Nano Banana MCP

MCP server for Google Gemini image generation with configurable model support.

Features • Setup • Models • Tools

Website • YouTube • Skool Community

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What is this?

A fork of [nano-banana-mcp](https://github.com/ConechoAI/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.

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. A