MCP Servers

Nano Banana MCP

Enables image generation and editing using Google's Gemini models with support for model selection and custom aspect ratios. Users can generate high-quality images or modify existing ones through natural language prompts while controlling specific parameters like quality and dimensions.

README

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
})

edit_image / continue_editing

Same as upstream, plus optional quality parameter.

License

MIT (same as upstream)

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