Overview
What is Google Search MCP Server?
Google Search MCP Server is a tool that enables AI assistants to perform web searches using the Google Search API through the Model Context Protocol (MCP).
How to use Google Search MCP Server?
To use the server, clone the repository, install the dependencies, set up the environment variables with your Google API key and Custom Search Engine ID, and then run the server using Python.
Key features of Google Search MCP Server?
- Web search functionality using Google Search API
- Returns search results in JSON format
- Retrieves up to 20 search results
Use cases of Google Search MCP Server?
- Integrating Google search capabilities into AI assistants.
- Enabling automated web searches for various applications.
- Providing a backend service for applications requiring search functionalities.
FAQ from Google Search MCP Server?
- What are the requirements to run the server?
You need Python 3.12 or higher, a Google Custom Search Engine ID, and a Google API key.
- How do I install the server?
Clone the repository, install dependencies, and set up the environment variables as instructed in the documentation.
- Can I customize the number of search results?
Yes, you can specify the number of results to retrieve, ranging from 1 to 20.