# Mimiq - Synthetic User Testing [Health: Active]

**Category:** 📂 Browser Automation  
**Repository:** https://github.com/victorgulchenko/mimiq-mcp  
**GitHub Stars:** 1  
**Views:** 0  
**Installs:** 0  
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**Directory Page:** https://allmcps.com/mcp/mimiq-synthetic-user-testing

## Description
Your agent tests pages, copy, and flows on simulated users while you build.

## Tools
Capabilities this server exposes over MCP:

- **mimiq.show_report** — Show a saved Mimiq run: where it stands while it runs (it waits up to 40 seconds for it to end), then what the agents hit, where each stopped and why, and a link to the full report. Use the session ID from an earlier run or a report URL. Reads your account only and spends no credits.
- **mimiq.test_flow** — Use this after you build or change anything a user goes through (signup, onboarding, checkout, settings, a new feature), on the preview or staging URL, and again after each fix. AI agents, each acting as one of the app's users, open it in their own real browser and try the task by clicking, typing and filling in forms (they get a working inbox for verification codes). They report what was broken, what did nothing, where they got stuck or gave up and why, with the step and a screenshot, and the problems ranked by how many agents hit them. Pass the URL and, as goal, the task a user would try in plain words. For a protected preview or pages behind a sign-in, pass access (a Vercel bypass secret, a username and password, or a test account). Each agent keeps going until it finishes the task or gets stuck, so a run takes a few minutes, longer for a long task; each agent uses 5 credits. This call answers within a minute with status still_running, a session_id and a report link while the run goes on: call mimiq.show_report with the session_id until it is finished (if it returns a review, handle that audience warning as below). The same call made again joins that run and uses no more credits. It starts right away and the result includes the audience summary, examples and fit. If the recruited crowd is not the requested audience (more than 1 in 5 wrong) or the page could not be read to check its market, the result is an audience_review instead: show the warning, then continue with review_id, confirm_audience and audience_fit_acknowledged, or recruit again with audience_correction.

## Claude Desktop Quick Installation
Remote MCP endpoint (confidence: high). Install path detected from listing signals. Add as a URL/SSE server in your client:

```json
"mcpServers": {
  "mimiq-synthetic-user-testing": {
    "url": "https://mcp.mimiqai.com/mcp"
  }
}
```

## Documentation

## What Mimiq - Synthetic User Testing does

Mimiq evaluates web applications by having AI agents attempt tasks that real users might perform. You provide a URL and a plain-language goal, such as signing up, reaching checkout, or starting to use a product. Agents work through the site in separate real browsers, clicking controls, entering text, and completing forms.

The resulting report identifies errors shown in the interface, inactive buttons and links, valid input that forms reject, confusing wording, dead ends, and points where agents stop or give up. Findings include the relevant journey step, a screenshot, the agents affected, and a ranking based on how many agents encountered each problem.

## How it works

Call `mimiq.test_flow` with a target URL and the task a user should complete. Mimiq creates agents based on the application and can accept an `audience` description such as parents shopping for school shoes or freelance designers. Each agent continues until it completes the task or becomes stuck, so a run generally takes several minutes and takes longer for longer tasks.

The run also records browser-observed JavaScript errors, failed requests, 4xx and 5xx responses, and requests taking more than three seconds. For protected pages, the tool accepts Vercel bypass access, basic authentication, or a test login. Credentials are entered in the browser and kept out of results and reports.

If more than one in five recruited agents do not match the requested audience, the result enters an audience review state. The caller can acknowledge the review or request recruitment with a correction.

## Setup and configuration

Mimiq is exposed at `https://mcp.mimiqai.com/mcp` over HTTP. Configure that endpoint in an MCP client and provide an `Authorization: Bearer ...` header when using an API key. Claude Code, Codex, Cursor, VS Code, Windsurf, and Claude Desktop setup examples are supported; Claude Desktop uses `mcp-remote`.

A key is optional for the free try. Without one, a flow can use up to three agents while the daily free allowance remains available. Authenticated runs are saved to the Mimiq account and return a private report link. API keys are created from a Mimiq account's settings and begin with `mq_sk_`.

## Tools and capabilities

- `mimiq.test_flow` runs a user task against a supplied URL and returns audience information, journey steps, stopping points, ranked problems, browser observations, counts, and a summary card.
- `mimiq.show_report` displays a saved run using its session ID or report URL. It reads account data and does not spend credits.
- Each agent in a flow consumes five credits.
- The endpoint can also be called from CI with JSON-RPC over HTTP. The Mimiq preview check GitHub Action runs tests on Vercel, Netlify, or Cloudflare Pages previews and comments results on pull requests.

## Limitations and notes

Mimiq requires a public URL; local development servers need a temporary tunnel. Agents cannot make real card payments, and CAPTCHA or other bot protection may prevent testing. Simulated users expose usability and functional problems but do not predict real-world conversion rates. Use a preview or staging environment without bot protection when possible.

_Full upstream README: https://allmcps.com/mcp/mimiq-synthetic-user-testing/readme_