What is Patchright Mcp Lite

Patchright-mcp-lite is a lightweight Model Context Protocol (MCP) server that utilizes the Patchright Node.js SDK to provide stealth browser automation capabilities for AI models. It serves as a simplified interface for integrating advanced automation features without the complexities of the full Playwright framework.

Use cases

Use cases include integrating with AI models like Claude Desktop for enhanced automation, utilizing in testing frameworks where stealth is necessary, and any application that requires reliable and undetected browser automation.

How to use

To use patchright-mcp-lite, clone the repository, install the dependencies using npm or yarn, and build the TypeScript code. Start the server with ‘npm start’ to make it ready for integration with AI tools that support MCP.

Key features

Key features include a simple interface focused on core functionalities, stealth automation to avoid detection, adherence to the MCP standard for easy AI integration, and stdio transport for seamless communication.

Where to use

Patchright-mcp-lite can be used in various fields requiring automated browser interactions, particularly in AI development, testing environments, and scenarios where stealth is critical to avoid detection by anti-bot systems.

Patchright Lite MCP Server

A streamlined Model Context Protocol (MCP) server that wraps the Patchright Node.js SDK to provide stealth browser automation capabilities to AI models. This lightweight server focuses on essential functionality to make it easier for simpler AI models to use.

What is Patchright?

Patchright is an undetected version of the Playwright testing and automation framework. It’s designed as a drop-in replacement for Playwright, but with advanced stealth capabilities to avoid detection by anti-bot systems. Patchright patches various detection techniques including:

• Runtime.enable leak
• Console.enable leak
• Command flags leaks
• General detection points
• Closed Shadow Root interactions

This MCP server wraps the Node.js version of Patchright to make its capabilities available to AI models through a simple, standardized protocol.

Features

• Simple Interface: Focused on core functionality with just 4 essential tools
• Stealth Automation: Uses Patchright’s stealth mode to avoid detection
• MCP Standard: Implements the Model Context Protocol for easy AI integration
• Stdio Transport: Uses standard input/output for seamless integration

Prerequisites

• Node.js 18+
• npm or yarn

Installation

1. Clone this repository:

   git clone https://github.com/yourusername/patchright-lite-mcp-server.git
   cd patchright-lite-mcp-server
   

2. Install dependencies:

   npm install
   

3. Build the TypeScript code:

   npm run build
   

4. Install Chromium-Driver for Pathright:

   npx patchright install chromium
   

Usage

Run the server with:

npm start

This will start the server with stdio transport, making it ready to integrate with AI tools that support MCP.

Integrating with AI Models

Claude Desktop

Add this to your claude-desktop-config.json file:

{
  "mcpServers": {
    "patchright": {
      "command": "node",
      "args": [
        "path/to/patchright-lite-mcp-server/dist/index.js"
      ]
    }
  }
}

VS Code with GitHub Copilot

Use the VS Code CLI to add the MCP server:

code --add-mcp '{"name":"patchright","command":"node","args":["path/to/patchright-lite-mcp-server/dist/index.js"]}'

Available Tools

The server provides just 4 essential tools:

1. browse

Launches a browser, navigates to a URL, and extracts content.

Tool: browse
Parameters: {
  "url": "https://example.com",
  "headless": true,
  "waitFor": 1000
}

Returns:

• Page title
• Visible text preview
• Browser ID (for subsequent operations)
• Page ID (for subsequent operations)
• Screenshot path

2. interact

Performs a simple interaction on a page.

Tool: interact
Parameters: {
  "browserId": "browser-id-from-browse",
  "pageId": "page-id-from-browse",
  "action": "click", // can be "click", "fill", or "select"
  "selector": "#submit-button",
  "value": "Hello World" // only needed for fill and select
}

Returns:

• Action result
• Current URL
• Screenshot path

3. extract

Extracts specific content from the current page.

Tool: extract
Parameters: {
  "browserId": "browser-id-from-browse",
  "pageId": "page-id-from-browse",
  "type": "text" // can be "text", "html", or "screenshot"
}

Returns:

• Extracted content based on the requested type

4. close

Closes a browser to free resources.

Tool: close
Parameters: {
  "browserId": "browser-id-from-browse"
}

Example Usage Flow

1. Launch a browser and navigate to a site:

   Tool: browse
   Parameters: {
     "url": "https://example.com/login",
     "headless": false
   }
   

2. Fill in a login form:

   Tool: interact
   Parameters: {
     "browserId": "browser-id-from-step-1",
     "pageId": "page-id-from-step-1",
     "action": "fill",
     "selector": "#username",
     "value": "[email protected]"
   }
   

3. Fill in password:

   Tool: interact
   Parameters: {
     "browserId": "browser-id-from-step-1",
     "pageId": "page-id-from-step-1",
     "action": "fill",
     "selector": "#password",
     "value": "password123"
   }
   

4. Click the login button:

   Tool: interact
   Parameters: {
     "browserId": "browser-id-from-step-1",
     "pageId": "page-id-from-step-1",
     "action": "click",
     "selector": "#login-button"
   }
   

5. Extract text to verify login:

   Tool: extract
   Parameters: {
     "browserId": "browser-id-from-step-1",
     "pageId": "page-id-from-step-1",
     "type": "text"
   }
   

6. Close the browser:

   Tool: close
   Parameters: {
     "browserId": "browser-id-from-step-1"
   }
   

Security Considerations

• This server provides powerful automation capabilities. Use it responsibly and ethically.
• Avoid automating actions that would violate websites’ terms of service.
• Be mindful of rate limits and don’t overload websites with requests.

License

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

Acknowledgments

• Patchright-nodejs by Kaliiiiiiiiii-Vinyzu
• Model Context Protocol by modelcontextprotocol

Docker Usage

You can run this server using Docker:

docker run -it --rm dylangroos/patchright-mcp

Building the Docker Image Locally

Build the Docker image:

docker build -t patchright-mcp .

Run the container:

docker run -it --rm patchright-mcp

Docker Hub

The image is automatically published to Docker Hub when changes are merged to the main branch.
You can find the latest image at: dylangroos/patchright-mcp