Think inside your AI world.
How do I connect Amplitude to ChatGPT?
Amplitude over MCP hands ChatGPT the observational layer — dashboards, charts, experiments, flags, metrics — client-agnostic as ever.
Direct answer: connect Amplitude's MCP server to ChatGPT. In ChatGPT, add it from the connector settings (developer mode); the tool's own docs carry the current path. Authorised, ChatGPT reads your project's dashboards and charts, experiments and their arms, feature flags, and the metrics layer — the assembled views, retrievable by asking.
The metrics, conversationally
How the north-star panel moved, what the test's arms show today, which flags are live — answered from the project. The chart was always right; getting to it was the tax.
Small cohorts tell confident lies
Worked case: your team ratified a cohort-size floor — no product conclusions from cohorts under two hundred users, after a triumphant retention 'win' evaporated when the sixty-user cohort grew up. Amplitude will chart a cohort of six without complaint; refusing to conclude from it is statistical humility you codified.
Through Unl the cohort read arrives with the floor applied: this segment holds 140 users — below your line, observation only, no conclusions; the evaporated win is the reason. Excitement gets audited before it ships a roadmap change.
Amplitude to ChatGPT reads the metrics; through Unl the metrics answer to the statistical floors you ratified — small-cohort enthusiasm gets caught at read time.
Reads through Unl arrive with measured context — in the presence of the decisions you’ve already settled. The reach lane is live: one box, paste anything. If it speaks MCP, Unl can reach it. Readings arrive unprompted, the data beside the criterion; Unl is a courier, not a warehouse, and keeps only your keys and the frame.
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Questions people ask
What is Amplitude's MCP read surface?
Charts, dashboards, experiments, feature flags and metrics — the same across every MCP client, ChatGPT included.
Why put statistical floors in Unl rather than in team training?
Training decays and hires rotate; a ratified floor with its evaporated-win story arrives inside every cohort read, permanently. The rule teaches itself.
Does this replace an analyst?
No — it enforces what your analyst already begged for. The floor is their advice, ratified, made present at the moment of temptation.
What if a cohort never reaches your floor?
Then you never get a verdict from it, and that is the correct outcome rather than a stalled one. The temptation is to lower the floor until the number qualifies. If you do, record it as a new floor rather than an exception, so the next reader knows which standard the answer was judged against.
What this is
Think inside your AI world — you stay in command
Save the thoughts, decisions and targets worth keeping, each with its reasoning, carried into every AI session the moment they matter. A new unit of exchange between you and your AI: the Settled Why with standing that travels. Unprompted.
Your whole AI world. What you decided at the epicentre. It plugs into Claude, Claude Code, ChatGPT and Cursor as an MCP connector — quick to connect, in a couple of steps.
MCP native·Human settled·Model agnostic·Your data
Measured Context
Connect Unl to bring the right information into the moment.
Your sources, read against the criteria you set.
The full product, open. Free at launch.