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

🚀 Quick Start

Prerequisites

• Node.js 18 or higher

• Google Gemini API key

• Claude Desktop or another MCP-compatible host

Installation

1. Clone the repository:

2. Install dependencies:

3. Build the TypeScript code:

⚙️ Configuration

1. Configure Claude Desktop by adding to claude_desktop_config.json:

2. Replace placeholders:

   • <path-to-project-directory>: Your project path

   • your-gemini-api-key: Your Gemini API key

🛠️ 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:

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:

🔧 Development

🤝 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

• Copyright © 2025

• GitHub: @yourgithubhandle

• Email: your.email@example.com

🙏 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