MCP Google Custom Search Server

what is MCP Google Custom Search Server?

MCP Google Custom Search Server is a Model Context Protocol (MCP) compliant server that enables web search capabilities using Google's Custom Search API, specifically designed for integrating with Language Learning Models (LLMs).

how to use MCP Google Custom Search Server?

To use this server, clone the repository from GitHub, install the necessary dependencies, configure the environment variables with your Google API credentials, and run the server using Node.js.

key features of MCP Google Custom Search Server?

• Seamless integration with Google Custom Search API
• MCP compliant server implementation
• Type-safe development environment with TypeScript
• Configurable search results and error handling
• Supports Claude Desktop and other MCP clients

use cases of MCP Google Custom Search Server?

1. Enhancing search functionality in LLM applications.
2. Providing developers with a standardized API for web search.
3. Facilitating complex data retrieval tasks in research workflows.

FAQ from MCP Google Custom Search Server?

• Do I need a Google Cloud Project to use this server?

Yes! You'll need to enable the Custom Search API and obtain API credentials from Google Cloud Console.

• Can I configure the number of search results?

Yes! The server allows configuring up to 10 search results per query.

• Is this server open-source?

Yes! This project is licensed under the MIT License and can be found on GitHub.