browser-use MCP server

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

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`<br>`ANTHROPIC_ENDPOINT` (optional)
OpenAI	`openai`	`OPENAI_API_KEY`<br>`OPENAI_ENDPOINT` (optional)
Azure OpenAI	`azure_openai`	`AZURE_OPENAI_API_KEY`<br>`AZURE_OPENAI_ENDPOINT`
DeepSeek	`deepseek`	`DEEPSEEK_API_KEY`<br>`DEEPSEEK_ENDPOINT` (optional)
Gemini	`gemini`	`GOOGLE_API_KEY`
Mistral	`mistral`	`MISTRAL_API_KEY`<br>`MISTRAL_ENDPOINT` (optional)
Ollama	`ollama`	`OLLAMA_ENDPOINT` (optional, defaults to localhost:11434)
OpenRouter	`openrouter`	`OPENROUTER_API_KEY`<br>`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

Credits

This project extends the browser-use/web-ui under MIT License. Special thanks to the original authors for their browser automation framework.

License

MIT - See LICENSE for details.