Which integrations are available for this server?

Provides tools for AI image generation and editing using Google's Nano Banana model, supporting text-to-image creation, virtual try-on, and product placement within realistic scenes.

How do I use MCP NanoBanana?

1. Click on "Install 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., "@MCP NanoBanana generate a photorealistic neon-lit ramen shop in Tokyo 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.

MCP NanoBanana

Python 3.10+ License: MIT MCP

A Model Context Protocol (MCP) server for AI image generation and editing using Google's Nano Banana model through the AceDataCloud API.

Generate and edit AI images directly from Claude, VS Code, or any MCP-compatible client.

Features

Image Generation - Create high-quality images from text prompts
Image Editing - Modify existing images or combine multiple images
Virtual Try-On - Put clothing on people in photos
Product Placement - Place products in realistic scenes
Task Tracking - Monitor generation progress and retrieve results

Quick Start

1. Get API Token

Get your API token from AceDataCloud Platform:

Sign up or log in
Navigate to Nano Banana Images API
Click "Acquire" to get your token

2. Install

# Clone the repository git clone https://github.com/AceDataCloud/MCPNanoBanana.git cd MCPNanoBanana # Install with pip pip install -e . # Or with uv (recommended) uv pip install -e .

3. Configure

# Copy example environment file cp .env.example .env # Edit with your API token echo "ACEDATACLOUD_API_TOKEN=your_token_here" > .env

4. Run

# Run the server mcp-nanobanana # Or with Python directly python main.py

Claude Desktop Integration

Add to your Claude Desktop configuration:

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

{ "mcpServers": { "nanobanana": { "command": "mcp-nanobanana", "env": { "ACEDATACLOUD_API_TOKEN": "your_api_token_here" } } } }

Or if using uv:

{ "mcpServers": { "nanobanana": { "command": "uv", "args": ["run", "--directory", "/path/to/MCPNanoBanana", "mcp-nanobanana"], "env": { "ACEDATACLOUD_API_TOKEN": "your_api_token_here" } } } }

Available Tools

Image Generation

Tool	Description
`nanobanana_generate_image`	Generate an image from a text prompt
`nanobanana_edit_image`	Edit or combine images with AI

Tasks

Tool	Description
`nanobanana_get_task`	Query a single task status
`nanobanana_get_tasks_batch`	Query multiple tasks at once

Usage Examples

Generate Image from Prompt

User: Create an image of a sunset over mountains Claude: I'll generate that image for you. [Calls nanobanana_generate_image with detailed prompt]

Virtual Try-On

User: Put this shirt on this model [Provides two image URLs] Claude: I'll combine these images. [Calls nanobanana_edit_image with both image URLs]

Product Photography

User: Place this product in a modern kitchen scene [Provides product image URL] Claude: I'll create a product scene for you. [Calls nanobanana_edit_image with scene description]

Prompt Writing Tips

For best results, include these elements in your prompts:

Main Subject: What is the primary focus?
Atmosphere: What mood should the image convey?
Lighting: How is the scene illuminated?
Camera/Lens: What photographic style? (85mm portrait, wide-angle, etc.)
Quality Keywords: Technical descriptors (bokeh, film grain, HDR, etc.)

Example Prompt

A photorealistic close-up portrait of an elderly Japanese ceramicist with deep wrinkles and a warm smile. Soft golden hour light streaming through a window. Captured with an 85mm portrait lens, soft bokeh background. Serene and masterful mood.

Configuration

Environment Variables

Variable	Description	Default
`ACEDATACLOUD_API_TOKEN`	API token from AceDataCloud	Required
`ACEDATACLOUD_API_BASE_URL`	API base URL	`https://api.acedata.cloud`
`NANOBANANA_REQUEST_TIMEOUT`	Request timeout in seconds	`180`
`LOG_LEVEL`	Logging level	`INFO`

Command Line Options

mcp-nanobanana --help Options: --version Show version --transport Transport mode: stdio (default) or http --port Port for HTTP transport (default: 8000)

Development

Setup Development Environment

# Clone repository git clone https://github.com/AceDataCloud/MCPNanoBanana.git cd MCPNanoBanana # Create virtual environment python -m venv .venv source .venv/bin/activate # or `.venv\Scripts\activate` on Windows # Install with dev dependencies pip install -e ".[dev,test]"

Run Tests

# Run unit tests pytest # Run with coverage pytest --cov=core --cov=tools # Run integration tests (requires API token) pytest tests/test_integration.py -m integration

Code Quality

# Format code ruff format . # Lint code ruff check . # Type check mypy core tools

Build & Publish

# Install build dependencies pip install -e ".[release]" # Build package python -m build # Upload to PyPI twine upload dist/*

Project Structure

NanoBanana/ ├── core/ # Core modules │ ├── __init__.py │ ├── client.py # HTTP client for NanoBanana API │ ├── config.py # Configuration management │ ├── exceptions.py # Custom exceptions │ ├── server.py # MCP server initialization │ ├── types.py # Type definitions │ └── utils.py # Utility functions ├── tools/ # MCP tool definitions │ ├── __init__.py │ ├── image_tools.py # Image generation/editing tools │ └── task_tools.py # Task query tools ├── prompts/ # MCP prompt templates │ └── __init__.py ├── tests/ # Test suite ├── .env.example # Environment template ├── .gitignore ├── LICENSE ├── main.py # Entry point ├── pyproject.toml # Project configuration └── README.md

API Reference

This server wraps the AceDataCloud NanoBanana API:

NanoBanana Images API - Image generation and editing
NanoBanana Tasks API - Task queries

Use Cases

Portrait Enhancement - Try different clothing on the same person
Product Scene Composition - Place white-background products in realistic environments
Attribute Replacement - Change materials, colors, or variants
Poster Quick Editing - Rapidly change styles or themes
2D to 3D Conversion - Convert images to 3D product mockups
Image Restoration - Restore old or damaged photos

Contributing

Contributions are welcome! Please:

Fork the repository
Create a feature branch (git checkout -b feature/amazing)
Commit your changes (git commit -m 'Add amazing feature')
Push to the branch (git push origin feature/amazing)
Open a Pull Request

License

MIT License - see LICENSE for details.

Links

Made with love by AceDataCloud

MCP NanoBanana

MCP NanoBanana

Features

Quick Start

1. Get API Token

2. Install

3. Configure

4. Run

Claude Desktop Integration

Available Tools

Image Generation

Tasks

Usage Examples

Generate Image from Prompt

Virtual Try-On

Product Photography

Prompt Writing Tips

Example Prompt

Configuration

Environment Variables

Command Line Options

Development

Setup Development Environment

Run Tests

Code Quality

Build & Publish

Project Structure

API Reference

Use Cases

Contributing

License

Links

Resources

Tools

New MCP Servers

Latest Blog Posts

MCP directory API