browser-use MCP server

Documentation License

Project Note: This MCP server implementation builds upon the 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.

Features

🧠 MCP Integration - Full protocol implementation for AI agent communication
🌐 Browser Automation - Page navigation, form filling, and element interaction
👁️ Visual Understanding - Screenshot analysis and vision-based interactions
🔄 State Persistence - Maintain browser sessions between tasks
🔌 Multi-LLM Support - OpenAI, Anthropic, Azure, DeepSeek integration

Related MCP server: Cloudflare Playwright MCP

Quick Start

Prerequisites

Python 3.11 or higher
uv (fast Python package installer)
Chrome/Chromium browser

Installation

Claude Desktop

On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json On Windows: %APPDATA%/Claude/claude_desktop_config.json

"mcpServers": { "browser-use": { "command": "uvx", "args": [ "mcp-server-browser-use", ], "env": { "OPENROUTER_API_KEY": "", "OPENROUTER_ENDPOINT": "https://openrouter.ai/api/v1", "OPENAI_ENDPOINT": "https://api.openai.com/v1", "OPENAI_API_KEY": "", "ANTHROPIC_ENDPOINT": "https://api.anthropic.com", "ANTHROPIC_API_KEY": "", "GOOGLE_API_KEY": "", "AZURE_OPENAI_ENDPOINT": "", "AZURE_OPENAI_API_KEY": "", "DEEPSEEK_ENDPOINT": "https://api.deepseek.com", "DEEPSEEK_API_KEY": "", "MISTRAL_API_KEY": "", "MISTRAL_ENDPOINT": "https://api.mistral.ai/v1", "OLLAMA_ENDPOINT": "http://localhost:11434", "ANONYMIZED_TELEMETRY": "true", "BROWSER_USE_LOGGING_LEVEL": "info", "CHROME_PATH": "", "CHROME_USER_DATA": "", "CHROME_DEBUGGING_PORT": "9222", "CHROME_DEBUGGING_HOST": "localhost", "CHROME_PERSISTENT_SESSION": "false", "BROWSER_HEADLESS": "false", "BROWSER_DISABLE_SECURITY": "false", "BROWSER_WINDOW_WIDTH": "1280", "BROWSER_WINDOW_HEIGHT": "720", "BROWSER_TRACE_PATH": "trace.json", "BROWSER_RECORDING_PATH": "recording.mp4", "RESOLUTION": "1920x1080x24", "RESOLUTION_WIDTH": "1920", "RESOLUTION_HEIGHT": "1080", "VNC_PASSWORD": "youvncpassword", "MCP_MODEL_PROVIDER": "anthropic", "MCP_MODEL_NAME": "claude-3-5-sonnet-20241022", "MCP_TEMPERATURE": "0.3", "MCP_MAX_STEPS": "30", "MCP_USE_VISION": "true", "MCP_MAX_ACTIONS_PER_STEP": "5", "MCP_TOOL_CALL_IN_CONTENT": "true" } }

Local Development

"browser-use": { "command": "uv", "args": [ "--directory", "/path/to/mcp-browser-use", "run", "mcp-server-browser-use" ], "env": { ... } }

Development

# Install dev dependencies uv sync # Run with debugger npx @modelcontextprotocol/inspector uv --directory . run mcp-server-browser-use

Troubleshooting

Browser Conflicts: Close all Chrome instances before starting.
API Errors: Verify API keys in environment variables match your LLM provider.
Vision Support: Ensure MCP_USE_VISION=true for screenshot analysis.

Provider Configuration

The server supports multiple LLM providers through environment variables. Here are the available options for MCP_MODEL_PROVIDER:

Provider	Value	Required Env Variables
Anthropic	`anthropic`	`ANTHROPIC_API_KEY` `ANTHROPIC_ENDPOINT` (optional)
OpenAI	`openai`	`OPENAI_API_KEY` `OPENAI_ENDPOINT` (optional)
Azure OpenAI	`azure_openai`	`AZURE_OPENAI_API_KEY` `AZURE_OPENAI_ENDPOINT`
DeepSeek	`deepseek`	`DEEPSEEK_API_KEY` `DEEPSEEK_ENDPOINT` (optional)
Gemini	`gemini`	`GOOGLE_API_KEY`
Mistral	`mistral`	`MISTRAL_API_KEY` `MISTRAL_ENDPOINT` (optional)
Ollama	`ollama`	`OLLAMA_ENDPOINT` (optional, defaults to localhost:11434)
OpenRouter	`openrouter`	`OPENROUTER_API_KEY` `OPENROUTER_ENDPOINT` (optional)

Notes:

For endpoints marked as optional, default values will be used if not specified
Temperature can be configured using MCP_TEMPERATURE (default: 0.3)
Model can be specified using MCP_MODEL_NAME
For Ollama models, additional context settings like num_ctx and num_predict are configurable