Serper Search MCP Server

Serper Google Search MCP Server

A Model Context Protocol server that provides Google search capabilities through the Serper API. This server enables easy integration of Google search functionality into your MCP-enabled applications.

✨ Features

  • 🌐 Powerful Google search integration through Serper API
  • 🔄 Rich response data including:
    • Knowledge Graph information
    • Organic search results
    • "People Also Ask" questions
    • Related searches
  • 🛠 Configurable search parameters:
    • Country targeting
    • Language selection
    • Result count customization
    • Autocorrect options
  • 🔒 Secure API key handling
  • ⚡️ Rate limiting and caching support
  • 📝 TypeScript support with full type definitions

🚀 Installation

  1. Clone the repository:
git clone https://github.com/yourusername/serper-search-server.git cd serper-search-server
  1. Install dependencies:
pnpm install
  1. Build the server:
pnpm run build

⚙️ Configuration

  1. Get your Serper API key from Serper.dev
  2. Create a .env file in the root directory:
SERPER_API_KEY=your_api_key_here

🔌 Integration

Claude Desktop

Add the server config to your Claude Desktop configuration:

MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%/Claude/claude_desktop_config.json

{ "mcpServers": { "serper-search-server": { "command": "/path/to/serper-search-server/build/index.js", "env": { "SERPER_API_KEY": "your_api_key_here" } } } }

🛠 Usage

The server provides a powerful search tool with the following parameters:

{ "query": string, // Search query "numResults"?: number, // Number of results (default: 10, max: 100) "gl"?: string, // Country code (e.g., "us", "uk") "hl"?: string, // Language code (e.g., "en", "es") "autocorrect"?: boolean, // Enable autocorrect (default: true) "type"?: "search" // Search type (more types coming soon) }

Example Response

The search results include rich data:

{ "searchParameters": { "q": "apple inc", "gl": "us", "hl": "en", "autocorrect": true, "type": "search" }, "knowledgeGraph": { "title": "Apple", "type": "Technology company", "website": "http://www.apple.com/", "description": "Apple Inc. is an American multinational technology company...", "attributes": { "Headquarters": "Cupertino, CA", "CEO": "Tim Cook (Aug 24, 2011–)", "Founded": "April 1, 1976, Los Altos, CA" } }, "organic": [ { "title": "Apple", "link": "https://www.apple.com/", "snippet": "Discover the innovative world of Apple...", "position": 1 } ], "peopleAlsoAsk": [ { "question": "What does Apple Inc mean?", "snippet": "Apple Inc., formerly Apple Computer, Inc....", "link": "https://www.britannica.com/topic/Apple-Inc" } ], "relatedSearches": [ { "query": "Who invented the iPhone" } ] }

🔍 Response Types

Knowledge Graph

Contains entity information when available:

  • Title and type
  • Website URL
  • Description
  • Key attributes

Organic Results

List of search results including:

  • Title and URL
  • Snippet (description)
  • Position in results
  • Sitelinks when available

People Also Ask

Common questions related to the search:

  • Question text
  • Answer snippet
  • Source link

List of related search queries users often make.

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

📝 License

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

🙏 Acknowledgments

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security – no known vulnerabilities
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license - not found
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quality - confirmed to work

Enables integration of Google search functionality into MCP-enabled applications using the Serper API, providing rich search results, configurable parameters, and efficient response handling.

  1. ✨ Features
    1. 🚀 Installation
      1. ⚙️ Configuration
        1. 🔌 Integration
          1. Claude Desktop
          2. 🛠 Usage
            1. Example Response
            2. 🔍 Response Types
              1. Knowledge Graph
                1. Organic Results
                  1. People Also Ask
                    1. Related Searches
                    2. 🤝 Contributing
                      1. 📝 License
                        1. 🙏 Acknowledgments