The GTM MCP Directory
Directory / Forecasting & Revenue / Forecastio

Forecastio

No MCP found Paid, self-serve Forecasting & Revenue RESEARCHED Checked 2026-08-24
RESEARCHED Facts from public sources with URLs. No usage claims. Nobody has run this tool. The other tier is BENCH-TESTED, which means Andrew personally ran the tool on a stated date and cannot be bought at any price. Across the whole directory that count is 0.

Vendor: forecastio.ai · entry id 12-forecastio · source 12-forecasting-revenue.md line 226

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, separated from automation with an AI label on it
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.
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.
MCP server
Status bucket
No MCP found
Auth
n/a
Parsed URLs
0 found in the mcp_url field

No server was found at the time of the check. That is a statement about the search, not a promise that none exists. The status was established on 2026-08-24 and has not been re-fetched since.

mcp_status, verbatim from the file:

none-found

mcp_url, verbatim from the file:

none

Access gate
Gate bucket
Paid, self-serve
Can a solo operator reach it
Yes, by paying, no sales call

api_gate, verbatim from the file:

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.

API documentation

No documentation URL recorded.

263 of 293 entries are in the same position. Blank is legal and it is published as blank.

GitHub health

Not measured. github_url, github_stars, github_last_commit and github_archived are null on every entry in this build.

The refresh rail specced in SPEC section 7.2 has not been run. An unstamped star count is a lie, so nothing is shown rather than something stale.

Jobs it can do

A job tag means the vendor says the tool does this. It 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 this entry records.

Tagged by machine-pass on 2026-08-25 against the closed 55 job vocabulary. 271 of 293 entries carry at least one tag; 827 tags are assigned in total.

Sources

4 source URLs. Raw sources field, verbatim:

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, verbatim from the file
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.
Provenance
Entry id
12-forecastio
Source file
12-forecasting-revenue.md
Source line
226
Tier
RESEARCHED
last_checked
2026-08-24
Data baked
2026-08-25

Every field above is rendered from directory.json exactly as the build produced it. Nothing is summarised and nothing is dropped. The one change made at render time is typographic and it is disclosed on the methodology page.