What are the prerequisites for browser-use-mcp-server?
You need uv (Python package manager), Playwright (browser automation), and mcp-proxy (for stdio mode). Install them with `curl -LsSf https://astral.sh/uv/install
@co-browser
基本信息
Browse the web, directly from Cursor etc.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"browser-use-mcp-server": {
"command": "uv",
"args": [
"tool",
"install",
"mcp-proxy"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
An MCP server that enables AI agents to control web browsers using the browser-use library. It is designed for developers building AI-powered browser automation workflows.
Install prerequisites (uv, Playwright, mcp-proxy), set environment variables in a .env file (OPENAI_API_KEY, CHROME_PATH, PATIENT), then run the server in either SSE mode (uv run server --port 8000) or stdio mode after building and installing the package. Configure your MCP client (Cursor, Windsurf, Claude) with the appropriate JSON configuration.
You need uv (Python package manager), Playwright (browser automation), and mcp-proxy (for stdio mode). Install them with `curl -LsSf https://astral.sh/uv/install
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.

Parse allows your agent to access thousands of APIs instantly. You can use Parse to build an API for any action on any website and edit any previously existing API in our catalogue.
Playwright MCP server
Allow LLMs to control a browser with Browserbase and Stagehand
🔮 Platform-neutral Browser Use for AI agents: real Chrome automation with a CLI + SDKs, no lock-in, dead simple.
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