Nano Banana - OpenRouter MCP Server
Fast, cost-efficient image generation and editing for MCP. Powered by Nano Banana 2 via OpenRouter.
Features
edit_or_create_image: Create or edit an image using the Nano Banana 2 model on OpenRouter. Fast, cost-efficient 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 2. Perfect for fast, cost-efficient creative workflows.
health_check: Validate
.envloading, API key presence, selected model, and optionally run a live OpenRouter connectivity test.start_annotation: Open a visual annotation UI to draw on images and add notes before editing.
get_annotation_results: Retrieve completed annotation results after the user clicks Finish.
complete_annotation_edit: One-step helper that retrieves completed annotations and immediately applies the requested edit.
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.
Model Override: Still supports
NANO_BANANA_MODEL_IDif you want to point the server at a different OpenRouter image model.
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-mcpInstall dependencies:
npm installBuild 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": {
"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-3.1-flash-image-preview"
},
"disabled": false,
"autoApprove": [
"edit_or_create_image",
"batch_edit_or_create_images",
"start_annotation",
"get_annotation_results",
"complete_annotation_edit",
"health_check"
]
}
}
}Usage
Once configured, your AI client will have access to the image generation tools.
By default, this server now targets Nano Banana 2 on OpenRouter:
google/gemini-3.1-flash-image-preview
This was chosen for better speed/cost tradeoffs. You can still override it with NANO_BANANA_MODEL_ID if needed.
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" }
]
}Image Annotation
Use the start_annotation tool to open a browser-based annotation UI where you can draw freehand markings on images and add notes:
{
"imagePaths": ["photo1.jpg", "photo2.png", "design.webp"]
}This opens a visual editor where you can:
Draw on each image with freehand markings (red, yellow, green, blue, white colors)
Navigate between images with Back/Next buttons
Add notes under each image (pre-filled with
Notes about {filename}:)Combine all prompts into a single combined prompt when finished
The tool returns:
annotatedImagePaths: Paths to the annotated images (saved in.nano-banana-temp/folder)combinedPrompt: All individual prompts concatenated togetheroriginalImagePaths: The original input paths
This is particularly useful when you want to point out specific areas in images that need editing, which the AI can then use with edit_or_create_image.
Annotation Shortcut Flow
If the user has already completed the annotation step in the browser, you can call complete_annotation_edit to retrieve the saved annotation results and immediately apply the edit in one tool call.
Health Check
Use health_check to verify local configuration and optionally test OpenRouter connectivity:
{
"testApi": true
}License
MIT
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