Browser-use-claude-mcp

Browser-use-claude-mcp

A browser automation MCP server for AI models like Claude and Gemini 2.5, enabling web browsing capabilities through natural language.

Overview

This project implements a Model Context Protocol (MCP) server that provides browser automation capabilities to AI models. It allows AI assistants to browse the web, interact with websites, and extract information using natural language commands.

Key Features

🌐 Browser Automation Features

• Full browser automation (navigation, form filling, clicking, etc.)
• Web search capabilities
• Screenshot capture for visual understanding
• Content extraction and analysis

🤖 AI Features

• Support for multiple AI providers:
  • Google Gemini 2.5 (primary focus)
  • Anthropic Claude
  • OpenAI
• Image analysis (vision) capabilities
• AI-powered content analysis

🔧 Technical Features

• Written in TypeScript for maximum reliability
• Modular architecture with clean separation of concerns
• Comprehensive logging and error handling
• Easy configuration through environment variables

Available Tools

Tool Name	Description
browse_webpage	Navigate to a URL and extract its content
search_web	Perform a web search and return results
take_screenshot	Capture a screenshot of the current page
click_element	Click on an element by text or selector
fill_form	Fill out form fields with provided values
extract_content	Extract specific content from a webpage
analyze_content	AI-powered analysis of webpage content

Getting Started

See INSTALL.md for detailed installation and setup instructions.

Quick Start

1. Clone the repository

   git clone https://github.com/jasondsmith72/Browser-use-claude-mcp.git
   cd Browser-use-claude-mcp
   

2. Install dependencies

   npm install
   

3. Create a .env file (use .env.example as a template)

   cp .env.example .env
   

4. Build the project

   npm run build
   

5. Start the server

   npm start
   

Configuration

The server can be configured through environment variables in your .env file:

# Browser configuration
CHROME_PATH=
CHROME_USER_DATA=
CHROME_DEBUGGING_PORT=9222

# AI provider (GEMINI, ANTHROPIC, OPENAI)
MCP_MODEL_PROVIDER=GEMINI

# API keys (use the one for your chosen provider)
GOOGLE_API_KEY=your_google_api_key_here
ANTHROPIC_API_KEY=your_anthropic_api_key_here
OPENAI_API_KEY=your_openai_api_key_here

Using with Claude Desktop

1. Locate the Claude Desktop configuration file:

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

2. Add this MCP server to your configuration:

   {
     "mcpServers": {
       "browser-use-claude-mcp": {
         "command": "node",
         "args": [
           "/path/to/Browser-use-claude-mcp/dist/index.js"
         ],
         "env": {
           "CHROME_PATH": "",
           "CHROME_USER_DATA": "",
           "MCP_MODEL_PROVIDER": "GEMINI",
           "GOOGLE_API_KEY": "your_google_api_key_here"
         }
       }
     }
   }
   

3. Restart Claude Desktop for the changes to take effect.

Examples

Basic Web Browsing

browse_webpage(url="https://example.com")

Web Search

search_web(query="best programming languages 2025")

Filling a Form

fill_form(fields={
  "name": "John Doe",
  "email": "[email protected]",
  "message": "Hello world!"
}, submit=true)

AI Content Analysis

analyze_content(
  url="https://en.wikipedia.org/wiki/Artificial_intelligence",
  instructions="Summarize the key developments in AI in the last decade"
)

Development

# Run in development mode
npm run dev

# Run tests
npm test

# Lint code
npm run lint

License

MIT

Credits

This project builds upon the work of browser-use and other MCP server implementations.