Gemini MCP Server
An MCP server implementation that allows using Google's Gemini AI models (specifically Gemini 1.5 Pro) through Claude or other MCP clients via the Model Context Protocol.
README
Gemini MCP Server
An MCP (Model Context Protocol) server implementation that enables using Google's Gemini AI models through Claude or other MCP clients.
Features
- Full MCP protocol support via SSE transport
- Gemini 1.5 Pro model integration
- Sequential thinking tool implementation
- Environment variable configuration
Deployment on Smithery AI
This server is designed to be easily deployed on Smithery AI. Once deployed, you'll be able to connect to it from any MCP client like Claude.
Configuration
The server requires the following environment variables:
GEMINI_API_KEY: Your Google AI Studio API key for accessing Gemini models
Local Development
If you want to run this server locally:
- Clone the repository
- Install dependencies:
npm install - Set your Gemini API key:
export GEMINI_API_KEY=your_key_here - Start the server:
npm start
How to Use
After deploying to Smithery AI, you'll get a unique URL that you can add to your MCP client:
- Copy the deployment URL from Smithery AI
- In Claude Desktop, go to Settings > MCP Servers
- Add a new server with:
- Name: Gemini MCP
- URL: Your Smithery deployment URL
- Save and restart Claude
License
MIT
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