Mimiq: AI agents use your app like your users and find what breaks MCP server

Mimiq MCP Server

Your agent built the page. Simulated buyers test it.

Mimiq shows a page, copy or email to a crowd of simulated people and reports how they reacted and why: who would stay, who would leave, what confused them and what would change their mind. Give it two versions and it makes a call on which one to ship.

Tools

Ask your agent directly, or let it test what it just built:

"Test my landing page on startup founders"

"Which headline should we ship? Compare them on freelance designers"

"Compare the preview deployment with production"

Mimiq's call on two versions

In comparecopy and compareurls, the same people see version A and version B. Mimiq's call combines two things:

• a forecast of how people like them behave, asked in both orders so the order cannot decide it;
• how the same people moved between the versions.

The call is clear (the forecast and the people agree), leaning (the forecast picks a version and the people did not agree), or too close to call (the forecast changed with the order; no pick). The words come from the same code as the Mimiq app, so the result never says more than the report it links to.

What you get back:

• call: the headline ("Version B is the better bet."), the tier, the pick, the reason in one or two sentences, and how the people bear on it.
• movers: how many of the same people warmed to B, cooled on B, or stayed about the same, and how often chance splits them that unevenly.
• versions.a and versions.b: each version's headline, counts and top objections.
• report_url: the comparison in the Mimiq app (with a key). The plain-text summary always ends with it.

Use at least 5 people per comparison: from 5 up, Mimiq reads who moved; below that it compares rates.

How far to trust it

Shortened. The full README is on GitHub.