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mcp-server-gemini

模型上下文协议(MCP)服务器实现,使克劳德桌面能够与谷歌的双子座AI模型进行交互。

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README

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

  1. Get Gemini API Key

  2. 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"
            }
          }
        }
      }
      
  3. Restart Claude Desktop

Documentation

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

  1. Connection Issues

  2. 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

help

Runtime guide

cloud

Hosted runtime

Hosted servers run from a provider-managed environment. You usually connect the MCP client to the hosted endpoint or follow the provider's authorization flow, without keeping a local process alive

  1. Open provider connection page
  2. Authorize or copy endpoint
  3. Connect from your MCP client
terminal

Local runtime / other methods

Local servers run on your own machine or infrastructure. You normally copy the server_config into your MCP client, install the required package, and provide env variables from env_schema when needed

  1. Copy server_config
  2. Install required package
  3. Fill env variables and restart client