Canaryusers

CanaryUsers — MCP Server

Give your AI coding assistant eyes for UX: a flock of AI users tests your deployed app and reports where real people would bail — each with a concrete fix.

CanaryUsers sends a flock of behaviorally‑diverse AI users through your deployed web app (a live or preview URL) and reports exactly where real people get stuck — confusing UX, broken mobile layouts, dead‑end conversion paths, and visual glitches — each with a concrete, AI‑ready fix you can apply in the same chat.

This is the public home for the CanaryUsers remote MCP server: manifest, install instructions, and docs. The product itself is hosted (closed source) — there's nothing to clone or run; you connect to the live endpoint. See docs/WHY.md for why this repo exists and docs/HOW-IT-WORKS.md for how the server works.

• Registry name: ai.canaryusers/canaryusers
• Endpoint (remote, Streamable HTTP): https://www.canaryusers.ai/api/mcp
• Auth: Authorization: Bearer
• Setup / get a token: https://www.canaryusers.ai/mcp

What it does

You point it at a URL; a flock of AI personas actually renders and explores the page like real users, then hands back prioritized, fix‑ready findings — not a vague score. Two modes:

• Quick (default) — a fast static check. Free.
• Deep — renders the page, inspects it visually on desktop + mobile (catches mobile breakage and layout issues), and clicks through key flows like signup / checkout / onboarding (~60–90s, uses credits).

When to use it

• Right after you ship or deploy a UI change (it scans the deployed result, not your source).
• Before a launch, to pressure‑test the first‑run experience.
• To check a specific high‑stakes flow: signup, checkout, onboarding, pricing, or a landing page.
• When you suspect mobile breakage or a conversion drop‑off you can't see in analytics.

Why not Lighthouse or analytics?

Lighthouse grades your HTML; analytics charts what already happened. CanaryUsers sends users and tells you, in plain language, *where they'd give up and why* — before real ones do.

Tools

Install

You need a CanaryUsers token: [canaryusers.ai/dashboard](https://www.canaryusers.ai/dashboard) → CI & API → toggle MCP on → copy your token.

Generic (Cursor `~/.cursor/mcp.json`, Windsurf, VS Code, Claude Desktop):

{

"mcpServers": { "canaryusers": { "url": "https://www.canaryusers.ai/api/mcp", "headers": { "Authorization": "Bearer YOUR_CANARYUSERS_TOKEN" } } } }

Claude Code (CLI):

claude mcp add --transport http canaryusers https://www.canaryusers.ai/api/mcp \

--header "Authorization: Bearer YOUR_CANARYUSERS_TOKEN"

Then just ask your assistant: *"Scan my app at https://… with CanaryUsers."*

Pricing

Quick scans are free. Deep scans use credits (the credit model is roughly *1 credit = 1 scanned page*). Plans and monthly allotments change over time, so this repo intentionally does not hardcode the numbers — see the live pricing for current plans and limits:

➡️ https://www.canaryusers.ai/#pricing (single source of truth)

Links

• Setup & token: https://www.canaryusers.ai/mcp
• Pricing (live): https://www.canaryusers.ai/#pricing
• Official MCP Registry: https://registry.modelcontextprotocol.io/v0/servers?search=canaryusers
• Smithery: https://smithery.ai/servers/brettonb/canaryusers

License

MIT — applies to the contents of this metadata/docs repo. The CanaryUsers service itself is a separate hosted product.