image-gen3-google-mcp-server
Generates high-quality images using Google's Imagen 3.0 model via the Gemini API, with configurable number of images and automatic file management.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@image-gen3-google-mcp-serverGenerate an image of a futuristic city at night"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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
Related MCP server: Nano Banana MCP Server
🚀 Quick Start
Prerequisites
Node.js 18 or higher
Google Gemini API key
Claude Desktop or another MCP-compatible host
Installation
Clone the repository:
git clone https://github.com/yourusername/gemini-imagen-mcp-server.git
cd gemini-imagen-mcp-serverInstall dependencies:
npm installBuild the TypeScript code:
npm run build⚙️ Configuration
Configure Claude Desktop by adding to
claude_desktop_config.json:
{
"mcpServers": {
"gemini-image-gen": {
"command": "node",
"args": ["./build/index.js"],
"cwd": "<path-to-project-directory>",
"env": {
"GEMINI_API_KEY": "your-gemini-api-key"
}
}
}
}Replace placeholders:
<path-to-project-directory>: Your project pathyour-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 generatenumberOfImages(optional): Number of images (1-4, default: 1)
File Management:
Images are automatically saved in
G:\image-gen3-google-mcp-server\imagesFilenames follow the pattern:
{sanitized-prompt}-{timestamp}-{index}.pngTimestamps ensure unique filenames
Prompts are sanitized for safe filesystem usage
Example:
Generate an image of a futuristic city at night2. create_image_html
Creates HTML preview tags for generated images.
Parameters:
imagePaths(required): Array of image file pathswidth(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:
Fork the repository
Create your feature branch (
git checkout -b feature/AmazingFeature)Commit your changes (
git commit -m 'Add some AmazingFeature')Push to the branch (
git push origin feature/AmazingFeature)Open a Pull Request
📝 Error Handling
The server implements two main error codes:
tool_not_found(1): When the requested tool is not availableexecution_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
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