Google Custom Search
Enables Language Learning Models (LLMs) to perform web searches using Google's Custom Search API through a standardized MCP interface.
About
This tool is an MCP server that empowers Large Language Models (LLMs) with web search capabilities by leveraging Google's Custom Search API. It provides a standardized interface compliant with the Model Context Protocol (MCP), allowing LLMs to seamlessly integrate real-time web search functionality into their operations. The server offers configurable search results, input validation, and error handling, making it a robust solution for enhancing LLM applications.
Key Features
- Implements Model Context Protocol (MCP)
- Configurable search results
- 9 GitHub stars
- Integrates with Google Custom Search API
- Uses TypeScript for type safety
- Includes input validation and error handling
Use Cases
- Providing real-time information to LLMs
- Enhancing LLM applications with web search capabilities
- Integrating with Claude Desktop and other MCP clients
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