gemini-mcp-server

# gemini-mcp-server A TypeScript implementation of a Model Context Protocol (MCP) server that integrates with Google's Gemini model using direct API calls. ## Features - Uses direct calls to the Gemini API (no deprecated SDK) - Supports the latest Gemini 2.0 Flash model - Implements MCP protocol for seamless integration with Claude - Maintains conversation context for natural interactions ## MCP Tools ### generate_text *From server: gemini* Generate text using Gemini model with configurable parameters. ## Prerequisites - Node.js 18 or higher - Google Gemini API key - TypeScript - Claude Desktop app ## Installation 1. Clone the repository: ```bash git clone https://github.com/YOUR-USERNAME/gemini-mcp-server.git cd gemini-mcp-server ``` 2. Install dependencies: ```bash npm install ``` 3. Build: ```bash npm run build ``` ## Claude Desktop Integration To use this server with Claude Desktop: 1. Open Claude Desktop 2. Go to Settings > Developer 3. Click "Edit Config" 4. Add the following configuration: ```json "gemini": { "command": "node", "args": ["path\\to\\dist\\gemini_mcp_server.js"], "env": { "GEMINI_API_KEY": "gemini_api_key" }, "cwd": "path\\to\\gemini-mcp-server" } ``` Replace: - `/path/to/gemini-mcp-server` with the absolute path to your repository - `your_api_key_here` with your actual Google Gemini API key The server will now be available in Claude Desktop's MCP server list. ## API Implementation This server uses direct HTTP requests to the Gemini API endpoint. The API request format follows Google's official documentation: ``` curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key=GEMINI_API_KEY" \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[{"text": "Explain how AI works"}] }] }' ``` ## Testing You can test the direct API implementation using the example script: ``` node dist/example_direct_api.js "Your prompt here" ``` ## License MIT