Gemini MCP Server

Model Context Protocol (MCP) server for Google Gemini API integration.

Installation

Install directly from GitHub using npx:

npx @el-el-san/gemini-mcp

Or install globally:

npm install -g @el-el-san/gemini-mcp

Configuration

1. Set Environment Variable

Set your Gemini API key:

export GEMINI_API_KEY="your-gemini-api-key-here"

2. MCP Client Configuration

Add to your MCP client configuration (e.g., Claude Desktop):

{
  "mcpServers": {
    "gemini": {
      "command": "npx",
      "args": ["@el-el-san/gemini-mcp"],
      "env": {
        "GEMINI_API_KEY": "your-gemini-api-key-here"
      }
    }
  }
}

Available Tools

• gemini_chat: Chat with Gemini models
• get_conversation_history: Retrieve conversation history
• analyze_media: Analyze images and videos with Gemini vision

Usage

Once configured, the Gemini tools will be available in your MCP client.

Example Chat

User: Tell me about the weather
Gemini: I can help you with weather information, but I'll need you to specify a location...

Example Media Analysis

User: Analyze this image: /path/to/image.jpg
Gemini: This image shows...

Requirements

• Node.js 18+
• Gemini API key from Google AI Studio

License

MIT