mcp-server-jfx

Apache 2.0
26
# Serper Google Search MCP Server ![serper-logo](https://github.com/user-attachments/assets/d635efd2-f044-4e42-a938-45e44de7d12b) 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: ```bash git clone https://github.com/yourusername/serper-search-server.git cd serper-search-server ``` 2. Install dependencies: ```bash pnpm install ``` 3. Build the server: ```bash pnpm run build ``` ## ⚙️ Configuration 1. Get your Serper API key from [Serper.dev](https://serper.dev) 2. Create a `.env` file in the root directory: ```env 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` ```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: ```typescript { "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: ```json { "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 ### Related Searches 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](LICENSE) file for details. ## 🙏 Acknowledgments - [Serper API](https://serper.dev) for providing the Google search capabilities - [Model Context Protocol](https://github.com/modelcontextprotocol/mcp) for the MCP framework