Imagen
Image generation
README
Nano Banana Pro - OpenRouter MCP Server
The premier image generation and editing suite for MCP. Powered by multimodal AI models via OpenRouter.
Features
- edit_or_create_image: Create or edit an image using the Gemini Nano-Banana Pro model. High-fidelity results. Supports up to 12 context images. Saves to project folder by default.
- batch_edit_or_create_images: Perform multiple image creation or editing tasks in a single batch. Optimized for "nano banana Pro". Perfect for complex creative workflows.
- Multimodal Support: Provide up to 12 local images as context for editing or inspiration.
- Flexible Output: Specify a local path to save each generated image.
Setup
Prerequisites
- Node.js and npm installed.
- An OpenRouter API key.
Installation
-
Clone this repository:
git clone https://github.com/BearThreat/nano-banana-openrouter-mcp cd nano-banana-openrouter-mcp -
Install dependencies:
npm install -
Build the server:
npm run build
Configuration
Add the server to your MCP settings file (e.g., cline_mcp_settings.json or claude_desktop_config.json):
{
"mcpServers": {
"nano-banana-pro": {
"command": "node",
"args": ["/path/to/nano-banana-openrouter-mcp/build/index.js"],
"cwd": "/path/to/nano-banana-openrouter-mcp",
"env": {
"OPENROUTER_API_KEY": "your-openrouter-api-key",
"NANO_BANANA_MODEL_ID": "google/gemini-3-pro-image-preview"
},
"disabled": false,
"autoApprove": [
"edit_or_create_image",
"batch_edit_or_create_images"
]
}
}
}
Usage
Once configured, your AI client will have access to the image generation tools.
Single Image Generation
{
"prompt": "Generate a modern technical infographic about the Model Context Protocol.",
"outputPath": "infographic.png"
}
Batch Image Generation
{
"tasks": [
{ "prompt": "Create a blue circle", "outputPath": "circle.png" },
{ "prompt": "Create a red square", "outputPath": "square.png" },
{ "prompt": "Combine circle.png and square.png into a single composition", "imagePaths": ["circle.png", "square.png"], "outputPath": "combined.png" }
]
}
License
MIT
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