undetected-chrome-mcp

undetected-chrome-mcp

Provides browser automation with enhanced anti-detection using undetected-chromedriver, enabling robust web scraping and interaction with sites that employ bot protection measures. It is fully compatible with server-puppeteer and includes network traffic monitoring capabilities.

Category
访问服务器

README

Undetected ChromeDriver MCP Server

Python 3.8+ License: 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:

{
  "tool": "chrome_navigate",
  "arguments": {
    "url": "https://example.com",
    "timeout": 30000
  }
}

Take a screenshot:

{
  "tool": "chrome_screenshot",
  "arguments": {
    "name": "example_page",
    "encoded": true,
    "fullPage": true
  }
}

Execute JavaScript:

{
  "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


Built with ❤️ by andrewlwn77

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选