Google-Search-MCP

Overview

Google-Search-MCP is a powerful Model Context Protocol server that provides enhanced Google search capabilities with advanced anonymization and anti-detection features. It handles complex search queries with configurable results, multiple parsing strategies, and robust error handling. The server implements realistic browser fingerprinting, dynamic headers, session randomization, and smart retry logic to avoid detection by Google's anti-scraping measures.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

• search

  Perform enhanced Google searches with configurable options

  Try:Search for 'Model Context Protocol MCP' with 5 resultsTry:Find recent articles about artificial intelligence from the past weekTry:Search in Spanish for noticias sobre tecnología

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Installation

npx -y @smithery/cli install @kongyo2/google-search-mcp --client claude

npm install

{
  "mcpServers": {
    "enhanced-google-search": {
      "command": "npx",
      "args": ["tsx", "/path/to/your/project/src/server.ts"]
    }
  }
}

FAQ

Is this server reliable for production use?

No, this is marked as an experimental project. The README explicitly warns about potential rate limiting and reliability issues due to Google's anti-scraping measures. For production use, the author recommends using official search APIs or established MCP servers like DuckDuckGo or Bing Search API.

What anti-detection features does this server implement?

The server implements realistic browser fingerprinting with rotating user agents, dynamic randomized headers, session randomization with unique IDs, request timing with random delays, smart retry logic with exponential backoff, and multiple result parsing strategies to adapt to Google's changing HTML structure.

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