cowork-qa-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@cowork-qa-mcpStart a session to find the cheapest 14-inch MacBook Pro on apple.com"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
cowork-qa-mcp

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_tracecall.
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.
Related MCP server: Playwright MCP
Tools
Tool | What it does |
| Open a fresh tab, optional starting URL, return a session id |
| Run one of: |
| Return current URL + full aria-snapshot of the page |
| Close the tab, persist the trace to disk, return the file path |
| 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-mcpThe 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-mcpTo watch the browser instead of running headless:
claude mcp add cowork-qa --scope user \
-e COWORK_QA_HEADED=1 \
-- npx -y cowork-qa-mcpVerify 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 clientMCP 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 |
| unset (headless) | Set to |
|
| Directory where |
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_observecalls don't show up in the trace's step count — onlysession_actcalls do. The final aria-snapshot is captured atsession_end.evalruns 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")), androle=selectors all work.
License
MIT — see LICENSE.
Contributing
PRs welcome. Keep it small: this is meant to stay a thin, auditable server.
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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