What prerequisites are needed?
You need `uv` (fast Python package manager), `playwright` (browser automation), and `mcp-proxy` (for stdio mode). Install them with the provided commands.
@MCP-Mirror
Basic information
Mirror of
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"co-browser_browser-use-mcp-server": {
"command": "uv",
"args": [
"tool",
"install",
"mcp-proxy"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
An MCP server that enables AI agents to control web browsers using the browser-use library. It provides a bridge between AI assistants and browser automation, allowing agents to navigate, extract data, and perform actions on web pages.
Install prerequisites: uv, playwright, and mcp-proxy. Set up a .env file with OPENAI_API_KEY (and optionally CHROME_PATH and PATIENT). Install dependencies with uv sync, pip install playwright, and playwright install. Run in SSE mode with uv run server --port 8000 or in stdio mode by building the package and running browser-use-mcp-server run server --port 8000 --stdio --proxy-port 9000. Docker is also supported.
You need `uv` (fast Python package manager), `playwright` (browser automation), and `mcp-proxy` (for stdio mode). Install them with the provided commands.
Configuration paths vary by client: for Cursor use `./.cursor/mcp.json`, for Windsurf `~/.codeium/windsurf/mcp_config.json`, and for Claude Desktop the path depends on OS (Mac or Windows).
Build the image with `docker build -t browser-use-mcp-server .` and run with `docker run --rm -p8000:8000 -p5900:5900 browser-use-mcp-server`. You can optionally set a custom VNC password via a mounted secret file.
The default VNC password is `browser-use`. To watch, use a VNC viewer such as noVNC by cloning it and pointing to `localhost:5900`.
Both SSE (Server-Sent Events) and stdio modes are supported. SSE runs directly from source; stdio requires building and installing the package as a global tool.
MCP server for fetch web page content using Playwright headless browser.
The Apify MCP server enables your AI agents to extract data from social media, search engines, maps, e-commerce sites, or any other website using thousands of ready-made scrapers, crawlers, and automation tools available on the Apify Store.

An MCP server for generating images from HTML & CSS or screenshots of URLs using htmlcsstoimage.com.
MCP server for fetch web page content using Playwright headless browser.
Allow LLMs to control a browser with Browserbase and Stagehand
Comments