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Generate and Transform Images with AI

MCP server that connects Claude Desktop to Nanana AI's image generation service powered by Google Gemini's nano banana model for text-to-image and image

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Works with googleclaude
Nanana AI
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90
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Updated 9 months ago
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Version 1.0.0
Models
claudeuniversal
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Why it matters

Leverage the Nanana AI service to generate novel images from text prompts or transform existing images using the power of Google Gemini's nano banana model.

Outcomes

What it gets done

01

Generate images from text descriptions.

02

Transform existing images based on text prompts.

03

Integrate with MCP clients like Claude Desktop.

04

Manage image generation via API token and credits.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/vb-nanana | bash

Capabilities

Tools your agent gets

text_to_image

Generates an image from a text description

image_to_image

Transforms existing images based on a text description (supports 1 to 9 image URLs)

Overview

Nanana MCP Server

This MCP server connects Claude Desktop to Nanana AI's image generation service, which is powered by Google Gemini's nano banana model. It exposes two core tools: text-to-image generation from text prompts and image-to-image transformation that modifies 1-9 existing images based on text descriptions. Use this server when you need to generate images from text descriptions directly within Claude Desktop conversations, or when you want to transform existing images (like converting photos to oil paintings) without leaving your AI workflow. It's ideal for rapid prototyping, creative exploration, and iterative image generation tasks where you want conversational control over the output. Do NOT use this if you need offline image generation - it requires an active internet connection and consumes credits from your Nanana AI account. Avoid it if you need free, unlimited image generation, as the se

What it does

This MCP server connects Claude Desktop to Nanana AI's image generation service, which is powered by Google Gemini's nano banana model. It exposes two core tools: text-to-image generation from text prompts and image-to-image transformation that modifies 1-9 existing images based on text descriptions.

When to use - and when NOT to

Use this server when you need to generate images from text descriptions directly within Claude Desktop conversations, or when you want to transform existing images (like converting photos to oil paintings) without leaving your AI workflow. It's ideal for rapid prototyping, creative exploration, and iterative image generation tasks where you want conversational control over the output.

Do NOT use this if you need offline image generation - it requires an active internet connection and consumes credits from your Nanana AI account. Avoid it if you need free, unlimited image generation, as the service operates on a credit-based pricing model.

Inputs and outputs

For text-to-image generation, you provide a text prompt describing the desired image (example: "Generate an image of a cute cat wearing a hat"). For image-to-image transformation, you provide 1-9 image URLs plus a text prompt describing the transformation (example: "Transform these images to look like oil paintings: ["https://example.com/image1.jpg\"]").

The server returns generated or transformed images through the Nanana AI service. Each operation consumes credits from your account balance.

Integrations

The server integrates with Claude Desktop on macOS and Windows. Configuration requires adding the server to your Claude Desktop config file:

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

Installation is straightforward via npm:

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

The server defaults to connecting to https://nanana.app, with an optional NANANA_API_URL environment variable available for specifying a custom API URL.

Who it's for

This server is designed for users of Claude Desktop who want to add image generation capabilities to their workflows. The MIT license makes it suitable for both personal and commercial projects. Local testing is supported through npm build and watch mode commands.

Source README

@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

FAQ

Common questions

Discussion

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