MCP server for browser-use
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<img src="./assets/web-ui.png" alt="Browser Use Web UI" width="full"/> <br/> # browser-use MCP server [](https://docs.browser-use.com) [](LICENSE) > **Project Note**: This MCP server implementation builds upon the [browser-use/web-ui](https://github.com/browser-use/web-ui) foundation. Core browser automation logic and configuration patterns are adapted from the original project. AI-driven browser automation server implementing the Model Context Protocol (MCP) for natural language browser control and web research. <a href="https://glama.ai/mcp/servers/@Saik0s/mcp-browser-use"><img width="380" height="200" src="https://glama.ai/mcp/servers/@Saik0s/mcp-browser-use/badge" alt="Browser-Use MCP server" /></a> ## Features - 🧠 **MCP Integration** - Full protocol implementation for AI agent communication. - 🌐 **Browser Automation** - Page navigation, form filling, element interaction via natural language (`run_browser_agent` tool). - 👁️ **Visual Understanding** - Optional screenshot analysis for vision-capable LLMs. - 🔄 **State Persistence** - Option to manage a browser session across multiple MCP calls or connect to user's browser. - 🔌 **Multi-LLM Support** - Integrates with OpenAI, Anthropic, Azure, DeepSeek, Google, Mistral, Ollama, OpenRouter, Alibaba, Moonshot, Unbound AI. - 🔍 **Deep Research Tool** - Dedicated tool for multi-step web research and report generation (`run_deep_search` tool). - ⚙️ **Environment Variable Configuration** - Fully configurable via environment variables. - 🔗 **CDP Connection** - Ability to connect to and control a user-launched Chrome/Chromium instance via Chrome DevTools Protocol. ## Quick Start ### Prerequisites - Python 3.11 or higher - `uv` (fast Python package installer): `pip install uv` - Chrome/Chromium browser installed - Install Playwright browsers: `uv sync` and then …
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