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

Give your AI agent its own proxies. QuantumProxies exposes residential, mobile, datacenter, ISP and IPv6 endpoints as MCP tools: list your plans, generate ready-to-use proxy strings with credentials, target by country, s

An MCP server for generating images from HTML & CSS or screenshots of URLs using htmlcsstoimage.com.
Fast, lightweight Firecrawl/Tavily alternative in Rust. Web scraper, crawler & search API with MCP server for AI agents. Drop-in Firecrawl-compatible API (/scrape, /crawl, /search). 2.3x faster than Tavily, 1.5x faster than Firecrawl in 1K-URL benchmarks. 6 MB RAM, single binary.

Model Context Protocol Servers
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