What are the prerequisites for running Browser-use MCP Client?
Node.js (v18 or later), pnpm as the package manager, and a running MCP server. For the example Python server, Python 3.8+ is also required.
@Linzo99
基本情報
A MCP client for browser-use
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。
Browser-use MCP Client is a modern React application that provides a user‑friendly interface for interacting with Model Context Protocol (MCP) servers through Server‑Sent Events (SSE). It is designed for developers who need a graphical client to connect to MCP servers, view real‑time responses (including screenshots from browser agents), and manage conversation history.
Install dependencies with pnpm install, start the development server with pnpm dev, and run the proxy server with ./proxy/index.js. The application will be available at http://localhost:5173. You also need a running MCP server (the repository includes a Python example for browser automation) and Node.js v18+ with pnpm.
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Node.js (v18 or later), pnpm as the package manager, and a running MCP server. For the example Python server, Python 3.8+ is also required.
The client connects to MCP servers via Server‑Sent Events (SSE).
Run `pnpm install`, then `pnpm dev`, and in a separate terminal start the proxy with `./proxy/index.js`. The app opens at `localhost:5173`.
Yes, the repository provides a Python‑based MCP server that uses `browser-use` for browser automation and Gemini as the LLM.
The README does not describe any authentication or security mechanisms.
An MCP server for fetching URLs / Youtube video transcript.
Give your AI agent the live web. One MCP server for Search, Fetch, Browser, and Agent: browse real sites, extract structured data, fill forms, and run multi-step workflows. Search and Fetch are free.

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.
MCP server paired with a browser extension that enables AI agents to control the user's browser.
MCP server for fetch web page content using Playwright headless browser.
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