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MCP Gemini 服务器实现

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

运行方式说明

cloud

托管运行

托管运行通常表示这个 MCP Server 由服务方环境承载,用户一般按页面提供的连接方式或授权流程接入,不需要在本地长期启动一个 MCP 进程

  1. 打开服务方连接页
  2. 完成授权或复制端点
  3. 在 MCP 客户端中连接
terminal

本地运行 / 其它方式

本地运行通常需要用户在自己的电脑或服务器上安装依赖,把 server_config 复制到 MCP 客户端,并按 env_schema 补齐环境变量、密钥或其它配置

  1. 复制 server_config
  2. 安装所需依赖
  3. 补齐环境变量后重启客户端