Gemini Image Generation

Generate images using Google's Gemini API.

GitHub

Gemini Image Generation MCP Server

This is a Model Context Protocol (MCP) server that provides image generation capabilities using Google's Gemini 2 API.

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-imagen": {
      "command": "npx",
      "args": ["-y", "github:sanxfxteam/gemini-mcp-server"],
      "env": {
        "GEMINI_API_KEY": "your_api_key_here"
      }
    }
  }
}

  3. Restart Claude Desktop

Setup

  1. Install dependencies:
npm install
  1. Set up your environment variables: Create a .env file in the root directory and add your Google API key:
GEMINI_API_KEY=your_api_key_here

Usage

Run the server:

npm start

To test

npx @modelcontextprotocol/inspector npm run start

Available Tools

generateImage

Generates images using Gemini 2's experimental image generation API.

Parameters:

  • prompt (string, required): The description of the image you want to generate
  • numSamples (number, optional, default: 4): Number of images to generate
  • aspectRatio (string, optional, default: '1:1'): Aspect ratio of the generated images
  • personGeneration (string, optional, default: 'ALLOW_ADULT'): Person generation settings

Example MCP request:

{
  "tool": "generateImage",
  "params": {
    "prompt": "A serene mountain landscape at sunset",
    "numSamples": 2,
    "aspectRatio": "16:9"
  }
}

Notes

  • This server uses the experimental image generation feature of Gemini 2
  • Make sure you have appropriate access and API keys from Google
  • The server communicates using the Model Context Protocol over stdio

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