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
基本情報
Browse the web, directly from Cursor etc.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"browser-use-mcp-server": {
"command": "uv",
"args": [
"tool",
"install",
"mcp-proxy"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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
Official Chrome DevTools MCP server from Google that lets coding agents control, debug and profile a live Chrome browser.
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.
🔮 Platform-neutral Browser Use for AI agents: real Chrome automation with a CLI + SDKs, no lock-in, dead simple.
Allow LLMs to control a browser with Browserbase and Stagehand
An MCP server for fetching URLs / Youtube video transcript.
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