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Cowork QA

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Goal-driven Playwright browser sessions for AI agents with full action traces and automated QA workflows.

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About

Goal-driven Playwright browser sessions for AI agents with full action traces and automated QA workflows.

README

demo

A Model Context Protocol server that gives an LLM a real Chromium browser, records every action it takes toward a stated goal, and hands back a structured trace so the LLM (or a second LLM) can decide whether the goal was actually achieved.

Built on Playwright. Five tools, one binary, no cloud dependency.

Why

Most browser-tool MCP servers are stateless — the LLM clicks, gets HTML back, repeats. There's no record of what happened, no way to grade the run after the fact, and no goal context.

cowork-qa-mcp flips that:

  • Every session starts with a goal in plain English.
  • Every action (goto, click, fill, press, eval) is recorded with timestamps, the URL after, and the page's aria-snapshot.
  • When the session ends, a JSON trace is persisted to disk and exposed via a single qa_get_trace call.

The orchestrating LLM can then reason over the trace ("did this run actually fulfill the goal, or did it click the wrong button?") instead of trusting the run-time chatter.

Tools

Tool What it does
session_start Open a fresh tab, optional starting URL, return a session id
session_act Run one of: goto, click, fill, press, eval. Records the step.
session_observe Return current URL + full aria-snapshot of the page
session_end Close the tab, persist the trace to disk, return the file path
qa_get_trace Return the goal, every step, final URL, and final aria-snapshot — formatted for an LLM to read

Install

Requires Node 20+. The package is on npm — no clone needed.

# Try it once, no install
npx cowork-qa-mcp

# Or install globally
npm install -g cowork-qa-mcp

The first install pulls Chromium via Playwright's postinstall (~150 MB).

Wire into your MCP-compatible client

Claude Code

claude mcp add cowork-qa --scope user -- npx -y cowork-qa-mcp

To watch the browser instead of running headless:

claude mcp add cowork-qa --scope user \
  -e COWORK_QA_HEADED=1 \
  -- npx -y cowork-qa-mcp

Verify with /mcp inside a fresh claude session — you should see cowork-qa ✓ connected and 5 tools.

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "cowork-qa": {
      "command": "npx",
      "args": ["-y", "cowork-qa-mcp"]
    }
  }
}

Cursor / Windsurf / other MCP clients

Any client that speaks the MCP stdio transport works. Point its server config at npx -y cowork-qa-mcp.

From source (for development)

git clone https://github.com/inSideos-designs/cowork-qa-mcp.git
cd cowork-qa-mcp
npm install
npm run build
node dist/server.js   # stdio server, expects an MCP client

MCP Registry

This server is also published on the official MCP Server Registry as io.github.inSideos-designs/cowork-qa — clients that auto-discover from the registry will find it without any manual config.

Environment variables

Variable Default Purpose
COWORK_QA_HEADED unset (headless) Set to 1 to launch Chromium with a visible window
COWORK_QA_DATA <cwd>/.cowork-qa Directory where <session-id>.json traces are written

Usage example

A typical end-to-end loop the orchestrating LLM runs:

session_start({ goal: "find the cheapest 14\" MacBook Pro on apple.com",
                url: "https://www.apple.com/shop/buy-mac/macbook-pro" })
  → { session_id: "abc-123" }

session_observe({ session_id: "abc-123" })
  → URL + aria-snapshot

session_act({ session_id: "abc-123", action: "click",
              target: "button:has-text('Continue')" })

# ... more acts / observes ...

session_end({ session_id: "abc-123" })
  → { steps: 7, trace_path: "~/.cowork-qa/abc-123.json" }

qa_get_trace({ session_id: "abc-123" })
  → Goal: ...
    Steps (7 total): ...
    Final URL: ...
    Final aria-snapshot: ...

Trace format

Each trace is a JSON file:

{
  "session_id": "abc-123",
  "goal": "...",
  "steps": [
    {
      "t": 142,
      "action": "click",
      "args": { "target": "...", "value": null },
      "url_after": "...",
      "aria_after": "..."
    }
  ],
  "final": { "url": "...", "aria": "..." },
  "path": "/.../abc-123.json"
}

Limitations / known quirks

  • session_observe calls don't show up in the trace's step count — only session_act calls do. The final aria-snapshot is captured at session_end.
  • eval runs the JS expression but doesn't return the value to the caller — only side effects on the page are observable.
  • One Chromium process is shared across all sessions in a server instance; each session gets its own context (cookies, etc. are isolated).
  • Selectors are passed straight to Playwright. CSS, text-selectors (button:has-text("Send")), and role= selectors all work.

License

MIT — see LICENSE.

Contributing

PRs welcome. Keep it small: this is meant to stay a thin, auditable server.

from github.com/insideos-designs/cowork-qa-mcp

Installing Cowork QA

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/insideos-designs/cowork-qa-mcp

FAQ

Is Cowork QA MCP free?

Yes, Cowork QA MCP is free — one-click install via Unyly at no cost.

Does Cowork QA need an API key?

No, Cowork QA runs without API keys or environment variables.

Is Cowork QA hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Cowork QA in Claude Desktop, Claude Code or Cursor?

Open Cowork QA on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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