Overview
What is MCP Google Custom Search Server?
MCP Google Custom Search Server is a Model Context Protocol (MCP) server that provides web search capabilities through Google's Custom Search API, enabling Language Learning Models (LLMs) to perform web searches using a standardized interface.
How to use MCP Google Custom Search Server?
To use the server, clone the repository, install dependencies, configure environment variables with your Google API key and Search Engine ID, build the server, and start it.
Key features of MCP Google Custom Search Server?
- Seamless integration with Google Custom Search API
- Model Context Protocol (MCP) compliant server implementation
- Type-safe implementation using TypeScript
- Configurable search results (up to 10 per query)
- Error handling and validation
Use cases of MCP Google Custom Search Server?
- Enhancing LLM applications with web search capabilities.
- Providing search functionalities in educational tools.
- Enabling developers to integrate web search in their applications easily.
FAQ from MCP Google Custom Search Server?
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What do I need to get started?
You need a Google Cloud Project with the Custom Search API enabled and a Custom Search Engine ID. -
Is there a limit on the number of search results?
Yes, you can configure the server to return up to 10 results per query. -
What programming language is used?
The server is implemented in TypeScript.