A QA tester inside your AI. Chat with ProdPoke from Claude, Cursor, or any MCP client. It launches real Playwright browsers, finds real bugs, and remembers what you talked about across turns.
Prodpoke is an MCP project maintained in the prodpoke/prodpoke-mcp repository. The maintainer describes its purpose as “A QA tester inside your AI. Chat with ProdPoke from Claude, Cursor, or any MCP client. It launches real Playwright browsers, finds real bugs, and…”. Read the project documentation for the complete scope.
The maintainer’s configuration uses https://prodpoke.com/v1/mcp. It declares streamable-http transport. Check the project’s account and authentication instructions when adding the endpoint to your client.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| chat | Talk to ProdPoke like a QA tester — scan a URL, test a flow, investigate findings, set session preferences. Stateful via session_id. |
| get_credit_balance | Check your remaining scan credits. |
{
"mcpServers": {
"prodpoke": {
"type": "streamable-http",
"url": "https://prodpoke.com/v1/mcp",
"headers": {
"Authorization": "YOUR_AUTHORIZATION"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
Use Microsoft’s Playwright MCP server to navigate pages, inspect accessibility snapshots, fill forms and capture browser screenshots.
The original Chromium automation reference server — simple, screenshot-driven browser control.
Give your coding agent the full DevTools toolbox: traces, network, console, heap snapshots and Lighthouse.
Puppeteer-powered browser control that drives pages from the accessibility tree instead of pixels.
Enables AI-powered applications to monitor and interact with browser data via a Chrome extension and MCP.
Automates browsers and APIs, enabling Large Language Models (LLMs) to interact with web pages for tasks like screenshot capture and JavaScript