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Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

Provides browser automation with enhanced anti-detection using undetected-chromedriver, enabling robust web scraping and interaction with sites that employ bot protection measures.

README.md

Undetected ChromeDriver MCP Server

![Python 3.8+](https://www.python.org/downloads/) ![License: MIT](https://opensource.org/licenses/MIT)

A Model Context Protocol (MCP) server providing browser automation capabilities using undetected-chromedriver for enhanced anti-detection compared to standard Puppeteer implementations.

🚀 Features

  • 🕵️ Enhanced Anti-Detection: Uses undetected-chromedriver to bypass modern anti-bot protections
  • 🔄 Drop-in Replacement: 100% API compatible with server-puppeteer
  • ⚡ High Performance: Optimized session management and resource cleanup
  • 🛡️ Production Ready: Comprehensive error handling and logging
  • 🎯 14 Powerful Tools: Complete browser automation and network monitoring toolkit
  • 🌐 Network Traffic Monitoring: Capture and analyze all network requests/responses

🛠️ Available Tools

Core Browser Automation

| Tool | Description | |------|-------------| | chrome_navigate | Navigate to URLs with anti-detection | | chrome_screenshot | Capture page or element screenshots | | chrome_click | Click page elements | | chrome_fill | Fill input fields | | chrome_select | Select dropdown options | | chrome_hover | Hover over elements | | chrome_evaluate | Execute JavaScript code |

Network Traffic Monitoring

| Tool | Description | |------|-------------| | start_network_monitoring | Begin capturing network requests and responses | | stop_network_monitoring | Stop network traffic capture | | get_network_requests | Retrieve captured requests with filtering | | get_network_responses | Get response data and headers | | get_response_body | Extract specific response content | | get_network_summary | Get network activity statistics | | clear_network_data | Clear captured network data |

📦 Installation

Prerequisites

  • Python 3.8+
  • Chrome/Chromium browser
  • Git

Option 1: Install from PyPI (Recommended)

pip install undetected-chrome-mcp-server

Option 2: Install with uvx (Isolated Environment)

# Install with uvx for isolated execution
uvx --from undetected-chrome-mcp-server undetected-chrome-mcp-server

# Or run directly without installation
uvx undetected-chrome-mcp-server

Option 3: Install from Source

# Clone the repository
git clone https://github.com/andrewlwn77/undetected-chrome-mcp-server.git
cd undetected-chrome-mcp-server

# Create virtual environment (recommended for Docker)
python3 -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install the package
pip install -e .

Dependencies

  • mcp>=1.0.0 - Model Context Protocol
  • undetected-chromedriver>=3.5.0 - Anti-detection Chrome automation
  • selenium>=4.15.0 - WebDriver framework
  • Pillow>=10.0.0 - Image processing for screenshots

⚙️ Configuration

Environment Variables

| Variable | Description | Default | |----------|-------------|---------| | CHROME_EXECUTABLE_PATH | Path to Chrome executable | /opt/google/chrome/google-chrome | | CHROME_DRIVER_LOG_LEVEL | Logging level | INFO | | CHROME_SESSION_TIMEOUT | Session timeout (seconds) | 300 | | CHROME_MAX_SESSIONS | Max concurrent sessions | 5 | | CHROME_MAX_NETWORK_ENTRIES | Max network requests/responses stored | 1000 |

MCP Configuration

Add to your .mcp.json:

Option 1: Using PyPI Installation

{
  "mcpServers": {
    "undetected-chrome": {
      "command": "python",
      "args": ["-m", "undetected_chrome_mcp.server"],
      "env": {
        "CHROME_EXECUTABLE_PATH": "/opt/google/chrome/google-chrome",
        "CHROME_DRIVER_LOG_LEVEL": "INFO",
        "CHROME_MAX_NETWORK_ENTRIES": "1000"
      }
    }
  }
}

Option 2: Using uvx

{
  "mcpServers": {
    "undetected-chrome": {
      "command": "uvx",
      "args": ["undetected-chrome-mcp-server"],
      "env": {
        "CHROME_EXECUTABLE_PATH": "/opt/google/chrome/google-chrome",
        "CHROME_DRIVER_LOG_LEVEL": "INFO",
        "CHROME_MAX_NETWORK_ENTRIES": "1000"
      }
    }
  }
}

Option 3: Using Virtual Environment (Docker/Development)

{
  "mcpServers": {
    "undetected-chrome": {
      "command": "/path/to/project/venv/bin/python",
      "args": ["/path/to/project/run_mcp_server.py"],
      "cwd": "/path/to/project",
      "env": {
        "CHROME_EXECUTABLE_PATH": "/opt/google/chrome/google-chrome",
        "CHROME_DRIVER_LOG_LEVEL": "INFO",
        "CHROME_SESSION_TIMEOUT": "300",
        "CHROME_MAX_SESSIONS": "5",
        "CHROME_MAX_NETWORK_ENTRIES": "1000"
      }
    }
  }
}

🚀 Usage

Command Line

# Run the MCP server
python -m undetected_chrome_mcp.server

# Or use the installed command
undetected-chrome-mcp-server

Example Tool Calls

Navigate to a webpage: ``json { "tool": "chrome_navigate", "arguments": { "url": "https://example.com", "timeout": 30000 } } ``

Take a screenshot: ``json { "tool": "chrome_screenshot", "arguments": { "name": "example_page", "encoded": true, "fullPage": true } } ``

Execute JavaScript: ``json { "tool": "chrome_evaluate", "arguments": { "script": "return document.title;" } } ``

🌐 Network Traffic Monitoring

The undetected-chrome-mcp-server v1.1.0+ includes powerful network traffic monitoring capabilities using Chrome DevTools Protocol (CDP):

Basic Network Monitoring Workflow

// 1. Start monitoring
{
  "tool": "start_network_monitoring"
}

// 2. Navigate and interact with pages
{
  "tool": "chrome_navigate",
  "arguments": {"url": "https://example.com"}
}

// 3. Get captured requests
{
  "tool": "get_network_requests",
  "arguments": {"url_filter": "api"}
}

// 4. Get response data
{
  "tool": "get_network_responses",
  "arguments": {"url_filter": "example.com"}
}

// 5. Extract specific response content
{
  "tool": "get_response_body",
  "arguments": {"request_id": "123.456"}
}

Key Features

  • Full Traffic Capture: Captures all HTTP/HTTPS requests and responses
  • Memory Protection: Configurable circular buffer (default: 1000 entries)
  • Thread Safe: Concurrent access with proper locking
  • Filtering: URL pattern filtering for requests/responses
  • Complete Data: Headers, POST data, timestamps, status codes, response bodies
  • Performance: Optimized for high-volume traffic capture

Use Cases

  • API Data Extraction: Capture dynamic content loaded via AJAX/fetch
  • Authentication Token Harvesting: Extract JWT tokens, session cookies
  • Performance Analysis: Monitor request timing and response sizes
  • Debugging: Inspect network calls for troubleshooting
  • Data Mining: Collect structured data from API endpoints

🧪 Testing

The project includes test scripts to validate functionality:

# Available test scripts in root directory:
python test_functions.py        # Basic function validation
python test_reddit_automation.py   # Reddit anti-detection tests
python test_undetected_chrome.py   # Core driver tests

Test Results

  • Navigation: Successfully loads protected pages
  • JavaScript Execution: Full DOM access and data extraction
  • Screenshots: High-quality image capture
  • Anti-Detection: Bypasses modern bot protection (tested on Reddit)

🏗️ Architecture

The server follows a layered architecture:

  1. MCP Protocol Layer - Handles MCP communication
  2. Browser Management Layer - Manages Chrome sessions
  3. Anti-Detection Layer - Implements stealth capabilities
  4. Operation Execution Layer - Executes browser operations

🛡️ Anti-Detection Features

  • Undetected ChromeDriver: Advanced stealth automation
  • User Agent Rotation: Randomized browser fingerprints
  • Viewport Randomization: Human-like window sizing
  • Human-like Delays: Natural interaction timing
  • JavaScript Stealth: Removes automation indicators
  • Session Isolation: Clean state between operations

🎯 Comparison with server-puppeteer

| Feature | server-puppeteer | undetected-chrome-mcp | |---------|------------------|----------------------| | Anti-Detection | Basic | Advanced | | Bot Protection Bypass | Limited | Excellent | | API Compatibility | N/A | 100% Compatible | | Performance | Good | Optimized | | Resource Management | Basic | Advanced |

🤝 Contributing

  1. Fork the repository
  2. Create a feature branch: git checkout -b feature-name
  3. Commit changes: git commit -am 'Add feature'
  4. Push to branch: git push origin feature-name
  5. Create a Pull Request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

This project builds upon excellent open source work:

Special thanks to the open source community for creating these foundational tools that make advanced browser automation accessible to everyone.

📞 Support

🔗 Related Projects

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Built with ❤️ by andrewlwn77

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