Gemini Imagen MCP Server

A TypeScript-based MCP server that provides image generation capabilities using Google's Gemini Imagen API. This server allows you to generate high-quality images with customizable parameters through the Model Context Protocol.

Features

Tools

• generate_image - Generate images using Google Gemini Imagen
  • prompt (required): Text description for image generation
  • numberOfImages (optional): Number of images to generate (1-4, default: 1)
  • aspectRatio (optional): Image aspect ratio (default: "9:16")
  • sampleImageSize (optional): Image resolution (default: "2K")
  • personGeneration (optional): Control person generation (default: "allow_adult")

Parameter Options

aspectRatio

Controls the aspect ratio of generated images:

• "1:1" - Square format
• "3:4" - Portrait format
• "4:3" - Landscape format
• "9:16" - Vertical format (default)
• "16:9" - Horizontal format

sampleImageSize

Controls the resolution of generated images (Standard and Ultra models only):

• "1K" - Lower resolution
• "2K" - Higher resolution (default)

personGeneration

Controls whether the model can generate images of people:

• "dont_allow" - Block generation of people
• "allow_adult" - Generate adults only (default)
• "allow_all" - Generate adults and children

Usage Examples

Basic Usage (Default Settings)

{
  "prompt": "A beautiful sunset over mountains"
}

This will use default settings:

• aspectRatio: "9:16"
• sampleImageSize: "2K"
• personGeneration: "allow_adult"

Custom Parameters

{
  "prompt": "A cute cat playing with a ball",
  "aspectRatio": "1:1",
  "sampleImageSize": "1K",
  "personGeneration": "dont_allow",
  "numberOfImages": 2
}

Portrait Photography

{
  "prompt": "Professional headshot of a business person",
  "aspectRatio": "3:4",
  "sampleImageSize": "2K",
  "personGeneration": "allow_adult"
}

Landscape Photography

{
  "prompt": "Panoramic view of a mountain range at dawn",
  "aspectRatio": "16:9",
  "sampleImageSize": "2K"
}

Development

Install dependencies:

npm install

Build the server:

npm run build

For development with auto-rebuild:

npm run watch

Installation

Method 1: Using npx (Recommended)

Add the server config to your MCP client:

On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json On Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "gemini-imagen": {
      "command": "npx",
      "args": ["/path/to/gemini-imagen-server/build/index.js"],
      "env": {
        "GEMINI_API_KEY": "YOUR_GEMINI_API_KEY"
      }
    }
  }
}

Method 2: Using node directly

{
  "mcpServers": {
    "gemini-imagen": {
      "command": "node",
      "args": ["/path/to/gemini-imagen-server/build/index.js"],
      "env": {
        "GEMINI_API_KEY": "YOUR_GEMINI_API_KEY"
      }
    }
  }
}

Configuration

API Key Setup

The GEMINI_API_KEY can be provided in two ways:

1. Environment variable in MCP config (recommended):

{
  "mcpServers": {
    "gemini-imagen": {
      "command": "npx",
      "args": ["/path/to/gemini-imagen-server/build/index.js"],
      "env": {
        "GEMINI_API_KEY": "YOUR_GEMINI_API_KEY"
      }
    }
  }
}

2. System environment variable:

export GEMINI_API_KEY="YOUR_GEMINI_API_KEY"

Getting a Gemini API Key

1. Go to Google AI Studio
2. Sign in with your Google account
3. Click "Get API Key"
4. Create a new API key
5. Copy the key and use it in your configuration

Output

Generated images are saved to /tmp/ with timestamped filenames:

• Format: generated_image_[timestamp]_[index].png
• Example: generated_image_1758733788860_0.png

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector:

npm run inspector

The Inspector will provide a URL to access debugging tools in your browser.

Error Handling

The server includes comprehensive error handling:

• Invalid parameters are validated and rejected
• API errors are caught and reported with helpful messages
• Missing API keys are detected and reported clearly
• Network issues are handled gracefully

License

This project is licensed under the MIT License.