NanoBananaMCP

# NanoBananaMCP

<!-- mcp-name: io.github.AceDataCloud/mcp-nanobanana-pro -->

[![PyPI version](https://img.shields.io/pypi/v/mcp-nanobanana-pro.svg)](https://pypi.org/project/mcp-nanobanana-pro/)
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[![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![MCP](https://img.shields.io/badge/MCP-Compatible-green.svg)](https://modelcontextprotocol.io)

A [Model Context Protocol (MCP)](https://modelcontextprotocol.io) server for AI image generation and editing using [Google's Nano Banana](https://deepmind.google/technologies/imagen/) model through the [AceDataCloud API](https://platform.acedata.cloud).

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

## Tool Reference

| Tool | Description |
|------|-------------|
| `nanobanana_generate_image` | Generate an AI image from a text prompt using Google's Nano Banana model. |
| `nanobanana_edit_image` | Edit or combine images using AI based on a text prompt. |
| `nanobanana_get_task` | Query the status and result of an image generation or edit task. |
| `nanobanana_get_tasks_batch` | Query multiple image generation/edit tasks at once. |

## Quick Start

### 1. Get Your API Token

1. Sign up at [AceDataCloud Platform](https://platform.acedata.cloud)
2. Go to the [API documentation page](https://platform.acedata.cloud/documents/23985a11-d713-41d1-ad84-24b021805b3d)
3. Click **"Acquire"** to get your API token
4. Copy the token for use below

### 2. Use the Hosted Server (Recommended)

AceDataCloud hosts a managed MCP server — **no local installation required**.

**Endpoint:** `https://nanobanana.mcp.acedata.cloud/mcp`

All requests require a Bearer token. Use the API token from Step 1.

#### Claude.ai

Connect directly on [Claude.ai](https://claude.ai) with OAuth — **no API token needed**:

1. Go to Claude.ai **Settings → Integrations → Add More**
2. Enter the server URL: `https://nanobanana.mcp.acedata.cloud/mcp`
3. Complete the OAuth login flow
4. Start using the tools in your conversation

#### Claude Desktop

Add to your config (`~/Library/Application Support/Claude/claude_desktop_config.json` on macOS):

```json
{
  "mcpServers": {
    "nanobanana": {
      "type": "streamable-http",
      "url": "https://nanobanana.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}
```

#### Cursor / Windsurf

Add to your MCP config (`.cursor/mcp.json` or `.windsurf/mcp.json`):

```json
{
  "mcpServers": {
    "nanobanana": {
      "type": "streamable-http",
      "url": "https://nanobanana.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}
```

#### VS Code (Copilot)

Add to your VS Code MCP config (`.vscode/mcp.json`):

```json
{
  "servers": {
    "nanobanana": {
      "type": "streamable-http",
      "url": "https://nanobanana.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}
```

Or install the [Ace Data Cloud MCP extension](https://marketplace.visualstudio.com/items?itemName=acedatacloud.acedatacloud-mcp) for VS Code, which registers the hosted MCP servers with one-click setup.

#### JetBrains IDEs

1. Go to **Settings → Tools → AI Assistant → Model Context Protocol (MCP)**
2. Click **Add** → **HTTP**
3. Paste:

```json
{
  "mcpServers": {
    "nanobanana": {
      "url": "https://nanobanana.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}
```


#### Claude Code

Claude Code supports MCP servers natively:

```bash
claude mcp add nanobanana --transport http https://nanobanana.mcp.acedata.cloud/mcp \
  -h "Authorization: Bearer YOUR_API_TOKEN"
```

Or add to your project's `.mcp.json`:

```json
{
  "mcpServers": {
    "nanobanana": {
      "type": "streamable-http",
      "url": "https://nanobanana.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}
```

#### Cline

Add to Cline's MCP settings (`.cline/mcp_settings.json`):

```json
{
  "mcpServers": {
    "nanobanana": {
      "type": "streamable-http",
      "url": "https://nanobanana.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}
```

#### Amazon Q Developer

Add to your MCP configuration:

```json
{
  "mcpServers": {
    "nanobanana": {
      "type": "streamable-http",
      "url": "https://nanobanana.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}
```

#### Roo Code

Add to Roo Code MCP settings:

```json
{
  "mcpServers": {
    "nanobanana": {
      "type": "streamable-http",
      "url": "https://nanobanana.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}
```

#### Continue.dev

Add to `.continue/config.yaml`:

```yaml
mcpServers:
  - name: nanobanana
    type: streamable-http
    url: https://nanobanana.mcp.acedata.cloud/mcp
    headers:
      Authorization: "Bearer YOUR_API_TOKEN"
```

#### Zed

Add to Zed's settings (`~/.config/zed/settings.json`):

```json
{
  "language_models": {
    "mcp_servers": {
      "nanobanana": {
        "url": "https://nanobanana.mcp.acedata.cloud/mcp",
        "headers": {
          "Authorization": "Bearer YOUR_API_TOKEN"
        }
      }
    }
  }
}
```

#### cURL Test

```bash
# Health check (no auth required)
curl https://nanobanana.mcp.acedata.cloud/health

# MCP initialize
curl -X POST https://nanobanana.mcp.acedata.cloud/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}}}'
```

### 3. Or Run Locally (Alternative)

If you prefer to run the server on your own machine:

```bash
# Install from PyPI
pip install mcp-nanobanana-pro
# or
uvx mcp-nanobanana-pro

# Set your API token
export ACEDATACLOUD_API_TOKEN="your_token_here"

# Run (stdio mode for Claude Desktop / local clients)
mcp-nanobanana-pro

# Run (HTTP mode for remote access)
mcp-nanobanana-pro --transport http --port 8000
```

#### Claude Desktop (Local)

```json
{
  "mcpServers": {
    "nanobanana": {
      "command": "uvx",
      "args": ["mcp-nanobanana-pro"],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "your_token_here"
      }
    }
  }
}
```

#### Docker (Self-Hosting)

```bash
docker pull ghcr.io/acedatacloud/mcp-nanobanana-pro:latest
docker run -p 8000:8000 ghcr.io/acedatacloud/mcp-nanobanana-pro:latest
```

Clients connect with their own Bearer token — the server extracts the token from each request's `Authorization` header.

## 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` |
| `ACEDATACLOUD_OAUTH_CLIENT_ID`  | OAuth client ID (hosted mode) | —                           |
| `ACEDATACLOUD_PLATFORM_BASE_URL` | Platform base URL            | `https://platform.acedata.cloud` |
| `NANOBANANA_REQUEST_TIMEOUT` | Request timeout in seconds  | `1800`                      |
| `LOG_LE