Puppeteer MCP Server

Puppeteer MCP Server

Provides browser automation capabilities through Puppeteer, allowing interaction with both new browser instances and existing Chrome windows.

Category
访问服务器

README

Puppeteer MCP Server

smithery badge This MCP server provides browser automation capabilities through Puppeteer, allowing interaction with both new browser instances and existing Chrome windows.

Acknowledgment

This project is an experimental implementation inspired by @modelcontextprotocol/server-puppeteer. While it shares similar goals and concepts, it explores alternative approaches to browser automation through the Model Context Protocol.

<a href="https://glama.ai/mcp/servers/lpt1tvbubf"><img width="380" height="200" src="https://glama.ai/mcp/servers/lpt1tvbubf/badge" alt="Puppeteer Server MCP server" /></a>

Features

  • Navigate web pages
  • Take screenshots
  • Click elements
  • Fill forms
  • Select options
  • Hover elements
  • Execute JavaScript
  • Smart Chrome tab management:
    • Connect to active Chrome tabs
    • Preserve existing Chrome instances
    • Intelligent connection handling

Project Structure

/
├── src/
│   ├── config/        # Configuration modules
│   ├── tools/         # Tool definitions and handlers
│   ├── browser/       # Browser connection management
│   ├── types/         # TypeScript type definitions
│   ├── resources/     # Resource handlers
│   └── server.ts      # Server initialization
├── index.ts          # Entry point
└── README.md        # Documentation

Installation

Option 1: Install from npm

npm install -g puppeteer-mcp-server

You can also run it directly without installation using npx:

npx puppeteer-mcp-server

Option 2: Install from source

  1. Clone this repository or download the source code
  2. Install dependencies:
npm install
  1. Build the project:
npm run build
  1. Run the server:
npm start

MCP Server Configuration

To use this tool with Claude, you need to add it to your MCP settings configuration file.

For Claude Desktop App

Add the following to your Claude Desktop configuration file (located at %APPDATA%\Claude\claude_desktop_config.json on Windows or ~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

If installed globally via npm:

{
  "mcpServers": {
    "puppeteer": {
      "command": "puppeteer-mcp-server",
      "args": [],
      "env": {}
    }
  }
}

Using npx (without installation):

{
  "mcpServers": {
    "puppeteer": {
      "command": "npx",
      "args": ["-y", "puppeteer-mcp-server"],
      "env": {}
    }
  }
}

If installed from source:

{
  "mcpServers": {
    "puppeteer": {
      "command": "node",
      "args": ["path/to/puppeteer-mcp-server/dist/index.js"],
      "env": {
        "NODE_OPTIONS": "--experimental-modules"
      }
    }
  }
}

For Claude VSCode Extension

Add the following to your Claude VSCode extension MCP settings file (located at %APPDATA%\Code\User\globalStorage\saoudrizwan.claude-dev\settings\cline_mcp_settings.json on Windows or ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json on macOS):

If installed globally via npm:

{
  "mcpServers": {
    "puppeteer": {
      "command": "puppeteer-mcp-server",
      "args": [],
      "env": {}
    }
  }
}

Using npx (without installation):

{
  "mcpServers": {
    "puppeteer": {
      "command": "npx",
      "args": ["-y", "puppeteer-mcp-server"],
      "env": {}
    }
  }
}

If installed from source:

{
  "mcpServers": {
    "puppeteer": {
      "command": "node",
      "args": ["path/to/puppeteer-mcp-server/dist/index.js"],
      "env": {
        "NODE_OPTIONS": "--experimental-modules"
      }
    }
  }
}

For source installation, replace path/to/puppeteer-mcp-server with the actual path to where you installed this tool.

Usage

Standard Mode

The server will launch a new browser instance by default.

Active Tab Mode

To connect to an existing Chrome window:

  1. Close any existing Chrome instances completely

  2. Launch Chrome with remote debugging enabled:

    # Windows
    "C:\Program Files\Google\Chrome\Application\chrome.exe" --remote-debugging-port=9222
    
    # macOS
    /Applications/Google\ Chrome.app/Contents/MacOS/Google\ Chrome --remote-debugging-port=9222
    
    # Linux
    google-chrome --remote-debugging-port=9222
    
  3. Navigate to your desired webpage in Chrome

  4. Connect using the puppeteer_connect_active_tab tool:

    {
      "targetUrl": "https://example.com", // Optional: specific tab URL
      "debugPort": 9222 // Optional: defaults to 9222
    }
    

The server will:

  • Detect and connect to the Chrome instance running with remote debugging enabled
  • Preserve your Chrome instance (won't close it)
  • Find and connect to non-extension tabs
  • Provide clear error messages if connection fails

Available Tools

puppeteer_connect_active_tab

Connect to an existing Chrome instance with remote debugging enabled.

  • Optional:
    • targetUrl - URL of the specific tab to connect to
    • debugPort - Chrome debugging port (default: 9222)

puppeteer_navigate

Navigate to a URL.

  • Required: url - The URL to navigate to

puppeteer_screenshot

Take a screenshot of the current page or a specific element.

  • Required: name - Name for the screenshot
  • Optional:
    • selector - CSS selector for element to screenshot
    • width - Width in pixels (default: 800)
    • height - Height in pixels (default: 600)

puppeteer_click

Click an element on the page.

  • Required: selector - CSS selector for element to click

puppeteer_fill

Fill out an input field.

  • Required:
    • selector - CSS selector for input field
    • value - Text to enter

puppeteer_select

Use dropdown menus.

  • Required:
    • selector - CSS selector for select element
    • value - Option value to select

puppeteer_hover

Hover over elements.

  • Required: selector - CSS selector for element to hover

puppeteer_evaluate

Execute JavaScript in the browser console.

  • Required: script - JavaScript code to execute

Security Considerations

When using remote debugging:

  • Only enable on trusted networks
  • Use a unique debugging port
  • Close debugging port when not in use
  • Never expose debugging port to public networks

Logging and Debugging

File-based Logging

The server implements comprehensive logging using Winston:

  • Location: logs/ directory
  • File Pattern: mcp-puppeteer-YYYY-MM-DD.log
  • Log Rotation:
    • Daily rotation
    • Maximum size: 20MB per file
    • Retention: 14 days
    • Automatic compression of old logs

Log Levels

  • DEBUG: Detailed debugging information
  • INFO: General operational information
  • WARN: Warning messages
  • ERROR: Error events and exceptions

Logged Information

  • Server startup/shutdown events
  • Browser operations (launch, connect, close)
  • Navigation attempts and results
  • Tool executions and outcomes
  • Error details with stack traces
  • Browser console output
  • Resource usage (screenshots, console logs)

Error Handling

The server provides detailed error messages for:

  • Connection failures
  • Missing elements
  • Invalid selectors
  • JavaScript execution errors
  • Screenshot failures

Each tool call returns:

  • Success/failure status
  • Detailed error message if failed
  • Operation result data if successful

All errors are also logged to the log files with:

  • Timestamp
  • Error message
  • Stack trace (when available)
  • Context information

Contributing

Contributions are welcome! Please read our Contributing Guidelines for details on how to submit pull requests, report issues, and contribute to the project.

License

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

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