Gemini MCP Server

Access Google's Gemini AI through the gemini-cli command-line tool.

A Model Context Protocol (MCP) server that provides AI-powered internet search capabilities through thegemini-clitool.

This MCP server allows Claude and other AI assistants to perform real-time internet searches by interfacing with thegemini-clicommand-line tool. It provides a singlequerytool that can search for current information and provide AI-powered analysis.

- Real-time Search: Query current internet data through AI-powered search
- MCP Protocol: Implements the Model Context Protocol for seamless integration
- HTTP Streaming: Uses HTTP streaming transport for efficient communication
- TypeScript: Fully typed with TypeScript for reliability
- Graceful Shutdown: Handles SIGINT/SIGTERM signals for clean exits

- Node.js 18+
- gemini-cliinstalled and configured on your system
- TypeScript (for development)

git clone <repository-url> cd gemini-mcp

The server will start on port 13001 by default, or you can set a custom port:

- Description: Send a query to an AI agent that can search real-time internet data
- Parameters:

- text(string): The search query or question to send to the AI agent

Add to your Claude Desktop configuration:

{ "mcpServers": { "gemini-search": { "command": "node", "args": ["path/to/gemini-mcp/dist/index.js"], "env": { "PORT": "13001" } } } }

- npm run build- Compile TypeScript to JavaScript
- npm run start- Run the compiled server
- npm run dev- Run in development mode with ts-node

src/ ├── index.ts # Main server implementation ├── package.json # Project configuration └── dist/ # Compiled JavaScript (after build)

- fastmcp: MCP server framework
- zod: Schema validation
- child_process: Node.js built-in for spawning processes
- Fork the repository
- Create a feature branch
- Make your changes
- Test thoroughly
- Submit a pull request

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