modelcontextprotocol-servers
MCP Servermodelcontextprotocol-serverspublic

google search mcp

用于google搜索的Model Context Protocol服务器。这是一个基于Playwright的Model Context Protocol (MCP)工具,可以绕过搜索引擎的反机器人机制,执行Google搜索并提取结果,为像Claude和Cursor这样的AI助手提供实时搜索能力。

Repository Info

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TypeScript
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-
License

About This Server

用于google搜索的Model Context Protocol服务器。这是一个基于Playwright的Model Context Protocol (MCP)工具,可以绕过搜索引擎的反机器人机制,执行Google搜索并提取结果,为像Claude和Cursor这样的AI助手提供实时搜索能力。

Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.

Documentation

Google Search MCP

Model Context Protocol server for google search. A Playwright-based Model Context Protocol (MCP) tool that bypasses search engine anti-bot mechanisms, performs Google searches, and extracts results, providing real-time search capabilities for AI assistants like Claude and Cursor.

Features

  • Anti-Bot Bypass: Uses browser fingerprint spoofing and real user behavior simulation to avoid detection
  • Automatic CAPTCHA Handling: Switches to headed mode when encountering CAPTCHAs, allowing users to complete verification
  • State Persistence: Saves browser session state to reduce the need for repeated verification
  • Adaptability: Uses multiple selector combinations to adapt to changes in Google search pages
  • MCP Integration: Implements the Model Context Protocol for easy integration with AI assistants
  • Multi-language Support: Supports search results in different languages and regions

Using with Cursor

Installation - Globally

Run the MCP server using npx:

npx -y @mcp-server/google-search-mcp@latest

In your Cursor IDE

  1. Go to Cursor Settings > MCP
  2. Click + Add New MCP Server
  3. Fill in the form:
    • Name: google-search (or any name you prefer)
    • Type: command
    • Command: npx -y @mcp-server/google-search-mcp@latest

Installation - Project-specific

Add an .cursor/mcp.json file to your project:

{
  "mcpServers": {
    "google-search": {
      "command": "npx",
      "args": [
        "-y",
        "@mcp-server/google-search-mcp@latest"
      ]
    }
  }
}

Development

yarn install

Build the project

yarn build

Usage

Running as an MCP Server

yarn start

Using with MCP Inspector

To debug the server, you can use the MCP Inspector:

# First build the project
yarn build

# Start the MCP Inspector and server
npx @modelcontextprotocol/inspector node dist/index.js

Parameters

The search tool accepts the following parameters:

  • query (required): Search query string
  • limit (optional): Number of search results to return, default is 10
  • timeout (optional): Search operation timeout in milliseconds, default is 60000
  • language (optional): Language for search results, e.g., zh-CN, en-US, default is zh-CN
  • region (optional): Region for search results, e.g., cn, com, co.jp, default is cn

How It Works

  1. The tool uses Playwright to control a Chromium browser to perform Google searches
  2. It avoids bot detection through browser fingerprint spoofing and real user behavior simulation
  3. When encountering CAPTCHA verification, it automatically switches to headed mode for user completion
  4. It extracts search results and returns them in a structured format
  5. It saves browser state for reuse in subsequent searches

Advanced Configuration

Browser State File

By default, the browser state is saved in the .google-search-browser-state.json file in the user's home directory. You can modify this path through parameters.

Language and Region Settings

You can specify the language and region for search results through parameters:

// English (US) search results
"language": "en-US", "region": "com"

// Japanese search results
"language": "ja-JP", "region": "co.jp"

// Chinese (Simplified) search results
"language": "zh-CN", "region": "cn"

Notes

  • On first use, if you encounter CAPTCHA verification, the system will automatically switch to headed mode for you to complete the verification
  • After verification, the system will save the state file, making subsequent searches smoother
  • Overly frequent search requests may trigger Google's rate limiting mechanisms
  • This tool is for learning and research purposes only, please comply with Google's terms of service

License

MIT

Disclaimer

This tool is for learning and research purposes only. When using this tool to access Google or other search engines, please comply with relevant terms of service and legal regulations. The author is not responsible for any issues resulting from the use of this tool.

Quick Start

1

Clone the repository

git clone https://github.com/modelcontextprotocol-servers/google-search-mcp
2

Install dependencies

cd google-search-mcp
npm install
3

Follow the documentation

Check the repository's README.md file for specific installation and usage instructions.

Repository Details

Ownermodelcontextprotocol-servers
Repogoogle-search-mcp
LanguageTypeScript
License-
Last fetched8/10/2025

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