MCP Nano Banana

MCP Nano Banana

Exposes Google Gemini's Nano Banana image generation models to Claude, enabling text-to-image generation, image editing, and multi-image composition through natural language prompts.

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README

MCP Nano Banana

An MCP (Model Context Protocol) server that exposes Google Gemini's image generation capabilities (Nano Banana / Nano Banana Pro) as tools that Claude can use.

Installation

git clone https://github.com/Pgarciapg/mcp-nano-banana.git
cd mcp-nano-banana
npm install
npm run build

Features

  • Text-to-Image Generation: Generate images from text prompts
  • Image Editing: Edit existing images using natural language
  • Image Composition: Combine multiple images into new compositions
  • Two Models Available:
    • nano-banana (gemini-2.5-flash-image): Fast, efficient, 1024px resolution
    • nano-banana-pro (gemini-3-pro-image-preview): Advanced, up to 4K, with thinking mode

Setup

1. Get a Gemini API Key

  1. Go to Google AI Studio
  2. Create or select a project
  3. Generate an API key

2. Set Your API Key

Add your Gemini API key to your shell profile (~/.zshrc or ~/.bashrc):

export GEMINI_API_KEY="your-api-key-here"

Then reload your shell:

source ~/.zshrc

3. Configure Claude Code

Add the server to Claude Code's MCP config. Edit ~/.claude/.mcp.json:

{
  "mcpServers": {
    "gemini-imagen": {
      "command": "node",
      "args": ["/path/to/mcp-nano-banana/dist/index.js"],
      "env": {
        "GEMINI_API_KEY": "${GEMINI_API_KEY}",
        "IMAGEN_OUTPUT_DIR": "/path/to/output/folder"
      }
    }
  }
}

4. Restart Claude Code

After configuring, restart Claude Code to load the new MCP server.

Available Tools

generate_image

Generate an image from a text prompt.

Parameters:

  • prompt (required): Text description of the image to generate
  • model: nano-banana (default) or nano-banana-pro
  • aspect_ratio: 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9
  • image_size: 1K, 2K, 4K (only for nano-banana-pro)
  • filename: Optional output filename

edit_image

Edit an existing image using text prompts.

Parameters:

  • prompt (required): Description of the edit to make
  • image_path (required): Path to the input image
  • model: Model to use for editing
  • aspect_ratio: Optional aspect ratio for output
  • image_size: Resolution (only for nano-banana-pro)
  • filename: Optional output filename

compose_images

Combine multiple images into a new composition.

Parameters:

  • prompt (required): How to combine the images
  • image_paths (required): Array of paths to input images
  • model: Model to use (nano-banana-pro recommended)
  • aspect_ratio: Aspect ratio for output
  • image_size: Resolution (only for nano-banana-pro)
  • filename: Optional output filename

Usage Examples

Generate a simple image

"Generate an image of a sunset over mountains with a cabin in the foreground"

Edit an existing image

"Add a wizard hat to the cat in this image" + provide image_path

Combine multiple images

"Put the dress from the first image on the model from the second image" + provide image_paths array

Prompting Tips

  1. Be Descriptive: Describe scenes narratively, not as keyword lists
  2. Specify Style: Use photography terms for photorealistic images (lens type, lighting, angles)
  3. Include Details: Mention colors, textures, lighting, and mood
  4. Use Templates: For specific styles (product photos, logos, etc.), follow proven templates

Environment Variables

  • GEMINI_API_KEY (required): Your Google Gemini API key
  • IMAGEN_OUTPUT_DIR (optional): Directory for generated images (defaults to ./generated-images)

License

MIT

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