# 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:
```bash
git clone https://github.com/yourusername/gemini-imagen-mcp-server.git
cd gemini-imagen-mcp-server
```
2. Install dependencies:
```bash
npm install
```
3. Build the TypeScript code:
```bash
npm run build
```
## ⚙️ Configuration
1. Configure Claude Desktop by adding to `claude_desktop_config.json`:
```json
{
"mcpServers": {
"gemini-image-gen": {
"command": "node",
"args": ["./build/index.js"],
"cwd": "<path-to-project-directory>",
"env": {
"GEMINI_API_KEY": "your-gemini-api-key"
}
}
}
}
```
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:
```
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
```bash
# 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](LICENSE) file for details.
## ✨ Author
**Falah G. Salieh**
- Copyright © 2025
- GitHub: [@yourgithubhandle](https://github.com/yourgithubhandle)
- Email: [your.email@example.com](mailto: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
