Nano Banana MCP

What is this?

A fork of nano-banana-mcp with one critical upgrade: configurable model selection via environment variable.

The original package hardcodes gemini-2.5-flash-image-preview (shut down January 2026). This fork defaults to gemini-3.1-flash-image-preview and lets you swap models without touching code.

Related MCP server: mrn-gemini-imagen-mcp

Features

• Generate images from text prompts

• Edit existing images with natural language

• Iterative editing (continue refining the last image)

• Multi-image reference support (style transfer, combining elements)

• Configurable aspect ratio (1:1, 16:9, 9:16, 3:2, 2:3, 4:3, 3:4, 4:5, 5:4, 21:9, and more)

• Configurable Gemini model via GEMINI_MODEL env var

Setup

Claude Code / Cursor

Add to your .mcp.json:

{
  "mcpServers": {
    "nano-banana": {
      "type": "stdio",
      "command": "node",
      "args": ["/path/to/nanobanana-mcp/dist/index.js"],
      "env": {
        "GEMINI_API_KEY": "your-api-key-here",
        "GEMINI_MODEL": "gemini-3.1-flash-image-preview"
      }
    }
  }
}

Install Dependencies

git clone https://github.com/charlesdove977/nanobanana-mcp.git
cd nanobanana-mcp
npm install

Get a Gemini API Key

1. Go to Google AI Studio

2. Create a new API key

3. Add it to your MCP config as GEMINI_API_KEY

Models

Set GEMINI_MODEL in your env to any of these (or omit it to use the default):

All models support both generation and editing through the same API.

Tools

Aspect Ratios

All image tools accept an optional aspectRatio parameter. Supported values:

1:1 2:3 3:2 3:4 4:3 4:5 5:4 9:16 16:9 21:9 1:4 1:8 4:1 8:1

Examples

Generate (default 1:1):

"A futuristic city skyline at sunset with flying cars"

Generate (16:9 widescreen):

prompt: "A futuristic city skyline at sunset with flying cars", aspectRatio: "16:9"

Edit:

Edit photo.png: "Remove the background and replace with a gradient"

Continue editing:

"Make the colors more vibrant and add lens flare"

Image Storage

Generated images are saved to ./generated_imgs/ in your working directory (macOS/Linux) or ~/Documents/nano-banana-images/ (Windows).

Credits

Forked from ConechoAI/Nano-Banana-MCP. Updated with configurable model support and latest Gemini models.

License

MIT