Mcp Server Gemini
What is Mcp Server Gemini
mcp-server-gemini is an implementation of the Model Context Protocol (MCP) server that allows Claude Desktop to interact with Google’s Gemini AI models.
Use cases
Use cases for mcp-server-gemini include integrating Gemini AI models into applications, enhancing user interactions with real-time responses, and developing AI-driven features within Claude Desktop.
How to use
To use mcp-server-gemini, obtain a Gemini API key from Google AI Studio, configure Claude Desktop by adding the Gemini settings to the configuration file, and then restart Claude Desktop to apply the changes.
Key features
Key features include full MCP protocol support, real-time response streaming, secure handling of API keys, configurable model parameters, and a TypeScript implementation.
Where to use
undefined
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Server Gemini
mcp-server-gemini is an implementation of the Model Context Protocol (MCP) server that allows Claude Desktop to interact with Google’s Gemini AI models.
Use cases
Use cases for mcp-server-gemini include integrating Gemini AI models into applications, enhancing user interactions with real-time responses, and developing AI-driven features within Claude Desktop.
How to use
To use mcp-server-gemini, obtain a Gemini API key from Google AI Studio, configure Claude Desktop by adding the Gemini settings to the configuration file, and then restart Claude Desktop to apply the changes.
Key features
Key features include full MCP protocol support, real-time response streaming, secure handling of API keys, configurable model parameters, and a TypeScript implementation.
Where to use
undefined
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Gemini MCP Server
Model Context Protocol (MCP) server implementation that enables Claude Desktop to interact with Google’s Gemini AI models.
Features
- Full MCP protocol support
- Real-time response streaming
- Secure API key handling
- Configurable model parameters
- TypeScript implementation
Quick Start
-
Get Gemini API Key
- Visit Google AI Studio
- Create a new API key
-
Configure Claude Desktop
- Locate your config file:
Mac: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json Linux: ~/.config/Claude/claude_desktop_config.json - Add Gemini configuration:
{ "mcpServers": { "gemini": { "command": "npx", "args": [ "-y", "github:aliargun/mcp-server-gemini" ], "env": { "GEMINI_API_KEY": "your_api_key_here" } } } }
- Locate your config file:
-
Restart Claude Desktop
Documentation
- Claude Desktop Setup Guide - Detailed setup instructions
- Examples and Usage - Usage examples and advanced configuration
- Implementation Notes - Technical implementation details
- Development Guide - Guide for developers
- Troubleshooting Guide - Common issues and solutions
Local Development
# Clone repository
git clone https://github.com/aliargun/mcp-server-gemini.git
cd mcp-server-gemini
# Install dependencies
npm install
# Start development server
npm run dev
Contributing
Contributions are welcome! Please see our Contributing Guide.
Common Issues
-
Connection Issues
- Check if port 3005 is available
- Verify internet connection
- See Troubleshooting Guide
-
API Key Problems
- Verify API key is correct
- Check permissions
- See Setup Guide
Security
- API keys are handled via environment variables only
- No sensitive data is logged or stored
- Regular security updates
License
MIT
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
