A Model Context Protocol (MCP) server that provides browser automation capabilities through Puppeteer with intelligent browser management. This server enables AI assistants to control Chromium…
A simple MCP Server for controlling Chrome via Puppeteer is an MCP project maintained in the ratiofu/mcp-puppeteer repository. The maintainer describes its purpose as “A Model Context Protocol (MCP) server that provides browser automation capabilities through Puppeteer with intelligent browser management. This server enables AI assistants to control Chromium…”. Read the project documentation for the complete scope.
The documented npm package is @ratiofu/mcp-puppeteer. The configuration below comes from the maintainer’s example; adapt its paths and account values to your environment.
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 |
|---|---|
| navigate | Navigate to URLs |
| list_tab_urls | List all open tab URLs |
| click | Click elements using CSS selectors |
| take_screenshot | Capture page screenshots |
| get_html | Extract page HTML content |
| get_console | Retrieve browser console output |
{
"mcpServers": {
"puppeteer": {
"command": "npx",
"args": [
"-y",
"@ratiofu/mcp-puppeteer"
]
}
}
}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