Which integrations are available for this server?

Provides tools for image generation and editing using Google's Gemini models via Google AI Studio, supporting various model selections and customizable aspect ratios.

How do I use Nano Banana MCP?

1. Click on "Deploy Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Nano Banana MCP Generate a 16:9 pro quality image of a cyberpunk city at night" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Nano Banana MCP (Local Fork)

Fork of nano-banana-mcp with model selection and aspect ratio support.

Changes from upstream

Model selection: Choose between flash (fast/cheap) and pro (slower/better) via env var or per-request parameter
Aspect ratio: Pass aspectRatio to generate_image (1:1, 16:9, 9:16, 3:2, 4:3, 21:9, etc.)
Accurate model labeling: Status output shows actual model name instead of incorrect "Gemini 2.5 Flash"

Models

Quality	Model ID	Speed	Cost
`flash`	`gemini-3.1-flash-image-preview`	Fast	~$0.04-0.05/image
`pro`	`gemini-3-pro-image-preview`	Slower	~$0.13-0.24/image

Configuration

{
  "nano-banana": {
    "type": "stdio",
    "command": "node",
    "args": ["/path/to/nano-banana-mcp-local/dist/index.js"],
    "env": {
      "GEMINI_API_KEY": "your-key-here",
      "NANO_BANANA_MODEL": "flash"
    }
  }
}

Environment Variables

Variable	Values	Default	Description
`GEMINI_API_KEY`	API key string	required	Your Google AI Studio API key
`NANO_BANANA_MODEL`	`flash`, `pro`	`flash`	Default model for all requests

Usage

generate_image

generate_image({
  prompt: "A dramatic photo of...",
  quality: "pro",         // optional, overrides env default
  aspectRatio: "16:9"     // optional, default 1:1
})