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

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

Gemini MCP Image Generation Server

Integrations