MCP Server Nano Banana

Community Media and design

Image generation with Google Gemini's Nano Banana model.

Install

The installation steps are in the documentation below. Documentation

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. @nanana-ai/mcp-server-nano-banana
  2. Installation
  3. Configuration
  4. Available Tools
  5. Environment Variables
  6. Development
  7. Credits and Pricing
  8. Support
  9. License

@nanana-ai/mcp-server-nano-banana

MCP (Model Context Protocol) server for Nanana AI image generation service powered by Google Gemini's nano banana model. This server allows Claude Desktop and other MCP clients to generate and transform images using nano banana's powerful image generation capabilities.

Installation

npm install -g @nanana-ai/mcp-server-nano-banana

Configuration

1. Get your API token
  1. Visit nanana.app and sign in
  2. Go to your account dashboard
  3. Generate an API token in the "API Access" section
  4. Copy and save the token (it will only be shown once)
2. Configure Claude Desktop

Add the server to your Claude Desktop config file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "nanana": {
      "command": "npx",
      "args": ["-y", "@nanana-ai/mcp-server-nano-banana"],
      "env": {
        "NANANA_API_TOKEN": "your-api-token-here"
      }
    }
  }
}
3. Restart Claude Desktop

After saving the config file, restart Claude Desktop to load the MCP server.

Available Tools

text_to_image

Generate an image from a text prompt.

Parameters:

  • prompt (string, required): The text description of the image to generate

Example:

Generate an image of a cute cat wearing a hat
image_to_image

Transform existing images based on a text prompt.

Parameters:

  • imageUrls (array of strings, required): 1-9 image URLs to transform
  • prompt (string, required): The text description of how to transform the images

Example:

Transform these images to look like oil paintings: ["https://example.com/image1.jpg"]

Environment Variables

  • NANANA_API_TOKEN (required): Your Nanana AI API token
  • NANANA_API_URL (optional): Custom API URL (defaults to https://nanana.app)

Development

Local Testing
  1. Clone the repository
  2. Install dependencies: npm install
  3. Build: npm run build
  4. Test locally by updating Claude Desktop config to point to the built file:
{
  "mcpServers": {
    "nanana": {
      "command": "node",
      "args": ["/path/to/packages/mcp-server/dist/index.js"],
      "env": {
        "NANANA_API_TOKEN": "your-token",
        "NANANA_API_URL": "http://localhost:3000"
      }
    }
  }
}
Build
npm run build
Watch mode
npm run dev

Credits and Pricing

Image generation with nano banana consumes credits from your Nanana AI account. Check your dashboard at nanana.app/account to view your credit balance and purchase more credits if needed.

Support

For issues and questions:

License

MIT

Frequently asked questions

What is MCP Server Nano Banana?

Image generation with Google Gemini's Nano Banana model.

How do I install MCP Server Nano Banana?

Follow the installation steps in its documentation, shown on this page and in its repository.

Is MCP Server Nano Banana open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains MCP Server Nano Banana?

It is published by nanana-app. AI.tn lists it but does not maintain or endorse it.

From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.