mcp/vidyard, https://www.claap.io/blog/vidyard-pricing", "notes": "The only MCP hit is a thin, low-detail third-party viaSocket connector — no dedicated GitHub repo or registry listing found. Treat \"community\" mcp_status here as low-confidence.", "mcp_status_bucket": "community", "api_gate_bucket": "paid", "mcp_urls": [ "https://viasocket.com/mcp/vidyard" ], "source_urls": [ "https://www.vidyard.com/", "https://www.vidyard.com/blog/ai-avatars-in-sales-and-marketing/", "https://developer.vidyard.com/", "https://knowledge.vidyard.com/hc/en-us/articles/42909331296411-Using-the-Vidyard-Video-Agent-API", "https://viasocket.com/mcp/vidyard", "https://www.claap.io/blog/vidyard-pricing" ], "source_annotations": [], "vendor_domain": "vidyard.com", "display_name": "Vidyard", "docs_url": null, "jobs": [ "create-and-send-prospecting-video", "read-outreach-performance" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "08-vidyard", "also_listed_in": [], "source_file": "08-video-prospecting.md", "source_line": 14, "file_index": 0, "category_num": "08", "category_slug": "video-prospecting", "category_label": "Video Prospecting", "heading": "Vidyard", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 157 }, { "id": "08-weezly", "slug": "weezly", "normalized_name": "weezly", "name": "Weezly", "vendor_url": "weezly.com", "category": "video-prospecting", "what_it_does": "AI sales-video plus scheduling platform — record once, AI generates many personalized variants with cloned voice/face claimed, and each video carries an integrated meeting-booking page; aimed at lead-gen agencies and SDR teams.", "ai_features": "Vendor claims both voice AND face cloning for bulk personalization (\"thousands of customized sales videos with cloned voice and face\") — a more aggressive claim than most peers in this file. Not independently verified beyond the vendor site and directory listings.", "mcp_status": "community", "mcp_url": "https://zapier.com/mcp/weezly (Zapier-hosted; very limited scope confirmed — only scheduling webhook actions such as \"Invitee Created\"/\"Invitee Canceled\" were found, not video or campaign actions)", "mcp_auth": "Zapier-mediated connection.", "api_gate": "unknown. Vendor site claims \"50+ integrations, plus webhooks and a REST API\" but no plan-tier gating details were found; a 14-day free trial is offered.", "revops_role": "Video-plus-scheduling hybrid — bundles a meeting-booking CTA directly into the personalized video (vendor claims +38% more meetings booked vs. video alone, not independently verified).", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://weezly.com/, https://weezly.com/automated-sales-videos/, https://weezly.com/product/, https://zapier.com/mcp/weezly", "notes": "Real and currently operating (active Chrome Web Store listing, YouTube channel, live trial signup), but MCP coverage found is thin and scheduling-only, not video/campaign functionality.", "mcp_status_bucket": "community", "api_gate_bucket": "unknown", "mcp_urls": [ "https://zapier.com/mcp/weezly" ], "source_urls": [ "https://weezly.com/", "https://weezly.com/automated-sales-videos/", "https://weezly.com/product/", "https://zapier.com/mcp/weezly" ], "source_annotations": [], "vendor_domain": "weezly.com", "display_name": "Weezly", "docs_url": null, "jobs": [ "create-and-send-prospecting-video", "book-a-meeting" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "08-weezly", "also_listed_in": [], "source_file": "08-video-prospecting.md", "source_line": 223, "file_index": 11, "category_num": "08", "category_slug": "video-prospecting", "category_label": "Video Prospecting", "heading": "Weezly", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 163 }, { "id": "09-allegrow", "slug": "allegrow", "normalized_name": "allegrow", "name": "Allegrow", "vendor_url": "allegrow.co", "category": "email-deliverability", "what_it_does": "B2B email verification and deliverability platform — resolves catch-all/secure-email-gateway addresses that legacy verifiers mark \"unknown,\" sends warm-up email to real B2B accounts, and runs hourly SPF/DKIM/DMARC checks with a \"Safety Net\" that auto-pauses sends to addresses likely to mark mail as spam.", "ai_features": "No AI-specific model capability confirmed in sourced pages; the differentiator (resolving catch-all/SEG addresses, hourly authentication monitoring, automatic send-pausing) is rules-based verification and monitoring logic, not disclosed as model-driven.", "mcp_status": "official", "mcp_url": "https://www.allegrow.co/knowledge-base/claude-email-mcp", "mcp_auth": "OAuth — connects through Claude's standard connector authorization flow; user logs into their Allegrow account and grants access explicitly (no manual API key copying).", "api_gate": "paid — credit-based model (one credit per unique address verified); a 14-day free trial covers up to 1,000 contacts, full pricing not published.", "revops_role": "Email-verification-plus-deliverability layer aimed at list hygiene before and during outbound sends, with warm-up as a secondary feature rather than its primary product.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.allegrow.co/knowledge-base/claude-email-mcp, https://www.allegrow.co/knowledge-base/complete-guide-to-email-warm-up-tools-which-increase-sender-reputation, https://emailwarmup.com/blog/email-deliverability-tools/allegrow-review/", "notes": "Vendor-published on Allegrow's own domain and listed in Claude's connector directory (claude.ai/directory/allegrow) — clears this schema's bar for \"official\" since Allegrow built and documents it themselves. Worth noting Claude's own directory UI labels it a \"community connector\" (meaning it passed Anthropic's automated review but isn't Anthropic-verified) — a different axis than this schema's official/community distinction, which tracks who built the server, not who verified it.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://www.allegrow.co/knowledge-base/claude-email-mcp" ], "source_urls": [ "https://www.allegrow.co/knowledge-base/claude-email-mcp", "https://www.allegrow.co/knowledge-base/complete-guide-to-email-warm-up-tools-which-increase-sender-reputation", "https://emailwarmup.com/blog/email-deliverability-tools/allegrow-review/" ], "source_annotations": [], "vendor_domain": "allegrow.co", "display_name": "Allegrow", "docs_url": null, "jobs": [ "verify-email-deliverable", "warm-up-inbox" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "09-allegrow", "also_listed_in": [], "source_file": "09-email-deliverability.md", "source_line": 102, "file_index": 5, "category_num": "09", "category_slug": "email-deliverability", "category_label": "Email Deliverability", "heading": "Allegrow", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 44 }, { "id": "09-folderly", "slug": "folderly", "normalized_name": "folderly", "name": "Folderly", "vendor_url": "folderly.com", "category": "email-deliverability", "what_it_does": "Email deliverability platform combining a spam/inbox-placement test, ongoing deliverability monitoring, technical DNS setup, and spam-trigger content review for B2B outbound teams.", "ai_features": "Vendor markets \"deliverability fixes\" and spam-trigger detection against best practices; no independent confirmation of model-driven (vs. rules-based checklist) mechanics was found — treat as vendor-stated only.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "unknown", "revops_role": "Deliverability-diagnosis and monitoring layer, positioned as a service-plus-software hybrid (the vendor emphasizes hands-on technical setup) rather than a pure self-serve tool.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://folderly.com/, https://folderly.com/email-deliverability-monitoring, https://folderly.com/products, https://maildoso.ai/blog/catalog/warmup/folderly", "notes": "Search surfaced two unrelated inbox-placement MCP servers (github.com/live-direct-marketing/ldm-inbox-check-mcp and the \"Unspam\" MCP toolkit) that are NOT Folderly products — do not conflate. Folderly integrates via API/SMTP with major ESPs per its own site, but no self-serve pricing or developer-portal URL was found.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://folderly.com/", "https://folderly.com/email-deliverability-monitoring", "https://folderly.com/products", "https://maildoso.ai/blog/catalog/warmup/folderly" ], "source_annotations": [], "vendor_domain": "folderly.com", "display_name": "Folderly", "docs_url": null, "jobs": [ "provision-sending-infrastructure", "check-inbox-placement" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "09-folderly", "also_listed_in": [], "source_file": "09-email-deliverability.md", "source_line": 45, "file_index": 2, "category_num": "09", "category_slug": "email-deliverability", "category_label": "Email Deliverability", "heading": "Folderly", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 250 }, { "id": "09-glockapps", "slug": "glockapps", "normalized_name": "glockapps", "name": "GlockApps", "vendor_url": "glockapps.com", "category": "email-deliverability", "what_it_does": "Email deliverability testing and monitoring platform — Inbox Insight sends a test email to real seed accounts across 60+ providers (Gmail, Yahoo, Outlook, Apple Mail, AOL, etc.) and reports exact inbox/spam/promotions placement, plus authentication diagnostics and blacklist monitoring.", "ai_features": "No AI-specific capability confirmed; placement testing (seed-account network) and authentication checks read as measurement/monitoring automation, not model-driven — treat as plain automation.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "paid — API access is included only on the Growth plan tier, not the base/free tier.", "revops_role": "Pre-send and ongoing deliverability-diagnosis layer, one of the longest-running \"know your inbox placement\" tools in the category (blog dates its founding narrative back years before most of this file's entrants).", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://glockapps.com/, https://glockapps.com/tutorials/test-inbox-placement-and-test-spam-score/, https://frontdeskreview.com/software/email-deliverability/glockapps/, https://glockapps.com/blog/know-your-inbox-placement/", "notes": "No MCP server, GitHub repo, or registry listing found for GlockApps specifically. Integrates with Mailchimp, ActiveCampaign, HubSpot, SendGrid, and Mailgun per vendor site.", "mcp_status_bucket": "none-found", "api_gate_bucket": "paid", "mcp_urls": [], "source_urls": [ "https://glockapps.com/", "https://glockapps.com/tutorials/test-inbox-placement-and-test-spam-score/", "https://frontdeskreview.com/software/email-deliverability/glockapps/", "https://glockapps.com/blog/know-your-inbox-placement/" ], "source_annotations": [], "vendor_domain": "glockapps.com", "display_name": "GlockApps", "docs_url": null, "jobs": [ "check-inbox-placement" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "09-glockapps", "also_listed_in": [], "source_file": "09-email-deliverability.md", "source_line": 216, "file_index": 11, "category_num": "09", "category_slug": "email-deliverability", "category_label": "Email Deliverability", "heading": "GlockApps", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 193 }, { "id": "09-hypertide", "slug": "hypertide", "normalized_name": "hypertide", "name": "Hypertide", "vendor_url": "hypertide.io", "category": "email-deliverability", "what_it_does": "Automated cold-email infrastructure provider — high-deliverability Microsoft Entra/Google mailboxes with dedicated domains/IPs per order, pre-configured SPF/DKIM/DMARC, set up in 4-6 hours (vendor claims fully automated, unlike competitors relying on manual/offshore-labor configuration).", "ai_features": "No AI-specific capability confirmed; the \"fully automated\" setup claim describes provisioning automation, not model-driven decisioning — treat as plain automation.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "paid — an \"API/webhooks\" add-on is listed separately at $20/mo on top of the base mailbox order, alongside other paid add-ons (LinkedIn automation $29/account, agency dashboard $27/client) — meaning API access is not included by default even on a paid plan.", "revops_role": "Cold-email infrastructure layer, integrates with Smartlead/Instantly/Bison sequencers per vendor docs; founded August 2024, one of the newer entrants in this file.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.hypertide.io/, https://www.mailforge.ai/blog/hypertide-review, https://maildoso.ai/blog/tools/hypertide, https://www.inboxkit.com/learn/hypertide-review", "notes": "Base plan allows up to 3,000 emails/month from a single order for $25/mo. No MCP server found in any registry checked.", "mcp_status_bucket": "none-found", "api_gate_bucket": "paid", "mcp_urls": [], "source_urls": [ "https://www.hypertide.io/", "https://www.mailforge.ai/blog/hypertide-review", "https://maildoso.ai/blog/tools/hypertide", "https://www.inboxkit.com/learn/hypertide-review" ], "source_annotations": [], "vendor_domain": "hypertide.io", "display_name": "Hypertide", "docs_url": null, "jobs": [ "provision-sending-infrastructure" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "09-hypertide", "also_listed_in": [], "source_file": "09-email-deliverability.md", "source_line": 197, "file_index": 10, "category_num": "09", "category_slug": "email-deliverability", "category_label": "Email Deliverability", "heading": "Hypertide", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 196 }, { "id": "09-inboxally", "slug": "inboxally", "normalized_name": "inboxally", "name": "InboxAlly", "vendor_url": "inboxally.com", "category": "email-deliverability", "what_it_does": "Email warmup and reputation-repair service that adds real seed inboxes into a customer's actual campaigns; those seed accounts perform browser-level engagement (open, read, reply, mark important, move out of spam) rather than simulated network activity.", "ai_features": "No AI-specific capability confirmed; the differentiator is human/browser-level interaction versus bot-simulated engagement, which is a design choice, not an AI feature — treat as plain automation.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "unknown", "revops_role": "Deliverability/reputation-repair layer marketed specifically as the safer alternative to network-based automated warmup, positioned against the ToS risk this category carries.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.inboxally.com/email-warmup-tool, https://docs.inboxally.com/warm-up-sending-strategy/the-dangers-of-using-an-automated-email-warmup-service/, https://www.inboxally.com/blog/gmass-email-warm-up", "notes": "InboxAlly's own knowledge base publishes \"Why are automated email warmup services risky?\" — explicitly naming ToS violation/account-suspension risk and citing Google's January 2023 ban on automated warmup for Gmail as the reason GMass shut its warmup feature down. This is the source behind this file's intro-level ToS flag; InboxAlly positions its own real-seed-account approach as the workaround. No MCP server or API developer portal was found for InboxAlly itself.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.inboxally.com/email-warmup-tool", "https://docs.inboxally.com/warm-up-sending-strategy/the-dangers-of-using-an-automated-email-warmup-service/", "https://www.inboxally.com/blog/gmass-email-warm-up" ], "source_annotations": [], "vendor_domain": "inboxally.com", "display_name": "InboxAlly", "docs_url": null, "jobs": [ "warm-up-inbox" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "09-inboxally", "also_listed_in": [], "source_file": "09-email-deliverability.md", "source_line": 64, "file_index": 3, "category_num": "09", "category_slug": "email-deliverability", "category_label": "Email Deliverability", "heading": "InboxAlly", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 253 }, { "id": "09-infraforge", "slug": "infraforge", "normalized_name": "infraforge", "name": "Infraforge", "vendor_url": "infraforge.ai", "category": "email-deliverability", "what_it_does": "Private cold-email infrastructure platform (part of the same Salesforge \"Forge Stack\" as Mailforge) offering dedicated IPs, automated DNS setup, and pre-warmed domains for high-volume senders who want more control than shared infrastructure.", "ai_features": "No AI-specific capability confirmed; dedicated-IP provisioning and automated DNS/warmup setup read as infrastructure automation, not model-driven.", "mcp_status": "official", "mcp_url": "https://mcp.salesforge.ai/mcp", "mcp_auth": "API key, generated from the Infraforge/Salesforge dashboard.", "api_gate": "paid — pricing starts around $40/month for 10 mailboxes per third-party review; no free tier found.", "revops_role": "Dedicated-IP cold-email infrastructure layer for teams that have outgrown shared mailbox providers (Maildoso, Mailforge) and need isolated reputation per domain/IP.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.infraforge.ai/, https://mcp.salesforge.ai/mcp, https://www.infraforge.ai/blog/scaling-cold-outreach-with-email-apis, https://www.mailforge.ai/blog/hypertide-review", "notes": "Shares the same official MCP endpoint as Mailforge (see that entry) — one connection surfaces both tools plus four siblings. Cross-shop this against Hypertide and Scaledmail below; all three sell some version of \"dedicated, pre-warmed cold-email infrastructure,\" but only the Forge Stack (Mailforge/Infraforge) has a confirmed official MCP.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://mcp.salesforge.ai/mcp" ], "source_urls": [ "https://www.infraforge.ai/", "https://mcp.salesforge.ai/mcp", "https://www.infraforge.ai/blog/scaling-cold-outreach-with-email-apis", "https://www.mailforge.ai/blog/hypertide-review" ], "source_annotations": [], "vendor_domain": "infraforge.ai", "display_name": "Infraforge", "docs_url": null, "jobs": [ "warm-up-inbox", "provision-sending-infrastructure" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "09-infraforge", "also_listed_in": [], "source_file": "09-email-deliverability.md", "source_line": 159, "file_index": 8, "category_num": "09", "category_slug": "email-deliverability", "category_label": "Email Deliverability", "heading": "Infraforge", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 68 }, { "id": "09-maildoso", "slug": "maildoso", "normalized_name": "maildoso", "name": "Maildoso", "vendor_url": "maildoso.ai", "category": "email-deliverability", "what_it_does": "Cold-outreach mailbox and domain infrastructure provider — sells pre-configured SMTP mailboxes and Google Workspace accounts (with SPF/DKIM/DMARC already set up) built specifically for cold email sending, starting at $0.49/mailbox.", "ai_features": "No AI-specific capability confirmed; \"self-healing mailboxes\" and IP rotation read as automated infrastructure management, not model-driven — treat as plain automation.", "mcp_status": "official", "mcp_url": "https://maildoso.ai/ (see \"resources/api\" section; no separate dedicated MCP docs page was found)", "mcp_auth": "unknown — described only as \"API and MCP access\" bundled into every plan, without a documented auth mechanism in sourced pages.", "api_gate": "paid — bundled into paid mailbox plans (starting $0.49/mailbox up to $499/mo for 1,000 mailboxes); no free tier.", "revops_role": "Cold-email-infrastructure layer (domains + mailboxes + DNS) that outbound sequencers (Instantly, Smartlead) send through — a direct competitor to Mailforge/Infraforge/Scaledmail/Hypertide below.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://maildoso.ai/, https://maildoso.ai/blog/recommendations/cold-email-infrastructure-scale-safely, https://maildoso.ai/blog/tools/zapmail", "notes": "Do not confuse with the similarly-named \"Mailforge\" (a separate company, part of the Salesforge/\"Forge Stack\" family — see next entries). Maildoso's own homepage states \"Every plan includes ... API and MCP access,\" a first-party claim, but no dedicated technical documentation page for the MCP server specifically (setup, tool list, transport) was independently located — treat the mcp_url as the best-available vendor page, not a confirmed docs endpoint.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://maildoso.ai/" ], "source_urls": [ "https://maildoso.ai/", "https://maildoso.ai/blog/recommendations/cold-email-infrastructure-scale-safely", "https://maildoso.ai/blog/tools/zapmail" ], "source_annotations": [], "vendor_domain": "maildoso.ai", "display_name": "Maildoso", "docs_url": null, "jobs": [ "provision-sending-infrastructure" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "09-maildoso", "also_listed_in": [], "source_file": "09-email-deliverability.md", "source_line": 121, "file_index": 6, "category_num": "09", "category_slug": "email-deliverability", "category_label": "Email Deliverability", "heading": "Maildoso", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 74 }, { "id": "09-mailforge", "slug": "mailforge", "normalized_name": "mailforge", "name": "Mailforge", "vendor_url": "mailforge.ai", "category": "email-deliverability", "what_it_does": "Shared cold-email infrastructure platform (part of the Salesforge \"Forge Stack\") — automates workspace setup, domain purchase/checks, mailbox creation, DNS records, forwarding, and domain masking for high-volume outbound.", "ai_features": "No AI-specific capability confirmed; infrastructure automation (bulk domain/mailbox provisioning, DNS configuration) reads as rules-based automation, not model-driven.", "mcp_status": "official", "mcp_url": "https://mcp.salesforge.ai/mcp", "mcp_auth": "API key, generated from the Mailforge dashboard.", "api_gate": "paid — no free tier found; positioned for \"scaling shared cold email infrastructure and bulk mailbox management.\"", "revops_role": "Shared (non-dedicated-IP) cold-email infrastructure layer — the lower-cost counterpart to Infraforge's dedicated-IP offering within the same product family.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://mcp.salesforge.ai/mcp, https://www.mailforge.ai/blog/mailforge-api, https://help.salesforge.ai/en/articles/10333582-salesforge-mcp-server-with-claude-for-cold-email-and-linkedin-outreach, https://www.salesforge.ai/blog/cold-email-mcp-server", "notes": "One shared MCP endpoint (mcp.salesforge.ai/mcp) exposes Mailforge alongside five sibling products — Salesforge, Primeforge, Leadsforge, Infraforge, and Warmforge — as native tools in a single connection, set up in under 5 minutes per vendor docs. This is one of the more mature vendor-published MCP rollouts found in this entire file.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://mcp.salesforge.ai/mcp" ], "source_urls": [ "https://mcp.salesforge.ai/mcp", "https://www.mailforge.ai/blog/mailforge-api", "https://help.salesforge.ai/en/articles/10333582-salesforge-mcp-server-with-claude-for-cold-email-and-linkedin-outreach", "https://www.salesforge.ai/blog/cold-email-mcp-server" ], "source_annotations": [], "vendor_domain": "mailforge.ai", "display_name": "Mailforge", "docs_url": null, "jobs": [ "provision-sending-infrastructure" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "09-mailforge", "also_listed_in": [], "source_file": "09-email-deliverability.md", "source_line": 140, "file_index": 7, "category_num": "09", "category_slug": "email-deliverability", "category_label": "Email Deliverability", "heading": "Mailforge", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 75 }, { "id": "09-mailgenius", "slug": "mailgenius", "normalized_name": "mailgenius", "name": "MailGenius", "vendor_url": "mailgenius.com", "category": "email-deliverability", "what_it_does": "Free/paid email deliverability and spam-testing tool — checks SPF/DKIM/DMARC authentication, scans blacklists, previews inbox rendering across Gmail/Outlook, and scores spam likelihood.", "ai_features": "No AI-specific capability confirmed; diagnostic checks (authentication records, header analysis, spam-trigger content scan) read as rules-based testing, not model-driven — treat as plain automation.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "paid — a whitelabel/API tier exists but requires applying for access (mailgenius.com/api-application), not self-serve signup.", "revops_role": "Pre-send deliverability-testing layer, typically run before a cold-email campaign launches rather than continuously in the background like a warmup tool.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.mailgenius.com/, https://www.mailgenius.com/api-application/, https://mcp.pipedream.com/app/mailgenius, https://coldiq.com/tools/mailgenius", "notes": "A \"MailGenius MCP Server\" listing exists at mcp.pipedream.com/app/mailgenius, but Pipedream is a generic workflow-automation platform that auto-generates MCP wrappers around thousands of apps' APIs — it is not a MailGenius-published or dedicated community server, so this is marked none-found per this directory's convention (consistent with how Zapier-MCP-only listings are treated elsewhere in this file and the wider directory).", "mcp_status_bucket": "none-found", "api_gate_bucket": "paid", "mcp_urls": [], "source_urls": [ "https://www.mailgenius.com/", "https://www.mailgenius.com/api-application/", "https://mcp.pipedream.com/app/mailgenius", "https://coldiq.com/tools/mailgenius" ], "source_annotations": [], "vendor_domain": "mailgenius.com", "display_name": "MailGenius", "docs_url": null, "jobs": [ "check-inbox-placement" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "09-mailgenius", "also_listed_in": [], "source_file": "09-email-deliverability.md", "source_line": 83, "file_index": 4, "category_num": "09", "category_slug": "email-deliverability", "category_label": "Email Deliverability", "heading": "MailGenius", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 202 }, { "id": "09-mailreach", "slug": "mailreach", "normalized_name": "mailreach", "name": "Mailreach", "vendor_url": "mailreach.co", "category": "email-deliverability", "what_it_does": "Email warmup and deliverability platform — automates inbox-to-inbox warmup conversations, tracks a \"Heat Score\" reputation metric, and monitors blacklist/authentication status across Gmail, Outlook, and any SMTP provider.", "ai_features": "No AI-specific capability confirmed in sourced pages; the warmup mechanic (automated send/open/reply cycles between real inboxes) and reputation scoring read as rules-based automation and monitoring, not model-driven — treat as plain automation absent further evidence.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "paid — API access appears bundled into the paid service (no free tier found); pricing starts at $25/mo per mailbox ($20/mo billed annually).", "revops_role": "Deliverability-maintenance layer that runs continuously behind an outbound sending tool (Instantly, Smartlead, a raw SMTP account) rather than being invoked directly in a sales workflow.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.mailreach.co/email-warmup-api, https://docs.mailreach.co/api, https://www.trustradius.com/products/mailreach/pricing, https://emailwarmup.com/blog/email-deliverability-tools/mailreach-review/", "notes": "One of the longer-established warmup vendors in this category (frequently cited as an \"original\") but no MCP server, GitHub repo, or registry listing (mcp.so/glama.ai/pulsemcp.com) was found for it.", "mcp_status_bucket": "none-found", "api_gate_bucket": "paid", "mcp_urls": [], "source_urls": [ "https://www.mailreach.co/email-warmup-api", "https://docs.mailreach.co/api", "https://www.trustradius.com/products/mailreach/pricing", "https://emailwarmup.com/blog/email-deliverability-tools/mailreach-review/" ], "source_annotations": [], "vendor_domain": "mailreach.co", "display_name": "Mailreach", "docs_url": null, "jobs": [ "warm-up-inbox" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "09-mailreach", "also_listed_in": [], "source_file": "09-email-deliverability.md", "source_line": 7, "file_index": 0, "category_num": "09", "category_slug": "email-deliverability", "category_label": "Email Deliverability", "heading": "Mailreach", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 203 }, { "id": "09-scaledmail", "slug": "scaledmail", "normalized_name": "scaledmail", "name": "Scaledmail", "vendor_url": "scaledmail.com", "category": "email-deliverability", "what_it_does": "Cold-email infrastructure provider — sets up sending domains, configures DNS authentication (SPF/DKIM/DMARC) from day one, and rotates inboxes so outbound sequences land in the primary tab.", "ai_features": "No AI-specific capability confirmed; domain/DNS setup and inbox rotation read as infrastructure automation, not model-driven.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "unknown", "revops_role": "Cold-email infrastructure layer comparable to Maildoso/Mailforge/Hypertide — DNS/domain/inbox setup that feeds a sequencer, with warmup run inside the customer's own sequencer post-setup rather than as a Scaledmail feature.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.scaledmail.com/, https://www.scaledmail.com/blogs/effortless-email-outreach-with-scaledmail, https://www.infraforge.ai/blog/best-email-apis-for-cold-outreach", "notes": "Pricing starts at $99/mo per one sourced comparison. No API, developer portal, or MCP server was found for Scaledmail in any of the standard registries checked (GitHub, mcp.so, glama.ai, pulsemcp.com).", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.scaledmail.com/", "https://www.scaledmail.com/blogs/effortless-email-outreach-with-scaledmail", "https://www.infraforge.ai/blog/best-email-apis-for-cold-outreach" ], "source_annotations": [], "vendor_domain": "scaledmail.com", "display_name": "Scaledmail", "docs_url": null, "jobs": [ "provision-sending-infrastructure" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "09-scaledmail", "also_listed_in": [], "source_file": "09-email-deliverability.md", "source_line": 178, "file_index": 9, "category_num": "09", "category_slug": "email-deliverability", "category_label": "Email Deliverability", "heading": "Scaledmail", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 278 }, { "id": "09-warmup-inbox", "slug": "warmup-inbox", "normalized_name": "warmup inbox", "name": "Warmup Inbox", "vendor_url": "warmupinbox.com", "category": "email-deliverability", "what_it_does": "Email warmup and deliverability platform running a network of 30,000+ real inboxes that exchange natural-looking email (opens, replies, stars) with a customer's connected accounts to build sender reputation.", "ai_features": "No AI-specific capability confirmed; the warmup mechanic and blacklist monitoring read as automation, not model-driven analysis — treat as plain automation absent further evidence.", "mcp_status": "unknown", "mcp_url": "https://www.warmupinbox.com/blog/product-updates/product-update-new-api/", "mcp_auth": "unknown — the vendor's own API docs describe API-key authentication (api.warmupinbox.com/api-doc, OpenAPI 3.0 spec), but MCP-specific auth was not independently confirmed.", "api_gate": "free — the vendor states the API is \"a free feature on every plan, with no extra charge.\"", "revops_role": "Deliverability-maintenance layer running behind an outbound sending tool, with programmatic control over creating/connecting inboxes and pulling placement metrics.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.warmupinbox.com/blog/product-updates/product-update-new-api/, https://api.warmupinbox.com/api-doc, https://documenter.getpostman.com/view/6493518/2s9YR3dFfb", "notes": "The vendor's own product-update blog post states Warmup Inbox is \"SOC 2 compliant, with an API, MCP server, and CLI for automating warm-up across hundreds of domains\" — a first-party claim on the vendor's own domain. However, a direct fetch of that page timed out and no dedicated MCP docs page, repo, or registry listing was independently reachable to confirm the claim, so this is left as unknown rather than official per the schema's \"no URL, no claim\" law — worth a follow-up hand-check.", "mcp_status_bucket": "unknown", "api_gate_bucket": "free", "mcp_urls": [ "https://www.warmupinbox.com/blog/product-updates/product-update-new-api/" ], "source_urls": [ "https://www.warmupinbox.com/blog/product-updates/product-update-new-api/", "https://api.warmupinbox.com/api-doc", "https://documenter.getpostman.com/view/6493518/2s9YR3dFfb" ], "source_annotations": [], "vendor_domain": "warmupinbox.com", "display_name": "Warmup Inbox", "docs_url": null, "jobs": [ "warm-up-inbox" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "09-warmup-inbox", "also_listed_in": [], "source_file": "09-email-deliverability.md", "source_line": 26, "file_index": 1, "category_num": "09", "category_slug": "email-deliverability", "category_label": "Email Deliverability", "heading": "Warmup Inbox", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 166 }, { "id": "09-warmy-io", "slug": "warmy-io", "normalized_name": "warmy io", "name": "Warmy.io", "vendor_url": "warmy.io", "category": "email-deliverability", "what_it_does": "Email warmup and deliverability platform with an \"AI-driven engagement engine\" — customizable warm-up topic/language selection, works across Gmail, Outlook, Zoho, and Amazon SES, with a real-time webhook/Slack-connected API for adjusting warm-up speed, volume, and timing programmatically.", "ai_features": "Vendor markets the engagement engine as \"AI-driven\" and the warmup content as \"fully personalized\" per message — no independent breakdown of what is model-generated versus templated was found; treat as vendor-stated.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "paid — API is a distinct product tier (\"Warmy API\") rather than bundled into every plan by default, per the vendor's own product page.", "revops_role": "Deliverability-maintenance layer comparable to Mailreach/Warmup Inbox, differentiated on enterprise-sender topic/language customization and webhook-driven programmatic control.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.warmy.io/product/api/, https://www.warmy.io/product/warm-up-email/, https://www.warmy.io/blog/best-email-warmup-deliverability-tools-alternatives/", "notes": "A search result mentioned a separate, apparently unrelated tool called \"mailX\" (a free SPF/DKIM/DMARC/blacklist checker) as having \"API and MCP access\" — that is a different product from Warmy.io and was not pursued further here since it fell outside this file's named seed list; flagged only to avoid future conflation. No MCP server found for Warmy.io itself.", "mcp_status_bucket": "none-found", "api_gate_bucket": "paid", "mcp_urls": [], "source_urls": [ "https://www.warmy.io/product/api/", "https://www.warmy.io/product/warm-up-email/", "https://www.warmy.io/blog/best-email-warmup-deliverability-tools-alternatives/" ], "source_annotations": [], "vendor_domain": "warmy.io", "display_name": "Warmy.io", "docs_url": null, "jobs": [ "warm-up-inbox" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "09-warmy-io", "also_listed_in": [], "source_file": "09-email-deliverability.md", "source_line": 235, "file_index": 12, "category_num": "09", "category_slug": "email-deliverability", "category_label": "Email Deliverability", "heading": "Warmy.io", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 211 }, { "id": "10-cal-com", "slug": "cal-com", "normalized_name": "cal com", "name": "Cal.com", "vendor_url": "cal.com", "category": "scheduling-routing", "what_it_does": "Open-source scheduling infrastructure — booking pages, event types, and a scheduling API/platform — offered both as a free, self-hostable open-source product and as hosted SaaS.", "ai_features": "No distinct AI-driven scheduling-optimization or LLM feature was independently verified on the core product. The MCP server itself is a connectivity feature (translates natural-language requests like \"what bookings do I have this week\" into structured booking/event-type API calls) rather than an AI capability of the product itself.", "mcp_status": "official", "mcp_url": "https://github.com/calcom/cal-mcp (repo self-describes as \"the official MCP server for cal.com\"); docs at https://cal.com/docs/mcp-server; also hosted at mcp.cal.com", "mcp_auth": "Two paths. Hosted server (mcp.cal.com) uses OAuth 2.1 — \"your client handles the authorization flow automatically,\" no API key needed. Self-hosted/local server uses a Cal.com API key generated at Settings -> Developer -> API Keys, passed via a CAL_API_KEY environment variable, run over stdio with Node.js (npx @calcom/cal-mcp@latest).", "api_gate": "free — Cal.com's Free plan has \"no usage limits\" and includes 100+ app integrations; API-key generation is a self-serve account setting in documentation found, not gated behind a paid tier. Cal.com is also open-source and self-hostable via Docker — a genuinely free path Calendly does not offer. Caveat: \"Custom APIs\" / \"Additional APIs\" language appears in the Teams ($12/user/mo) and Organizations ($28/user/mo) plan marketing copy, suggesting some advanced API surface (Platform/Orgs-prefixed endpoints) is tier-gated even though basic API-key access is not.", "revops_role": "Same category role as Calendly (prospect-facing meeting-booking layer) but positioned as the open-source, developer-controlled alternative — appeals to GTM engineers who want to self-host or avoid vendor lock-in.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://github.com/calcom/cal-mcp, https://github.com/calcom/cal-mcp/blob/main/README.md, https://cal.com/docs/mcp-server, https://cal.com/pricing, https://cal.com/docs/api-reference/v2/introduction, https://www.pulsemcp.com/servers/aiwerk-cal-com, https://www.pulsemcp.com/servers/calcom-calendar", "notes": "8 MCP tools enabled by default (getBooking, getBookings, createBooking, rescheduleBooking, cancelBooking, getEventTypes, getEventTypeById, updateEventType, deleteEventType); a --all-tools flag exposes the full Cal.com API surface. Repo flags itself as under active/rapid development (\"features and APIs subject to rapid changes\"). Distinct from at least four community-built Cal.com MCP servers also found on GitHub/PulseMCP (mnicole-dev/calcom-mcp-server, Danielpeter-99/calcom-mcp, bcharleson/calcom-cli, mumunha/cal_dot_com_mcpserver, listed on PulseMCP as \"Cal.com AIWerk\" and \"Cal.com Calendar\") — do not confuse those community projects with the official calcom/cal-mcp repo.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://github.com/calcom/cal-mcp", "https://cal.com/docs/mcp-server" ], "source_urls": [ "https://github.com/calcom/cal-mcp", "https://github.com/calcom/cal-mcp/blob/main/README.md", "https://cal.com/docs/mcp-server", "https://cal.com/pricing", "https://cal.com/docs/api-reference/v2/introduction", "https://www.pulsemcp.com/servers/aiwerk-cal-com", "https://www.pulsemcp.com/servers/calcom-calendar" ], "source_annotations": [], "vendor_domain": "cal.com", "display_name": "Cal.com", "docs_url": null, "jobs": [ "book-a-meeting", "read-calendar-availability" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/calcom/cal-mcp", "https://github.com/calcom/cal-mcp", "https://github.com/calcom/cal-mcp/blob/main/README.md" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "10-cal-com", "also_listed_in": [], "source_file": "10-scheduling-routing.md", "source_line": 26, "file_index": 1, "category_num": "10", "category_slug": "scheduling-routing", "category_label": "Scheduling & Routing", "heading": "Cal.com", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 5 }, { "id": "10-calendly", "slug": "calendly", "normalized_name": "calendly", "name": "Calendly", "vendor_url": "calendly.com", "category": "scheduling-routing", "what_it_does": "Prospect-facing scheduling links and booking pages that let invitees book meetings directly onto a rep's calendar based on defined availability rules.", "ai_features": "The core booking-page product is classic rules-based calendar automation (availability rules, buffers, round robin) — not AI. Calendly separately markets \"Callie,\" an AI relationship-assistant feature (beta) — a genuinely different capability from booking automation, but described only in vendor's own material, unverified independently. The MCP server itself is not an AI feature; it is a structured API surface an AI agent calls to execute the same rules-based booking actions via natural language.", "mcp_status": "official", "mcp_url": "https://developer.calendly.com/calendly-mcp-server (hosted at https://mcp.calendly.com); announcement: https://community.calendly.com/developer-faq-62/announcing-the-calendly-mcp-server-5450; vendor blog: https://calendly.com/blog/mcp-server", "mcp_auth": "OAuth 2.1 Authorization Code + PKCE (S256) with Dynamic Client Registration (RFC 7591). Personal access tokens are not supported. Fully hosted by Calendly at mcp.calendly.com — no self-hosting option.", "api_gate": "free for the MCP server specifically — Calendly's own blog states \"you can use Calendly MCP on any Calendly plan, including the free tier.\" Nuance: broader/advanced REST API functionality (webhooks, deeper integrations) has historically required the paid Standard tier ($10/user/mo)+ per third-party pricing trackers, so \"free\" applies to MCP access, not necessarily every API capability.", "revops_role": "Prospect-facing meeting-booking layer — the \"here's my link, pick a time\" step at the top of a GTM funnel, usually paired with a routing/qualification layer upstream (Chili Piper, RevenueHero, LeanData).", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://developer.calendly.com/calendly-mcp-server, https://community.calendly.com/developer-faq-62/announcing-the-calendly-mcp-server-5450, https://calendly.com/blog/mcp-server, https://meetergo.com/en/magazine/calendly-plans, https://www.cloudeagle.ai/blogs/calendly-pricing-guide, https://costbench.com/software/scheduling/calendly/", "notes": "MCP server released March 11, 2026 (community announcement date). First release \"focused on scheduling workflows\" (availability management, event-type config, meeting booking, link generation). Requires an MCP-compliant client supporting MCP 2025-03-26+ and streamable HTTP — ChatGPT's free tier doesn't support custom MCP connectors, so Calendly's MCP isn't reachable there without a paid ChatGPT plan.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://developer.calendly.com/calendly-mcp-server", "https://mcp.calendly.com", "https://community.calendly.com/developer-faq-62/announcing-the-calendly-mcp-server-5450", "https://calendly.com/blog/mcp-server" ], "source_urls": [ "https://developer.calendly.com/calendly-mcp-server", "https://community.calendly.com/developer-faq-62/announcing-the-calendly-mcp-server-5450", "https://calendly.com/blog/mcp-server", "https://meetergo.com/en/magazine/calendly-plans", "https://www.cloudeagle.ai/blogs/calendly-pricing-guide", "https://costbench.com/software/scheduling/calendly/" ], "source_annotations": [], "vendor_domain": "calendly.com", "display_name": "Calendly", "docs_url": null, "jobs": [ "book-a-meeting", "read-calendar-availability" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "10-calendly", "also_listed_in": [], "source_file": "10-scheduling-routing.md", "source_line": 7, "file_index": 0, "category_num": "10", "category_slug": "scheduling-routing", "category_label": "Scheduling & Routing", "heading": "Calendly", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 6 }, { "id": "10-chili-piper", "slug": "chili-piper", "normalized_name": "chili piper", "name": "Chili Piper", "vendor_url": "chilipiper.com", "category": "scheduling-routing", "what_it_does": "Inbound lead-routing and instant meeting-booking platform (\"Concierge\") that qualifies web-form leads and books them directly onto the right rep's calendar in real time.", "ai_features": "Vendor markets several AI-branded features — Chat AI (24/7 visitor qualification and booking), Chili Assist (\"build routing rules in plain English\"), AI agents for ICP scoring/intent detection, a spam checker, and pre-call meeting prep — but underlying model mechanics are not disclosed publicly; treat as vendor-stated. The core routing engine (queues, round robin, territory rules) is conventional rules-based distribution logic wrapped in a natural-language config layer.", "mcp_status": "official", "mcp_url": "https://www.chilipiper.com/products/mcp (endpoint: https://fire.chilipiper.com/api/fire-edge/v1/org/mcp, HTTP transport; setup README: https://github.com/Chili-Piper/mcp-assets/blob/main/mcp-servers/chili-piper/README.md; registry listing: https://www.pulsemcp.com/servers/chili-piper, server id com.chilipiper/mcp)", "mcp_auth": "Two supported paths, both vendor-documented. Option A (vendor-recommended): a Chili Piper Edge API key, generated by an admin in Command Center and passed as \"Authorization: Bearer \", usable by non-admins and scopable per permission (api.ping, meeting.read, concierge.read, availability.read, handoff.schedule, user.read, workspace.read, team.read, rule.read). Option B: browser OAuth login, admin role required. PulseMCP lists only OAuth; the vendor marketing page lists only the API key. Neither source is wrong, each is partial.", "api_gate": "paid - MCP/programmatic scheduling ships inside the \"Routing & Scheduling\" tier and above, starting around $1,250/mo ($15K/yr, 15 seats included per one source). PulseMCP states plainly \"paid service (no free tier available)\". Not accessible to a solo operator without a paid contract.", "revops_role": "Inbound lead-routing plus meeting-booking layer sitting between web forms/CRM and reps' calendars; also positions itself as infrastructure other AI SDR/voice agents call to book meetings end-to-end.", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://www.chilipiper.com/products/mcp, https://www.chilipiper.com/pricing, https://github.com/Chili-Piper/mcp-assets, https://www.pulsemcp.com/servers/chili-piper, https://github.com/hyypeman/chilipiper-mcp, https://apitracker.io/a/chili-piper", "notes": "DEFECT FIXED 2026-08-25. This entry and the Chili Piper entry in 14-inbound-plg-chat.md previously carried conflicting mcp_url and mcp_auth values (this file said the product page plus API key; file 14 said the PulseMCP listing plus OAuth). Neither was wrong. The vendor's own setup README documents BOTH auth paths, and each source had surfaced only one of them. Both entries now carry identical, reconciled mcp/auth/gate fields, and the real server endpoint (fire.chilipiper.com/api/fire-edge/v1/org/mcp) is recorded for the first time in either. Note the split hosts: the REST Edge API base is edge.chilipiper.com while the MCP lives on fire.chilipiper.com. The github.com/Chili-Piper/mcp-assets repo is a Claude Skills / GPT Actions asset bundle, not the server itself. A separate community MCP server also exists (github.com/hyypeman/chilipiper-mcp, MIT license, authenticates via CHILIPIPER_API_KEY plus a domain-slug env var) as a lighter-weight alternative. Third-party MCP wrappers also exist via Zapier (zapier.com/mcp/chili-piper) and viasocket.com; do not confuse any of these with Chili Piper's own official server.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://www.chilipiper.com/products/mcp", "https://fire.chilipiper.com/api/fire-edge/v1/org/mcp", "https://github.com/Chili-Piper/mcp-assets/blob/main/mcp-servers/chili-piper/README.md", "https://www.pulsemcp.com/servers/chili-piper" ], "source_urls": [ "https://www.chilipiper.com/products/mcp", "https://www.chilipiper.com/pricing", "https://github.com/Chili-Piper/mcp-assets", "https://www.pulsemcp.com/servers/chili-piper", "https://github.com/hyypeman/chilipiper-mcp", "https://apitracker.io/a/chili-piper" ], "source_annotations": [], "vendor_domain": "chilipiper.com", "display_name": "Chili Piper", "docs_url": "https://help.chilipiper.com/hc/en-us/sections/4413992727699-API-References-Edge-API", "jobs": [ "book-a-meeting", "read-calendar-availability", "answer-inbound-chat", "route-inbound-lead", "score-and-prioritize-leads" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/Chili-Piper/mcp-assets/blob/main/mcp-servers/chili-piper/README.md", "https://github.com/Chili-Piper/mcp-assets", "https://github.com/hyypeman/chilipiper-mcp" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "10-chili-piper", "also_listed_in": [ { "id": "14-chili-piper", "name": "Chili Piper", "category_num": "14", "category_slug": "inbound-plg-chat", "source_file": "14-inbound-plg-chat.md", "canonical": false } ], "source_file": "10-scheduling-routing.md", "source_line": 45, "file_index": 2, "category_num": "10", "category_slug": "scheduling-routing", "category_label": "Scheduling & Routing", "heading": "Chili Piper", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 51 }, { "id": "10-clara", "slug": "clara", "normalized_name": "clara", "name": "Clara (Clara Labs)", "vendor_url": "claralabs.com", "category": "scheduling-routing", "what_it_does": "AI scheduling assistant reached by CC'ing \"Clara\" on an email thread — it reads the thread, proposes times, handles replies, and confirms meetings across Google Workspace, Outlook, Zoom, and Teams without a human doing the back-and-forth.", "ai_features": "The core mechanism (reading email threads, proposing/negotiating times, confirming) plausibly requires real NLP, but Clara Labs discloses no model details publicly. The vendor states \"no human at Clara reads your emails,\" implying full automation — a vendor privacy claim, not an independently verified capability breakdown.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "paid — a 14-day free trial exists (5 meetings) but there is no perpetual free tier; Standard is $80/month (30 meetings), Enterprise is contact-sales for unlimited/company-wide use.", "revops_role": "Adjacent to core GTM stacks — most naturally an EA/executive-scheduling tool (vendor's own listed segments are recruiters, legal/finance, executives, founders, agencies) rather than a rep-facing prospect-booking tool, included here as a genuinely AI-driven scheduling-negotiation product worth knowing about.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://claralabs.com, https://claralabs.com/pricing, https://www.pulsemcp.com (searched \"clara\", zero relevant results)", "notes": "No mention of API or MCP access anywhere on the public site or in MCP registries (mcp.so, glama.ai, pulsemcp.com all returned nothing relevant for \"Clara\" scheduling).", "mcp_status_bucket": "none-found", "api_gate_bucket": "paid", "mcp_urls": [], "source_urls": [ "https://claralabs.com", "https://claralabs.com/pricing", "https://www.pulsemcp.com" ], "source_annotations": [ "searched \"clara\"", "zero relevant results" ], "vendor_domain": "claralabs.com", "display_name": "Clara (Clara Labs)", "docs_url": null, "jobs": [ "book-a-meeting", "read-calendar-availability" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "10-clara", "also_listed_in": [], "source_file": "10-scheduling-routing.md", "source_line": 236, "file_index": 12, "category_num": "10", "category_slug": "scheduling-routing", "category_label": "Scheduling & Routing", "heading": "Clara (Clara Labs)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 189 }, { "id": "10-clockwise", "slug": "clockwise", "normalized_name": "clockwise", "name": "Clockwise", "vendor_url": "getclockwise.com", "category": "scheduling-routing", "what_it_does": "Historical — team-calendar optimization app that auto-scheduled/rescheduled meetings across a team, defended Focus Time, and blocked task time factoring in each person's working hours/preferences. THE PRODUCT IS SHUT DOWN — see notes.", "ai_features": "Historical — multi-party meeting-conflict resolution and rescheduling, Focus Time optimization, \"smart holds\": classic scheduling-optimization algorithms marketed as AI-driven (\"scheduling intelligence\"). No independently verified LLM-specific feature (e.g. generative summary/chat) was documented before shutdown.", "mcp_status": "none-found", "mcp_url": "n/a (was https://mcp.getclockwise.com — endpoint no longer resolves; historical announcement was at getclockwise.com/blog/introducing-clockwise-mcp, no longer live)", "mcp_auth": "n/a (was OAuth, per historical PulseMCP listing and Clockwise's own support docs)", "api_gate": "unknown/moot — product discontinued, no live API to gate", "revops_role": "Formerly filled the same team-calendar-optimization niche as Reclaim/Motion for reps and AEs. No longer usable.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.getclockwise.com, https://aiforautomation.io/news/2026-03-20-clockwise-ai-scheduling-salesforce-acquires-shuts-down, https://thedailyclaws.com/blog/2026-03-20-news-clockwise-shutdown-salesforce/, https://www.usecarly.com/blog/is-clockwise-shutting-down/, https://finance.yahoo.com/sectors/technology/articles/salesforce-recuits-team-behind-calendar-app-clockwise-103000806.html, https://vantagepoint.io/blog/sf/clockwise-salesforce-agentic-ai-acquihire-crm-strategy, https://www.pulsemcp.com/servers/clockwise", "notes": "CLOCKWISE IS SHUT DOWN. Salesforce acqui-hired the Clockwise team in late 2025 (folded into Agentforce/agentic-AI effort — people, not the standalone product). getclockwise.com now shows a static wind-down notice stating the product \"will no longer be available starting on March 27, 2026\" — a date already passed as of this file's last_checked. support.getclockwise.com and mcp.getclockwise.com no longer resolve (confirmed via direct fetch during this research pass). Clockwise officially recommended Reclaim.ai as the migration path for departing customers, with a price-match guarantee cited by third-party sources. Kept in this file as a discontinued/historical entry on purpose — this kind of quiet mid-category death is exactly what INDEX.md's \"quiet deaths and rebrands\" section exists to catch. Do not present this as a live, usable tool in any published content.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [ "https://mcp.getclockwise.com" ], "source_urls": [ "https://www.getclockwise.com", "https://aiforautomation.io/news/2026-03-20-clockwise-ai-scheduling-salesforce-acquires-shuts-down", "https://thedailyclaws.com/blog/2026-03-20-news-clockwise-shutdown-salesforce/", "https://www.usecarly.com/blog/is-clockwise-shutting-down/", "https://finance.yahoo.com/sectors/technology/articles/salesforce-recuits-team-behind-calendar-app-clockwise-103000806.html", "https://vantagepoint.io/blog/sf/clockwise-salesforce-agentic-ai-acquihire-crm-strategy", "https://www.pulsemcp.com/servers/clockwise" ], "source_annotations": [], "vendor_domain": "getclockwise.com", "display_name": "Clockwise", "docs_url": null, "jobs": [], "jobs_tagged_by": null, "jobs_tagged_on": null, "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "10-clockwise", "also_listed_in": [], "source_file": "10-scheduling-routing.md", "source_line": 160, "file_index": 8, "category_num": "10", "category_slug": "scheduling-routing", "category_label": "Scheduling & Routing", "heading": "Clockwise (discontinued — see notes)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 239 }, { "id": "10-default", "slug": "default", "normalized_name": "default", "name": "Default", "vendor_url": "default.com", "category": "scheduling-routing", "what_it_does": "\"Agentic GTM infrastructure\" platform unifying CRM, website-form, and enrichment data into one identity-resolved model, with lead routing, scheduling, enrichment, and workflow automation built on top.", "ai_features": "Genuinely notable natural-language config layer — a \"Dot\" agent lets users define routing/territory/segment logic in plain language, compiled into deployed rules (\"Text-to-Meeting,\" beta) — and third-party AI agents (Claude, ChatGPT) can book/reschedule/cancel meetings via the MCP/API, which is real agent autonomy. Underlying routing mechanics (round robin, if/else branching, queues, fairness/load balancing) remain conventional rules-based automation — the AI sits in the config/interface layer, not the routing math itself.", "mcp_status": "official", "mcp_url": "https://www.default.com/product/platform (vendor's own page states \"MCP access to data and tools for every agent, whether built inside Default or on top of it,\" labeled \"in beta\"; no separate dedicated MCP docs/repo page was found)", "mcp_auth": "unknown — not specified on the public page (plausibly API key or OAuth given CRM-grade data access, but unconfirmed)", "api_gate": "unknown — no public pricing page found (default.com/pricing returned 404); the site offers only \"Request a Demo,\" no self-serve signup, suggesting a sales-gated motion, but this is inference rather than a confirmed fact.", "revops_role": "Broader GTM data/orchestration layer where scheduling and lead routing are one module among enrichment, workflows, and agent orchestration — pitched as a Chili Piper/RevenueHero alternative with a wider remit.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.default.com/product/platform, https://www.default.com/product/lead-routing-software, https://www.default.com/product/sales-scheduling-software, https://www.default.com/pricing", "notes": "No official GitHub org locatable (github.com/default resolves to an unrelated individual account, not the vendor). The MCP claim rests on marketing copy only (explicitly \"in beta\"), not yet backed by findable technical docs — flagged so a reader verifies before building on it.", "mcp_status_bucket": "official", "api_gate_bucket": "unknown", "mcp_urls": [ "https://www.default.com/product/platform" ], "source_urls": [ "https://www.default.com/product/platform", "https://www.default.com/product/lead-routing-software", "https://www.default.com/product/sales-scheduling-software", "https://www.default.com/pricing" ], "source_annotations": [], "vendor_domain": "default.com", "display_name": "Default", "docs_url": null, "jobs": [ "enrich-company-from-domain", "book-a-meeting", "run-automation-workflow", "route-inbound-lead", "score-and-prioritize-leads" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": false, "canonical_id": "06-default", "also_listed_in": [ { "id": "06-default", "name": "Default", "category_num": "06", "category_slug": "revops-infra", "source_file": "06-revops-infra.md", "canonical": true } ], "source_file": "10-scheduling-routing.md", "source_line": 65, "file_index": 3, "category_num": "10", "category_slug": "scheduling-routing", "category_label": "Scheduling & Routing", "heading": "Default", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 130 }, { "id": "10-doodle", "slug": "doodle", "normalized_name": "doodle", "name": "Doodle", "vendor_url": "doodle.com", "category": "scheduling-routing", "what_it_does": "General-purpose group-scheduling tool — polls for finding a time that works across many participants, sign-up sheets, and 1:1 booking pages — used more broadly than GTM specifically (events, recruiting, ops) but present in some sales/CS booking stacks.", "ai_features": "Markets \"agentic calendar orchestration\" and \"preference-aware scheduling\" that \"learns team patterns over time,\" but no model details, technical documentation, or independent verification were found — treat as unverified vendor marketing language layered on what is historically a poll/booking-page product.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "unknown — a paid \"Premium\" tier exists alongside a free option, but specific API-access gating was not found on public pages in this pass.", "revops_role": "The least GTM-native tool in this file — more useful for internal/cross-team group scheduling and events than prospect-facing sales booking; included for completeness since it surfaced during discovery.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://doodle.com, https://www.pulsemcp.com (searched \"doodle\" scheduling, zero relevant results)", "notes": "Swiss company; SOC 2/GDPR/CCPA/HIPAA compliance claimed on its homepage. Included as a discovery item rather than a core recommendation — see Sweep notes.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://doodle.com", "https://www.pulsemcp.com" ], "source_annotations": [ "searched \"doodle\" scheduling", "zero relevant results" ], "vendor_domain": "doodle.com", "display_name": "Doodle", "docs_url": null, "jobs": [ "book-a-meeting", "read-calendar-availability" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "10-doodle", "also_listed_in": [], "source_file": "10-scheduling-routing.md", "source_line": 255, "file_index": 13, "category_num": "10", "category_slug": "scheduling-routing", "category_label": "Scheduling & Routing", "heading": "Doodle", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 244 }, { "id": "10-kronologic", "slug": "kronologic", "normalized_name": "kronologic", "name": "Kronologic", "vendor_url": "kronologic.com", "category": "scheduling-routing", "what_it_does": "Automated meeting-booking platform that sends calendar invites directly (not just booking links) on a rep's behalf and negotiates meeting times over email, aimed mainly at customer-expansion motions (renewals, upsells, reactivations) as well as inbound.", "ai_features": "Vendor claims the system reads reply emails, classifies intent (interested / not now / wrong person / question), and negotiates a time in natural language while staying calendar-aware — plausibly real NLP/intent classification, but no public detail on model type, training, or accuracy is disclosed; treat as an unverified vendor claim. Account-owner routing and availability-matching underneath is standard rules/calendar-API logic.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "unknown for a general API/developer surface (no API/webhook/SDK docs found anywhere on the site), but Kronologic is notably the only tool in this file with a genuine self-serve Free tier ($0/mo: booking page + Google Calendar + 2 meeting types) — though the AI \"negotiation\" features that differentiate it are gated to paid Pro ($15/seat/mo) and Team ($49/seat/mo) tiers.", "revops_role": "Calendar-invite-first meeting-booking automation, most differentiated for customer-success/expansion motions rather than net-new inbound routing.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.kronologic.com/, https://www.kronologic.com/pricing/, https://www.kronologic.com/calendar-link-vs-kronologic", "notes": "Vendor domain redirects from kronologic.ai to kronologic.com (canonical). No MCP or public API surface found in any registry (mcp.so, glama.ai, pulsemcp.com) or on the vendor's own site after repeated targeted checks — a genuine gap, not a search failure.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.kronologic.com/", "https://www.kronologic.com/pricing/", "https://www.kronologic.com/calendar-link-vs-kronologic" ], "source_annotations": [], "vendor_domain": "kronologic.com", "display_name": "Kronologic", "docs_url": null, "jobs": [ "book-a-meeting", "read-calendar-availability", "route-inbound-lead" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "10-kronologic", "also_listed_in": [], "source_file": "10-scheduling-routing.md", "source_line": 103, "file_index": 5, "category_num": "10", "category_slug": "scheduling-routing", "category_label": "Scheduling & Routing", "heading": "Kronologic", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 257 }, { "id": "10-leandata", "slug": "leandata", "normalized_name": "leandata", "name": "LeanData", "vendor_url": "leandata.com", "category": "scheduling-routing", "what_it_does": "GTM lead-routing/orchestration platform for Salesforce-centric revenue teams — routes leads, signals, and buying-group activity to the right rep/queue across the customer lifecycle, plus a scheduling add-on (BookIt).", "ai_features": "Vendor markets \"AI-assisted routing,\" an \"AI SDR routing\" capability, and a \"LeanData AI\" platform component, plus positions itself as \"the backbone for AI-ready infrastructure\" for GTM agents — these are vendor-stated capabilities with no independent technical breakdown found distinguishing genuine ML-driven routing decisions from LeanData's historically rules/workflow-engine-based core product.", "mcp_status": "unknown", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "enterprise-only — pricing page confirms no free tier (\"Setup and onboarding are tailored and billed separately for all packages\"); three custom-quoted editions (Standard/Advanced/Premium) plus BookIt Scheduling and Buying Groups as separate paid add-ons; no transparent self-serve pricing found.", "revops_role": "Internal inbound-lead-routing/orchestration layer sitting in front of Salesforce, deciding who a lead or signal goes to and triggering the right next action (including handing off to BookIt for scheduling).", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://leandata.com, https://leandata.com/platform/pricing/, https://docs.leandata.com", "notes": "LeanData's own homepage references a \"BookIt MCP (Model Context Protocol server)\" tied to a \"Q2 2026 release,\" but no dedicated MCP docs page, repo, or endpoint could be located — docs.leandata.com search returned nothing and leandata.com/platform/bookit/ 404'd. This is a real, sourced mention of an MCP claim without a verifiable URL, so per this directory's law (an MCP claim requires a URL) it is recorded as mcp_status: unknown rather than official — worth a manual re-check once LeanData's Q2 2026 release material is more discoverable.", "mcp_status_bucket": "unknown", "api_gate_bucket": "enterprise-only", "mcp_urls": [], "source_urls": [ "https://leandata.com", "https://leandata.com/platform/pricing/", "https://docs.leandata.com" ], "source_annotations": [], "vendor_domain": "leandata.com", "display_name": "LeanData", "docs_url": null, "jobs": [ "book-a-meeting", "route-inbound-lead" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "10-leandata", "also_listed_in": [], "source_file": "10-scheduling-routing.md", "source_line": 198, "file_index": 10, "category_num": "10", "category_slug": "scheduling-routing", "category_label": "Scheduling & Routing", "heading": "LeanData", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 168 }, { "id": "10-motion", "slug": "motion", "normalized_name": "motion", "name": "Motion", "vendor_url": "usemotion.com", "category": "scheduling-routing", "what_it_does": "AI-driven work-management app that auto-schedules a user's tasks, projects, and meetings onto their calendar around priorities and deadlines, bundled with note-taking and document tools.", "ai_features": "Genuine, long-standing optimization algorithm — constraint-based task auto-scheduling that places and reshuffles tasks around existing meetings and deadlines; this is Motion's original scheduling engine, not LLM-based. Newer vendor-marketed features (AI Project Manager, AI Task Manager, AI Calendar Assistant, AI Meeting Notetaker, AI Docs Assistant, AI Chat) are plausibly LLM-backed, especially notetaking/summarization, but not independently verified against a technical teardown — treat as vendor-stated.", "mcp_status": "community", "mcp_url": "https://github.com/RF-D/motion-mcp (one of several competing unofficial servers; also github.com/devondragon/MotionMCP, github.com/h3ro-dev/motion-mcp-server, github.com/christopher-czaban/motion-mcp-server, github.com/Identityex/use-motion-mcp-server) — the RF-D repo states plainly: \"This is a community-built integration, not an official Motion product.\"", "mcp_auth": "API key (MOTION_API_KEY from Motion Settings -> API), per community repos. Rate limits reported at 12 req/min for individual accounts, 120 req/min for team accounts.", "api_gate": "paid — Motion has no free tier at all (Pro AI $19/seat/mo, Business AI $29/seat/mo are the only listed plans); API access requires an API key issued to a paid account.", "revops_role": "Personal/individual-rep calendar-and-task auto-scheduler — the \"how does my day get built\" layer for an AE or rep, not a prospect-facing booking tool.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://usemotion.com, https://www.usemotion.com/pricing, https://www.usemotion.com/help, https://api-docs.usemotion.com/, https://docs.usemotion.com/, https://github.com/RF-D/motion-mcp, https://mcp.so/servers/motion-mcp-server", "notes": "No official MCP found despite an actively maintained vendor REST API and dev docs — the MCP ecosystem here is entirely community-built and fragmented across 5+ competing unofficial servers, a maturity gap relative to Reclaim/Calendly/Cal.com.", "mcp_status_bucket": "community", "api_gate_bucket": "paid", "mcp_urls": [ "https://github.com/RF-D/motion-mcp" ], "source_urls": [ "https://usemotion.com", "https://www.usemotion.com/pricing", "https://www.usemotion.com/help", "https://api-docs.usemotion.com/", "https://docs.usemotion.com/", "https://github.com/RF-D/motion-mcp", "https://mcp.so/servers/motion-mcp-server" ], "source_annotations": [], "vendor_domain": "usemotion.com", "display_name": "Motion", "docs_url": null, "jobs": [ "summarize-meeting", "read-calendar-availability" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/RF-D/motion-mcp", "https://github.com/RF-D/motion-mcp" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "10-motion", "also_listed_in": [], "source_file": "10-scheduling-routing.md", "source_line": 122, "file_index": 6, "category_num": "10", "category_slug": "scheduling-routing", "category_label": "Scheduling & Routing", "heading": "Motion", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 148 }, { "id": "10-reclaim-ai", "slug": "reclaim-ai", "normalized_name": "reclaim ai", "name": "Reclaim.ai", "vendor_url": "reclaim.ai", "category": "scheduling-routing", "what_it_does": "AI calendar app that auto-schedules tasks, habits, and focus time around a user's existing meetings, dynamically defending and rebalancing the calendar as things change.", "ai_features": "Genuine, well-established optimization algorithms — focus-time defense, habit scheduling (recurring flexible blocks), meeting-conflict/priority-based rescheduling, and task auto-scheduling, Reclaim's original non-LLM engine. Homepage markets these as \"AI agents that schedule work, meetings, and life — automatically,\" which reads as marketing framing over the same optimization engine rather than evidence of new distinct LLM decisioning; no standalone LLM feature (e.g. natural-language chat scheduling) independently confirmed.", "mcp_status": "official", "mcp_url": "https://mcp.reclaim.ai (endpoint confirmed live — returns HTTP 401 Unauthorized, i.e. a real OAuth-gated server, not dead); Reclaim's pricing page also lists \"Claude/Claude Code MCP support\" and \"Microsoft Copilot/Copilot Cowork MCP support\" as features across tiers.", "mcp_auth": "OAuth (official hosted server). A separate unofficial/community server also exists (github.com/universalamateur/reclaim-mcp-server, explicitly marked \"UNOFFICIAL & UNAFFILIATED\"; also github.com/jj3ny/reclaim-mcp-server) using API-key auth via app.reclaim.ai/settings/developer.", "api_gate": "unknown for general REST API tier-gating — a developer API-key settings page exists (app.reclaim.ai/settings/developer) suggesting broad availability, but no page found states whether API access itself is free-tier-eligible. Confirmed paid-gated: webhooks are Business/Enterprise-only per reclaim.ai/pricing (not on Lite/Starter). MCP support itself is listed as included across multiple pricing tiers.", "revops_role": "Personal/team calendar-optimization layer for an AE or rep — auto-schedules deep-work/prep time and habits around booked meetings; not prospect-facing.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://reclaim.ai, https://reclaim.ai/pricing, https://mcp.reclaim.ai, https://github.com/universalamateur/reclaim-mcp-server, https://erikmackinnon.com/tools/reclaim-mcp/, https://reclaim.ai/blog/dropbox-acquires-reclaim, https://www.geekwire.com/2024/dropbox-acquires-reclaim-a-calendar-app-that-uses-ai-scheduling-to-boost-productivity/", "notes": "Acquired by Dropbox in August 2024 (~320,000 users / 43,000+ companies at acquisition; product continues operating independently under Dropbox per founders' statements). Following Clockwise's March 2026 shutdown (see below), Reclaim has been publicly positioned — including by Clockwise itself — as the recommended migration target, making it the practical category survivor.", "mcp_status_bucket": "official", "api_gate_bucket": "unknown", "mcp_urls": [ "https://mcp.reclaim.ai" ], "source_urls": [ "https://reclaim.ai", "https://reclaim.ai/pricing", "https://mcp.reclaim.ai", "https://github.com/universalamateur/reclaim-mcp-server", "https://erikmackinnon.com/tools/reclaim-mcp/", "https://reclaim.ai/blog/dropbox-acquires-reclaim", "https://www.geekwire.com/2024/dropbox-acquires-reclaim-a-calendar-app-that-uses-ai-scheduling-to-boost-productivity/" ], "source_annotations": [], "vendor_domain": "reclaim.ai", "display_name": "Reclaim.ai", "docs_url": null, "jobs": [ "read-calendar-availability" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/universalamateur/reclaim-mcp-server" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "10-reclaim-ai", "also_listed_in": [], "source_file": "10-scheduling-routing.md", "source_line": 141, "file_index": 7, "category_num": "10", "category_slug": "scheduling-routing", "category_label": "Scheduling & Routing", "heading": "Reclaim.ai", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 138 }, { "id": "10-revenuehero", "slug": "revenuehero", "normalized_name": "revenuehero", "name": "RevenueHero", "vendor_url": "revenuehero.io", "category": "scheduling-routing", "what_it_does": "Instant meeting-scheduling and inbound-lead-routing tool that qualifies web-form leads against CRM data and books them directly onto the right rep's calendar without a redirect.", "ai_features": "No genuine ML/AI capability independently found on public pages — routing is described purely in terms of round-robin/custom distribution rules and CRM-based qualification logic; no predictive scoring, send-time optimization, or NLP claims found. This is a rules-based routing/scheduling tool despite category adjacency to AI-branded competitors.", "mcp_status": "official", "mcp_url": "https://www.revenuehero.io/resources/tales-of-ops (vendor's own case-study page — the only public documentation found; describes a live MCP server RevenueHero's own engineering team provisions per customer over an SSE endpoint with a router token and system prompt)", "mcp_auth": "Per-customer router token over an SSE endpoint, manually provisioned by RevenueHero — not a self-serve API-key flow.", "api_gate": "unknown/enterprise-leaning — no public developer/API docs were found (help.revenuehero.io covers webhooks, JS events, and workflows only); the MCP server is obtainable only by contacting RevenueHero directly. The product itself is self-serve and tiered (Inbound Essentials ~$79/mo + $25-35/user; Enterprise ~$79/mo + $35-45/user; Lite $15/user; 14-day free trial, no perpetual free tier), but MCP access specifically is white-glove, not a plan checkbox.", "revops_role": "Inbound lead-routing plus instant meeting booking, positioned as a leaner/cheaper Chili Piper alternative for the same form-to-meeting conversion category.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.revenuehero.io/resources/tales-of-ops, https://www.revenuehero.io/pricing, https://help.revenuehero.io/home/get-started, https://help.revenuehero.io/llms.txt, https://github.com/revenuehero/sdk", "notes": "Do not confuse with RevenueCat (an unrelated in-app-subscriptions product) — a frequent search-namesake collision. A public SDK exists on GitHub (github.com/revenuehero/sdk, AGPL-3.0) but its purpose/API surface could not be confirmed from its README in this pass.", "mcp_status_bucket": "official", "api_gate_bucket": "unknown", "mcp_urls": [ "https://www.revenuehero.io/resources/tales-of-ops" ], "source_urls": [ "https://www.revenuehero.io/resources/tales-of-ops", "https://www.revenuehero.io/pricing", "https://help.revenuehero.io/home/get-started", "https://help.revenuehero.io/llms.txt", "https://github.com/revenuehero/sdk" ], "source_annotations": [], "vendor_domain": "revenuehero.io", "display_name": "RevenueHero", "docs_url": null, "jobs": [ "book-a-meeting", "read-calendar-availability", "route-inbound-lead", "score-and-prioritize-leads" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/revenuehero/sdk" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "10-revenuehero", "also_listed_in": [], "source_file": "10-scheduling-routing.md", "source_line": 84, "file_index": 4, "category_num": "10", "category_slug": "scheduling-routing", "category_label": "Scheduling & Routing", "heading": "RevenueHero", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 139 }, { "id": "10-savvycal", "slug": "savvycal", "normalized_name": "savvycal", "name": "SavvyCal", "vendor_url": "savvycal.com", "category": "scheduling-routing", "what_it_does": "Prospect-facing scheduling/booking-page tool (Calendly competitor) built around letting invitees overlay their own calendar on the organizer's availability, with Collective/Round-Robin/Group team-scheduling modes.", "ai_features": "No AI features found or marketed on the vendor's public pages — this is classic rules-based calendar automation (buffers, meeting limits, time-blocking, branded booking links), not an AI product.", "mcp_status": "community", "mcp_url": "https://github.com/arturkoter/savvycal-mcp-server", "mcp_auth": "API key (SAVVYCAL_API_KEY env var, a personal access token from SavvyCal's Developer Settings). MIT-licensed repo, not explicitly disclaiming official/unofficial status but built by a third-party GitHub account, not SavvyCal's own org.", "api_gate": "paid — SavvyCal has a genuine free tier for the product itself (\"kick the tires for free\"), but \"API & Webhooks\" appears only in the Premium tier ($17/user/mo) feature list, not Basic ($10/user/mo) — API access is gated above both the free tier and the entry paid tier.", "revops_role": "Same prospect-facing booking-link role as Calendly/Cal.com, positioned as a UX-differentiated alternative (calendar-overlay booking flow).", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://savvycal.com, https://savvycal.com/pricing, https://github.com/arturkoter/savvycal-mcp-server", "notes": "developers.savvycal.com exists as a dedicated dev-docs section but detailed content wasn't retrievable in this research pass.", "mcp_status_bucket": "community", "api_gate_bucket": "paid", "mcp_urls": [ "https://github.com/arturkoter/savvycal-mcp-server" ], "source_urls": [ "https://savvycal.com", "https://savvycal.com/pricing", "https://github.com/arturkoter/savvycal-mcp-server" ], "source_annotations": [], "vendor_domain": "savvycal.com", "display_name": "SavvyCal", "docs_url": null, "jobs": [ "book-a-meeting", "read-calendar-availability" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/arturkoter/savvycal-mcp-server", "https://github.com/arturkoter/savvycal-mcp-server" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "10-savvycal", "also_listed_in": [], "source_file": "10-scheduling-routing.md", "source_line": 179, "file_index": 9, "category_num": "10", "category_slug": "scheduling-routing", "category_label": "Scheduling & Routing", "heading": "SavvyCal", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 150 }, { "id": "10-trevor-ai", "slug": "trevor-ai", "normalized_name": "trevor ai", "name": "Trevor AI", "vendor_url": "trevorai.com", "category": "scheduling-routing", "what_it_does": "AI planning app that merges task management and calendar scheduling — connects task lists (Todoist, Google Tasks, Microsoft To-Do) and calendars (Google, Outlook, Microsoft 365) into one auto-scheduled daily plan.", "ai_features": "Genuinely AI-flavored feature set — \"AI-powered scheduling that predicts task duration and suggests optimal time slots,\" a \"Plan My Day\" auto-scheduler, a \"personal AI model\" (Pro tier), and an \"Ask Trevor\" conversational interface. Vendor claims a completion-rate lift (\"85% vs 40%\") that is unverified/self-reported and should be treated as marketing, not fact.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "unknown — no API or MCP mentioned anywhere on the public site; integration is limited to connecting existing calendar/task-manager accounts, not a developer-facing API.", "revops_role": "Personal calendar/task-optimization layer for an individual rep, same niche as Motion/Reclaim but priced for solo use.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://trevorai.com", "notes": "Cheapest tool in this file by a wide margin (Pro is $5/mo annual, $6/mo monthly) and has a real perpetual free tier, but has no API/MCP surface at all — a personal-productivity tool rather than a team GTM system.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://trevorai.com" ], "source_annotations": [], "vendor_domain": "trevorai.com", "display_name": "Trevor AI", "docs_url": null, "jobs": [ "read-calendar-availability" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "10-trevor-ai", "also_listed_in": [], "source_file": "10-scheduling-routing.md", "source_line": 217, "file_index": 11, "category_num": "10", "category_slug": "scheduling-routing", "category_label": "Scheduling & Routing", "heading": "Trevor AI", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 285 }, { "id": "11-allego", "slug": "allego", "normalized_name": "allego", "name": "Allego", "vendor_url": "allego.com", "category": "enablement-coaching", "what_it_does": "Revenue enablement platform combining learning/onboarding, content management, video-based coaching, and \"Enablement AI\" content/recommendation features for sales teams.", "ai_features": "\"Enablement AI\" analyzes interaction data, content usage, and learning outcomes to recommend the most relevant content per rep/deal — a recommendation and content-governance layer, described by the vendor as \"secure, practical AI\" grounded in approved content, rather than open-ended generative roleplay. No dedicated dynamic-persona roleplay module (comparable to Bigtincan's RolePlayAI or Second Nature) was confirmed.", "mcp_status": "official", "mcp_url": "https://www.allego.com/platform/integrations/ (Allego 9 \"MCP API Server,\" announced with Allego 9's June 2026 GA; no separate technical-docs URL or endpoint was found)", "mcp_auth": "unknown — vendor material states the MCP server connects to Salesforce Einstein, Microsoft Copilot, and enterprise self-hosted copilots with \"built-in access control enforcement,\" but does not disclose the credential/auth mechanism.", "api_gate": "unknown — no public self-serve pricing; third-party trackers estimate $25-60/user/month, but Allego's own site routes all pricing to a sales contact form, and no separate rate is disclosed for MCP/API access.", "revops_role": "Content-and-deal-intelligence hub positioned to feed AI copilots (Salesforce Einstein, Microsoft Copilot) via its MCP server, rather than a standalone practice tool.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.allego.com/news/allego-9-ai-revenue-enablement-platform/, https://www.allego.com/platform/integrations/, https://checkthat.ai/brands/allego/pricing", "notes": "mcp_status is \"official\" because Allego's own site names and describes the \"Allego MCP API Server\" as a shipped Allego 9 feature — but no dedicated technical-docs URL, GitHub repo, or reachable endpoint was found in this pass; the integrations page is the only citable source. Re-verify with a direct docs URL before using this one on camera.", "mcp_status_bucket": "official", "api_gate_bucket": "unknown", "mcp_urls": [ "https://www.allego.com/platform/integrations/" ], "source_urls": [ "https://www.allego.com/news/allego-9-ai-revenue-enablement-platform/", "https://www.allego.com/platform/integrations/", "https://checkthat.ai/brands/allego/pricing" ], "source_annotations": [], "vendor_domain": "allego.com", "display_name": "Allego", "docs_url": null, "jobs": [ "retrieve-sales-content" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "11-allego", "also_listed_in": [], "source_file": "11-enablement-coaching.md", "source_line": 178, "file_index": 9, "category_num": "11", "category_slug": "enablement-coaching", "category_label": "Enablement & Coaching", "heading": "Allego", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 126 }, { "id": "11-bigtincan-readiness", "slug": "bigtincan-readiness", "normalized_name": "bigtincan readiness", "name": "Bigtincan Readiness (formerly Brainshark)", "vendor_url": "bigtincan.com", "category": "enablement-coaching", "what_it_does": "Revenue enablement platform (Bigtincan acquired Brainshark in 2021 and folded it in as \"Bigtincan Readiness\") spanning content management, on-demand training/coaching, and AI-driven practice.", "ai_features": "Vendor names a full AI suite — RolePlayAI (dynamic practice), CoachingAI, AuthoringAI, Genie Assistant, MeetingsAI, and SearchAI — plus AI text-to-image, text-to-speech, and text generation for content creation. RolePlayAI/CoachingAI are the genuinely conversational-practice pieces; AuthoringAI/SearchAI are closer to content-generation and retrieval automation. No independent technical detail on RolePlayAI's persona dynamics (scripted vs. adaptive) was found to confirm the vendor's claim.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "unknown — no public self-serve pricing found for either the Bigtincan platform generally or Brainshark/Readiness specifically; sales-led motion.", "revops_role": "Combined content-management-plus-practice enablement suite; Brainshark's legacy strength (video-based pitch practice/coaching) is now one module inside the broader Bigtincan platform.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.bigtincan.com/pricing/, https://www.g2.com/products/bigtincan-readiness-formerly-brainshark/reviews, https://tomba.io/blog/bigtincan-brainshark-pricing-reviews-pros-and-cons", "notes": "No MCP server found on GitHub, mcp.so, glama.ai, or pulsemcp.com. Brainshark is not sold as a separate product anymore — it is the \"Readiness\" module of Bigtincan since the 2021 acquisition, so it is covered as one entry rather than two.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.bigtincan.com/pricing/", "https://www.g2.com/products/bigtincan-readiness-formerly-brainshark/reviews", "https://tomba.io/blog/bigtincan-brainshark-pricing-reviews-pros-and-cons" ], "source_annotations": [], "vendor_domain": "bigtincan.com", "display_name": "Bigtincan Readiness (formerly Brainshark)", "docs_url": null, "jobs": [ "retrieve-sales-content", "score-rep-performance", "run-sales-roleplay-practice" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "11-bigtincan-readiness", "also_listed_in": [], "source_file": "11-enablement-coaching.md", "source_line": 197, "file_index": 10, "category_num": "11", "category_slug": "enablement-coaching", "category_label": "Enablement & Coaching", "heading": "Bigtincan Readiness (formerly Brainshark)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 236 }, { "id": "11-continu", "slug": "continu", "normalized_name": "continu", "name": "Continu", "vendor_url": "continu.com", "category": "enablement-coaching", "what_it_does": "AI-powered enterprise learning platform for delivering, tracking, and measuring training content to employees, customers, and partners.", "ai_features": "\"Eddy\" AI learning agent answers training questions conversationally inside Slack/Teams/SMS without switching platforms; AI-assisted content authoring (live previews, smart segmentation) and AI-powered analytics tying learning activity to business outcomes. Retrieval/generation over the org's own content library — not conversational buyer-roleplay simulation.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "unknown — vendor site links to a pricing page but discloses no tiers or numbers publicly; no mention of an API or developer documentation found on the marketing site.", "revops_role": "General-purpose corporate LMS that can serve as the enablement/onboarding backbone; less sales-specific than Mindtickle/WorkRamp.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://continu.com", "notes": "No MCP server found on GitHub, mcp.so, glama.ai, or pulsemcp.com. Thinnest public developer footprint of any tool in this file — no API/docs page surfaced at all in this research pass; worth a direct account check before citing further.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://continu.com" ], "source_annotations": [], "vendor_domain": "continu.com", "display_name": "Continu", "docs_url": null, "jobs": [], "jobs_tagged_by": null, "jobs_tagged_on": null, "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "11-continu", "also_listed_in": [], "source_file": "11-enablement-coaching.md", "source_line": 159, "file_index": 8, "category_num": "11", "category_slug": "enablement-coaching", "category_label": "Enablement & Coaching", "heading": "Continu", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 241 }, { "id": "11-dialworks", "slug": "dialworks", "normalized_name": "dialworks", "name": "Dialworks", "vendor_url": "dialworks.io", "category": "enablement-coaching", "what_it_does": "Sales and support training platform running mock calls, simulated training scenarios, AI call assessment, and analytics/reporting for rep readiness.", "ai_features": "AI-driven mock-call assessment and simulated training scenarios are the core product per vendor material; the underlying model mechanics (dynamic persona vs. scripted branching) were not independently confirmed in sources reviewed — treat as vendor-stated pending deeper technical documentation.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "unknown — vendor offers a 30-day free trial with $3,000 in credits and no credit card required (self-serve-friendly), but sources point custom/large-team pricing to a direct sales contact, so full API-tier gating could not be confirmed.", "revops_role": "Lower-friction, trial-accessible entrant in the practice/roleplay category, positioned by third-party comparison sites as the \"transparent pricing, rapid deployment\" option.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://dialworks.io/pricing, https://www.xpay.sh/saas-pricing/dialworks-io/, https://dialfyne.com/blog/ai-sales-roleplay-platform-comparison-2026", "notes": "No MCP server found on GitHub, mcp.so, glama.ai, or pulsemcp.com. dialworks.io/pricing returned a TLS certificate error on direct fetch during this pass — pricing facts here are drawn from third-party trackers (xpay.sh) rather than the vendor page directly; re-verify by hand.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://dialworks.io/pricing", "https://www.xpay.sh/saas-pricing/dialworks-io/", "https://dialfyne.com/blog/ai-sales-roleplay-platform-comparison-2026" ], "source_annotations": [], "vendor_domain": "dialworks.io", "display_name": "Dialworks", "docs_url": null, "jobs": [ "score-rep-performance", "run-sales-roleplay-practice" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "11-dialworks", "also_listed_in": [], "source_file": "11-enablement-coaching.md", "source_line": 121, "file_index": 6, "category_num": "11", "category_slug": "enablement-coaching", "category_label": "Enablement & Coaching", "heading": "Dialworks", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 243 }, { "id": "11-hyperbound", "slug": "hyperbound", "normalized_name": "hyperbound", "name": "Hyperbound", "vendor_url": "hyperbound.ai", "category": "enablement-coaching", "what_it_does": "AI sales roleplay and \"revenue activation\" platform that turns an ICP description into an interactive AI buyer in minutes, covering cold calls, discovery, demos, and post-sale conversations, with call scoring against custom scorecards.", "ai_features": "Genuinely AI: AI buyers built from 2M+ hours of real B2B sales conversation data hold dynamic, unscripted conversations; automatic scoring of both practice and (via Gong/Salesloft/Chorus integration) real calls against a custom methodology scorecard. Gamification (leaderboards, certification) is plain automation layered on top of the AI core.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "unknown — priced per user across separate \"Practice\" and \"Perform\" licenses with volume/multi-year discounts; no public self-serve number found, and enterprise plans add SSO plus dedicated support, suggesting a sales-led motion.", "revops_role": "Practice and live-call scoring layer that integrates into an existing conversation-intelligence stack (Gong, Salesloft, Chorus) rather than replacing it.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.hyperbound.ai/product/ai-sales-roleplays, https://www.hyperbound.ai/pricing, https://www.hyperbound.ai/uses/ai-cold-call-practice, https://ycombinator.com/companies/hyperbound", "notes": "Listed on the Zoom App Marketplace, Microsoft AppSource, and Salesforce AppExchange as an app/integration — those are marketplace listings, not MCP servers. No MCP server found on GitHub, mcp.so, glama.ai, or pulsemcp.com.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.hyperbound.ai/product/ai-sales-roleplays", "https://www.hyperbound.ai/pricing", "https://www.hyperbound.ai/uses/ai-cold-call-practice", "https://ycombinator.com/companies/hyperbound" ], "source_annotations": [], "vendor_domain": "hyperbound.ai", "display_name": "Hyperbound", "docs_url": null, "jobs": [ "score-rep-performance", "run-sales-roleplay-practice" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "11-hyperbound", "also_listed_in": [], "source_file": "11-enablement-coaching.md", "source_line": 64, "file_index": 3, "category_num": "11", "category_slug": "enablement-coaching", "category_label": "Enablement & Coaching", "heading": "Hyperbound", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 252 }, { "id": "11-lavender", "slug": "lavender", "normalized_name": "lavender", "name": "Lavender", "vendor_url": "lavender.ai", "category": "enablement-coaching", "what_it_does": "A Chrome extension and browser sidebar that sits inside Gmail, Outlook, and sales engagement tools and scores a rep's email draft 1-100 in real time while suggesting rewrites, with a team dashboard that turns those scores into coaching data.", "ai_features": "Genuinely model-driven in part - the vendor describes the scoring and rewrite suggestions as running on \"Open AI systems, self-hosted fine-tuned large language models, and LLMs powered by billions of custom data points,\" plus an AI Email Writer and personalization assistant that pulls prospect context. Vendor-stated, not independently verified. The scoring rubric itself (length, reading level, question placement, tone, mobile-friendliness) reads closer to a heuristic checklist than a model output. A separate 2026 product, Ora, is an autonomous agent that researches prospects and writes and sends cold email; it is a different SKU, not part of the Email Coach.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "unknown - there is no docs.lavender.ai, no developer or API page, and no API reference on lavender.ai. APITracker's Lavender profile shows dashes for \"Developer docs,\" \"API Reference,\" and \"Authentication.\" Lavender's capability is reachable programmatically only as a third-party integration, notably Clay's native \"Rate Your Emails with Lavender\" enrichment action, which is billed in Clay credits and is not a Lavender-issued API key. Recorded as unknown rather than none, because the absence of a public docs page is not proof that no partner API exists.", "revops_role": "Coaching and quality-control layer on top of whatever sending tool the team already uses; it does not own the sequence, the inbox, or the send.", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://www.lavender.ai/, https://www.lavender.ai/coach, https://www.lavender.ai/paid-ai-email-coach, https://lavender.ai/ora, https://apitracker.io/a/trylavender, https://www.clay.com/integrations/action/rate-your-emails-lavender, https://www.pulsemcp.com/servers?q=lavender, https://glama.ai/mcp/servers?query=lavender", "notes": "Added 2026-08-25 to close a known directory gap (Lavender was missing entirely). Pricing from the vendor's own page, annual billing: Basic free (5 emails/month analyzed, 5 personalized, Gmail and Outlook 365), Starter $27/mo, Individual Pro $45/mo (adds integrations), Team $89/seat/mo (adds the Coaching Dashboard, aggregated email analytics, and human-led coaching). Monthly billing is $29 / $49 / $99. Free for students, jobseekers, and bootstrapped founders. Ora is priced separately, free to build an agent then roughly $500/agent/month at launch per third-party trackers, not confirmed on the vendor site. MCP search was negative across PulseMCP (0 results), Glama (0 results), GitHub-scoped search, and general web search; Lavender's own site has no MCP mention. Listed integrations: Gmail, Outlook, Outreach, Salesloft, HubSpot, Apollo, Groove, Gong. CATEGORY CALL: filed here rather than in 02-engagement-outbound because the paid product is a scoring and critique layer around a human writing in a tool someone else owns, and its team tier is literally a coaching dashboard plus human-led coaching. Ora is the piece that would belong in 02 or 04 and deserves its own entry there if it grows.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.lavender.ai/", "https://www.lavender.ai/coach", "https://www.lavender.ai/paid-ai-email-coach", "https://lavender.ai/ora", "https://apitracker.io/a/trylavender", "https://www.clay.com/integrations/action/rate-your-emails-lavender", "https://www.pulsemcp.com/servers?q=lavender", "https://glama.ai/mcp/servers?query=lavender" ], "source_annotations": [], "vendor_domain": "lavender.ai", "display_name": "Lavender", "docs_url": "https://www.lavender.ai/coach (no developer or API documentation exists; the only support resource is the vendor Knowledge Library)", "jobs": [ "draft-personalized-outreach", "score-rep-performance" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "11-lavender", "also_listed_in": [], "source_file": "11-enablement-coaching.md", "source_line": 254, "file_index": 13, "category_num": "11", "category_slug": "enablement-coaching", "category_label": "Enablement & Coaching", "heading": "Lavender", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 259 }, { "id": "11-luster", "slug": "luster", "normalized_name": "luster", "name": "Luster", "vendor_url": "luster.ai", "category": "enablement-coaching", "what_it_does": "\"Predictive Enablement\" platform combining AI cold-call/objection-handling roleplay drills with live-call signal analysis to flag rep skill gaps before they show up in real deals.", "ai_features": "Genuinely AI: AI-generated coaching feedback delivered after every practice session and real call, described as personalized and consistent with the org's sales methodology; roleplay scenarios simulate real buyer interactions without a manager present. The \"predictive\" skill-gap forecasting layer that connects roleplay performance to live-call signals is a vendor differentiator claim that could not be independently verified.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "unknown — no pricing or tier information published at all; site routes all interest to \"Get Started\"/\"Get in Touch\" contact forms.", "revops_role": "Practice-plus-prediction layer meant to sit between roleplay drills and live-call intelligence, flagging which reps need targeted coaching before a real deal call.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.luster.ai/ai-coaching, https://www.luster.ai/proactive-practive-and-roleplay, https://www.exec.com/learn/luster-ai-vs-fullyramped", "notes": "No MCP server found on GitHub, mcp.so, glama.ai, or pulsemcp.com. No public pricing at all — the least commercially transparent tool in this file's roleplay cluster.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.luster.ai/ai-coaching", "https://www.luster.ai/proactive-practive-and-roleplay", "https://www.exec.com/learn/luster-ai-vs-fullyramped" ], "source_annotations": [], "vendor_domain": "luster.ai", "display_name": "Luster", "docs_url": null, "jobs": [ "score-rep-performance", "run-sales-roleplay-practice" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "11-luster", "also_listed_in": [], "source_file": "11-enablement-coaching.md", "source_line": 83, "file_index": 4, "category_num": "11", "category_slug": "enablement-coaching", "category_label": "Enablement & Coaching", "heading": "Luster", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 261 }, { "id": "11-mindtickle", "slug": "mindtickle", "normalized_name": "mindtickle", "name": "Mindtickle", "vendor_url": "mindtickle.com", "category": "enablement-coaching", "what_it_does": "Sales enablement and readiness platform for onboarding, content, and skill certification, with a dedicated AI Sales Role Play module for live conversation practice.", "ai_features": "Genuinely AI: AI Sales Role Play uses generative AI models to run dynamic (not scripted) buyer-persona conversations that push back and ask follow-up questions, built from natural-language prompts and uploaded objections, with AI grading/feedback. The broader content-management, certification, and course-authoring core of the platform is traditional LMS/CMS functionality with AI-assisted search and recommendations layered on top — not itself conversational AI.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "unknown — no public self-serve pricing; API access requires emailing an admin request per Mindtickle's own developer docs, and third-party trackers describe the product as sold via custom quote only. Enterprise-leaning inferred but not confirmed as fully enterprise-only.", "revops_role": "Enablement/onboarding hub with a genuine AI roleplay module; typically the training layer feeding readiness/certification data into a CRM.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.mindtickle.com/platform/ai-sales-role-play/, https://apitracker.io/a/mindtickle, https://www.vendr.com/marketplace/mindtickle, https://www.apirefs.com/apps/mindtickle/integrations, https://aitoolsbakery.com/blog/mindtickle-pricing/", "notes": "Searched GitHub, mcp.so, glama.ai, and pulsemcp.com — no Mindtickle MCP server found (glama.ai search for \"mindtickle\" returned zero matches). getguru.com published a speculative \"What Is MindTickle MCP?\" explainer that explicitly states no confirmed MCP integration exists — do not cite that page as evidence of one.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.mindtickle.com/platform/ai-sales-role-play/", "https://apitracker.io/a/mindtickle", "https://www.vendr.com/marketplace/mindtickle", "https://www.apirefs.com/apps/mindtickle/integrations", "https://aitoolsbakery.com/blog/mindtickle-pricing/" ], "source_annotations": [], "vendor_domain": "mindtickle.com", "display_name": "Mindtickle", "docs_url": null, "jobs": [ "retrieve-sales-content", "score-rep-performance", "run-sales-roleplay-practice" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "11-mindtickle", "also_listed_in": [], "source_file": "11-enablement-coaching.md", "source_line": 7, "file_index": 0, "category_num": "11", "category_slug": "enablement-coaching", "category_label": "Enablement & Coaching", "heading": "Mindtickle", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 265 }, { "id": "11-quantified", "slug": "quantified", "normalized_name": "quantified", "name": "Quantified", "vendor_url": "quantified.ai", "category": "enablement-coaching", "what_it_does": "AI roleplay and coaching platform aimed at regulated-industry (life sciences, pharma, financial services) sales teams, using photorealistic avatar personas for compliance-scored practice conversations.", "ai_features": "Genuinely AI: sub-second-latency conversational AI personas that adapt tone/pace/objections mid-session, avatar computer-vision that reacts to visual aids and screen shares, and scoring across 1,400+ behavioral dimensions anchored to an MLR-cleared messaging library. A deep, purpose-built AI product, not bolted-on.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "unknown — no self-serve pricing published; third-party market surveys place dedicated roleplay tools generally at $70-180/rep/month with Quantified positioned at the higher end, and describe deals as five-to-six-figure annual contracts — analyst estimates, not vendor-confirmed numbers.", "revops_role": "Compliance-grade practice/certification layer for regulated sales orgs — narrower niche than Second Nature/Hyperbound but deeper on realism and auditability.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.quantified.ai/platform/ai-roleplay, https://www.quantified.ai/, https://softwarefinder.com/sales-tools/quantified-ai", "notes": "No MCP server found on GitHub, mcp.so, glama.ai, or pulsemcp.com. Positioned explicitly for Fortune 500 regulated industries rather than SMB/mid-market — the most enterprise-narrow tool in this file.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.quantified.ai/platform/ai-roleplay", "https://www.quantified.ai/", "https://softwarefinder.com/sales-tools/quantified-ai" ], "source_annotations": [], "vendor_domain": "quantified.ai", "display_name": "Quantified", "docs_url": null, "jobs": [ "score-rep-performance", "run-sales-roleplay-practice" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "11-quantified", "also_listed_in": [], "source_file": "11-enablement-coaching.md", "source_line": 102, "file_index": 5, "category_num": "11", "category_slug": "enablement-coaching", "category_label": "Enablement & Coaching", "heading": "Quantified", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 271 }, { "id": "11-second-nature", "slug": "second-nature", "normalized_name": "second nature", "name": "Second Nature", "vendor_url": "secondnature.ai", "category": "enablement-coaching", "what_it_does": "AI roleplay platform for enterprise sales teams that generates AI buyer personas from a text description or uploaded content and runs 1:1, group, or chat-based practice conversations, then scores and gives feedback.", "ai_features": "Genuinely AI: AI builds full roleplay scenarios (personas + evaluation rubric) from freeform text prompts, drives dynamic voice conversations with simulated buyer personalities across 30+ languages, and auto-scores/coaches after each session. This is the core product, not a bolt-on.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "unknown — no public self-serve pricing; sold via custom quote/demo. Third-party pricing trackers estimate deals starting around $20K/year with per-seat costs roughly $30-40/month, but these are unofficial estimates, not vendor-confirmed figures.", "revops_role": "Practice/certification layer for reps, typically sitting alongside a call-intelligence tool (Gong/Chorus) rather than replacing it — practice environment vs. live-call analysis.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://secondnature.ai/product/, https://secondnature.ai/ai-driven-sales-ai-role-play-in-sales-training-and-coaching/, https://deelan.ai/resources/second-nature-pricing-2026, https://www.alpharun.com/blog/second-nature-ai-pricing", "notes": "No MCP server found on GitHub, mcp.so, glama.ai, or pulsemcp.com. Pricing figures in sources are third-party estimates (deelan.ai, alpharun.com), not vendor-published numbers.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://secondnature.ai/product/", "https://secondnature.ai/ai-driven-sales-ai-role-play-in-sales-training-and-coaching/", "https://deelan.ai/resources/second-nature-pricing-2026", "https://www.alpharun.com/blog/second-nature-ai-pricing" ], "source_annotations": [], "vendor_domain": "secondnature.ai", "display_name": "Second Nature", "docs_url": null, "jobs": [ "score-rep-performance", "run-sales-roleplay-practice" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "11-second-nature", "also_listed_in": [], "source_file": "11-enablement-coaching.md", "source_line": 45, "file_index": 2, "category_num": "11", "category_slug": "enablement-coaching", "category_label": "Enablement & Coaching", "heading": "Second Nature", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 279 }, { "id": "11-showpad", "slug": "showpad", "normalized_name": "showpad", "name": "Showpad", "vendor_url": "showpad.com", "category": "enablement-coaching", "what_it_does": "Revenue effectiveness platform combining sales content management, buyer engagement tracking, and AI-driven coaching/roleplay under a unified \"Showpad Genie\" AI layer.", "ai_features": "Genie Assistant (in-platform Q&A), Roleplay AI (practice conversations for seller training), Authoring AI (content-creation assist), and a \"Field Seller Agent\" — vendor describes Genie as \"the platform's AI core that learns how your company wins,\" but no independent technical detail confirms whether Roleplay AI runs dynamic buyer personas (like Second Nature/Hyperbound) or more scripted practice flows.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "unknown — Showpad maintains a public Developer Portal (developer.showpad.com), which signals real API access exists, but no pricing tier or self-serve gating information was found; site pricing routes to a demo request only.", "revops_role": "Content-plus-coaching hub with a documented developer portal, positioned similarly to Allego/Bigtincan/Highspot as an enablement platform layering AI features onto a content-management core.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.showpad.com, https://developer.showpad.com", "notes": "No MCP server found at developer.showpad.com or on GitHub, mcp.so, glama.ai, or pulsemcp.com — the developer portal exists but nothing MCP-specific was found there in this pass. developer.showpad.com returned an HTTP 403 to an automated fetch during this research pass; worth checking by hand directly in a browser.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.showpad.com", "https://developer.showpad.com" ], "source_annotations": [], "vendor_domain": "showpad.com", "display_name": "Showpad", "docs_url": null, "jobs": [ "retrieve-sales-content", "score-rep-performance", "run-sales-roleplay-practice" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "11-showpad", "also_listed_in": [], "source_file": "11-enablement-coaching.md", "source_line": 216, "file_index": 11, "category_num": "11", "category_slug": "enablement-coaching", "category_label": "Enablement & Coaching", "heading": "Showpad", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 280 }, { "id": "11-spekit", "slug": "spekit", "normalized_name": "spekit", "name": "Spekit", "vendor_url": "spekit.com", "category": "enablement-coaching", "what_it_does": "In-app digital adoption and sales-enablement platform that surfaces contextual \"Speks\" (bite-sized content, process guidance, messaging) directly inside the tools reps already use (CRM, email, etc.).", "ai_features": "Spekit AI / \"AI Sidekick\" recommends relevant content based on rep role, territory, deal, and past engagement, and answers rep questions in-line — a recommendation/retrieval layer over Spekit's own content library, not a conversational roleplay or buyer-simulation product. No dynamic AI-persona coaching found.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "unknown — third-party tier breakdowns (GetApp, Apty) place API access at the Enterprise tier only; Starter/Professional tiers were not confirmed to include it, and pricing overall is negotiated per-account with no public numbers.", "revops_role": "In-workflow enablement/adoption layer that pushes content and process guidance into the CRM and other daily tools, rather than a standalone LMS.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.getapp.com/sales-software/a/spekit/, https://www.vendr.com/marketplace/spekit, https://apty.ai/blog/spekit-pricing/, https://www.g2.com/products/spekit/pricing", "notes": "No MCP server found on GitHub, mcp.so, glama.ai, or pulsemcp.com. getguru.com's \"What Is Spekit MCP?\" page is speculative explainer content, not evidence of a real integration.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.getapp.com/sales-software/a/spekit/", "https://www.vendr.com/marketplace/spekit", "https://apty.ai/blog/spekit-pricing/", "https://www.g2.com/products/spekit/pricing" ], "source_annotations": [], "vendor_domain": "spekit.com", "display_name": "Spekit", "docs_url": null, "jobs": [ "retrieve-sales-content" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "11-spekit", "also_listed_in": [], "source_file": "11-enablement-coaching.md", "source_line": 26, "file_index": 1, "category_num": "11", "category_slug": "enablement-coaching", "category_label": "Enablement & Coaching", "heading": "Spekit", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 281 }, { "id": "11-trainual", "slug": "trainual", "normalized_name": "trainual", "name": "Trainual", "vendor_url": "trainual.com", "category": "enablement-coaching", "what_it_does": "SOP and process-documentation platform for onboarding and training, positioned more broadly at operations/HR than sales-specific enablement, with AI-assisted SOP drafting.", "ai_features": "AI SOP generator drafts a first-pass standard operating procedure from a manager's plain-language description; AI-assisted documentation and AI knowledge search are included across paid tiers. This is generative content-drafting and retrieval AI over the org's own SOP library — not conversational roleplay or buyer simulation, and not sales-specific.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "paid — Trainual's Grow (top/custom-priced) tier explicitly includes API access and custom integration support; some third-party breakdowns describe the mid Scale tier ($299/mo) as including API access too, so the exact tier boundary should be reconfirmed directly on trainual.com/pricing.", "revops_role": "General SOP/onboarding documentation tool that sales orgs use for process content rather than a purpose-built sales-enablement or roleplay platform — included here as an adjacent, AI-relevant onboarding tool per the research brief.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://trainual.com/pricing, https://operandio.com/trainual-pricing/, https://github.com/trainual/tiptap-collaboration-mcp", "notes": "A public GitHub repo at github.com/trainual/tiptap-collaboration-mcp is real and maintained by Trainual's own GitHub org, but per its README it is an MCP server for Tiptap's collaboration/document service (Trainual's underlying editor infrastructure) — it does not expose Trainual's own product/training data. Do not cite it as a \"Trainual product MCP\"; mcp_status is none-found for Trainual-the-product on that basis.", "mcp_status_bucket": "none-found", "api_gate_bucket": "paid", "mcp_urls": [], "source_urls": [ "https://trainual.com/pricing", "https://operandio.com/trainual-pricing/", "https://github.com/trainual/tiptap-collaboration-mcp" ], "source_annotations": [], "vendor_domain": "trainual.com", "display_name": "Trainual", "docs_url": null, "jobs": [], "jobs_tagged_by": null, "jobs_tagged_on": null, "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/trainual/tiptap-collaboration-mcp" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "11-trainual", "also_listed_in": [], "source_file": "11-enablement-coaching.md", "source_line": 235, "file_index": 12, "category_num": "11", "category_slug": "enablement-coaching", "category_label": "Enablement & Coaching", "heading": "Trainual", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 209 }, { "id": "11-workramp", "slug": "workramp", "normalized_name": "workramp", "name": "WorkRamp", "vendor_url": "workramp.com", "category": "enablement-coaching", "what_it_does": "Corporate learning and training platform (\"Business Academy\") for employee onboarding, sales enablement, and customer education content, with AI-assisted content creation.", "ai_features": "\"AI Assist\" generates and personalizes learning content and recommendations — content-generation/recommendation AI layered on a traditional LMS core, not conversational roleplay or buyer simulation.", "mcp_status": "community", "mcp_url": "https://zapier.com/mcp/workramp ; https://viasocket.com/mcp/workramp", "mcp_auth": "Rides Zapier's/viaSocket's own hosted-connector auth (their MCP gateway at mcp.zapier.com), not a WorkRamp-issued credential.", "api_gate": "unknown — no public price list; quote-based sales model with third-party trackers estimating Professional-tier pricing around $20-30K/year and Enterprise around $40K+/year, with API usage cited as a pricing variable.", "revops_role": "Onboarding/enablement LMS layer, reachable by AI agents only through third-party automation platforms (Zapier, viaSocket) rather than a vendor-hosted MCP server.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://zapier.com/mcp/workramp, https://viasocket.com/mcp/workramp, https://www.vendr.com/marketplace/workramp, https://getcor.ai/blog/reviews/workramp-pricing", "notes": "Both MCP entries are third-party hosted connectors (Zapier and viaSocket), not a WorkRamp-published server — hence community, not official. Exposes 11 triggers plus create-assignment/onboard-user/update-profile write actions per Zapier's documented action list.", "mcp_status_bucket": "community", "api_gate_bucket": "unknown", "mcp_urls": [ "https://zapier.com/mcp/workramp", "https://viasocket.com/mcp/workramp" ], "source_urls": [ "https://zapier.com/mcp/workramp", "https://viasocket.com/mcp/workramp", "https://www.vendr.com/marketplace/workramp", "https://getcor.ai/blog/reviews/workramp-pricing" ], "source_annotations": [], "vendor_domain": "workramp.com", "display_name": "WorkRamp", "docs_url": null, "jobs": [], "jobs_tagged_by": null, "jobs_tagged_on": null, "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "11-workramp", "also_listed_in": [], "source_file": "11-enablement-coaching.md", "source_line": 140, "file_index": 7, "category_num": "11", "category_slug": "enablement-coaching", "category_label": "Enablement & Coaching", "heading": "WorkRamp", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 164 }, { "id": "12-anaplan", "slug": "anaplan", "normalized_name": "anaplan", "name": "Anaplan (PlanIQ / Anaplan Forecaster)", "vendor_url": "anaplan.com", "category": "forecasting-revenue", "what_it_does": "Connected-planning platform whose AI forecasting engine — originally branded PlanIQ, now superseded by \"Anaplan Forecaster\" (launched October 2025) — generates time-series demand/sales/revenue forecasts that feed directly into a customer's broader Anaplan models.", "ai_features": "Genuinely ML-based: the vendor names specific algorithms (DeepAR+, Prophet) combining statistical and machine-learning techniques on internal plus enriched external data to uncover patterns and correlations; Anaplan Forecaster is described as the next generation of PlanIQ with expanded ML algorithms and improved explainability. Separately, \"CoModeler\" (natural-language model building) and role-based AI agents are LLM-workflow features, not the forecasting engine itself.", "mcp_status": "official", "mcp_url": "https://www.anaplan.com/platform/intelligence/ — the \"Anaplan AI Gateway\" feature page states: \"Securely connect any LLM interface or enterprise agent to Anaplan through a governed MCP connection, with controls for permissions, auditability, consumption management, and rate limiting.\" No separate dedicated MCP docs/repo page was found beyond this feature description.", "mcp_auth": "unknown — described only as a \"governed MCP connection\" with permission/audit controls; the specific credential mechanism (API key vs. OAuth) is not disclosed on the page found.", "api_gate": "unknown/enterprise-leaning. No pricing or plan-gating information is disclosed on the pages reviewed; Anaplan is sold via enterprise contract in every other context researched for this directory, and nothing found here contradicts that pattern.", "revops_role": "Enterprise connected-planning platform where sales/demand forecasting is one module among many (finance, supply chain, workforce); the AI Gateway/MCP layer is Anaplan's play to make that planning data agent-accessible.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.anaplan.com/platform/anaplan-planiq/, https://www.anaplan.com/platform/intelligence/, https://help.anaplan.com/drive-intelligent-forecasting-with-planiq-7333fab4-7118-45d9-8504-4137bc114e04, https://www.globenewswire.com/news-release/2025/12/09/3202449/0/en/Anaplan-Introduces-Role-Based-AI-Agents-to-Advance-Industry-Leading-Enterprise-Scenario-Planning-and-Analysis-Platform.html, https://www.pulsemcp.com/servers?q=anaplan", "notes": "Marked official rather than none-found because Anaplan's own product page explicitly names MCP with a linkable URL, satisfying the schema's \"URL required\" law — the same judgment call made for the Default entry in 06-revops-infra.md — even though no dedicated MCP docs/repo page exists yet. Re-check as this matures; it currently reads as an early/generic capability statement rather than a documented integration.", "mcp_status_bucket": "official", "api_gate_bucket": "unknown", "mcp_urls": [ "https://www.anaplan.com/platform/intelligence/" ], "source_urls": [ "https://www.anaplan.com/platform/anaplan-planiq/", "https://www.anaplan.com/platform/intelligence/", "https://help.anaplan.com/drive-intelligent-forecasting-with-planiq-7333fab4-7118-45d9-8504-4137bc114e04", "https://www.globenewswire.com/news-release/2025/12/09/3202449/0/en/Anaplan-Introduces-Role-Based-AI-Agents-to-Advance-Industry-Leading-Enterprise-Scenario-Planning-and-Analysis-Platform.html", "https://www.pulsemcp.com/servers?q=anaplan" ], "source_annotations": [], "vendor_domain": "anaplan.com", "display_name": "Anaplan (PlanIQ / Anaplan Forecaster)", "docs_url": null, "jobs": [ "read-pipeline-forecast", "model-revenue-plan" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "12-anaplan", "also_listed_in": [], "source_file": "12-forecasting-revenue.md", "source_line": 283, "file_index": 14, "category_num": "12", "category_slug": "forecasting-revenue", "category_label": "Forecasting & Revenue", "heading": "Anaplan", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 127 }, { "id": "12-aviso", "slug": "aviso", "normalized_name": "aviso", "name": "Aviso", "vendor_url": "aviso.com (aviso.ai 302-redirects to a domain-marketplace listing, not the company)", "category": "forecasting-revenue", "what_it_does": "AI revenue operations platform combining pipeline forecasting, conversation/deal intelligence, and agentic workflow automation for sales, RevOps, and customer success teams.", "ai_features": "Vendor claims \"advanced forecasting models\" using a \"time-series database\" and deal win-probability scoring derived from call/email signals — plausible ML claims but no disclosed methodology or benchmark, and includes an unverified marketing claim of \"nearly 100% accurate\" forecasting. Separately markets \"Real-Time AI Avatars\" and 30+ agentic workflows via a no-code \"GTM Agent Studio\" — LLM-driven workflow orchestration, not predictive ML, though vendor copy blends the two under \"agentic AI.\"", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "unknown. No developer/API documentation was found in site navigation, and third-party sources disagree on whether a public API exists at all. Pricing is entirely quote/demo-gated — no self-serve tier or published prices.", "revops_role": "Positions itself as a full \"revenue operating system\" — forecasting plus conversation intelligence plus CS renewal signals plus an AI SDR/agent layer — broader in scope than a pure forecasting point tool.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://aviso.ai, https://www.atom.com/name/Aviso.ai, https://www.aviso.com, https://www.aviso.com/pricing", "notes": "DOMAIN FLAG — aviso.ai does not belong to the company; it 302-redirects to a domain marketplace/broker listing page. The live product is at aviso.com. Same \"wrong domain in circulation\" pattern flagged for Clearbit/Leadfeeder elsewhere in this directory.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://aviso.ai", "https://www.atom.com/name/Aviso.ai", "https://www.aviso.com", "https://www.aviso.com/pricing" ], "source_annotations": [], "vendor_domain": "aviso.com", "display_name": "Aviso", "docs_url": null, "jobs": [ "extract-deal-signals-from-calls", "run-automation-workflow", "read-pipeline-forecast" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "12-aviso", "also_listed_in": [], "source_file": "12-forecasting-revenue.md", "source_line": 36, "file_index": 1, "category_num": "12", "category_slug": "forecasting-revenue", "category_label": "Forecasting & Revenue", "heading": "Aviso", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 235 }, { "id": "12-boostup", "slug": "boostup", "normalized_name": "boostup", "name": "BoostUp (rebranded: Terret)", "vendor_url": "terret.ai (boostup.ai 301-redirects here)", "category": "forecasting-revenue", "what_it_does": "AI revenue-intelligence and pipeline-forecasting platform that ingests CRM, email, call, and calendar data to produce forecasts and deal-risk scores, plus (post-rebrand) automated GTM workflow agents.", "ai_features": "Vendor claims a proprietary \"Machine Forecast\" model built on a \"Revenue Graph\" with specific accuracy figures (e.g. 92.4% current-quarter accuracy vs. 84.1% prior) — vendor-published, no independent methodology disclosed. The newer \"AI Revenue Fleet\" agents (Pipeline Builder, Sales Process Agent) are largely LLM-driven workflow automation (finding contacts, drafting outreach), not predictive ML.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "unknown/enterprise-leaning. No public API documentation was found; the pricing page is a demo-request form with no self-serve tier or published pricing, and integrations run through Zapier/native connectors rather than a documented public REST API.", "revops_role": "Forecasting/pipeline-inspection layer sitting on top of Salesforce/HubSpot, increasingly repositioning (as Terret) as a broader GTM agent-automation layer rather than a pure forecasting point tool.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.prnewswire.com/news-releases/boostup-rebrands-as-terret-launches-new-fleet-of-ai-revenue-agents-to-supercharge-gtm-teams-302550934.html, https://terret.ai, https://terret.ai/pricing, https://terret.ai/products/machine-forecasting, https://softwarefinder.com/sales-tools/boostup-ai", "notes": "STATUS FLAG — BoostUp rebranded to Terret in September 2025; boostup.ai now 301-redirects to terret.ai, though the app backend still runs at app.boostup.ai. Anyone still searching \"BoostUp\" should know the current live brand is Terret.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.prnewswire.com/news-releases/boostup-rebrands-as-terret-launches-new-fleet-of-ai-revenue-agents-to-supercharge-gtm-teams-302550934.html", "https://terret.ai", "https://terret.ai/pricing", "https://terret.ai/products/machine-forecasting", "https://softwarefinder.com/sales-tools/boostup-ai" ], "source_annotations": [], "vendor_domain": "terret.ai", "display_name": "BoostUp (rebranded: Terret)", "docs_url": null, "jobs": [ "draft-personalized-outreach", "extract-deal-signals-from-calls", "read-pipeline-forecast" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "12-boostup", "also_listed_in": [], "source_file": "12-forecasting-revenue.md", "source_line": 17, "file_index": 0, "category_num": "12", "category_slug": "forecasting-revenue", "category_label": "Forecasting & Revenue", "heading": "BoostUp (rebranded: Terret)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 237 }, { "id": "12-cube-software", "slug": "cube-software", "normalized_name": "cube software", "name": "Cube Software", "vendor_url": "cubesoftware.com", "category": "forecasting-revenue", "what_it_does": "Spreadsheet-native FP&A planning and reporting platform for finance teams; revenue-scenario modeling is one supported use case rather than a dedicated CRM-native sales-forecasting product.", "ai_features": "Markets an \"Agentic Finance Layer\" and AI agents included on every tier, covering budget narratives, variance/actuals-vs-forecast analysis, and \"three revenue scenarios\" modeling — vendor-described, not independently verified against a specific model architecture.", "mcp_status": "official", "mcp_url": "https://www.cubesoftware.com/mcp ; docs: https://help.cubesoftware.com/hc/en-us/articles/45569561283092-Connect-Cube-to-AI-Apps-via-MCP-Server", "mcp_auth": "OAuth — no manual API key management.", "api_gate": "paid. MCP is included on Silver and Gold tiers (available as a paid add-on on the entry Bronze tier); no free tier or self-serve signup — all pricing is quote-only (\"Get a quote\").", "revops_role": "FP&A-adjacent planning layer, included here (like Vareto) because revenue-scenario modeling is one of its supported use cases, not because it is a CRM-native pipeline-forecasting specialist.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.cubesoftware.com/mcp, https://www.cubesoftware.com/pricing, https://help.cubesoftware.com/hc/en-us/articles/45569561283092-Connect-Cube-to-AI-Apps-via-MCP-Server, https://www.pulsemcp.com/servers?q=cube", "notes": "A separate community MCP server (github.com/isaacwasserman/mcp_cube_server) exists for \"Cube\" the open-source semantic-layer/BI engine (cube.dev) — a different, unrelated product from Cube Software the FP&A vendor. Do not conflate the two when searching \"Cube MCP.\"", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://www.cubesoftware.com/mcp", "https://help.cubesoftware.com/hc/en-us/articles/45569561283092-Connect-Cube-to-AI-Apps-via-MCP-Server" ], "source_urls": [ "https://www.cubesoftware.com/mcp", "https://www.cubesoftware.com/pricing", "https://help.cubesoftware.com/hc/en-us/articles/45569561283092-Connect-Cube-to-AI-Apps-via-MCP-Server", "https://www.pulsemcp.com/servers?q=cube" ], "source_annotations": [], "vendor_domain": "cubesoftware.com", "display_name": "Cube Software", "docs_url": null, "jobs": [ "model-revenue-plan" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "12-cube-software", "also_listed_in": [], "source_file": "12-forecasting-revenue.md", "source_line": 207, "file_index": 10, "category_num": "12", "category_slug": "forecasting-revenue", "category_label": "Forecasting & Revenue", "heading": "Cube Software", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 58 }, { "id": "12-ebsta", "slug": "ebsta", "normalized_name": "ebsta", "name": "Ebsta", "vendor_url": "ebsta.com", "category": "forecasting-revenue", "what_it_does": "Revenue-intelligence add-on for Salesforce/HubSpot that syncs email and calendar activity into the CRM and layers on relationship scoring, conversation capture, and pipeline forecasting.", "ai_features": "Vendor makes strong outcome guarantees (\"guarantees to achieve accurate forecasts to +/-10%,\" quota-attainment improvement within 6 months) but discloses no technical detail on the underlying scoring/forecasting methodology anywhere reviewed — treat as business-outcome marketing claims, not verified ML claims. Core \"Relationship Intelligence\" (activity/email/calendar capture) is workflow automation and data capture, not predictive modeling, despite the \"Intelligence\" branding.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "unknown. No developer/API documentation or self-serve API tier was found anywhere. Product pricing itself runs Relationship Intelligence (~$60/user/mo) and Revenue Intelligence (~$70/user/mo) tiers per third-party aggregators (not confirmed with numeric pricing on the live vendor page), a 14-day free trial requiring a Salesforce/HubSpot connection, and a sales-gated Enterprise tier.", "revops_role": "CRM-data-hygiene plus relationship/forecast layer sitting on top of Salesforce/HubSpot — a lighter-weight add-on rather than a full-stack revenue platform.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.ebsta.com, https://www.ebsta.com/pricing/, https://www.xpay.sh/agent-ready-index/ebsta/", "notes": "A third-party \"Agent-Ready SaaS Index\" (xpay.sh) references an \"MCP Server Card\" score for Ebsta, but this could not be confirmed as evidence of a real MCP server on direct fetch — it reads as a category label in that site's own scoring framework, not a real Ebsta MCP. Logged as none-found per the schema's URL-required law.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.ebsta.com", "https://www.ebsta.com/pricing/", "https://www.xpay.sh/agent-ready-index/ebsta/" ], "source_annotations": [], "vendor_domain": "ebsta.com", "display_name": "Ebsta", "docs_url": null, "jobs": [ "write-crm-records", "read-pipeline-forecast" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "12-ebsta", "also_listed_in": [], "source_file": "12-forecasting-revenue.md", "source_line": 74, "file_index": 3, "category_num": "12", "category_slug": "forecasting-revenue", "category_label": "Forecasting & Revenue", "heading": "Ebsta", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 247 }, { "id": "12-forecastio", "slug": "forecastio", "normalized_name": "forecastio", "name": "Forecastio", "vendor_url": "forecastio.ai", "category": "forecasting-revenue", "what_it_does": "AI sales-forecasting and pipeline-intelligence platform built for HubSpot and Salesforce users, applying machine learning, time-series models, and weighted-pipeline methods to predict a forecast range (best case/commit/worst case) and support what-if scenario modeling.", "ai_features": "Vendor claims \"AI sales forecasting based on machine learning\" targeting \"up to 90-95% forecasting accuracy\" and an \"AI forecast corridor\" predicting ranges from historical deal patterns — vendor-stated accuracy figures, not independently verified.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "paid, and one of the more transparent tools in this file — published flat-rate pricing: Sales Forecasting $249/mo (2 seats + $49/additional seat), Forecasting & Pipeline Intelligence $369/mo (2 seats + $69/additional seat), both billed annually, though \"Talk to Sales\" CTAs sit alongside the listed prices.", "revops_role": "Standalone forecasting/pipeline-intelligence layer sitting on top of HubSpot or Salesforce, positioned as an accuracy upgrade over native CRM forecasting rather than a full RevOps platform.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://forecastio.ai/pricing, https://forecastio.ai/blog/ai-sales-forecasting-explained, https://forecastio.ai/blog/sales-forecasting-software, https://www.pulsemcp.com/servers?q=forecastio", "notes": "No dedicated Forecastio MCP server found. Some secondary sources reference reaching Forecastio \"through Zapier MCP,\" but no specific Zapier-hosted Forecastio connector URL could be confirmed — logged as none-found rather than claiming an unconfirmed indirect path.", "mcp_status_bucket": "none-found", "api_gate_bucket": "paid", "mcp_urls": [], "source_urls": [ "https://forecastio.ai/pricing", "https://forecastio.ai/blog/ai-sales-forecasting-explained", "https://forecastio.ai/blog/sales-forecasting-software", "https://www.pulsemcp.com/servers?q=forecastio" ], "source_annotations": [], "vendor_domain": "forecastio.ai", "display_name": "Forecastio", "docs_url": null, "jobs": [ "read-pipeline-forecast", "model-revenue-plan" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "12-forecastio", "also_listed_in": [], "source_file": "12-forecasting-revenue.md", "source_line": 226, "file_index": 11, "category_num": "12", "category_slug": "forecasting-revenue", "category_label": "Forecasting & Revenue", "heading": "Forecastio", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 191 }, { "id": "12-gong-forecast", "slug": "gong-forecast", "normalized_name": "gong forecast", "name": "Gong Forecast", "vendor_url": "gong.io", "category": "forecasting-revenue", "what_it_does": "A licensed add-on module (separate from the base Gong Foundation license, with a lighter \"Forecast Essentials\" tier bundled into Gong's Deal Execution package) that turns Gong's conversation-intelligence signals into AI deal-likelihood scores, risk indicators, forecast rollups, and forecast-analytics dashboards. See 03-conversation-intel.md for Gong's full platform entry (core product, general MCP server, enterprise-only API gate) — this entry covers only what's forecast-specific.", "ai_features": "AI Deal Likelihood/Revenue Predictor scoring using 300+ engagement/CRM signals; vendor claims \"20% more precision than algorithms based on CRM data\" (vendor-stated, not independently verified) because it draws on Gong's proprietary conversation-intelligence models rather than CRM fields alone. Risk indicators flag patterns like \"buyer gone silent\" or a single-threaded deal.", "mcp_status": "none-found (forecast-specific)", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "enterprise-only, same gate as core Gong (see 03-conversation-intel.md). Gong's own Forecast/pipeline setup docs make no mention of API access for the Forecast module specifically.", "revops_role": "Forecast-rollup and deal-risk layer sitting on top of Gong's core conversation-intelligence product, competing directly with Clari and Kluster.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://help.gong.io/docs/set-up-your-pipeline-view-and-begin-forecasting, https://www.gong.io/platform/revenue-forecasting-software, https://www.gong.io/sales-forecasting-software, https://www.pulsemcp.com/servers?q=gong", "notes": "Checked for a Forecast-specific MCP distinct from Gong's general MCP server — none found. The community Gong MCP servers on PulseMCP (cedricziel/gong-mcp, JustinBeckwith/gongio-mcp, kenazk/gong-mcp) all wrap the general conversation-intelligence API (calls/transcripts); none expose Forecast-module data (deal-likelihood scores, rollups, risk indicators) as distinct tools.", "mcp_status_bucket": "none-found", "api_gate_bucket": "enterprise-only", "mcp_urls": [], "source_urls": [ "https://help.gong.io/docs/set-up-your-pipeline-view-and-begin-forecasting", "https://www.gong.io/platform/revenue-forecasting-software", "https://www.gong.io/sales-forecasting-software", "https://www.pulsemcp.com/servers?q=gong" ], "source_annotations": [], "vendor_domain": "gong.io", "display_name": "Gong Forecast", "docs_url": null, "jobs": [ "extract-deal-signals-from-calls", "read-pipeline-forecast" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "12-gong-forecast", "also_listed_in": [], "source_file": "12-forecasting-revenue.md", "source_line": 131, "file_index": 6, "category_num": "12", "category_slug": "forecasting-revenue", "category_label": "Forecasting & Revenue", "heading": "Gong Forecast", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 219 }, { "id": "12-hubspot", "slug": "hubspot", "normalized_name": "hubspot", "name": "HubSpot (AI Forecasting)", "vendor_url": "hubspot.com", "category": "forecasting-revenue", "what_it_does": "HubSpot's forecasting tool inside Sales Hub/Service Hub, turning pipeline data into revenue predictions via weighted-pipeline calculations plus an \"AI forecasting\" layer shown in-product. See 06-revops-infra.md for HubSpot's full platform entry (Breeze AI agents, official MCP servers, free API tier) — this entry covers only the forecasting-specific angle.", "ai_features": "Marketing copy shows \"AI forecasting\" in-product, but HubSpot's own page does not clearly separate a distinct ML prediction engine from its weighted-pipeline reporting math — treat this as a hybrid reporting-plus-light-AI feature rather than a confirmed standalone predictive model, honestly less differentiated than Salesforce's Einstein Forecasting or the dedicated forecasting vendors in this file.", "mcp_status": "none-found (forecast-specific; general HubSpot MCP entry covered in 06-revops-infra.md — no forecasting-specific MCP tools found distinct from that general server)", "mcp_url": "none (forecast-specific)", "mcp_auth": "n/a", "api_gate": "paid (Premium forecasting functionality requires Sales Hub or Service Hub, specific tier not confirmed beyond \"Premium\"; general HubSpot API access itself is free per the platform's core entry)", "revops_role": "Native forecasting layer inside HubSpot's CRM for teams that would otherwise need a bolt-on forecasting tool.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.hubspot.com/products/sales/forecasting", "notes": "Cross-reference only — do not duplicate the full HubSpot entry already researched in 06-revops-infra.md. This is the thinnest-verified entry in the file; HubSpot's own marketing page did not clearly substantiate a distinct AI/ML forecasting engine beyond weighted-pipeline reporting.", "mcp_status_bucket": "none-found", "api_gate_bucket": "paid", "mcp_urls": [], "source_urls": [ "https://www.hubspot.com/products/sales/forecasting" ], "source_annotations": [], "vendor_domain": "hubspot.com", "display_name": "HubSpot (AI Forecasting)", "docs_url": null, "jobs": [ "run-email-sequence", "draft-personalized-outreach", "answer-inbound-chat", "read-crm-records", "write-crm-records", "run-automation-workflow", "read-pipeline-forecast" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": false, "canonical_id": "06-hubspot", "also_listed_in": [ { "id": "06-hubspot", "name": "HubSpot", "category_num": "06", "category_slug": "revops-infra", "source_file": "06-revops-infra.md", "canonical": true } ], "source_file": "12-forecasting-revenue.md", "source_line": 321, "file_index": 16, "category_num": "12", "category_slug": "forecasting-revenue", "category_label": "Forecasting & Revenue", "heading": "HubSpot (AI Forecasting)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 194 }, { "id": "12-kluster", "slug": "kluster", "normalized_name": "kluster", "name": "Kluster", "vendor_url": "kluster.com", "category": "forecasting-revenue", "what_it_does": "AI-native revenue forecasting and revenue-analytics platform for mid-market to enterprise SaaS companies — plugs into the CRM, ingests historical performance and activity data, and produces AI/statistical forecasts across new business, renewals, upsells, and downgrades.", "ai_features": "Vendor markets \"Agentic Revenue Forecasting\" with an \"always-on AI agent\" surfacing deal risk, forecast gap, and pipeline-coverage signals, and claims 96% forecast accuracy two months before quarter close — vendor-published, not independently verified.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "enterprise-only in practice. No public pricing or self-serve signup exists — the site offers only \"Get a Demo\"/\"Book a Demo.\" A third-party aggregator (Vendr-sourced) cites a median contract around $39,500/year, market-observed, not vendor-confirmed.", "revops_role": "Positions itself as a direct Clari/Gong Forecast competitor for revenue leaders, RevOps, and finance at PE-backed and public SaaS companies.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.kluster.com, https://www.kluster.com/product, https://www.kluster.com/products/forecast, https://www.kluster.com/blog/kluster-vs-gong-revenue-forecasting-vs-revenue-intelligence, https://siliconcanals.com/kluster-bags-4-5m/, https://www.technologyinsales.com/tools/kluster, https://www.pulsemcp.com/servers?q=kluster", "notes": "DISAMBIGUATION — \"Kluster\" the GTM forecasting company is at kluster.com and is completely unrelated to \"kluster.ai,\" a developer-focused AI/GPU-infrastructure company (LLM inference/fine-tuning) that has its own unrelated \"Verify\" MCP server for hallucination-checking (github.com/kluster-ai/verify-mcp). Also unrelated to Klue (klue.com), a competitive-intelligence/win-loss platform with no forecasting functionality. Do not confuse any of the three when searching \"Kluster MCP.\"", "mcp_status_bucket": "none-found", "api_gate_bucket": "enterprise-only", "mcp_urls": [], "source_urls": [ "https://www.kluster.com", "https://www.kluster.com/product", "https://www.kluster.com/products/forecast", "https://www.kluster.com/blog/kluster-vs-gong-revenue-forecasting-vs-revenue-intelligence", "https://siliconcanals.com/kluster-bags-4-5m/", "https://www.technologyinsales.com/tools/kluster", "https://www.pulsemcp.com/servers?q=kluster" ], "source_annotations": [], "vendor_domain": "kluster.com", "display_name": "Kluster", "docs_url": null, "jobs": [ "read-pipeline-forecast" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "12-kluster", "also_listed_in": [], "source_file": "12-forecasting-revenue.md", "source_line": 112, "file_index": 5, "category_num": "12", "category_slug": "forecasting-revenue", "category_label": "Forecasting & Revenue", "heading": "Kluster", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 220 }, { "id": "12-mediafly", "slug": "mediafly", "normalized_name": "mediafly", "name": "Mediafly (Intelligence360, formerly InsightSquared)", "vendor_url": "mediafly.com", "category": "forecasting-revenue", "what_it_does": "Combined revenue-enablement and revenue-intelligence platform; the InsightSquared product (acquired January 2022) is now folded into \"Mediafly Intelligence360,\" providing deal inspection, pipeline forecasting, and conversation intelligence alongside Mediafly's original content-enablement product.", "ai_features": "Vendor claims predictive insights, dynamic content personalization, and deal-analysis agents that recommend content/next-best-actions, plus ML-based content tagging. Notably, Mediafly's own AI page states MCP support is roadmap-only, verbatim: \"We're also building MCP-based multi-agent orchestration as the next layer... on our roadmap\" — a direct vendor admission it isn't shipped. Other \"AI\" features (natural-language search, FAQ assistants) read as LLM-wrapper workflow features rather than predictive ML.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "unknown/enterprise-leaning. No developer/API documentation was found; pricing is fully sales-gated (\"schedule a revenue assessment\"), no self-serve signup or published tiers. One third-party aggregator (Vendr) cites a $30/user/month \"Essential\" starting price, unconfirmed on Mediafly's own site.", "revops_role": "Combined content-enablement plus deal/forecast-intelligence stack, spanning both what reps show buyers and how leadership inspects the pipeline.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.mediafly.com, https://www.mediafly.com/ai/, https://www.mediafly.com/press-releases/mediafly-finalizes-acquisition-of-insightsquared-offers-b2b-teams-the-most-complete-revenue-enablement-and-intelligence-platform-in-the-market/, https://www.cuspera.com/products/mediafly-intelligence360-formerly-insightsquared-x-2680, https://www.vendr.com/marketplace/mediafly-inc", "notes": "The InsightSquared brand name is no longer used anywhere on the current site — do not cite \"InsightSquared\" as a live, independently-branded product; it is now Mediafly Intelligence360.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.mediafly.com", "https://www.mediafly.com/ai/", "https://www.mediafly.com/press-releases/mediafly-finalizes-acquisition-of-insightsquared-offers-b2b-teams-the-most-complete-revenue-enablement-and-intelligence-platform-in-the-market/", "https://www.cuspera.com/products/mediafly-intelligence360-formerly-insightsquared-x-2680", "https://www.vendr.com/marketplace/mediafly-inc" ], "source_annotations": [], "vendor_domain": "mediafly.com", "display_name": "Mediafly (Intelligence360, formerly InsightSquared)", "docs_url": null, "jobs": [ "extract-deal-signals-from-calls", "retrieve-sales-content", "read-pipeline-forecast" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "12-mediafly", "also_listed_in": [], "source_file": "12-forecasting-revenue.md", "source_line": 55, "file_index": 2, "category_num": "12", "category_slug": "forecasting-revenue", "category_label": "Forecasting & Revenue", "heading": "Mediafly (formerly InsightSquared)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 264 }, { "id": "12-pigment", "slug": "pigment", "normalized_name": "pigment", "name": "Pigment", "vendor_url": "pigment.com", "category": "forecasting-revenue", "what_it_does": "AI-native enterprise business-planning (EPM) platform used across finance, sales, HR, and supply chain; GTM-relevant use cases include capacity, territory, and quota planning and revenue-growth-management scenario modeling.", "ai_features": "A genuine ML \"Predictions\" feature trained on historical data plus external variables (promotions, marketing spend, seasonality) generates statistical forecasts embedded in models — distinct from Pigment's separate agentic layer (Modeler Agent, Analyst Agent, and a not-yet-shipped Planner Agent), which is LLM-workflow automation for building/analyzing plans rather than the forecasting engine itself.", "mcp_status": "official", "mcp_url": "https://www.pigment.com/ai/mcp-server (developed in partnership with Anthropic); setup docs at https://kb.pigment.com/docs/mcp-server-1", "mcp_auth": "A workspace admin enables MCP under Settings > Integrations, generating a per-workspace endpoint; individual users then connect with their existing Pigment login/permissions (no separate MCP-specific key). Only Number/Integer/Boolean-type Metrics are queryable via MCP; admins can wall off sensitive data Blocks from AI/MCP access.", "api_gate": "enterprise-only in practice — no public pricing page exists (pigment.com/pricing 404s); every path leads to \"Request a demo.\" MCP access additionally requires Pigment AI to be activated first, an extra gate on top of the base enterprise contract.", "revops_role": "Enterprise capacity/territory/quota-planning layer, notable for one of the more substantive official MCP implementations in this category (real read access to live planning metrics, not just a chat wrapper) despite fully enterprise-gated pricing.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.pigment.com, https://www.pigment.com/ai/mcp-server, https://kb.pigment.com/docs/mcp-server-1, https://www.pigment.com/use-case/revenue-growth-management, https://www.pigment.com/ai-info-about-pigment, https://www.pulsemcp.com/servers?q=pigment", "notes": "Gong is a named Pigment customer using it for GTM capacity/RevOps planning — a useful \"who actually uses this\" data point given Gong's own entry elsewhere in this directory.", "mcp_status_bucket": "official", "api_gate_bucket": "enterprise-only", "mcp_urls": [ "https://www.pigment.com/ai/mcp-server", "https://kb.pigment.com/docs/mcp-server-1" ], "source_urls": [ "https://www.pigment.com", "https://www.pigment.com/ai/mcp-server", "https://kb.pigment.com/docs/mcp-server-1", "https://www.pigment.com/use-case/revenue-growth-management", "https://www.pigment.com/ai-info-about-pigment", "https://www.pulsemcp.com/servers?q=pigment" ], "source_annotations": [], "vendor_domain": "pigment.com", "display_name": "Pigment", "docs_url": null, "jobs": [ "model-revenue-plan" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "12-pigment", "also_listed_in": [], "source_file": "12-forecasting-revenue.md", "source_line": 188, "file_index": 9, "category_num": "12", "category_slug": "forecasting-revenue", "category_label": "Forecasting & Revenue", "heading": "Pigment", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 117 }, { "id": "12-pipedrive", "slug": "pipedrive", "normalized_name": "pipedrive", "name": "Pipedrive (AI Sales Assistant / forecasting)", "vendor_url": "pipedrive.com", "category": "forecasting-revenue", "what_it_does": "Pipedrive's built-in AI-driven forecasting layer — not a separately branded \"Insights\" product, but the CRM's AI Sales Assistant plus probability-weighted pipeline forecasting math. See 06-revops-infra.md for Pipedrive's full CRM entry (general MCP server, OAuth, free-on-all-plans MCP access) — this entry covers only the forecasting angle.", "ai_features": "A hybrid: traditional weighted-pipeline math combined with ML models the vendor describes as \"learning from historical data and live pipeline data\" to predict close dates and flag at-risk deals; the AI Sales Assistant can also be prompted in natural language to forecast revenue. Positioned as an assistant layer over standard CRM forecasting rather than a heavyweight standalone ML product.", "mcp_status": "none-found (forecast-specific; general Pipedrive MCP server covered in 06-revops-infra.md — no forecasting-specific MCP tools found distinct from that general server)", "mcp_url": "none (forecast-specific)", "mcp_auth": "n/a", "api_gate": "free (AI Sales Assistant is bundled into every plan tier, not a separate add-on, available starting on the entry-level Lite plan; more advanced AI reporting/email tools are gated to Growth tier and above)", "revops_role": "Aside, not a specialist tool — Pipedrive is CRM infrastructure with forecasting as one bundled feature, included here for completeness against the specialist forecasting platforms in this file.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.pipedrive.com/en/features/sales-forecasting-software, https://www.pipedrive.com/en/features/ai-sales-assistant, https://www.pipedrive.com/en/blog/ai-sales-forecasting", "notes": "Pipedrive's own pricing page returned HTTP 403 on direct fetch; the plan-to-feature mapping above rests on third-party summaries (lindy.ai, delveant.com), not a first-party page read in full — worth a direct check before treating tier gating as fully settled.", "mcp_status_bucket": "none-found", "api_gate_bucket": "free", "mcp_urls": [], "source_urls": [ "https://www.pipedrive.com/en/features/sales-forecasting-software", "https://www.pipedrive.com/en/features/ai-sales-assistant", "https://www.pipedrive.com/en/blog/ai-sales-forecasting" ], "source_annotations": [], "vendor_domain": "pipedrive.com", "display_name": "Pipedrive (AI Sales Assistant / forecasting)", "docs_url": null, "jobs": [ "read-crm-records", "write-crm-records", "read-pipeline-forecast" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": false, "canonical_id": "06-pipedrive", "also_listed_in": [ { "id": "06-pipedrive", "name": "Pipedrive", "category_num": "06", "category_slug": "revops-infra", "source_file": "06-revops-infra.md", "canonical": true } ], "source_file": "12-forecasting-revenue.md", "source_line": 150, "file_index": 7, "category_num": "12", "category_slug": "forecasting-revenue", "category_label": "Forecasting & Revenue", "heading": "Pipedrive (AI Sales Assistant / forecasting)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 181 }, { "id": "12-revenue-io", "slug": "revenue-io", "normalized_name": "revenue io", "name": "Revenue.io", "vendor_url": "revenue.io", "category": "forecasting-revenue", "what_it_does": "Salesforce-native AI-guided-selling platform whose forecasting product reads live Salesforce opportunity data to produce automatic rep/manager/VP forecast roll-ups without CSV exports or manual sync.", "ai_features": "Conversation intelligence (auto-transcribes/scores Salesforce-dialer calls, surfaces deal risk in real time); deal-health scoring that flags forecast risk and sits \"as a peer voice\" alongside reps/managers rather than replacing their number with a single AI figure; sentiment analysis mapping rep sentiment trends to pipeline-stage movement. Genuinely call-derived signals, not just CRM-field math.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "unknown. No API or MCP documentation was found; Revenue.io's Engage tier is confirmed at $175/user/month list price (2026) per a third-party tracker (Vendr), with a lower-cost Activate tier focused on inbound response/call performance. No self-serve API signup was located.", "revops_role": "Salesforce-embedded forecasting-plus-conversation-intelligence layer, positioned as an always-current forecast (no separate report to maintain) rather than a standalone forecasting platform.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.revenue.io/forecasting, https://www.revenue.io/faqs, https://www.vendr.com/marketplace/revenue-io, https://www.pulsemcp.com/servers?q=revenue.io", "notes": "None.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.revenue.io/forecasting", "https://www.revenue.io/faqs", "https://www.vendr.com/marketplace/revenue-io", "https://www.pulsemcp.com/servers?q=revenue.io" ], "source_annotations": [], "vendor_domain": "revenue.io", "display_name": "Revenue.io", "docs_url": null, "jobs": [ "place-outbound-call", "fetch-call-transcript", "extract-deal-signals-from-calls", "read-pipeline-forecast" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "12-revenue-io", "also_listed_in": [], "source_file": "12-forecasting-revenue.md", "source_line": 264, "file_index": 13, "category_num": "12", "category_slug": "forecasting-revenue", "category_label": "Forecasting & Revenue", "heading": "Revenue.io", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 274 }, { "id": "12-salesforce-einstein-forecasting", "slug": "salesforce-einstein-forecasting", "normalized_name": "salesforce einstein forecasting", "name": "Salesforce Einstein Forecasting", "vendor_url": "salesforce.com", "category": "forecasting-revenue", "what_it_does": "Sales Cloud's AI forecasting feature, analyzing past opportunities, account history, and activities plus rep win-rates to generate revenue predictions with confidence ranges. See 06-revops-infra.md for Salesforce's full platform entry (Agentforce, Hosted MCP Servers, enterprise-only MCP gate) — this entry covers only the forecasting-specific angle.", "ai_features": "Genuine ML forecasting — distinguishes between existing opportunities, newly created ones, and early closures, and surfaces the key factors influencing each prediction rather than a single black-box number.", "mcp_status": "none-found (forecast-specific; general Salesforce MCP entry covered in 06-revops-infra.md — no forecasting-specific MCP tools or endpoints found distinct from that general server)", "mcp_url": "none (forecast-specific)", "mcp_auth": "n/a", "api_gate": "enterprise-only for this specific feature — Einstein Forecasting requires Sales Cloud Unlimited Edition or a Sales Cloud Einstein license add-on, on top of whatever gate applies to Salesforce's general API/MCP access.", "revops_role": "Native forecasting layer inside Salesforce's core CRM, an alternative to bolting on a third-party forecasting tool for orgs already paying for Unlimited Edition or the Einstein add-on.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://trailhead.salesforce.com/content/learn/modules/sales-forecasting/view-and-set-sales-forecasts", "notes": "Cross-reference only — do not duplicate the full Salesforce/Agentforce entry already researched in 06-revops-infra.md.", "mcp_status_bucket": "none-found", "api_gate_bucket": "enterprise-only", "mcp_urls": [], "source_urls": [ "https://trailhead.salesforce.com/content/learn/modules/sales-forecasting/view-and-set-sales-forecasts" ], "source_annotations": [], "vendor_domain": "salesforce.com", "display_name": "Salesforce Einstein Forecasting", "docs_url": null, "jobs": [ "read-pipeline-forecast" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "12-salesforce-einstein-forecasting", "also_listed_in": [], "source_file": "12-forecasting-revenue.md", "source_line": 302, "file_index": 15, "category_num": "12", "category_slug": "forecasting-revenue", "category_label": "Forecasting & Revenue", "heading": "Salesforce Einstein Forecasting", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 228 }, { "id": "12-vareto", "slug": "vareto", "normalized_name": "vareto", "name": "Vareto", "vendor_url": "vareto.com (vareto.io is an unrelated \"Coming Soon\" placeholder page, not the company)", "category": "forecasting-revenue", "what_it_does": "FP&A / financial-planning platform for finance teams (budgeting, headcount planning, driver-based modeling, cash-flow forecasting) that lists \"Sales Revenue Forecasting\" and \"Capacity Planning\" as one of several supported use cases.", "ai_features": "Vendor markets \"AI-native modeling\" for building financial plans, with no specifics disclosed on model type or architecture — a general capability claim, not a specific predictive-ML or LLM-copilot claim.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "unknown. No developer/API documentation was found; pricing is custom/quote-based per third-party aggregators (Vendr: \"no publicly listed standard plans or fees\"), no self-serve tier confirmed.", "revops_role": "HONESTY FLAG — Vareto sits in the FP&A stack, not the RevOps/sales-forecasting stack proper. Unlike the CRM-native tools in this file, it does not ingest CRM deal-level data or produce bottoms-up pipeline forecasts — finance teams use it to model sales capacity/revenue targets top-down alongside budget and headcount planning. Included per the seed list, but it is FP&A-adjacent, not a sales-forecasting specialist.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://vareto.io, https://www.vareto.com, https://www.vendr.com/marketplace/vareto", "notes": "DOMAIN FLAG — vareto.io is a dead Squarespace \"Coming Soon\" placeholder unrelated to the real company, which operates at vareto.com.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://vareto.io", "https://www.vareto.com", "https://www.vendr.com/marketplace/vareto" ], "source_annotations": [], "vendor_domain": "vareto.com", "display_name": "Vareto", "docs_url": null, "jobs": [ "model-revenue-plan" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "12-vareto", "also_listed_in": [], "source_file": "12-forecasting-revenue.md", "source_line": 93, "file_index": 4, "category_num": "12", "category_slug": "forecasting-revenue", "category_label": "Forecasting & Revenue", "heading": "Vareto", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 286 }, { "id": "12-varicent", "slug": "varicent", "normalized_name": "varicent", "name": "Varicent", "vendor_url": "varicent.com", "category": "forecasting-revenue", "what_it_does": "Enterprise sales-performance-management (SPM) platform covering incentive compensation, quota setting, territory design, pipeline management, and revenue forecasting in one suite.", "ai_features": "\"Varicent LIFT\" (Revenue Intelligence) markets pipeline analytics and coaching insights — at-risk-deal identification, rep-performance patterns, forecast risk — plus a \"Revenue Intelligence Workbench\" for predictive forecasts and opportunity scoring; vendor-described, no independent model/methodology detail found.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "enterprise-only. Custom pricing based on payee volume and modules, no published rates, quote-only. A separate product, Varicent ELT (its data-integration layer), does offer a documented REST API with self-service API-key generation, but this is data-pipeline tooling, not the forecasting/SPM product's own developer surface.", "revops_role": "Comp-plus-forecasting suite for large, complex organizations with dedicated sales-ops teams — closer to Xactly's category than to lighter CRM-native forecasting add-ons.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.varicent.com/products/sales-planning-software, https://www.varicent.com/ai-for-sales, https://elt.varicent.com/assets/elt-docs/en/get-started/account-settings/api-keys.html, https://www.opensymmetry.com/api-varicent/, https://www.pulsemcp.com/servers?q=varicent", "notes": "None.", "mcp_status_bucket": "none-found", "api_gate_bucket": "enterprise-only", "mcp_urls": [], "source_urls": [ "https://www.varicent.com/products/sales-planning-software", "https://www.varicent.com/ai-for-sales", "https://elt.varicent.com/assets/elt-docs/en/get-started/account-settings/api-keys.html", "https://www.opensymmetry.com/api-varicent/", "https://www.pulsemcp.com/servers?q=varicent" ], "source_annotations": [], "vendor_domain": "varicent.com", "display_name": "Varicent", "docs_url": null, "jobs": [ "read-pipeline-forecast", "model-revenue-plan", "score-rep-performance" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "12-varicent", "also_listed_in": [], "source_file": "12-forecasting-revenue.md", "source_line": 245, "file_index": 12, "category_num": "12", "category_slug": "forecasting-revenue", "category_label": "Forecasting & Revenue", "heading": "Varicent", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 230 }, { "id": "12-xactly", "slug": "xactly", "normalized_name": "xactly", "name": "Xactly", "vendor_url": "xactlycorp.com", "category": "forecasting-revenue", "what_it_does": "Revenue platform combining incentive-compensation management (Xactly Incent) with pipeline/revenue forecasting (Xactly Forecast), using compensation-plan and rep-behavior data as a forecasting input.", "ai_features": "\"Xactly Intelligence\" claims bias/sandbagging detection using 20+ years of rep-behavior data, compensation-dissatisfaction signals as an early attrition-risk indicator, and deal-health scoring incorporating email sentiment and meeting frequency — more specific than most vendor \"AI\" claims in this file because it's tied to Xactly's genuinely unusual comp-plus-forecasting data combination, though the methodology itself isn't published. Superlative claims (\"99.6% forecasting accuracy,\" \"$7B in monthly commissions processed\") are vendor-stated, not independently verified.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "enterprise-only. Xactly's own pricing page states plainly: \"We don't offer a self-service trial because sales comp is usually too unique for a 'one-size-fits-all' test.\" Three tiers exist (Core, Plus, Ultimate) but no published rates — quote-only.", "revops_role": "Incentive-compensation-plus-forecasting platform, differentiated from pure CRM-based forecasting tools by tying comp-plan behavior directly to forecast risk.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.xactlycorp.com/products/xactly-forecast, https://www.xactlycorp.com/products/xactly-incent, https://www.xactlycorp.com/pricing, https://www.pulsemcp.com/servers?q=xactly", "notes": "Xactly's blog has a post titled \"Why the Model Context Protocol (MCP) is the Next Enterprise Front Line\" — this is thought-leadership commentary about MCP as a concept, not an announcement of a shipped Xactly MCP server; no product, repo, or docs were found to back an official/community MCP claim.", "mcp_status_bucket": "none-found", "api_gate_bucket": "enterprise-only", "mcp_urls": [], "source_urls": [ "https://www.xactlycorp.com/products/xactly-forecast", "https://www.xactlycorp.com/products/xactly-incent", "https://www.xactlycorp.com/pricing", "https://www.pulsemcp.com/servers?q=xactly" ], "source_annotations": [], "vendor_domain": "xactlycorp.com", "display_name": "Xactly", "docs_url": null, "jobs": [ "read-pipeline-forecast", "model-revenue-plan", "score-rep-performance" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "12-xactly", "also_listed_in": [], "source_file": "12-forecasting-revenue.md", "source_line": 169, "file_index": 8, "category_num": "12", "category_slug": "forecasting-revenue", "category_label": "Forecasting & Revenue", "heading": "Xactly", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 231 }, { "id": "13-aligned", "slug": "aligned", "normalized_name": "aligned", "name": "Aligned (alignedup.com)", "vendor_url": "alignedup.com", "category": "proposals-deals", "what_it_does": "Digital sales room platform for buyer collaboration, mutual action plans, and centralized deal content, competing directly with Trumpet and Recapped.io in the same product category.", "ai_features": "No independently verified AI/ML claims found on the pricing/product pages reviewed.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "n/a — no API access. Pricing tiers are Starter (free), Basic ($35/seat/mo), Pro ($60/seat/mo), and Enterprise (custom), but per the sources reviewed, Aligned does not provide API access at any tier, making it the clearest \"no developer path at all\" contrast case among this file's three digital-sales-room entries (Trumpet, Recapped.io, Aligned).", "revops_role": "Digital sales room / buyer-collaboration layer with a real self-serve free tier but explicitly no API or MCP surface for a GTM engineer to build on.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://alignedup.com/pricing/, https://softwarefinder.com/customer-service-software/aligned", "notes": "Included as a deliberate contrast case: same product category and pricing shape as Trumpet, but zero developer/AI-agent access surface as of this research — a clean \"same category, opposite access model\" pairing for a published piece.", "mcp_status_bucket": "none-found", "api_gate_bucket": "n-a", "mcp_urls": [], "source_urls": [ "https://alignedup.com/pricing/", "https://softwarefinder.com/customer-service-software/aligned" ], "source_annotations": [], "vendor_domain": "alignedup.com", "display_name": "Aligned (alignedup.com)", "docs_url": null, "jobs": [ "create-digital-sales-room" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "13-aligned", "also_listed_in": [], "source_file": "13-proposals-deals.md", "source_line": 261, "file_index": 13, "category_num": "13", "category_slug": "proposals-deals", "category_label": "Proposals & Deals", "heading": "Aligned", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 287 }, { "id": "13-arphie", "slug": "arphie", "normalized_name": "arphie", "name": "Arphie", "vendor_url": "arphie.ai", "category": "proposals-deals", "what_it_does": "AI-native RFP/RFx/security-questionnaire response software, positioned as a faster-drafting alternative/competitor to Loopio and Responsive.", "ai_features": "Core product is explicitly AI-drafting-first (auto-answering RFP/questionnaire content from a knowledge base) — the category's newer, \"AI-native\" entrant rather than an established platform with AI bolted on; depth of the underlying model not independently verified.", "mcp_status": "official", "mcp_url": "referenced via pricing/product pages describing an \"Arphie MCP\" plan; no distinct standalone MCP docs URL or GitHub repo was independently located beyond the pricing mention — treat with the same caution as DealHub's entry above, logged as official on the strength of a specific named, priced product line rather than a confirmed public technical spec.", "mcp_auth": "unknown", "api_gate": "paid, usage-based for MCP specifically. Core RFP platform uses \"concurrent project-based\" custom pricing (charges scale with how many RFPs/questionnaires are active at once, not per-seat) with no published rate card. The MCP plan specifically is priced at $50/month plus $0.05 per answered question — notably the same $50/mo base as Responsive's MCP pricing, suggesting a shared MCP-hosting/billing pattern across RFP vendors worth investigating further.", "revops_role": "AI-native RFP response layer, direct competitor to Loopio and Responsive, differentiated mainly on drafting speed and a transparently usage-priced MCP tier.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.arphie.ai/, https://autorfp.ai/blog/arphie-pricing, https://www.arphie.ai/blog/best-ai-tools-rfx-response-automation-software", "notes": "FLAG: the \"$50/mo + per-answer usage\" MCP pricing pattern appearing identically at both Responsive and Arphie (two direct competitors) is worth a dedicated follow-up — either a coincidence, a category-wide pricing convention, or both vendors reselling the same underlying MCP-hosting infrastructure.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [], "source_urls": [ "https://www.arphie.ai/", "https://autorfp.ai/blog/arphie-pricing", "https://www.arphie.ai/blog/best-ai-tools-rfx-response-automation-software" ], "source_annotations": [], "vendor_domain": "arphie.ai", "display_name": "Arphie", "docs_url": null, "jobs": [ "draft-rfp-response" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "13-arphie", "also_listed_in": [], "source_file": "13-proposals-deals.md", "source_line": 204, "file_index": 10, "category_num": "13", "category_slug": "proposals-deals", "category_label": "Proposals & Deals", "heading": "Arphie", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 47 }, { "id": "13-common-paper", "slug": "common-paper", "normalized_name": "common paper", "name": "Common Paper", "vendor_url": "commonpaper.com", "category": "proposals-deals", "what_it_does": "Contract system built for startups — standardized, mutually-agreeable contract templates (MSAs, DPAs, order forms) plus a workflow/e-signature layer, positioned as a faster, less lawyer-heavy alternative to a full CLM for early-stage companies.", "ai_features": "MCP integration is framed as bringing \"contract intelligence\" into AI tools (query agreements, analyze contract terms, generate insights) — a genuine data-access/analysis layer over real contract data; underlying AI methodology not independently verified beyond that framing.", "mcp_status": "official", "mcp_url": "https://commonpaper.com/release-notes/common-paper-mcp-model-context-protocol-integration/ ; REST API docs at https://api.commonpaper.com/docs", "mcp_auth": "unknown — not detailed in the release-notes excerpt reviewed.", "api_gate": "free (limited) to paid. Pricing tiers found: a Free tier, a $50/user/month standard tier, and a $100/user/month premium tier, with the API and notification webhooks described as available across plans (exact per-tier API scope not itemized).", "revops_role": "Lightweight, standardized contracting layer aimed at startups closing deals faster without a full legal-ops build-out — the closest thing in this file to a solo-operator-friendly CLM.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://commonpaper.com/release-notes/common-paper-mcp-model-context-protocol-integration/, https://commonpaper.com/pricing/, https://api.commonpaper.com/docs", "notes": "The main commonpaper.com homepage returned an HTTP 403 to automated fetching during this research; facts above are drawn from search-indexed pricing and release-notes pages instead of a direct homepage read — worth a manual re-check.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://commonpaper.com/release-notes/common-paper-mcp-model-context-protocol-integration/", "https://api.commonpaper.com/docs" ], "source_urls": [ "https://commonpaper.com/release-notes/common-paper-mcp-model-context-protocol-integration/", "https://commonpaper.com/pricing/", "https://api.commonpaper.com/docs" ], "source_annotations": [], "vendor_domain": "commonpaper.com", "display_name": "Common Paper", "docs_url": null, "jobs": [ "send-document-for-signature", "read-contract-terms" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "13-common-paper", "also_listed_in": [], "source_file": "13-proposals-deals.md", "source_line": 185, "file_index": 9, "category_num": "13", "category_slug": "proposals-deals", "category_label": "Proposals & Deals", "heading": "Common Paper", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 9 }, { "id": "13-dealhub", "slug": "dealhub", "normalized_name": "dealhub", "name": "DealHub (DealHub AI)", "vendor_url": "dealhub.io", "category": "proposals-deals", "what_it_does": "CPQ (configure-price-quote) and quote-to-revenue platform generating guided, dynamic sales proposals with real-time pricing logic, plus optional CLM and subscription-billing modules.", "ai_features": "Markets itself as \"DealHub AI\" with AI-assisted deal guidance; specific model/methodology claims were not independently verified in the pages reviewed.", "mcp_status": "unknown", "mcp_url": "a third-party directory (salestools.club/apis/dealhub) lists \"DealHub API Documentation & MCP Config,\" implying some MCP configuration exists, but no official DealHub-branded MCP docs page or GitHub repo could be independently located to confirm — logged as unknown rather than community/official pending direct verification.", "mcp_auth": "unknown", "api_gate": "enterprise-only in practice. DealHub operates on a custom-quote-only pricing model with no published prices across all three tiers (CPQ+, CPQ+CLM, Quote-to-Revenue); the Pricing API and Callouts API for real-time pricing sync exist but are documented as integration features of a purchased platform, not a standalone self-serve developer product.", "revops_role": "CPQ/quote-generation engine sitting upstream of the proposal itself, feeding live pricing into whatever document tool renders the final quote.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://dealhub.io/pricing/, https://developers.dealhub.io/docs/introduction-to-dealhub-apis, https://dealhub.io/blog/cpq/what-you-can-do-with-dealhub-api/, https://salestools.club/apis/dealhub", "notes": "The salestools.club \"MCP Config\" listing is the only lead found — flagged for direct verification against DealHub's own developer docs before citing it as a settled fact either way.", "mcp_status_bucket": "unknown", "api_gate_bucket": "enterprise-only", "mcp_urls": [], "source_urls": [ "https://dealhub.io/pricing/", "https://developers.dealhub.io/docs/introduction-to-dealhub-apis", "https://dealhub.io/blog/cpq/what-you-can-do-with-dealhub-api/", "https://salestools.club/apis/dealhub" ], "source_annotations": [], "vendor_domain": "dealhub.io", "display_name": "DealHub (DealHub AI)", "docs_url": null, "jobs": [ "generate-proposal-or-quote" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "13-dealhub", "also_listed_in": [], "source_file": "13-proposals-deals.md", "source_line": 71, "file_index": 3, "category_num": "13", "category_slug": "proposals-deals", "category_label": "Proposals & Deals", "heading": "DealHub", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 167 }, { "id": "13-docusign", "slug": "docusign", "normalized_name": "docusign", "name": "DocuSign", "vendor_url": "docusign.com", "category": "proposals-deals", "what_it_does": "E-signature and Intelligent Agreement Management (IAM) platform; the CLM/AI side covered here is agreement creation, status tracking, and AI-assisted querying/analysis of agreement data via MCP, distinct from plain e-signature.", "ai_features": "MCP tools let an AI client query and analyze agreement data conversationally (find documents, check status, move signing workflows forward from chat) — this is an AI-agent access layer over DocuSign's IAM platform; DocuSign also markets separate \"Intelligent Agreement Management\" AI analysis features not independently verified in this research.", "mcp_status": "official (Open Beta)", "mcp_url": "https://developers.docusign.com/platform/mcp-server/ ; hosted endpoint https://mcp.docusign.com/mcp ; announcement/community thread: https://community.docusign.com/general-74/building-with-ai-just-got-easier-introducing-the-docusign-mcp-server-25912", "mcp_auth": "OAuth — Streamable HTTP transport; first connection opens a browser window to sign in and authorize, then reuses credentials.", "api_gate": "paid, tiered by envelope volume. DocuSign's Developer API plans run Starter ($50/mo or $600/yr, 40 envelopes/mo) through Intermediate ($300/mo, 100 envelopes/mo) to Advanced ($480/mo, unlocks Bulk Send/PowerForms/Connect webhooks) and Enterprise (custom); a free developer sandbox account exists for prototyping but is explicitly not production-usable. The MCP Server itself is described as available to both developer and production accounts in Open Beta with \"no intake form or approval required,\" which is a notably low-friction access point relative to the metered envelope API underneath it.", "revops_role": "E-signature and agreement-management system of record; the MCP server is a genuinely new, low-friction AI-agent entry point into a platform that otherwise gates by envelope volume and dollar tier.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://developers.docusign.com/platform/mcp-server/, https://mcpservers.org/remote-mcp-servers/docusign, https://www.pulsemcp.com/servers/docusign, https://www.docusign.com/blog/developers/claude-docusign-mcp-connector-guide, https://ecom.docusign.com/plans-and-pricing/developer", "notes": "This entry deliberately covers the CLM/AI/MCP side per the seed list's instruction, not DocuSign's base e-signature product as a whole. The MCP Server being open to both developer AND production accounts with no approval gate is unusual for an incumbent this large — worth flagging as a genuinely low-friction access point.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://developers.docusign.com/platform/mcp-server/", "https://mcp.docusign.com/mcp", "https://community.docusign.com/general-74/building-with-ai-just-got-easier-introducing-the-docusign-mcp-server-25912" ], "source_urls": [ "https://developers.docusign.com/platform/mcp-server/", "https://mcpservers.org/remote-mcp-servers/docusign", "https://www.pulsemcp.com/servers/docusign", "https://www.docusign.com/blog/developers/claude-docusign-mcp-connector-guide", "https://ecom.docusign.com/plans-and-pricing/developer" ], "source_annotations": [], "vendor_domain": "docusign.com", "display_name": "DocuSign", "docs_url": null, "jobs": [ "send-document-for-signature", "read-contract-terms" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "13-docusign", "also_listed_in": [], "source_file": "13-proposals-deals.md", "source_line": 33, "file_index": 1, "category_num": "13", "category_slug": "proposals-deals", "category_label": "Proposals & Deals", "heading": "DocuSign", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 60 }, { "id": "13-getaccept", "slug": "getaccept", "normalized_name": "getaccept", "name": "GetAccept", "vendor_url": "getaccept.com", "category": "proposals-deals", "what_it_does": "Digital sales room and e-signature platform combining proposal delivery, contract tracking, and an e-signature API for embedding signing flows into other products.", "ai_features": "No independently verified AI/ML claims found on the pages reviewed beyond general product marketing.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "paid. Core plans run E-sign at $25/mo and Professional at $49/mo, with Enterprise custom; the separate eSignature API is described as \"usage-based pricing designed to fit your company's needs,\" requiring a sales conversation rather than a public rate card.", "revops_role": "Digital sales room / proposal-and-signature layer, positioned as a GetAccept-vs-PandaDoc-vs-Proposify choice in this category.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.getaccept.com/api, https://www.getaccept.com/pricing, https://www.getapp.com/sales-software/a/getaccept/", "notes": "No MCP reference found anywhere in this research.", "mcp_status_bucket": "none-found", "api_gate_bucket": "paid", "mcp_urls": [], "source_urls": [ "https://www.getaccept.com/api", "https://www.getaccept.com/pricing", "https://www.getapp.com/sales-software/a/getaccept/" ], "source_annotations": [], "vendor_domain": "getaccept.com", "display_name": "GetAccept", "docs_url": null, "jobs": [ "generate-proposal-or-quote", "send-document-for-signature", "create-digital-sales-room" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "13-getaccept", "also_listed_in": [], "source_file": "13-proposals-deals.md", "source_line": 90, "file_index": 4, "category_num": "13", "category_slug": "proposals-deals", "category_label": "Proposals & Deals", "heading": "GetAccept", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 192 }, { "id": "13-ironclad", "slug": "ironclad", "normalized_name": "ironclad", "name": "Ironclad", "vendor_url": "ironcladapp.com", "category": "proposals-deals", "what_it_does": "Contract lifecycle management (CLM) platform for drafting, negotiating, and managing contracts with workflow automation across legal, sales, and procurement teams — sales-adjacent rather than a sales tool proper.", "ai_features": "\"AI Assist\" is marketed as a distinct paid add-on for contract analysis/drafting assistance; specific model/methodology details not independently verified.", "mcp_status": "official", "mcp_url": "https://support.ironcladapp.com/hc/en-us/articles/39887091143319-Ironclad-MCP-Server ; also referenced at https://github.com/ever-works/awesome-mcp-servers/blob/master/details/ironclad-mcp-server.md", "mcp_auth": "unknown — a single, static MCP endpoint per the support article; specific credential mechanism not detailed in the sources reviewed.", "api_gate": "enterprise-only. Ironclad has no published list pricing; typical mid-market/enterprise deployments run $50K-$200K+/yr per third-party trackers, with AI Assist as a separate $50,000-$200,000/yr add-on. Public API access requires an enterprise contract and an account rep — not self-serve at any tier.", "revops_role": "Legal-ops-owned CLM system that GTM engineers touch mainly for contract-velocity/cycle-time visibility, not a sales tool a solo operator would independently purchase.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://support.ironcladapp.com/hc/en-us/articles/39887091143319-Ironclad-MCP-Server, https://github.com/ever-works/awesome-mcp-servers/blob/master/details/ironclad-mcp-server.md, https://www.vaquill.ai/blog/ironclad-pricing, https://ironcladapp.com/pricing", "notes": "Included per the seed list's \"sales-adjacent\" framing — Ironclad is legal-ops-first, but its MCP server and contract-velocity data are genuinely relevant to a GTM engineer tracking deal-to-close friction.", "mcp_status_bucket": "official", "api_gate_bucket": "enterprise-only", "mcp_urls": [ "https://support.ironcladapp.com/hc/en-us/articles/39887091143319-Ironclad-MCP-Server", "https://github.com/ever-works/awesome-mcp-servers/blob/master/details/ironclad-mcp-server.md" ], "source_urls": [ "https://support.ironcladapp.com/hc/en-us/articles/39887091143319-Ironclad-MCP-Server", "https://github.com/ever-works/awesome-mcp-servers/blob/master/details/ironclad-mcp-server.md", "https://www.vaquill.ai/blog/ironclad-pricing", "https://ironcladapp.com/pricing" ], "source_annotations": [], "vendor_domain": "ironcladapp.com", "display_name": "Ironclad", "docs_url": null, "jobs": [ "read-contract-terms" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/ever-works/awesome-mcp-servers/blob/master/details/ironclad-mcp-server.md", "https://github.com/ever-works/awesome-mcp-servers/blob/master/details/ironclad-mcp-server.md" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "13-ironclad", "also_listed_in": [], "source_file": "13-proposals-deals.md", "source_line": 166, "file_index": 8, "category_num": "13", "category_slug": "proposals-deals", "category_label": "Proposals & Deals", "heading": "Ironclad", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 115 }, { "id": "13-loopio", "slug": "loopio", "normalized_name": "loopio", "name": "Loopio", "vendor_url": "loopio.com", "category": "proposals-deals", "what_it_does": "RFP/RFI response-management platform with a searchable content library, AI-assisted answer drafting, and collaborative proposal workflows for larger bid teams.", "ai_features": "Markets \"AI RFP Software with a Competitive Edge\" — AI-assisted content retrieval and drafting from the response library is the core claimed capability; independent verification of the underlying model was not found.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "enterprise-only. Loopio does not publish pricing; third-party procurement data (Vendr, aggregating 80+ verified purchases) puts entry pricing around $20,000/yr for the Foundations tier (10 seats), with typical ACVs of $15,000-$150,000+ depending on team size — a fully sales-led, quote-only model with no self-serve path or public API-pricing page found.", "revops_role": "RFP/RFI response system of record for larger proposal teams, the incumbent Loopio competes against in this file (Responsive, Arphie) increasingly via AI-drafting speed and MCP access rather than content-library size alone.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://loopio.com/pricing/, https://www.vendr.com/marketplace/loopio, https://autorfp.ai/blog/loopio-pricing, https://loopio.com/", "notes": "No MCP reference found in this research — a notable contrast to Responsive and Arphie, its two closest direct competitors in this file, both of which shipped official MCP servers.", "mcp_status_bucket": "none-found", "api_gate_bucket": "enterprise-only", "mcp_urls": [], "source_urls": [ "https://loopio.com/pricing/", "https://www.vendr.com/marketplace/loopio", "https://autorfp.ai/blog/loopio-pricing", "https://loopio.com/" ], "source_annotations": [], "vendor_domain": "loopio.com", "display_name": "Loopio", "docs_url": null, "jobs": [ "draft-rfp-response" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "13-loopio", "also_listed_in": [], "source_file": "13-proposals-deals.md", "source_line": 128, "file_index": 6, "category_num": "13", "category_slug": "proposals-deals", "category_label": "Proposals & Deals", "heading": "Loopio", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 221 }, { "id": "13-pandadoc", "slug": "pandadoc", "normalized_name": "pandadoc", "name": "PandaDoc", "vendor_url": "pandadoc.com", "category": "proposals-deals", "what_it_does": "Document builder/e-signature platform for proposals, quotes, and contracts, with AI-assisted content generation and CRM-linked workflows.", "ai_features": "AI-assisted document drafting and content suggestions inside the editor; the MCP server itself is an access/automation layer (search, create-from-template, send-and-track), not a new AI capability in itself.", "mcp_status": "official", "mcp_url": "https://developers.pandadoc.com/docs/how-to-use-the-pandadoc-mcp-server ; hosted remote server at https://mcp.pandadoc.com/v1/mcp", "mcp_auth": "OAuth — remote hosted server, add the server URL to an MCP client (Claude Desktop, Claude Code, Cursor, VS Code, Gemini, etc.) and authenticate via OAuth.", "api_gate": "free (limited). PandaDoc's Free plan now includes API access with both a sandbox and production API key at signup (60 documents/year, 5 templates, sandbox docs watermarked and limited to your own domain) — sources conflict on whether production API access requires a paid/Enterprise plan, so treat the free-tier claim as probable-but-recently-changed rather than fully certain; verify current terms before publishing.", "revops_role": "Proposal/quote/e-signature system of record, one of the more genuinely solo-operator-accessible tools in this category on both API and MCP access.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://developers.pandadoc.com/docs/how-to-use-the-pandadoc-mcp-server, https://www.usecarly.com/blog/pandadoc-mcp/, https://www.pandadoc.com/blog/pandadoc-free-plan-api/, https://www.pandadoc.com/api/pricing/, https://www.pulsemcp.com/servers/dazanza-pandadoc", "notes": "PulseMCP also lists a third-party community server (dazanza-pandadoc) — prefer the official hosted one (mcp.pandadoc.com) documented on PandaDoc's own developer site.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://developers.pandadoc.com/docs/how-to-use-the-pandadoc-mcp-server", "https://mcp.pandadoc.com/v1/mcp" ], "source_urls": [ "https://developers.pandadoc.com/docs/how-to-use-the-pandadoc-mcp-server", "https://www.usecarly.com/blog/pandadoc-mcp/", "https://www.pandadoc.com/blog/pandadoc-free-plan-api/", "https://www.pandadoc.com/api/pricing/", "https://www.pulsemcp.com/servers/dazanza-pandadoc" ], "source_annotations": [], "vendor_domain": "pandadoc.com", "display_name": "PandaDoc", "docs_url": null, "jobs": [ "generate-proposal-or-quote", "send-document-for-signature" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "13-pandadoc", "also_listed_in": [], "source_file": "13-proposals-deals.md", "source_line": 14, "file_index": 0, "category_num": "13", "category_slug": "proposals-deals", "category_label": "Proposals & Deals", "heading": "PandaDoc", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 26 }, { "id": "13-proposify", "slug": "proposify", "normalized_name": "proposify", "name": "Proposify", "vendor_url": "proposify.com", "category": "proposals-deals", "what_it_does": "Proposal-creation and e-signature software with template libraries, approval workflows, and CRM/Salesforce integration for sales teams.", "ai_features": "No independently verified AI/ML claims found on the pages reviewed beyond general product marketing.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "paid, Business tier only. Basic ($29/user/mo monthly, $19 annual, capped at 5 sends/mo) and Team ($49/user/mo monthly, $41 annual, unlimited sends) do not include API access; the Business plan (custom-priced, starting around $3,900/yr per third-party trackers) is required for API access, SSO, and managed Salesforce integration.", "revops_role": "Proposal/e-signature layer, a direct competitor to PandaDoc/GetAccept/Qwilr with one of the more clearly tiered (if not cheap) API-access gates in this file.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.proposify.com/pricing, https://verdocs.com/blog/proposify-pricing, https://alexberman.com/proposify-pricing", "notes": "No MCP reference found anywhere in this research.", "mcp_status_bucket": "none-found", "api_gate_bucket": "paid", "mcp_urls": [], "source_urls": [ "https://www.proposify.com/pricing", "https://verdocs.com/blog/proposify-pricing", "https://alexberman.com/proposify-pricing" ], "source_annotations": [], "vendor_domain": "proposify.com", "display_name": "Proposify", "docs_url": null, "jobs": [ "generate-proposal-or-quote", "send-document-for-signature" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "13-proposify", "also_listed_in": [], "source_file": "13-proposals-deals.md", "source_line": 109, "file_index": 5, "category_num": "13", "category_slug": "proposals-deals", "category_label": "Proposals & Deals", "heading": "Proposify", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 205 }, { "id": "13-qwilr", "slug": "qwilr", "normalized_name": "qwilr", "name": "Qwilr", "vendor_url": "qwilr.com", "category": "proposals-deals", "what_it_does": "Interactive, web-page-style proposal and quote builder with embedded pricing tables and e-signature, aimed at replacing static PDF proposals.", "ai_features": "No independently verified AI/ML claims found on public pages beyond general \"AI-assisted\" content-drafting framing common to the category; not confirmed in depth.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "paid. API automation is available on paid plans (not free), with document-creation-via-API priced in bundles (e.g., 250 docs at $2/doc, up to 2,000 docs at $1.60/doc) on top of Growth/Scale plan pricing; no self-serve rate card for the base subscription — sales-quote-based per most third-party trackers.", "revops_role": "Interactive proposal/quote layer, positioned as a Proposify/PandaDoc competitor with a stronger design/interactivity angle.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://qwilr.com/pricing/, https://www.xpay.sh/saas-pricing/qwilr/, https://www.vendr.com/marketplace/qwilr", "notes": "No native Qwilr MCP server found; reachable only indirectly through third-party automation platforms like Zapier or Pipedream, which is not the same as a vendor-built MCP server and does not qualify for mcp_status official or community per this directory's sourcing standard.", "mcp_status_bucket": "none-found", "api_gate_bucket": "paid", "mcp_urls": [], "source_urls": [ "https://qwilr.com/pricing/", "https://www.xpay.sh/saas-pricing/qwilr/", "https://www.vendr.com/marketplace/qwilr" ], "source_annotations": [], "vendor_domain": "qwilr.com", "display_name": "Qwilr", "docs_url": null, "jobs": [ "generate-proposal-or-quote", "send-document-for-signature" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "13-qwilr", "also_listed_in": [], "source_file": "13-proposals-deals.md", "source_line": 52, "file_index": 2, "category_num": "13", "category_slug": "proposals-deals", "category_label": "Proposals & Deals", "heading": "Qwilr", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 207 }, { "id": "13-recapped-io", "slug": "recapped-io", "normalized_name": "recapped io", "name": "Recapped.io", "vendor_url": "recapped.io", "category": "proposals-deals", "what_it_does": "Digital sales room and customer-onboarding collaboration platform for tracking mutual action plans, content sharing, and buyer engagement through the deal and post-sale handoff.", "ai_features": "Markets itself as \"AI-Powered\" on its homepage; no specific AI/ML methodology or feature was independently verified in the pages reviewed.", "mcp_status": "none-found", "mcp_url": "n/a", "mcp_auth": "n/a", "api_gate": "free (limited). A permanent free plan exists (1 user, unlimited Deal Rooms, content embedding, basic buyer tracking); paid plans start at $55/mo. No API or MCP pricing/documentation was found — the free tier appears to be genuinely usable standalone, but with no developer/API access identified.", "revops_role": "Digital sales room / mutual-action-plan layer, a lighter-weight, freemium alternative to Trumpet or Aligned for deal-stage buyer collaboration.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.recapped.io/, https://www.recapped.io/pricing, https://coldiq.com/tools/recappedio, https://www.g2.com/products/recapped-io/pricing", "notes": "No MCP or API reference found anywhere in this research — a real gap relative to its closest competitor Trumpet, which shipped a free-tier MCP server.", "mcp_status_bucket": "none-found", "api_gate_bucket": "free", "mcp_urls": [], "source_urls": [ "https://www.recapped.io/", "https://www.recapped.io/pricing", "https://coldiq.com/tools/recappedio", "https://www.g2.com/products/recapped-io/pricing" ], "source_annotations": [], "vendor_domain": "recapped.io", "display_name": "Recapped.io", "docs_url": null, "jobs": [ "create-digital-sales-room" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "13-recapped-io", "also_listed_in": [], "source_file": "13-proposals-deals.md", "source_line": 242, "file_index": 12, "category_num": "13", "category_slug": "proposals-deals", "category_label": "Proposals & Deals", "heading": "Recapped.io", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 182 }, { "id": "13-responsive", "slug": "responsive", "normalized_name": "responsive", "name": "Responsive (formerly RFPIO)", "vendor_url": "responsive.io", "category": "proposals-deals", "what_it_does": "RFP, DDQ, and security-questionnaire response-management platform with an approved-content library (\"Library\") and AI-assisted drafting grounded in that governed content.", "ai_features": "MCP server explicitly grounds AI-generated draft responses in Responsive's approved Library content (with provenance/review metadata) rather than open generation — a genuinely governance-aware design distinct from a plain chatbot wrapper, though how the underlying retrieval/ranking works is not disclosed.", "mcp_status": "official", "mcp_url": "https://www.responsive.io/capability/mcp-server ; help docs: https://help.responsive.io/en-US/responsive/article/duV3ckq5-using-responsive-mcp-server-with-generative-ai-tools ; Microsoft connector listing: https://learn.microsoft.com/en-us/connectors/responsivemcp/", "mcp_auth": "unknown — not detailed in the sources reviewed.", "api_gate": "paid, separately metered from the core platform. Responsive's main platform is fully sales-led/custom-quote (four plans: Lite, Emerging, Growth, Enterprise; average reported spend ~$13,955/yr per third-party trackers, no public rate card). The MCP product itself has transparent usage pricing: $50/month plus $5 per 100 AI-generated answers.", "revops_role": "RFP/DDQ response layer for AI-agent workflows, notable for a rare, genuinely transparent usage-based MCP price sitting on top of an otherwise fully opaque enterprise platform.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.responsive.io/capability/mcp-server, https://help.responsive.io/en-US/responsive/article/duV3ckq5-using-responsive-mcp-server-with-generative-ai-tools, https://autorfp.ai/blog/responsive-rfpio-pricing, https://tribble.ai/blog/responsive-rfpio-review-pricing-features-limitations-2026/", "notes": "Verify current URL/branding before publishing — Responsive was formerly RFPIO; responsive.io is the confirmed current primary domain used in official MCP docs.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://www.responsive.io/capability/mcp-server", "https://help.responsive.io/en-US/responsive/article/duV3ckq5-using-responsive-mcp-server-with-generative-ai-tools", "https://learn.microsoft.com/en-us/connectors/responsivemcp/" ], "source_urls": [ "https://www.responsive.io/capability/mcp-server", "https://help.responsive.io/en-US/responsive/article/duV3ckq5-using-responsive-mcp-server-with-generative-ai-tools", "https://autorfp.ai/blog/responsive-rfpio-pricing", "https://tribble.ai/blog/responsive-rfpio-review-pricing-features-limitations-2026/" ], "source_annotations": [], "vendor_domain": "responsive.io", "display_name": "Responsive (formerly RFPIO)", "docs_url": null, "jobs": [ "draft-rfp-response" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "13-responsive", "also_listed_in": [], "source_file": "13-proposals-deals.md", "source_line": 147, "file_index": 7, "category_num": "13", "category_slug": "proposals-deals", "category_label": "Proposals & Deals", "heading": "Responsive (formerly RFPIO)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 86 }, { "id": "13-trumpet", "slug": "trumpet", "normalized_name": "trumpet", "name": "Trumpet (sendtrumpet.com)", "vendor_url": "sendtrumpet.com", "category": "proposals-deals", "what_it_does": "Digital sales room / \"Pod\" builder for buyer-facing deal collateral, tracking granular buyer engagement (clicks, time-on-page, returning champions) across the deal cycle.", "ai_features": "No independently verified core-product AI/ML claims beyond engagement tracking (which is instrumentation, not AI); the MCP server itself is the standout AI-facing feature, explicitly marketed for \"surfacing signals\" and \"diagnosing deal risk\" from an AI client.", "mcp_status": "official", "mcp_url": "https://www.sendtrumpet.com/blog-posts/introducing-trumpet-mcp", "mcp_auth": "unknown — vendor states it is \"installable in five minutes with no engineering required,\" implying a simple hosted-connector flow, but the specific auth mechanism (OAuth vs. key) isn't detailed in the announcement.", "api_gate": "free (generous). Trumpet is free to get started for everyone with no credit card required; paid plans start at £29/month, with Enterprise custom. The MCP server works across the free tier per the announcement, not gated to a paid plan.", "revops_role": "Buyer-engagement / digital-sales-room signal layer, notable as one of the few tools in this file with both a real free tier AND a free-tier-accessible official MCP server.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.sendtrumpet.com/blog-posts/introducing-trumpet-mcp, https://www.sendtrumpet.com/pricing, https://www.sendtrumpet.com/blog-posts/best-mcp-servers-for-sales-teams-2026", "notes": "Trumpet also publishes its own \"10 Best MCP Servers for Sales Teams\" roundup — a secondary source worth cross-checking against this directory's own findings in a future pass, since it's a competitor's self-interested list, not neutral.", "mcp_status_bucket": "official", "api_gate_bucket": "free", "mcp_urls": [ "https://www.sendtrumpet.com/blog-posts/introducing-trumpet-mcp" ], "source_urls": [ "https://www.sendtrumpet.com/blog-posts/introducing-trumpet-mcp", "https://www.sendtrumpet.com/pricing", "https://www.sendtrumpet.com/blog-posts/best-mcp-servers-for-sales-teams-2026" ], "source_annotations": [], "vendor_domain": "sendtrumpet.com", "display_name": "Trumpet (sendtrumpet.com)", "docs_url": null, "jobs": [ "create-and-send-prospecting-video", "read-outreach-performance", "create-digital-sales-room" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "13-trumpet", "also_listed_in": [ { "id": "08-trumpet", "name": "Trumpet", "category_num": "08", "category_slug": "video-prospecting", "source_file": "08-video-prospecting.md", "canonical": false } ], "source_file": "13-proposals-deals.md", "source_line": 223, "file_index": 11, "category_num": "13", "category_slug": "proposals-deals", "category_label": "Proposals & Deals", "heading": "Trumpet", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 36 }, { "id": "14-ada", "slug": "ada", "normalized_name": "ada", "name": "Ada", "vendor_url": "ada.cx", "category": "inbound-plg-chat", "what_it_does": "Enterprise AI customer-experience platform (voice, chat, email) that automates inbound support and sales conversations end-to-end.", "ai_features": "Vendor claims multi-LLM orchestration, generative AI for complex resolution, and \"Playbooks\" for automating SOPs with agentic AI, citing an 84% automated resolution rate and 357% ROI — all vendor-stated figures, not independently verified.", "mcp_status": "official (docs-only)", "mcp_url": "https://docs.ada.cx/_mcp/server", "mcp_auth": "none documented — connects over HTTP with no credential requirement described in the docs.", "api_gate": "unknown/enterprise-leaning. No self-serve pricing page was found; the site routes to \"Speak to an expert,\" consistent with enterprise-only sales.", "revops_role": "Enterprise inbound AI agent platform for CX teams; notable in this category for having a real but narrow MCP server.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.ada.cx, https://docs.ada.cx, https://docs.ada.cx/_mcp/server", "notes": "IMPORTANT CAVEAT — Ada's MCP server exposes exactly one tool (\"AI-powered search over the documentation\") and only lets an AI client search Ada's own help docs; it is not an MCP for querying or acting on a customer's live Ada account data (conversations, contacts, etc.). Listed as official because the URL is real and vendor-hosted, but do not conflate this with a full product-data MCP like Intercom's or Pylon's.", "mcp_status_bucket": "official", "api_gate_bucket": "unknown", "mcp_urls": [ "https://docs.ada.cx/_mcp/server" ], "source_urls": [ "https://www.ada.cx", "https://docs.ada.cx", "https://docs.ada.cx/_mcp/server" ], "source_annotations": [], "vendor_domain": "ada.cx", "display_name": "Ada", "docs_url": null, "jobs": [ "answer-inbound-chat" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "14-ada", "also_listed_in": [], "source_file": "14-inbound-plg-chat.md", "source_line": 65, "file_index": 3, "category_num": "14", "category_slug": "inbound-plg-chat", "category_label": "Inbound & PLG Chat", "heading": "Ada", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 125 }, { "id": "14-chatbase", "slug": "chatbase", "normalized_name": "chatbase", "name": "Chatbase", "vendor_url": "chatbase.co", "category": "inbound-plg-chat", "what_it_does": "No-code AI agent builder for deploying chat/voice/email support-and-sales bots across a website widget and channels like WhatsApp and Slack.", "ai_features": "Lets a builder pick from multiple underlying LLMs (Claude, Gemini, GPT, DeepSeek referenced on the site) and wire up \"Actions\" (order lookups, invoice retrieval, payment processing) plus a testing sandbox before going live — genuine AI-agent orchestration tooling, though conversation quality depends entirely on the connected model rather than a proprietary Chatbase model.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "paid (limited free tier). Free plan: $0/mo, 50 message credits, inactive agents deleted after 14 days, no API access. API access starts at the Standard tier ($150/mo); Hobby ($40/mo) does not include it.", "revops_role": "Solo-operator-friendly, self-serve chatbot-builder entry point into inbound AI chat — cheaper and more accessible than most enterprise tools in this category, at the cost of no proprietary conversation-intelligence layer.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.chatbase.co, https://www.chatbase.co/pricing, https://www.chatbase.co/docs", "notes": "Checked mcp.so, glama.ai, and PulseMCP directly for a Chatbase MCP server — PulseMCP returned zero results (\"Showing 0-0 of 0 servers\"). Domain is chatbase.co (not .com); no redirect was observed.", "mcp_status_bucket": "none-found", "api_gate_bucket": "paid", "mcp_urls": [], "source_urls": [ "https://www.chatbase.co", "https://www.chatbase.co/pricing", "https://www.chatbase.co/docs" ], "source_annotations": [], "vendor_domain": "chatbase.co", "display_name": "Chatbase", "docs_url": null, "jobs": [ "answer-inbound-chat" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "14-chatbase", "also_listed_in": [], "source_file": "14-inbound-plg-chat.md", "source_line": 84, "file_index": 4, "category_num": "14", "category_slug": "inbound-plg-chat", "category_label": "Inbound & PLG Chat", "heading": "Chatbase", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 188 }, { "id": "14-chili-piper", "slug": "chili-piper", "normalized_name": "chili piper", "name": "Chili Piper", "vendor_url": "chilipiper.com", "category": "inbound-plg-chat", "what_it_does": "Inbound lead routing and meeting-scheduling platform — converts web-form submissions and inbound leads into booked meetings in seconds, with rep-availability and fairness-rule logic.", "ai_features": "\"Chat AI\" qualifies visitors, answers questions, and books meetings 24/7; AI agents score ICP fit and check territory/account ownership to make real-time routing decisions; \"Chili Assist\" lets users write routing rules in plain English — all vendor-described, not independently verified.", "mcp_status": "official", "mcp_url": "https://www.chilipiper.com/products/mcp (endpoint: https://fire.chilipiper.com/api/fire-edge/v1/org/mcp, HTTP transport; setup README: https://github.com/Chili-Piper/mcp-assets/blob/main/mcp-servers/chili-piper/README.md; registry listing: https://www.pulsemcp.com/servers/chili-piper, server id com.chilipiper/mcp)", "mcp_auth": "Two supported paths, both vendor-documented. Option A (vendor-recommended): a Chili Piper Edge API key, generated by an admin in Command Center and passed as \"Authorization: Bearer \", usable by non-admins and scopable per permission (api.ping, meeting.read, concierge.read, availability.read, handoff.schedule, user.read, workspace.read, team.read, rule.read). Option B: browser OAuth login, admin role required. PulseMCP lists only OAuth; the vendor marketing page lists only the API key. Neither source is wrong, each is partial.", "api_gate": "paid - PulseMCP's listing explicitly notes the server is a \"paid service (no free tier available)\"; MCP/programmatic scheduling ships in the Routing & Scheduling tier and above.", "revops_role": "Inbound routing/scheduling layer sitting directly between a chat/form qualification tool and the calendar, a natural adjacent tool to the AI-chat products in this category.", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://www.chilipiper.com, https://www.chilipiper.com/products/mcp, https://github.com/Chili-Piper/mcp-assets, https://www.pulsemcp.com/servers/chili-piper", "notes": "DEFECT FIXED 2026-08-25. This entry previously recorded \"OAuth flow to connect, no manual API key setup,\" which is incomplete: the vendor's own setup README documents an API key path as the recommended option alongside OAuth. It also carried a different mcp_url from the canonical entry in 10-scheduling-routing.md. Both entries now carry identical reconciled fields. Canonical home for Chili Piper is 10-scheduling-routing.md per INDEX.md; fact fixes land there first. Released relatively recently (PulseMCP lists a May 8, 2026 release date) and lightly trafficked (~24 estimated weekly visitors per PulseMCP at time of check), worth re-checking maturity before a bench test.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://www.chilipiper.com/products/mcp", "https://fire.chilipiper.com/api/fire-edge/v1/org/mcp", "https://github.com/Chili-Piper/mcp-assets/blob/main/mcp-servers/chili-piper/README.md", "https://www.pulsemcp.com/servers/chili-piper" ], "source_urls": [ "https://www.chilipiper.com", "https://www.chilipiper.com/products/mcp", "https://github.com/Chili-Piper/mcp-assets", "https://www.pulsemcp.com/servers/chili-piper" ], "source_annotations": [], "vendor_domain": "chilipiper.com", "display_name": "Chili Piper", "docs_url": "https://help.chilipiper.com/hc/en-us/sections/4413992727699-API-References-Edge-API", "jobs": [ "book-a-meeting", "read-calendar-availability", "answer-inbound-chat", "route-inbound-lead", "score-and-prioritize-leads" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/Chili-Piper/mcp-assets/blob/main/mcp-servers/chili-piper/README.md", "https://github.com/Chili-Piper/mcp-assets" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": false, "canonical_id": "10-chili-piper", "also_listed_in": [ { "id": "10-chili-piper", "name": "Chili Piper", "category_num": "10", "category_slug": "scheduling-routing", "source_file": "10-scheduling-routing.md", "canonical": true } ], "source_file": "14-inbound-plg-chat.md", "source_line": 198, "file_index": 10, "category_num": "14", "category_slug": "inbound-plg-chat", "category_label": "Inbound & PLG Chat", "heading": "Chili Piper", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 52 }, { "id": "14-correlated", "slug": "correlated", "normalized_name": "correlated", "name": "Correlated", "vendor_url": "correlated.ai (domain no longer resolves to the original product)", "category": "inbound-plg-chat", "what_it_does": "unknown in current form — per the seed list and general market classification, Correlated was a product-usage/PLG-signal tool for identifying product-qualified leads (PQLs); this description could not be re-verified against a live company source in this research pass (see notes).", "ai_features": "unknown — no current product surface exists to evaluate.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "n/a", "revops_role": "n/a today — historically would have sat in the same PLG-signal-to-sales niche as Pocus and Toplyne.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://correlated.ai, http://archive.org/wayback/available?url=correlated.ai×tamp=20240101", "notes": "STATUS FLAG — CONFIRMED DEAD. correlated.ai now 302-redirects to atom.com/name/Correlated.AI, a domain-marketplace/broker listing page — a strong signal the domain has lapsed and is being resold, not merely parked by the original owner. The Wayback Machine's own availability API confirms a live snapshot existed as of July 4, 2024, so the product was operating at least into mid-2024; no snapshot near the current date was found. Could not independently re-confirm what the product did beyond the seed list's own description — treat that description as unverified in this pass.", "mcp_status_bucket": "none-found", "api_gate_bucket": "n-a", "mcp_urls": [], "source_urls": [ "https://correlated.ai", "http://archive.org/wayback/available?url=correlated.ai×tamp=20240101" ], "source_annotations": [], "vendor_domain": "correlated.ai", "display_name": "Correlated", "docs_url": null, "jobs": [], "jobs_tagged_by": null, "jobs_tagged_on": null, "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "14-correlated", "also_listed_in": [], "source_file": "14-inbound-plg-chat.md", "source_line": 141, "file_index": 7, "category_num": "14", "category_slug": "inbound-plg-chat", "category_label": "Inbound & PLG Chat", "heading": "Correlated", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 288 }, { "id": "14-drift", "slug": "drift", "normalized_name": "drift", "name": "Drift", "vendor_url": "drift.com (302-redirects to salesloft.com/platform/drift)", "category": "inbound-plg-chat", "what_it_does": "Conversational-marketing/chat platform (real-time website visitor engagement, lead qualification, meeting booking) that pioneered the \"buyer-intent chatbot\" category before being acquired.", "ai_features": "Historical Drift AI included conversational bots and intent scoring. Under Salesloft, the live product page states Salesloft has \"transitioned from Drift to 1mind\" for the underlying conversational-AI engine, with 1mind now feeding buyer signals into Salesloft's Predictive Revenue System — meaning the AI substance today reportedly comes from a different vendor (1mind), not Drift's original technology. Not independently verified beyond that one vendor page.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "unknown. No self-serve pricing or API docs were found; the current page routes only to \"Talk to Sales\" / \"Tour Our Platform.\"", "revops_role": "Legacy inbound-chat brand, now folded into Salesloft's revenue-orchestration platform rather than sold as a standalone product.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.drift.com, https://www.salesloft.com/platform/drift", "notes": "STATUS FLAG. Drift was acquired by Salesloft; as of this research pass, drift.com 302-redirects straight to salesloft.com/platform/drift, and that page itself states the conversational-AI engine has moved from Drift to a third party (\"1mind\") — i.e., the original Drift product appears to be sunset in favor of a partner integration, not merely rebranded. Worth re-verifying before citing Drift as a live, buyable product in its own right.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://www.drift.com", "https://www.salesloft.com/platform/drift" ], "source_annotations": [], "vendor_domain": "drift.com", "display_name": "Drift", "docs_url": null, "jobs": [], "jobs_tagged_by": null, "jobs_tagged_on": null, "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "14-drift", "also_listed_in": [], "source_file": "14-inbound-plg-chat.md", "source_line": 27, "file_index": 1, "category_num": "14", "category_slug": "inbound-plg-chat", "category_label": "Inbound & PLG Chat", "heading": "Drift", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 245 }, { "id": "14-endgame", "slug": "endgame", "normalized_name": "endgame", "name": "Endgame", "vendor_url": "endgame.io", "category": "inbound-plg-chat", "what_it_does": "A GTM \"context graph\" platform that ingests calls, deals, emails, and documents into a queryable knowledge base for AI agents and reps — positioned today as broader account/revenue-intelligence infrastructure, not narrowly a PLG-product-signal tool.", "ai_features": "Combines a knowledge graph with cited, source-linked answers (\"140x faster,\" \"98% accuracy,\" \"113,000+ answers\" — vendor-stated, not independently verified) and an official MCP server exposing structured entity, people, facts/evidence, account-ownership, and org-policy data to AI assistants.", "mcp_status": "official", "mcp_url": "https://docs.endgame.io/features/mcp-server (endpoint https://app.endgame.io/api/v1/mcp)", "mcp_auth": "OAuth (browser-based) for individual users via Claude/ChatGPT/Claude Code/Codex connectors; Bearer-token service-account API keys (issued at app.endgame.io/settings/api-keys) for managed/agent use.", "api_gate": "unknown/mixed. A self-serve \"/signup\" flow exists alongside \"Get a demo\" CTAs, and the docs note \"rate limits ... may vary depending on your plan\" without publishing any plan or pricing details — could not confirm whether MCP/API access is available below a paid or enterprise tier.", "revops_role": "Account-context and revenue-intelligence layer for AI agents, disambiguated here from the narrower PLG-signal companies (Pocus, Correlated, Toplyne) it was grouped with in early research framing.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://endgame.io, https://docs.endgame.io, https://docs.endgame.io/features/mcp-server", "notes": "DISAMBIGUATION — verified this is not an unrelated security- or gaming-branded \"Endgame\"; endgame.io's own case studies (Handle, Monte Carlo, BetterUp, Hex) and GTM-agent framing confirm it is a revenue-intelligence company. However, its current positioning (calls/deals/emails/documents -> context graph) reads as closer to conversation-intelligence/account-context than to a PLG product-usage-signal tool like Pocus/Correlated/Toplyne — the seed framing may reflect an earlier product stage; flagging for whoever updates this entry next.", "mcp_status_bucket": "official", "api_gate_bucket": "unknown", "mcp_urls": [ "https://docs.endgame.io/features/mcp-server", "https://app.endgame.io/api/v1/mcp" ], "source_urls": [ "https://endgame.io", "https://docs.endgame.io", "https://docs.endgame.io/features/mcp-server" ], "source_annotations": [], "vendor_domain": "endgame.io", "display_name": "Endgame", "docs_url": null, "jobs": [ "research-account-for-call-prep" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "14-endgame", "also_listed_in": [], "source_file": "14-inbound-plg-chat.md", "source_line": 122, "file_index": 6, "category_num": "14", "category_slug": "inbound-plg-chat", "category_label": "Inbound & PLG Chat", "heading": "Endgame", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 131 }, { "id": "14-forethought", "slug": "forethought", "normalized_name": "forethought", "name": "Forethought (now \"Forethought AI Agents by Zendesk\")", "vendor_url": "forethought.ai", "category": "inbound-plg-chat", "what_it_does": "Omnichannel AI agent (\"Solve\") that resolves customer support and pre-sales issues across chat, email, voice, and a headless API, trained on a company's past tickets and help-center content.", "ai_features": "Vendor describes \"agentic reasoning\" — the system reasons, decides, and takes action per configured business policies, aiming for end-to-end resolution rather than hand-off-only assistance; self-improvement claims from Zendesk's acquisition announcement were not independently verified.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "enterprise-only. No published pricing; the pricing page lists Team/Professional/Enterprise tiers all behind \"Get a Quote,\" and the FAQ states Forethought offers a \"Proof of Value (POV) instead of a traditional free trial.\"", "revops_role": "Enterprise inbound support-AI layer, now being integrated into Zendesk's broader Resolution Platform rather than sold as a fully independent product.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.forethought.ai, https://www.forethought.ai/pricing, https://www.zendesk.com/newsroom/press-releases/zendesk-completes-acquisition-of-forethought/", "notes": "STATUS FLAG — ACQUIRED. Zendesk announced intent to acquire Forethought on March 11, 2026 and completed the acquisition March 26, 2026. forethought.ai now carries a banner reading \"A new chapter begins: Forethought is now part of Zendesk,\" and Zendesk is rebranding the technology \"Forethought AI Agents by Zendesk\" for deployment across its own Resolution Platform. Checked PulseMCP for an MCP server — zero results.", "mcp_status_bucket": "none-found", "api_gate_bucket": "enterprise-only", "mcp_urls": [], "source_urls": [ "https://www.forethought.ai", "https://www.forethought.ai/pricing", "https://www.zendesk.com/newsroom/press-releases/zendesk-completes-acquisition-of-forethought/" ], "source_annotations": [], "vendor_domain": "forethought.ai", "display_name": "Forethought (now \"Forethought AI Agents by Zendesk\")", "docs_url": null, "jobs": [ "answer-inbound-chat" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "14-forethought", "also_listed_in": [], "source_file": "14-inbound-plg-chat.md", "source_line": 256, "file_index": 13, "category_num": "14", "category_slug": "inbound-plg-chat", "category_label": "Inbound & PLG Chat", "heading": "Forethought", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 218 }, { "id": "14-intercom", "slug": "intercom", "normalized_name": "intercom", "name": "Intercom (Fin)", "vendor_url": "intercom.com", "category": "inbound-plg-chat", "what_it_does": "Customer service/helpdesk platform whose \"Fin\" AI agent resolves support and pre-sales chat conversations autonomously across a website widget, email, and other channels.", "ai_features": "Fin is a genuine LLM-based conversational agent (originally built on OpenAI GPT-4, moved to Anthropic Claude for \"Fin 2\" in 2024) that can both answer questions and take actions on a customer's behalf. \"Fin Apex 1.0\" (March 2026) is described as a purpose-built, post-trained model for customer support, and \"Fin Operator\" (May 2026) is an agent that monitors and improves Fin's own performance — sourced from Wikipedia's company history rather than vendor copy alone, so more substantiated than most AI claims in this category, though still worth a second source.", "mcp_status": "official", "mcp_url": "https://mcp.intercom.com/mcp (EU: https://mcp.eu.intercom.com/mcp); listing: https://www.pulsemcp.com/servers/intercom", "mcp_auth": "OAuth (browser-based, recommended) or a Bearer token using an Intercom API token; Streamable HTTP transport, 13 exposed tools covering conversations, contacts, companies, and Help Center articles.", "api_gate": "paid — API/MCP access requires an Intercom account; specific plan-level gating for API access specifically was not confirmed in the sources reviewed.", "revops_role": "Inbound support-and-sales chat system of record, one of the more technically credible \"AI agent\" implementations in this category with a real, documented MCP server.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.intercom.com, https://en.wikipedia.org/wiki/Intercom_(company), https://developers.intercom.com/docs/guides/mcp, https://www.pulsemcp.com/servers/intercom, https://fin.ai", "notes": "STATUS FLAG — corporate identity is in flux and needs a second source. Per Wikipedia, Intercom Inc. formally renamed itself \"Fin\" in May 2026, and in June 2026 agreed to be acquired by Salesforce for roughly $3.6B (deal expected to close Q4 of Salesforce's FY2027) — this was sourced from a single tertiary reference in this pass and was not independently corroborated via a press release, so treat the acquisition specifics as unconfirmed pending a direct check. Consumer-facing branding (intercom.com, fin.ai) still presents \"Intercom\" as the helpdesk and \"Fin\" as its AI agent as of this research date, not yet reflecting a full rename.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://mcp.intercom.com/mcp", "https://mcp.eu.intercom.com/mcp", "https://www.pulsemcp.com/servers/intercom" ], "source_urls": [ "https://www.intercom.com", "https://en.wikipedia.org/wiki/Intercom_(company", "https://developers.intercom.com/docs/guides/mcp", "https://www.pulsemcp.com/servers/intercom", "https://fin.ai" ], "source_annotations": [], "vendor_domain": "intercom.com", "display_name": "Intercom (Fin)", "docs_url": null, "jobs": [ "answer-inbound-chat" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "14-intercom", "also_listed_in": [], "source_file": "14-inbound-plg-chat.md", "source_line": 46, "file_index": 2, "category_num": "14", "category_slug": "inbound-plg-chat", "category_label": "Inbound & PLG Chat", "heading": "Intercom (Fin)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 70 }, { "id": "14-landbot", "slug": "landbot", "normalized_name": "landbot", "name": "Landbot", "vendor_url": "landbot.io", "category": "inbound-plg-chat", "what_it_does": "No-code visual builder for chatbots deployed on websites, WhatsApp, and Messenger, blending rule-based flows with LLM-powered conversation.", "ai_features": "\"AI Agent Chatbots\" combine rule-based control with LLM conversation (connects to OpenAI and Google Gemini per the site); an \"AI Copilot\" gives in-context build guidance and can configure a flow from a plain-language use-case description — vendor-described, not independently verified.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "free (limited). Perpetual free tier (EUR0/mo, 100 chats/mo, full builder access, no card required); paid tiers from Starter (EUR32/mo) through Professional (EUR80-160/mo) add webhooks/API and premium CRM integrations (HubSpot, Salesforce, Pipedrive, Zoho); Business tier is custom/enterprise.", "revops_role": "Low-friction, self-serve entry point for building an AI-assisted inbound chat flow without an enterprise contract.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://landbot.io, https://landbot.io/pricing", "notes": "Checked PulseMCP directly — zero results for \"landbot,\" consistent with none-found.", "mcp_status_bucket": "none-found", "api_gate_bucket": "free", "mcp_urls": [], "source_urls": [ "https://landbot.io", "https://landbot.io/pricing" ], "source_annotations": [], "vendor_domain": "landbot.io", "display_name": "Landbot", "docs_url": null, "jobs": [ "answer-inbound-chat" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "14-landbot", "also_listed_in": [], "source_file": "14-inbound-plg-chat.md", "source_line": 218, "file_index": 11, "category_num": "14", "category_slug": "inbound-plg-chat", "category_label": "Inbound & PLG Chat", "heading": "Landbot", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 180 }, { "id": "14-pocus", "slug": "pocus", "normalized_name": "pocus", "name": "Pocus", "vendor_url": "pocus.com", "category": "inbound-plg-chat", "what_it_does": "Was a PLG/product-usage-signal platform — AI agents for account prioritization, an \"intelligent inbox\" for reps, and intent-signal enrichment aimed at turning free-trial/self-serve activity into sales-ready accounts.", "ai_features": "unknown/moot — product features could not be meaningfully evaluated post-acquisition; historical marketing described \"AI agents for account prioritization\" without independently verified methodology.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "n/a — no longer sold as a standalone product (see notes).", "revops_role": "Formerly a PLG-signal-to-sales bridge for product-led companies (customer references included Asana, Monday, Canva); now absorbed into a competitor.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://pocus.com", "notes": "STATUS FLAG — CONFIRMED ACQUIRED. Pocus.com's homepage carries a banner reading \"Thrilled to announce today, Pocus is joining Apollo\" — i.e., Pocus has been acquired by Apollo.io (the sales-intelligence platform), effective as of this research pass. Treat this as an absorbed product, not a live standalone purchase option; verify with Apollo directly for what, if anything, persists as a distinct feature.", "mcp_status_bucket": "none-found", "api_gate_bucket": "n-a", "mcp_urls": [], "source_urls": [ "https://pocus.com" ], "source_annotations": [], "vendor_domain": "pocus.com", "display_name": "Pocus", "docs_url": null, "jobs": [], "jobs_tagged_by": null, "jobs_tagged_on": null, "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "14-pocus", "also_listed_in": [], "source_file": "14-inbound-plg-chat.md", "source_line": 103, "file_index": 5, "category_num": "14", "category_slug": "inbound-plg-chat", "category_label": "Inbound & PLG Chat", "heading": "Pocus", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 290 }, { "id": "14-pylon", "slug": "pylon", "normalized_name": "pylon", "name": "Pylon", "vendor_url": "usepylon.com", "category": "inbound-plg-chat", "what_it_does": "\"Agentic\" B2B customer support platform (Slack, Teams, email, chat, SMS, WhatsApp, phone) where AI agents and humans jointly investigate, resolve, and act on support signals.", "ai_features": "Multiple purpose-built agents (Assist Agent for investigation/task delegation, Background Agent for automated skill execution, Slack Agent, Support Agent for automated resolution) plus reusable \"Skills\" — a genuinely agentic architecture per vendor description; depth not independently verified.", "mcp_status": "official", "mcp_url": "https://mcp.usepylon.com ; https://www.pulsemcp.com/servers/pylon (a separate community server by Justin Beckwith also exists)", "mcp_auth": "OAuth 2.0 over stateless streamable HTTP; access is permission-scoped so a connected AI tool can only see/change what the authenticated user could already see in the Pylon dashboard.", "api_gate": "unknown. No public pricing page was found; the pricing route is a demo-booking form (\"Schedule a personalized 30-minute demo\"), consistent with a sales-led model, but no explicit enterprise-only statement was found either.", "revops_role": "CATEGORY-FIT NOTE — Pylon is fundamentally a B2B support/ticketing platform, not an inbound-chat-qualification or PLG-signal tool. Included here because its AI agents work the same \"inbound signal -> route/resolve\" motion this category covers and it has one of the cleanest official MCP servers in the set; a future pass may be better served moving it to conversation-intel or a dedicated support-ops category if one is added.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://usepylon.com, https://usepylon.com/mcp, https://usepylon.com/pricing, https://www.pulsemcp.com/servers/pylon", "notes": "None.", "mcp_status_bucket": "official", "api_gate_bucket": "unknown", "mcp_urls": [ "https://mcp.usepylon.com", "https://www.pulsemcp.com/servers/pylon" ], "source_urls": [ "https://usepylon.com", "https://usepylon.com/mcp", "https://usepylon.com/pricing", "https://www.pulsemcp.com/servers/pylon" ], "source_annotations": [], "vendor_domain": "usepylon.com", "display_name": "Pylon", "docs_url": null, "jobs": [ "answer-inbound-chat" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "14-pylon", "also_listed_in": [], "source_file": "14-inbound-plg-chat.md", "source_line": 179, "file_index": 9, "category_num": "14", "category_slug": "inbound-plg-chat", "category_label": "Inbound & PLG Chat", "heading": "Pylon", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 137 }, { "id": "14-qualified", "slug": "qualified", "normalized_name": "qualified", "name": "Qualified", "vendor_url": "qualified.com", "category": "inbound-plg-chat", "what_it_does": "Website chat/pipeline-generation platform built for account-based and inbound motions — its \"Piper\" AI SDR agent engages known target-account visitors in real time, qualifies them, and books meetings, then follows up over email and Slack.", "ai_features": "Piper is marketed as a full AI SDR agent across five modules (Conversations, Email, Meetings, Offers, Slack) that holds live text/voice/video conversations with site visitors and personalizes outreach using CRM/intent data, plus an \"Agentic Product-Led Growth\" mode for converting free-trial users. All vendor-described; no independent verification of the underlying model or methodology was found.", "mcp_status": "none-found", "mcp_url": "none shipped. The vendor announced on 2026-07-15 that it is \"building a Qualified Model Context Protocol (MCP) client and server\" so Piper can communicate with other Agentforce agents, with an availability target of Q3 2026: https://www.qualified.com/plus/articles/qualified-agentforce-better-together. No endpoint, docs page, or registry listing exists as of 2026-08-25. Re-check this one.", "mcp_auth": "n/a", "api_gate": "enterprise-only. No public self-serve pricing exists: the pricing page lists three tiers (Premier, Enterprise, Ultimate), all gated behind \"Schedule a demo,\" and \"Enterprise-Grade APIs\" is explicitly reserved for the Enterprise tier and above. Third-party integration docs (Hightouch) confirm the practical gate, requiring an API key \"generated with access to the Enterprise bulk endpoints.\"", "revops_role": "ABM-aligned inbound chat/qualification layer, positioned as an AI SDR for known target accounts rather than a general-purpose support widget.", "tier": "RESEARCHED", "last_checked": "2026-08-25", "sources": "https://qualified.com/, https://qualified.com/pricing, https://qualified.com/api, https://www.qualified.com/plus/articles/qualified-agentforce-better-together, https://www.qualified.com/plus/articles/6-key-ways-to-use-the-qualified-reporting-api", "notes": "CANONICAL ENTRY for Qualified (per INDEX.md). The 04-ai-sdr-agents.md entry is a cross-reference pointer only; fact fixes land here first. Checked GitHub, mcp.so, glama.ai, and PulseMCP for a Qualified MCP server: the only near-match (a community \"Lead Qualifier\" server) is an unrelated third-party tool named for its generic function, not affiliated with Qualified.com, and is not counted as this vendor's MCP. An announced roadmap server is not a shipped server, so mcp_status stays none-found. Name-collision warning: docs.qualified.io (Qualified.io, a developer-assessment company) is a different company from qualified.com; several search engines conflate the two. The docs_url above is a JS-rendered app, so it does not fetch as static text, but it is the vendor's stated developer entry point.", "mcp_status_bucket": "none-found", "api_gate_bucket": "enterprise-only", "mcp_urls": [ "https://www.qualified.com/plus/articles/qualified-agentforce-better-together" ], "source_urls": [ "https://qualified.com/", "https://qualified.com/pricing", "https://qualified.com/api", "https://www.qualified.com/plus/articles/qualified-agentforce-better-together", "https://www.qualified.com/plus/articles/6-key-ways-to-use-the-qualified-reporting-api" ], "source_annotations": [], "vendor_domain": "qualified.com", "display_name": "Qualified", "docs_url": "https://www.qualified.com/api", "jobs": [ "run-email-sequence", "draft-personalized-outreach", "run-autonomous-sdr-agent", "book-a-meeting", "answer-inbound-chat", "score-and-prioritize-leads" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "14-qualified", "also_listed_in": [ { "id": "04-qualified", "name": "Qualified (Piper)", "category_num": "04", "category_slug": "ai-sdr-agents", "source_file": "04-ai-sdr-agents.md", "canonical": false } ], "source_file": "14-inbound-plg-chat.md", "source_line": 7, "file_index": 0, "category_num": "14", "category_slug": "inbound-plg-chat", "category_label": "Inbound & PLG Chat", "heading": "Qualified", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 225 }, { "id": "14-tidio", "slug": "tidio", "normalized_name": "tidio", "name": "Tidio", "vendor_url": "tidio.com", "category": "inbound-plg-chat", "what_it_does": "Customer-service platform combining live chat, a help desk, and an AI agent (\"Lyro\") that resolves routine support/sales questions automatically.", "ai_features": "Lyro AI Agent is marketed to resolve \"up to 90%\" of low-level questions with an \"80% resolution rate across 10,000 chats a month,\" answering in the brand's voice with context awareness — vendor-stated figures, not independently verified.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "free (limited). Self-serve, no-card-required free tier exists; a \"Premium Plan\" and enterprise options are directed to sales for pricing.", "revops_role": "Widely deployed (300,000+ businesses per vendor) SMB-friendly inbound chat/support layer.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.tidio.com", "notes": "Tidio's own marketing copy lists \"REST APIs, webhooks, JS actions, or Model Context Protocol (MCP)\" as supported integration methods, but no dedicated MCP docs page, repo, or listing could be located on tidio.com, PulseMCP, mcp.so, or glama.ai during this research pass — per this directory's law that an MCP claim requires a URL in hand, this is logged as none-found rather than official/community despite the vendor's own claim. Re-check before the next pass.", "mcp_status_bucket": "none-found", "api_gate_bucket": "free", "mcp_urls": [], "source_urls": [ "https://www.tidio.com" ], "source_annotations": [], "vendor_domain": "tidio.com", "display_name": "Tidio", "docs_url": null, "jobs": [ "answer-inbound-chat" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "14-tidio", "also_listed_in": [], "source_file": "14-inbound-plg-chat.md", "source_line": 237, "file_index": 12, "category_num": "14", "category_slug": "inbound-plg-chat", "category_label": "Inbound & PLG Chat", "heading": "Tidio", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 183 }, { "id": "14-toplyne", "slug": "toplyne", "normalized_name": "toplyne", "name": "Toplyne", "vendor_url": "toplyne.io (returns HTTP 404 as of this research)", "category": "inbound-plg-chat", "what_it_does": "unknown in current form — per the seed list and general market classification, Toplyne provided product-qualified-lead (PQL) scoring for PLG companies; this description could not be re-verified against a live company source in this research pass (see notes).", "ai_features": "unknown — no current product surface exists to evaluate.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "n/a", "revops_role": "n/a today — historically occupied the same PQL-scoring niche as Correlated.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://toplyne.io, http://archive.org/wayback/available?url=toplyne.io×tamp=20250101, http://archive.org/wayback/available?url=toplyne.io×tamp=20260801", "notes": "STATUS FLAG — LIKELY DEAD, not fully confirmed. toplyne.io returns a direct HTTP 404 (not a DNS failure or parked-domain page) as of 2026-08-24. The Wayback Machine confirms a live, HTTP-200 snapshot as recently as November 24, 2024, but no snapshot close to August 2026 exists, and no acquisition announcement, press release, or successor URL could be located in this pass. A generic web search for \"Toplyne\" also collides with an unrelated Brazilian mining company of the same name on LinkedIn — do not conflate the two. Recommend a direct re-check (correct-entity LinkedIn page, Crunchbase) before the next directory pass.", "mcp_status_bucket": "none-found", "api_gate_bucket": "n-a", "mcp_urls": [], "source_urls": [ "https://toplyne.io", "http://archive.org/wayback/available?url=toplyne.io×tamp=20250101", "http://archive.org/wayback/available?url=toplyne.io×tamp=20260801" ], "source_annotations": [], "vendor_domain": "toplyne.io", "display_name": "Toplyne", "docs_url": null, "jobs": [], "jobs_tagged_by": null, "jobs_tagged_on": null, "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "14-toplyne", "also_listed_in": [], "source_file": "14-inbound-plg-chat.md", "source_line": 160, "file_index": 8, "category_num": "14", "category_slug": "inbound-plg-chat", "category_label": "Inbound & PLG Chat", "heading": "Toplyne", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 291 }, { "id": "14-ultimate-ai", "slug": "ultimate-ai", "normalized_name": "ultimate ai", "name": "Ultimate.ai (Ultimate)", "vendor_url": "getultimate.ai (domain no longer resolves)", "category": "inbound-plg-chat", "what_it_does": "unknown in current standalone form — was an AI customer-service-automation platform (chatbot/agent resolving support tickets) before being acquired; the product's functionality reportedly continues inside Zendesk's own AI Agents line rather than as an independent Ultimate-branded product.", "ai_features": "unknown — no live standalone product surface exists to evaluate in this pass.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "n/a — not sold as a standalone product.", "revops_role": "n/a today — historically an AI support-automation layer, now presumed folded into Zendesk's AI Agents.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.zendesk.com/newsroom/press-releases/ (press release \"Zendesk to Acquire Ultimate,\" dated March 13, 2024, referenced via the newsroom listing)", "notes": "STATUS FLAG — CONFIRMED ACQUIRED, integration outcome not independently confirmed beyond the announcement. Zendesk's own newsroom lists a March 13, 2024 press release titled \"Zendesk to Acquire Ultimate.\" The historical getultimate.ai domain no longer resolves (DNS lookup failure) as of this research pass, consistent with the product being folded into Zendesk rather than sold separately, but the exact current state of the technology inside Zendesk's product line was not independently confirmed beyond the acquisition announcement itself.", "mcp_status_bucket": "none-found", "api_gate_bucket": "n-a", "mcp_urls": [], "source_urls": [ "https://www.zendesk.com/newsroom/press-releases/" ], "source_annotations": [ "press release \"Zendesk to Acquire Ultimate", "\" dated March 13", "2024", "referenced via the newsroom listing" ], "vendor_domain": "getultimate.ai", "display_name": "Ultimate.ai (Ultimate)", "docs_url": null, "jobs": [], "jobs_tagged_by": null, "jobs_tagged_on": null, "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "14-ultimate-ai", "also_listed_in": [], "source_file": "14-inbound-plg-chat.md", "source_line": 275, "file_index": 14, "category_num": "14", "category_slug": "inbound-plg-chat", "category_label": "Inbound & PLG Chat", "heading": "Ultimate.ai", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 292 }, { "id": "15-bevy", "slug": "bevy", "normalized_name": "bevy", "name": "Bevy", "vendor_url": "https://www.bevy.com", "category": "community-dark-social", "what_it_does": "Community-event platform for running in-person and virtual community programs at scale (chapter-based meetups, forums, gamification), used by enterprise brands to formalize community-led-growth events.", "ai_features": "Markets an \"Engagement Agent Hub\" (AI-powered community-interaction command center with \"Intros AI\" matchmaking), a \"Community Knowledge Agent,\" and a \"Gamification Agent\" for automated reward systems — all vendor-described on the homepage, not independently verified.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "enterprise-only (inferred) — no public self-serve pricing; the pricing page is a \"pricing calculator\" reachable only through a \"Book a Demo\" flow, with add-ons (integrations, SSO, AI features) bundled into a custom quote.", "revops_role": "Community-event infrastructure layer — less a signal-detection tool than most of this file, but relevant because event/chapter activity is itself a dark-social engagement signal worth tracking.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.bevy.com, http://bevy.com/b/pricing", "notes": "Checked github.com, PulseMCP, and bevy.com directly for API/MCP — none found for the community-events Bevy. One PulseMCP hit for \"bevy\" (aojiaoxiaolinlin/bevy-docs) is an unrelated name collision — it indexes the Bevy Rust game engine's documentation and has no connection to bevy.com.", "mcp_status_bucket": "none-found", "api_gate_bucket": "enterprise-only", "mcp_urls": [], "source_urls": [ "https://www.bevy.com", "http://bevy.com/b/pricing" ], "source_annotations": [], "vendor_domain": "bevy.com", "display_name": "Bevy", "docs_url": null, "jobs": [], "jobs_tagged_by": null, "jobs_tagged_on": null, "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "15-bevy", "also_listed_in": [], "source_file": "15-community-dark-social.md", "source_line": 254, "file_index": 13, "category_num": "15", "category_slug": "community-dark-social", "category_label": "Community & Dark Social", "heading": "Bevy", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 212 }, { "id": "15-brand24", "slug": "brand24", "normalized_name": "brand24", "name": "Brand24", "vendor_url": "https://brand24.com", "category": "community-dark-social", "what_it_does": "Tracks brand/keyword mentions across social media, news, blogs, forums, podcasts, and review sites, then scores sentiment and surfaces coverage spikes and influencer reach.", "ai_features": "\"AI Insights\" (recommendations), \"AI Topics\" (trend identification), \"Events Detection\" (spike recognition), and a newer \"AI Visibility module\" tracking brand representation inside AI platforms — all vendor-described; sentiment scoring itself is a long-standing, largely rules/ML-hybrid capability across this whole category, not a novel claim specific to Brand24.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "paid, and gated further — API access is a flat \"extra fee\" of $99 layered on top of any paid plan (Individual $199/mo up to Business $699/mo, Enterprise from $1,499/yr custom); there is no free API tier.", "revops_role": "Mid-market social-listening layer positioned below Brandwatch/Meltwater on price, feeding brand-mention and sentiment data into marketing/comms workflows.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://brand24.com/pricing/", "notes": "Checked GitHub and PulseMCP for \"brand24\" — no MCP server found under either official or community listings.", "mcp_status_bucket": "none-found", "api_gate_bucket": "paid", "mcp_urls": [], "source_urls": [ "https://brand24.com/pricing/" ], "source_annotations": [], "vendor_domain": "brand24.com", "display_name": "Brand24", "docs_url": null, "jobs": [ "monitor-social-mentions" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "15-brand24", "also_listed_in": [], "source_file": "15-community-dark-social.md", "source_line": 140, "file_index": 7, "category_num": "15", "category_slug": "community-dark-social", "category_label": "Community & Dark Social", "heading": "Brand24", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 186 }, { "id": "15-brandwatch", "slug": "brandwatch", "normalized_name": "brandwatch", "name": "Brandwatch", "vendor_url": "https://www.brandwatch.com", "category": "community-dark-social", "what_it_does": "Enterprise consumer-intelligence and social-listening suite spanning social media management, influencer marketing, search/GenAI-mention monitoring, and analyst-backed media intelligence.", "ai_features": "Branded \"Iris AI\" — vendor markets it as \"advanced proprietary and generative AI\" for trend discovery and decision-making; no methodology disclosed publicly, so treat as an unverified vendor claim, consistent with this directory's general skepticism toward suite-wide \"AI\" branding.", "mcp_status": "community", "mcp_url": "https://github.com/ambo-sk/mcp-brandwatch", "mcp_auth": "unknown — the third-party server's description states it interfaces with \"the Brandwatch Consumer Research, Data Upload and Analysis APIs,\" hosted on Cloudflare Workers; specific auth handling was not confirmed from the repo listing alone.", "api_gate": "enterprise-only (inferred) — no public self-serve pricing; the site routes only to \"Book a meeting\" / demo requests.", "revops_role": "Enterprise-tier consumer/social intelligence, the closest peer to Meltwater/Talkwalker in this file, now with an unofficial but real community MCP bridge.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.brandwatch.com, https://github.com/ambo-sk/mcp-brandwatch", "notes": "The community MCP server is third-party (author ambo-sk, no visible Brandwatch affiliation in available metadata) and quite new (~20 days old as of this research) — worth a follow-up check on maintenance/reliability before recommending it in a live segment.", "mcp_status_bucket": "community", "api_gate_bucket": "enterprise-only", "mcp_urls": [ "https://github.com/ambo-sk/mcp-brandwatch" ], "source_urls": [ "https://www.brandwatch.com", "https://github.com/ambo-sk/mcp-brandwatch" ], "source_annotations": [], "vendor_domain": "brandwatch.com", "display_name": "Brandwatch", "docs_url": null, "jobs": [ "monitor-social-mentions" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/ambo-sk/mcp-brandwatch", "https://github.com/ambo-sk/mcp-brandwatch" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "15-brandwatch", "also_listed_in": [], "source_file": "15-community-dark-social.md", "source_line": 178, "file_index": 9, "category_num": "15", "category_slug": "community-dark-social", "category_label": "Community & Dark Social", "heading": "Brandwatch", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 159 }, { "id": "15-buzzsumo", "slug": "buzzsumo", "normalized_name": "buzzsumo", "name": "BuzzSumo", "vendor_url": "https://buzzsumo.com", "category": "community-dark-social", "what_it_does": "Researches top-performing content and social engagement by topic, tracks brand/competitor mentions, and surfaces influencers, built on a large historical index of article and social-share data.", "ai_features": "\"Content Ideas Generator\" and \"Brief Generator\" synthesize headlines/keywords/SERP data into content-ideation output — this reads as research aggregation surfaced through a generation UI, not a confirmed proprietary trained model; treat the \"AI\" framing skeptically.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "paid, quote-only — an Account API (Alerts/Projects) and a Search API exist, but both are \"not tied to specific pricing tiers\" and require contacting sales for arrangement/pricing, on top of already-paid subscription tiers running $199-$999/mo.", "revops_role": "Content/engagement research and influencer-discovery layer — more content-marketing-adjacent than a pure dark-social signal tool, but relevant to GTM engineers building content-driven outbound triggers.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://buzzsumo.com/pricing/", "notes": "Checked GitHub and PulseMCP for \"buzzsumo\" — no MCP server found under either official or community listings. API pricing being separately quote-gated on top of an already-paid subscription is a meaningfully worse access story than most tools in this file.", "mcp_status_bucket": "none-found", "api_gate_bucket": "paid", "mcp_urls": [], "source_urls": [ "https://buzzsumo.com/pricing/" ], "source_annotations": [], "vendor_domain": "buzzsumo.com", "display_name": "BuzzSumo", "docs_url": null, "jobs": [ "monitor-social-mentions" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "15-buzzsumo", "also_listed_in": [], "source_file": "15-community-dark-social.md", "source_line": 159, "file_index": 8, "category_num": "15", "category_slug": "community-dark-social", "category_label": "Community & Dark Social", "heading": "Buzzsumo", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 187 }, { "id": "15-champion", "slug": "champion", "normalized_name": "champion", "name": "Champion", "vendor_url": "https://championhq.com", "category": "community-dark-social", "what_it_does": "Identifies and scores which existing customers are most engaged or most at risk, builds rich profiles of their expertise/preferences, and matches them to sales/CS deal contexts for reference requests, case studies, and expansion motions.", "ai_features": "Markets \"Revenue AI\" for contact scoring (engaged vs. at-risk) and deal-context matching/ranking of champions — vendor-described on the homepage, no methodology disclosed, not independently verified.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "unknown — no self-serve pricing, signup, or API docs were found anywhere on the site; /pricing 404'd during this research and the homepage is demo-gated only (\"Book a Demo,\" no visible signup or dollar figures).", "revops_role": "Champion/advocate-identification and revenue-attribution layer spanning CRM, product-usage, support, and community-engagement signals — the customer-marketing sibling to job-change trackers like UserGems/Champify, but scoring champions inside existing accounts rather than tracking them to new employers.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://championhq.com, https://championhq.com/product", "notes": "DISAMBIGUATION FLAG — do not confuse with Champify (champify.io), a different company covered in 05-signals-intent-abm.md that tracks job changes of past customers/champions moving to NEW companies. Champion (championhq.com) instead scores and activates champions WITHIN existing customer accounts for references, case studies, and expansion — a distinct product shape despite the near-identical name and adjacent positioning. Several plausible domains for a \"Champion\" tool were checked and ruled out during this research: champion.io (redirects to an unrelated personal site), trychampion.com (parked/domain-marketplace listing), and champion.app (parked for sale on GoDaddy) — championhq.com is the verified, live, correct domain.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://championhq.com", "https://championhq.com/product" ], "source_annotations": [], "vendor_domain": "championhq.com", "display_name": "Champion", "docs_url": null, "jobs": [ "score-and-prioritize-leads" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "15-champion", "also_listed_in": [], "source_file": "15-community-dark-social.md", "source_line": 26, "file_index": 1, "category_num": "15", "category_slug": "community-dark-social", "category_label": "Community & Dark Social", "heading": "Champion", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 238 }, { "id": "15-common-room", "slug": "common-room", "normalized_name": "common room", "name": "Common Room", "vendor_url": "https://www.commonroom.io", "category": "community-dark-social", "what_it_does": "See the full RESEARCHED entry in 05-signals-intent-abm.md (Common Room is filed there as its canonical home in this directory) — aggregates Slack, Discord, GitHub, product-usage, and third-party intent signals into unified contact/organization profiles.", "ai_features": "See 05-signals-intent-abm.md. No community-dark-social-specific AI capability beyond what's documented there was found in this pass.", "mcp_status": "official", "mcp_url": "https://www.commonroom.io/docs/using-common-room/mcp-server/ ; community alternative: https://github.com/chris-trag/commonroom-mcp", "mcp_auth": "oauth (OAuth 2.1, browser-based, tokens scoped to the user's own Common Room permissions)", "api_gate": "enterprise-only", "revops_role": "The category-defining community-led-growth tool — cross-referenced here rather than duplicated because its canonical entry already lives in 05-signals-intent-abm.md.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.commonroom.io/docs/using-common-room/mcp-server/, https://www.commonroom.io/product/mcp-server/, see 05-signals-intent-abm.md for the full source list", "notes": "SHORT CROSS-REFERENCE ENTRY — do not treat as the canonical Common Room record. See \"### Common Room\" in 05-signals-intent-abm.md for the complete RESEARCHED entry (pricing, MCP tool list, notes). Included here only so this file's \"who covers community signals\" list is complete without re-researching or duplicating facts.", "mcp_status_bucket": "official", "api_gate_bucket": "enterprise-only", "mcp_urls": [ "https://www.commonroom.io/docs/using-common-room/mcp-server/", "https://github.com/chris-trag/commonroom-mcp" ], "source_urls": [ "https://www.commonroom.io/docs/using-common-room/mcp-server/", "https://www.commonroom.io/product/mcp-server/" ], "source_annotations": [ "see 05-signals-intent-abm.md for the full source list" ], "vendor_domain": "commonroom.io", "display_name": "Common Room", "docs_url": null, "jobs": [ "fetch-buyer-intent-signals", "monitor-social-mentions" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/chris-trag/commonroom-mcp" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": false, "canonical_id": "05-common-room", "also_listed_in": [ { "id": "05-common-room", "name": "Common Room", "category_num": "05", "category_slug": "signals-intent-abm", "source_file": "05-signals-intent-abm.md", "canonical": true } ], "source_file": "15-community-dark-social.md", "source_line": 7, "file_index": 0, "category_num": "15", "category_slug": "community-dark-social", "category_label": "Community & Dark Social", "heading": "Common Room", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 108 }, { "id": "15-commsor", "slug": "commsor", "normalized_name": "commsor", "name": "Commsor", "vendor_url": "https://commsor.com", "category": "community-dark-social", "what_it_does": "Was a community-led-growth platform for converting professional-network relationships and referral/warm-intro paths into pipeline, directly overlapping with Common Room's positioning.", "ai_features": "unknown — the live page (now under The Swarm) markets network-signal activation and automated referral programs; no AI/ML methodology could be independently assessed given the acquisition (see notes).", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "unknown", "revops_role": "Was a direct Common Room competitor in the community-led-growth space; now folded into The Swarm's \"Go-to-Network\" product line.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://commsor.com", "notes": "STATUS FLAG — commsor.com now displays a banner: \"The Swarm is Acquiring Commsor,\" linking through to commsor.theswarm.com. The page still shows Commsor-branded product marketing (warm-path surfacing, automated B2B referrals) but is functionally an acquisition-transition page rather than an independent product homepage. Treat Commsor as absorbed into The Swarm (theswarm.com) rather than as a standalone tool going forward; a future directory pass should research The Swarm directly if warm-intro/network-signal tools get their own coverage.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://commsor.com" ], "source_annotations": [], "vendor_domain": "commsor.com", "display_name": "Commsor", "docs_url": null, "jobs": [], "jobs_tagged_by": null, "jobs_tagged_on": null, "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "15-commsor", "also_listed_in": [], "source_file": "15-community-dark-social.md", "source_line": 235, "file_index": 12, "category_num": "15", "category_slug": "community-dark-social", "category_label": "Community & Dark Social", "heading": "Commsor", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 240 }, { "id": "15-exploding-topics", "slug": "exploding-topics", "normalized_name": "exploding topics", "name": "Exploding Topics (Exploding Topics Pro)", "vendor_url": "https://explodingtopics.com", "category": "community-dark-social", "what_it_does": "Surfaces topics, products, and search queries showing accelerating growth in interest before they go mainstream, by tracking search/social/web signal velocity across a large keyword database.", "ai_features": "Vendor markets a proprietary trend-detection algorithm for identifying \"exploding\" (rapidly accelerating) topics; methodology is not publicly disclosed in detail, so treat the \"AI-powered\" framing as an unverified vendor claim rather than a confirmed ML architecture.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "unknown — no API access was mentioned anywhere on the pricing page reviewed; the product is sold purely as a research dashboard (Entrepreneur $39/mo, Investor $99/mo, Business $249/mo).", "revops_role": "Early trend/topic-discovery layer for content and product-marketing ideation — more upstream/strategic than a real-time mention-monitoring tool, but relevant to GTM engineers building topic-based outbound triggers.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://explodingtopics.com/pricing", "notes": "Confirmed current ownership — the pricing page footer states \"Exploding Topics is a Trademark of Semrush Inc,\" and pricing links route through semrush.com, confirming the product is now sold as \"Exploding Topics Pro\" within Semrush's portfolio rather than as an independent company. Checked GitHub and PulseMCP — no MCP server found.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://explodingtopics.com/pricing" ], "source_annotations": [], "vendor_domain": "explodingtopics.com", "display_name": "Exploding Topics (Exploding Topics Pro)", "docs_url": null, "jobs": [], "jobs_tagged_by": null, "jobs_tagged_on": null, "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "15-exploding-topics", "also_listed_in": [], "source_file": "15-community-dark-social.md", "source_line": 216, "file_index": 11, "category_num": "15", "category_slug": "community-dark-social", "category_label": "Community & Dark Social", "heading": "Exploding Topics", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 249 }, { "id": "15-f5bot", "slug": "f5bot", "normalized_name": "f5bot", "name": "F5Bot", "vendor_url": "https://f5bot.com", "category": "community-dark-social", "what_it_does": "Monitors Reddit, Hacker News, and Lobsters for keyword mentions and sends email alerts within minutes of a match.", "ai_features": "Now markets an \"AI\" option to \"describe what you're looking for in natural language\" and have AI evaluate each new discussion — a newer addition beyond exact-keyword matching, vendor-described and not independently verified; the core free service remains rules-based keyword alerting.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "free (limited) — a $0/mo \"free forever\" tier exists with no credit card required, but \"RSS & JSON feeds\" and full programmatic API access are gated to the Gold tier ($49.99/mo); a Silver tier ($9.99/mo) adds \"advanced filtering\" without API access.", "revops_role": "The lowest-friction entry point in this whole file — a genuinely free Reddit/HN keyword alert for solo operators, with paid tiers layered on top for filtering, AI evaluation, and API access.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://f5bot.com", "notes": "Worth flagging as a finding in itself: F5Bot has historically been known purely as a bare-bones free tool, but as of this research it now runs three tiers (Free/Silver $9.99/Gold $49.99) plus an AI-powered natural-language filtering option — a meaningfully different, more built-out product than its old reputation suggests, while still keeping a real free tier. No MCP found on GitHub or PulseMCP.", "mcp_status_bucket": "none-found", "api_gate_bucket": "free", "mcp_urls": [], "source_urls": [ "https://f5bot.com" ], "source_annotations": [], "vendor_domain": "f5bot.com", "display_name": "F5Bot", "docs_url": null, "jobs": [ "monitor-social-mentions" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "15-f5bot", "also_listed_in": [], "source_file": "15-community-dark-social.md", "source_line": 102, "file_index": 5, "category_num": "15", "category_slug": "community-dark-social", "category_label": "Community & Dark Social", "heading": "F5Bot", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 178 }, { "id": "15-gummysearch", "slug": "gummysearch", "normalized_name": "gummysearch", "name": "GummySearch", "vendor_url": "https://gummysearch.com", "category": "community-dark-social", "what_it_does": "Was a Reddit audience-research tool that surfaced subreddit demographics, pain points, and content ideas, plus AI-generated pattern analysis over Reddit threads for customer-development research.", "ai_features": "Marketed \"Find patterns with AI\" and \"Customer development w/AI\" for synthesizing Reddit thread data into insights — vendor-described, not independently verified, and now moot given the shutdown (see notes).", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "n/a — service is closed (see notes)", "revops_role": "Was a Reddit-specific audience/pain-point research layer for product marketing and content ideation.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://gummysearch.com, https://gummysearch.com/pricing", "notes": "STATUS FLAG — GummySearch's own homepage displays a banner reading \"GummySearch is closed as of 11/30/2025.\" The pricing page (Free $0, Starter $29/mo, Pro $59/mo, Mega $199/mo) is preserved but now historical only. Kept in this directory as a RESEARCHED historical entry per the seed list, matching how Koala is handled in 05-signals-intent-abm.md — do not reference as a currently-purchasable tool.", "mcp_status_bucket": "none-found", "api_gate_bucket": "n-a", "mcp_urls": [], "source_urls": [ "https://gummysearch.com", "https://gummysearch.com/pricing" ], "source_annotations": [], "vendor_domain": "gummysearch.com", "display_name": "GummySearch", "docs_url": null, "jobs": [], "jobs_tagged_by": null, "jobs_tagged_on": null, "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "15-gummysearch", "also_listed_in": [], "source_file": "15-community-dark-social.md", "source_line": 121, "file_index": 6, "category_num": "15", "category_slug": "community-dark-social", "category_label": "Community & Dark Social", "heading": "GummySearch", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 289 }, { "id": "15-meltwater", "slug": "meltwater", "normalized_name": "meltwater", "name": "Meltwater", "vendor_url": "https://www.meltwater.com", "category": "community-dark-social", "what_it_does": "Media-intelligence and social-listening platform that consolidates news coverage, social conversations, and AI-generated content into prioritized alerts and workflows for PR, comms, and marketing teams.", "ai_features": "Branded \"Meltwater AI,\" including narrative-shift detection, AI-generated summaries/alerts, a \"GenAI Lens\" feature, and a \"MIRA Studio\" AI showcase — all vendor-described, with no independent verification of the underlying models found.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "enterprise-only (inferred) — no public self-serve pricing; the site routes only to \"Request a demo\" / \"Request Pricing.\"", "revops_role": "Enterprise PR/media-intelligence layer — the kind of incumbent the lighter-weight tools in this file (Syften, Brand24) position themselves against on price and self-serve access.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.meltwater.com, https://github.com/mcopelandmw/mira-api-demo, https://github.com/danmeltwater/inception-volume-monitor", "notes": "Two GitHub repos surfaced referencing Meltwater + MCP — mcopelandmw/mira-api-demo (\"Mira API MCP Server Demo Guide for Meltwater Sales Teams\") and danmeltwater/inception-volume-monitor (a personal API ingestion-volume monitor) — but both read as individual/internal artifacts rather than a vendor-published or customer-usable MCP server, so mcp_status is logged as none-found rather than community. Worth re-checking if Meltwater formalizes a real MCP server around its \"MIRA Studio\" AI product.", "mcp_status_bucket": "none-found", "api_gate_bucket": "enterprise-only", "mcp_urls": [], "source_urls": [ "https://www.meltwater.com", "https://github.com/mcopelandmw/mira-api-demo", "https://github.com/danmeltwater/inception-volume-monitor" ], "source_annotations": [], "vendor_domain": "meltwater.com", "display_name": "Meltwater", "docs_url": null, "jobs": [ "monitor-social-mentions" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/mcopelandmw/mira-api-demo", "https://github.com/danmeltwater/inception-volume-monitor" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "15-meltwater", "also_listed_in": [], "source_file": "15-community-dark-social.md", "source_line": 197, "file_index": 10, "category_num": "15", "category_slug": "community-dark-social", "category_label": "Community & Dark Social", "heading": "Meltwater", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 222 }, { "id": "15-mention", "slug": "mention", "normalized_name": "mention", "name": "Mention", "vendor_url": "https://mention.com", "category": "community-dark-social", "what_it_does": "Monitors web and social mentions across a claimed 1 billion+ sources in real time, layering sentiment/reach analytics and a unified social inbox on top of the monitoring feed.", "ai_features": "\"AI tools\" for content generation (caption/bio/tweet generators) are the concretely-described AI feature; monitoring and sentiment analysis themselves are presented as standard aggregation and scoring rather than a named proprietary model.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "paid — \"API access for custom integrations\" is listed as part of the top-tier Company plan; exact dollar pricing was not visible on the fetched pricing page (rendered as placeholders, likely region/currency-gated), so treat pricing as unconfirmed beyond \"top-tier plan only.\"", "revops_role": "General-purpose social/web mention monitoring with a social-management layer bolted on — broader and more marketing-team-oriented than the Reddit/HN-specific tools (Syften, F5Bot) elsewhere in this file.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://mention.com/en/, https://mention.com/en/pricing/", "notes": "Checked GitHub for \"mention.com mcp\" — no repositories found. The \"1 billion+ sources\" figure is vendor copy, not independently verified. Pricing page did not render dollar figures during this research; flagged as thin rather than guessed at.", "mcp_status_bucket": "none-found", "api_gate_bucket": "paid", "mcp_urls": [], "source_urls": [ "https://mention.com/en/", "https://mention.com/en/pricing/" ], "source_annotations": [], "vendor_domain": "mention.com", "display_name": "Mention", "docs_url": null, "jobs": [ "monitor-social-mentions" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "15-mention", "also_listed_in": [], "source_file": "15-community-dark-social.md", "source_line": 273, "file_index": 14, "category_num": "15", "category_slug": "community-dark-social", "category_label": "Community & Dark Social", "heading": "Mention", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 204 }, { "id": "15-orbit", "slug": "orbit", "normalized_name": "orbit", "name": "Orbit", "vendor_url": "https://orbit.love", "category": "community-dark-social", "what_it_does": "Was a community-analytics platform that aggregated activity across Discord, Slack, GitHub, and social channels into a unified per-person engagement score (\"Orbit Level\") to identify a community's most valuable contributors.", "ai_features": "No ML/LLM claims found in surviving public material — the \"Orbit Level\" scoring was rules-based aggregation and weighting of activity events, not predictive or generative AI.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "unknown — cannot confirm; the product appears non-operational (see notes)", "revops_role": "Was the closest community-analytics peer to Common Room; included in this file specifically because the seed list flagged it as needing an alive/dead check.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://orbit.love (HTTP 530 on every fetch attempted 2026-08-24), https://orbit.love/blog (530), https://orbit.love/pricing (530), https://orbit.love/product (530), https://github.com/orbit-love, https://github.com/orbit-love/orbit-model", "notes": "STATUS FLAG — as of 2026-08-24, every page checked on orbit.love (homepage, /blog, /pricing, /product) returned HTTP 530 \"Unknown Status,\" a Cloudflare origin-unreachable error, indicating the backend is not running. The GitHub organization (github.com/orbit-love, domain-verified owner of orbit.love) still exists with 45 repos and 57 followers, but its flagship open-source \"orbit-model\" framework repo has carried a README notice since 2022 stating \"The project is no longer under active development.\" No independent news source confirming an official shutdown or acquisition announcement was located in this research — but the live product is unreachable by direct observation. Treat Orbit as effectively defunct pending confirmation; do not reference it as a currently-purchasable tool.", "mcp_status_bucket": "none-found", "api_gate_bucket": "unknown", "mcp_urls": [], "source_urls": [ "https://orbit.love", "https://orbit.love/blog", "https://orbit.love/pricing", "https://orbit.love/product", "https://github.com/orbit-love", "https://github.com/orbit-love/orbit-model" ], "source_annotations": [ "HTTP 530 on every fetch attempted 2026-08-24", "530", "530", "530" ], "vendor_domain": "orbit.love", "display_name": "Orbit", "docs_url": null, "jobs": [], "jobs_tagged_by": null, "jobs_tagged_on": null, "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/orbit-love", "https://github.com/orbit-love/orbit-model" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "15-orbit", "also_listed_in": [], "source_file": "15-community-dark-social.md", "source_line": 45, "file_index": 2, "category_num": "15", "category_slug": "community-dark-social", "category_label": "Community & Dark Social", "heading": "Orbit", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 267 }, { "id": "15-sparktoro", "slug": "sparktoro", "normalized_name": "sparktoro", "name": "SparkToro", "vendor_url": "https://sparktoro.com", "category": "community-dark-social", "what_it_does": "Audience-research tool that shows what a defined audience (by keyword, website, social account, or podcast) reads, watches, listens to, and follows, by combining social-graph, search, and web-crawl data.", "ai_features": "Vendor markets an \"AI-powered audience research\" framing, but the underlying product is an aggregation/ranking engine over crawled affinity data rather than a disclosed ML/LLM model; the MCP layer adds genuine LLM-native querying via the connected client, not a SparkToro-owned model.", "mcp_status": "official", "mcp_url": "https://sparktoro.com/mcp ; docs: https://sparktoro.com/mcp/docs", "mcp_auth": "OAuth (one-click sign-in with an existing SparkToro account); documented to work with Claude Desktop, Claude Code, Cursor, and ChatGPT.", "api_gate": "paid (mixed) — the MCP server requires an active paid subscription (Personal $50/mo, Business $150/mo, or Agency $300/mo); the separate REST API is pay-as-you-go credit bundles with no subscription required, and the API docs themselves are free to read without a key.", "revops_role": "Audience/attention-mapping layer for GTM and content targeting — tells an operator where a target audience actually spends attention, complementary to (not competing with) the mention-monitoring tools elsewhere in this file.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://sparktoro.com/mcp, https://sparktoro.com/mcp/docs, https://sparktoro.com/api, https://sparktoro.com/api/pricing, https://sparktoro.com/pricing, https://github.com/SparkToro/status", "notes": "A public status page (github.com/SparkToro/status, built on Upptime) tracks live uptime for \"SparkToro app, public API, and MCP server\" — an unusually transparent, solo-operator-friendly touch rare in this category. The $0/mo free tier covers the core research product but does not include MCP access.", "mcp_status_bucket": "official", "api_gate_bucket": "paid", "mcp_urls": [ "https://sparktoro.com/mcp", "https://sparktoro.com/mcp/docs" ], "source_urls": [ "https://sparktoro.com/mcp", "https://sparktoro.com/mcp/docs", "https://sparktoro.com/api", "https://sparktoro.com/api/pricing", "https://sparktoro.com/pricing", "https://github.com/SparkToro/status" ], "source_annotations": [], "vendor_domain": "sparktoro.com", "display_name": "SparkToro", "docs_url": null, "jobs": [], "jobs_tagged_by": null, "jobs_tagged_on": null, "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/SparkToro/status" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "15-sparktoro", "also_listed_in": [], "source_file": "15-community-dark-social.md", "source_line": 64, "file_index": 3, "category_num": "15", "category_slug": "community-dark-social", "category_label": "Community & Dark Social", "heading": "SparkToro", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 92 }, { "id": "15-syften", "slug": "syften", "normalized_name": "syften", "name": "Syften", "vendor_url": "https://syften.com", "category": "community-dark-social", "what_it_does": "Monitors Reddit, Hacker News, X/Twitter, Bluesky, Mastodon, GitHub, YouTube, Slack communities, and general web/forum sources for keyword mentions, delivering alerts via email, Slack, RSS, webhook, or API.", "ai_features": "\"AI filtering\" suppresses spammy/duplicate/weak-match results (vendor-described noise reduction, no model specifics disclosed); vendor also states onboarding is automated by having the system \"research your company\" to seed initial filters — unverified beyond vendor copy.", "mcp_status": "community", "mcp_url": "https://github.com/syntax-syndicate/social-listening (third-party MCP server built against Syften's data; not a vendor-published repo)", "mcp_auth": "Community server presumably authenticates with a Syften API key (matching Syften's own API auth model); not independently confirmed for this specific repo.", "api_gate": "paid — API access ships from the Standard tier ($49.95/mo); the Entry tier ($29.95/mo) has no API. Webhooks and Syften's own vendor-marketed \"MCP support\" are gated to Syften PRO ($119.95/mo).", "revops_role": "Reddit/HN/forum-native \"dark social\" mention-monitoring layer, positioned as a lighter-weight, solo-operator-priced alternative to enterprise social-listening suites like Brandwatch or Meltwater.", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://syften.com, https://syften.com/pricing, https://github.com/syntax-syndicate/social-listening, https://github.com/dancolta/subscope", "notes": "Syften's own pricing page advertises \"MCP support\" as a named PRO-tier feature, implying a first-party server, but no public vendor docs page or repo URL could be located during this research (both syften.com/mcp and syften.com/docs returned 404) — so mcp_status is logged as community, backed only by the third-party repo in hand, per the hard law that an MCP claim requires a URL. Re-check for an official server before the next directory pass. A second, unrelated Reddit-monitoring tool (dancolta/subscope, a free Claude Code plugin reading public RSS feeds) also surfaced during this search — not Syften-specific, but a relevant adjacent tool for the same use case.", "mcp_status_bucket": "community", "api_gate_bucket": "paid", "mcp_urls": [ "https://github.com/syntax-syndicate/social-listening" ], "source_urls": [ "https://syften.com", "https://syften.com/pricing", "https://github.com/syntax-syndicate/social-listening", "https://github.com/dancolta/subscope" ], "source_annotations": [], "vendor_domain": "syften.com", "display_name": "Syften", "docs_url": null, "jobs": [ "monitor-social-mentions" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [ "https://github.com/syntax-syndicate/social-listening", "https://github.com/syntax-syndicate/social-listening", "https://github.com/dancolta/subscope" ], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "15-syften", "also_listed_in": [], "source_file": "15-community-dark-social.md", "source_line": 83, "file_index": 4, "category_num": "15", "category_slug": "community-dark-social", "category_label": "Community & Dark Social", "heading": "Syften", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 153 }, { "id": "15-talkwalker", "slug": "talkwalker", "normalized_name": "talkwalker", "name": "Talkwalker (rebranded: Lumen by Talkwalker)", "vendor_url": "https://www.talkwalker.com", "category": "community-dark-social", "what_it_does": "Enterprise social-listening and media-monitoring platform tracking social, digital, and AI-channel conversations for brand benchmarking and trend/consumer-insight detection.", "ai_features": "References \"AI channels\" as part of what it monitors (i.e., tracking mentions inside AI chat surfaces) but does not name or describe a specific proprietary AI model on its current marketing pages.", "mcp_status": "none-found", "mcp_url": "none", "mcp_auth": "n/a", "api_gate": "enterprise-only (inferred) — no public self-serve pricing; the site routes only to \"Request a custom demo.\"", "revops_role": "Enterprise media-intelligence peer to Brandwatch/Meltwater, notable mainly for its ownership consolidation into Hootsuite (see notes).", "tier": "RESEARCHED", "last_checked": "2026-08-24", "sources": "https://www.talkwalker.com", "notes": "Talkwalker has rebranded as \"Lumen by Talkwalker\" as part of a stated consolidation with Hootsuite (\"bring Hootsuite and Talkwalker closer together\") — worth noting for anyone still searching under the old standalone \"Talkwalker\" name. Checked GitHub — no MCP server found.", "mcp_status_bucket": "none-found", "api_gate_bucket": "enterprise-only", "mcp_urls": [], "source_urls": [ "https://www.talkwalker.com" ], "source_annotations": [], "vendor_domain": "talkwalker.com", "display_name": "Talkwalker (rebranded: Lumen by Talkwalker)", "docs_url": null, "jobs": [ "monitor-social-mentions" ], "jobs_tagged_by": "machine-pass", "jobs_tagged_on": "2026-08-25", "github_url": null, "github_stars": null, "github_last_commit": null, "github_archived": null, "github_fetched_on": null, "github_candidates": [], "docs_digest": null, "docs_last_crawled": null, "submission": null, "canonical": true, "canonical_id": "15-talkwalker", "also_listed_in": [], "source_file": "15-community-dark-social.md", "source_line": 292, "file_index": 15, "category_num": "15", "category_slug": "community-dark-social", "category_label": "Community & Dark Social", "heading": "Talkwalker (Lumen by Talkwalker)", "missing_schema_fields": [], "extra_fields": {}, "display_rank": 229 } ], "content_sha256": "a9ecb43666b5537e870f2377cea41816eae7d1a4443993c39adda1a1a94da620", "source_sha256": "45ec3c8f6394f2c20f480014caa1d42705b318c6add973ad964987f594af7ed0" }