Gemini Image Generation MCP Server

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

Gemini Image Generation Server MCP server

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

Restart Claude Desktop

Setup

Install dependencies:

npm install

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