Overview
what is Gemini MCP Server?
Gemini MCP Server is a Model Context Protocol (MCP) server designed for Google Search, enabling integration with AI assistants and other MCP-compatible clients.
how to use Gemini MCP Server?
To use the Gemini MCP Server, clone the repository, install the necessary dependencies, set up your Google Custom Search API credentials, and run a test search or integrate it with MCP-compatible clients.
key features of Gemini MCP Server?
- Integration with Google Custom Search API for web and image searches.
- Provides structured results including titles, links, and snippets.
- Supports configuration with MCP-compatible clients.
use cases of Gemini MCP Server?
- Enabling AI assistants to perform web searches.
- Integrating with applications that require search functionalities.
- Facilitating image searches for AI-driven applications.
FAQ from Gemini MCP Server?
- What are the prerequisites for using Gemini MCP Server?
You need Node.js 18+ and npm installed.
- How do I set up my Google API key?
Create a
.envfile in the project root with your Google API key.
- What tools does the server provide?
The server provides tools for performing web and image searches using the Google Custom Search API.
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