One MCP connection for context every agent can trust
The Context MCP serves Fluint's briefs, predictors and plays to Claude, ChatGPT, Cursor or your own agents, already scored against outcomes and cited.
stage: "Evaluation",
top_predictor: "second_contact_engaged",
play: "Invite the ops lead to Thursday's demo",
based_on: 212,
sources: ["call:0918", "email:0919"]
}
What's the Context MCP?
An MCP server that gives any AI tool access to your GTM context through one connection.
Retire your brittle SKILL files.
Hand-written instruction files tell agents which plays to run and how, but they go out of date the moment anything changes and no one keeps them current. The Context MCP carries that same guidance, which plays win and how to run them, and refreshes it as your deals close. Your agents always follow what's working now.
Processed once, not on every call.
The Context MCP runs as an always-on pipeline. Each brief is built and refreshed the moment your data changes, so a call returns ready context instead of making the model re-read raw records and reason it out again every time. That cuts latency and the token cost of every request.
How it works
Point Claude, ChatGPT, Cursor or your own agent at the Fluint MCP endpoint.
Ask for a brief, the top predictors for a segment, or the play for a deal.
Every response includes the deals, calls and emails behind it.
What teams get from one connection
The Context MCP compared with per-tool connectors and raw APIs
Connectors and APIs hand agents raw records. The Context MCP hands them context that's already cleaned, scored and cited.
Common questions
Connect your first agent this week.
Start with $300 in free credits, connect your sources, then point any MCP client at Fluint.