MCP Google Gemini Image Generation Server

A Model Context Protocol (MCP) server that provides Google Gemini image generation capabilities, specifically supporting the Imagen 4 model for high-quality image generation with enhanced text rendering and detailed imagery.

Features

• Imagen 4 Support: Generate high-quality images using Google's latest Imagen 4 model
• Multiple Models: Support for both standard and ultra versions of Imagen 4
• Flexible Parameters: Configurable aspect ratios, number of images, and person generation settings
• Automatic File Management: Images are automatically saved to your Desktop
• TypeScript: Full TypeScript support with proper type definitions
• MCP Protocol: Seamless integration with MCP-compatible clients

Installation

1. Clone this repository
2. Install dependencies:

   npm install

3. Build the project:

   npm run build

Configuration

API Key Setup

1. Get a Google API key from the Google Cloud Console
2. Enable the Generative AI API for your project
3. Start the MCP server
4. Use the configure-server tool to set your API key before generating images
   • Note: Your API key will be automatically saved to ~/.mcp-gemini-image.json for future use

Usage

Running the Server

npm start

Available Tools

1. generate-image

Generate images using Google Gemini Imagen 4.

Parameters:

• prompt (required): Text description of the desired image
• model (optional): Choose between imagen-4.0-generate-preview-06-06 (default) or imagen-4.0-ultra-generate-preview-06-06
• aspect_ratio (optional): square, portrait, or landscape (default: square)
• num_images (optional): Number of images to generate (1-4 for standard, 1 for ultra) (default: 1)
• person_generation (optional): dont_allow, allow_adult, or allow_all (default: allow_adult)
• filename (optional): Custom filename for the saved image

Example:

{
  "prompt": "A serene mountain landscape with a crystal clear lake reflecting the snow-capped peaks at sunset",
  "model": "imagen-4.0-generate-preview-06-06",
  "aspect_ratio": "landscape",
  "num_images": 2
}

2. configure-server

Configure Google API credentials.

Parameters:

• api_key (required): Your Google API key
• project_id (optional): Your Google Cloud project ID

Note: Credentials are automatically saved to ~/.mcp-gemini-image.json and will persist between server restarts.

Example:

{
  "api_key": "your-google-api-key"
}

3. get-config-status

Check the current configuration status of the server.

Returns:

• Configuration status
• Available models
• Image save directory

4. list-supported-models

List all supported Google Gemini image generation models with their capabilities.

Returns:

• Model details
• Maximum number of images per model
• Model features

Model Comparison

Imagen 4 Standard (imagen-4.0-generate-preview-06-06)

• Max Images: 1-4 per request
• Features: High-quality, detailed images with good lighting
• Best for: General image generation, multiple variations

Imagen 4 Ultra (imagen-4.0-ultra-generate-preview-06-06)

• Max Images: 1 per request
• Features: Enhanced quality and detail, premium version
• Best for: High-quality single images, professional use

File Management

Images are automatically saved to:

• Directory: ~/Desktop/gemini-images/
• Format: PNG files with timestamp
• Metadata: JSON files with generation parameters

Error Handling

The server provides comprehensive error handling for:

• Invalid API credentials
• Model parameter validation
• Network connectivity issues
• File system errors

Development

Scripts

• npm run build: Build the TypeScript project
• npm run dev: Watch mode for development
• npm run clean: Clean build directory

Project Structure

src/
├── index.ts            # Main entry point
├── server.ts           # MCP server implementation
├── config-manager.ts   # Configuration management
├── image-generator.ts  # Google Gemini API integration
├── file-manager.ts     # File operations
└── types.ts           # TypeScript definitions

Requirements

• Node.js 18.0.0 or later
• Google API key with Generative AI API enabled
• TypeScript 5.0.0 or later

License

MIT License

Contributing

1. Fork the repository
2. Create your feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

Support

For issues and questions, please open an issue on the GitHub repository.

Changelog

v1.0.0

• Initial release with Imagen 4 support
• Basic image generation functionality
• Configuration management
• File management system