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Gemini Imagen 3.0

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Generate high-quality images using Google's Imagen 3.0 model via the Gemini API.

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Gemini Imagen 3.0 MCP Server

A professional Model Context Protocol (MCP) server implementation that harnesses Google's Imagen 3.0 model through the Gemini API for high-quality image generation. Built with TypeScript and designed for seamless integration with Claude Desktop and other MCP-compatible hosts.

🌟 Features

  • Leverage Google's state-of-the-art Imagen 3.0 model via Gemini API
  • Generate up to 4 high-quality images per request
  • Automatic file management with intelligent naming
  • HTML preview generation with file:// protocol support
  • Built on MCP protocol for AI agent compatibility
  • TypeScript implementation with robust error handling

🛠️ Available Tools

1. generate_images

Generates images using Google's Imagen 3.0 model.

Parameters:

  • prompt (required): Text description of the image to generate
  • numberOfImages (optional): Number of images (1-4, default: 1)

File Management:

  • Images are automatically saved in G:\image-gen3-google-mcp-server\images
  • Filenames follow the pattern: {sanitized-prompt}-{timestamp}-{index}.png
  • Timestamps ensure unique filenames
  • Prompts are sanitized for safe filesystem usage

Example:

Generate an image of a futuristic city at night

2. create_image_html

Creates HTML preview tags for generated images.

Parameters:

  • imagePaths (required): Array of image file paths
  • width (optional): Image width in pixels (default: 512)
  • height (optional): Image height in pixels (default: 512)

Returns HTML tags with absolute file:// URLs for local viewing.

Example:

Create HTML tags for the generated images with width=400

🔧 Development

# Install dependencies
npm install

# Build TypeScript
npm run build

# Run tests (when available)
npm test

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes:

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/AmazingFeature)
  3. Commit your changes (git commit -m 'Add some AmazingFeature')
  4. Push to the branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

📝 Error Handling

The server implements two main error codes:

  • tool_not_found (1): When the requested tool is not available
  • execution_error (2): When image generation or HTML creation fails

📄 License

MIT License - see the LICENSE file for details.

✨ Author

Falah G. Salieh

🙏 Acknowledgments

  • Google Gemini API and Imagen 3.0 model
  • Model Context Protocol (MCP) by Anthropic
  • Claude Desktop team for MCP host implementation

📌 Tags

#MCP #Gemini #Imagen3 #AI #ImageGeneration #TypeScript #NodeJS #GoogleAI #ClaudeDesktop

Made with ❤️ by Falah G. Salieh