Metadata-Version: 2.4
Name: mcp-nanobanana-pro
Version: 2026.10.12.1
Summary: MCP Server for NanoBanana AI Image Generation via AceDataCloud API
Project-URL: Homepage, https://github.com/AceDataCloud/NanoBananaMCP
Project-URL: Documentation, https://platform.acedata.cloud/documents/nano-banana-mcp?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=nanobanana_mcp_package_quick_start
Project-URL: Repository, https://github.com/AceDataCloud/NanoBananaMCP
Project-URL: Issues, https://github.com/AceDataCloud/NanoBananaMCP/issues
Project-URL: Changelog, https://github.com/AceDataCloud/NanoBananaMCP/blob/main/CHANGELOG.md
Author-email: AceDataCloud <support@acedata.cloud>
Maintainer-email: AceDataCloud <support@acedata.cloud>
License: MIT
License-File: LICENSE
Keywords: acedata,ai,claude,editing,generation,google,image,llm,mcp,model-context-protocol,nano-banana,nanobanana
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Multimedia :: Graphics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
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Requires-Dist: cryptography>=42.0.0
Requires-Dist: httpx>=0.27.0
Requires-Dist: loguru>=0.7.0
Requires-Dist: mcp<2,>=1.2.0
Requires-Dist: pydantic>=2.0.0
Requires-Dist: python-dotenv>=1.0.0
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Requires-Dist: mypy>=1.10.0; extra == 'all'
Requires-Dist: pre-commit>=3.7.0; extra == 'all'
Requires-Dist: pytest-asyncio>=0.23.0; extra == 'all'
Requires-Dist: pytest-cov>=5.0.0; extra == 'all'
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Provides-Extra: release
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Requires-Dist: pytest>=8.0.0; extra == 'test'
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Description-Content-Type: text/markdown

<!-- Generated by scripts/marketing_readmes.py from README.md; do not edit. -->
# 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/)
[![PyPI downloads](https://img.shields.io/pypi/dm/mcp-nanobanana-pro.svg)](https://pypi.org/project/mcp-nanobanana-pro/)
[![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?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=nanobanana_mcp_package_platform).

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. |

## Connect: hosted OAuth, API token, or local stdio

The hosted endpoint is `https://nanobanana.mcp.acedata.cloud/mcp`. Choose one route for the MCP client:

| Route | When to use it | Credential setup |
|---|---|---|
| Hosted OAuth | The client supports remote MCP OAuth | Add only the URL, then sign in to AceDataCloud and approve access. No token needs to be pasted into client configuration. |
| Hosted API token | The client cannot finish OAuth, or you need an explicit integration credential | Send an AceDataCloud API token in the `Authorization: Bearer …` header. Keep it in a local secret store or environment variable. |
| Local stdio | The client runs a local MCP process | Install `mcp-nanobanana-pro` and pass `ACEDATACLOUD_API_TOKEN` to that process. It still calls the AceDataCloud API. |

The hosted service advertises OAuth metadata and Dynamic Client Registration (DCR). **DCR registers the client application; it is not an API key.** OAuth signs you in and the client sends the resulting Bearer token; it may reuse or create an API credential for the account. Browser sign-in still requires an AceDataCloud account. The hosted service can be metered: review [current service documentation](https://platform.acedata.cloud/documents/nano-banana-mcp?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=nanobanana_mcp_package_quick_start) and displayed pricing before a real operation. Do not configure both an OAuth login and a fixed `Authorization` header for the same server.

### Hosted OAuth examples

- **Claude and Claude Desktop chat:** Add a remote custom connector in `Customize → Connectors → Add custom connector`, enter `https://nanobanana.mcp.acedata.cloud/mcp`, select sign-in, and choose **Register automatically** if Claude asks how to register its OAuth client. Complete consent. Claude Desktop's local `claude_desktop_config.json` is a separate setup. [Claude connector guide](https://support.claude.com/en/articles/11175166-get-started-with-custom-connectors-using-remote-mcp).
- **Claude Code:** `claude mcp add --transport http --scope user nanobanana https://nanobanana.mcp.acedata.cloud/mcp`, then `claude mcp login nanobanana`. Check `/mcp`. [Claude Code MCP guide](https://code.claude.com/docs/en/mcp).
- **Cursor:** Add a remote server with only `https://nanobanana.mcp.acedata.cloud/mcp`. For a project, merge the entry below into `<project>/.cursor/mcp.json`; for personal use, use `~/.cursor/mcp.json`. [Cursor MCP guide](https://cursor.com/docs/mcp).
- **VS Code / Copilot:** Run **MCP: Add Server**, select HTTP, enter `https://nanobanana.mcp.acedata.cloud/mcp`, then finish the browser sign-in. New portable workspace configs use `<project>/.mcp.json`; the VS Code-specific format below uses `<project>/.vscode/mcp.json` or the user profile. Check **MCP: List Servers**. [VS Code MCP setup](https://code.visualstudio.com/docs/agent-customization/mcp-servers).
- **Codex:** `codex mcp add nanobanana --url https://nanobanana.mcp.acedata.cloud/mcp`, then `codex mcp login nanobanana`. Its user settings are in `~/.codex/config.toml`. [Official Codex MCP guide](https://developers.openai.com/codex/mcp/).

Cursor project config (OAuth):

```json
{
  "mcpServers": {
    "nanobanana": {"url": "https://nanobanana.mcp.acedata.cloud/mcp"}
  }
}
```

VS Code-specific workspace config (OAuth):

```json
{
  "servers": {
    "nanobanana": {"type": "http", "url": "https://nanobanana.mcp.acedata.cloud/mcp"}
  }
}
```

### Hosted API token

<!-- BEGIN TOKEN ONBOARDING -->
1. Open [Ace Data Cloud → Applications](https://platform.acedata.cloud/console/applications?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=nanobanana_mcp_package_api_key). Sign in, or register an account first.
2. Find **General application**. If it has not been created, choose **Initialize General Application**. A general key can use the services available to your account; a dedicated application's key is limited to its service. Check the required service/model access and [current pricing](https://platform.acedata.cloud/models?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=nanobanana_mcp_package_models).
3. Copy the **API Key** from the application card, or open **Keys / Manage Keys → Create** to create a separate key for this integration. Give it a recognizable name so you can revoke or rotate it independently.
4. When creating a key, review **Expiration Time**, **Set Usage Limitation**, and **Allowed APIs**. Enable only the restrictions you need, allow the operations you will call, then click **Create** and copy the token from the key list. Task lookup does not grant permission to submit a generation. Confirm the application's balance can cover your first request; any trial allowance is whatever your account currently displays.
5. Copy only the token value, without quotation marks, spaces, or `Bearer `. An API Key / API Token field expects this raw value; only a manually configured HTTP `Authorization` header needs the `Bearer ` prefix. A `platform-...` account-management token cannot replace a generation API key.

![Copy an application API key or open Manage Keys](https://raw.githubusercontent.com/AceDataCloud/NanoBananaDify/2522b2f57210597af2db866445319334a1677a23/_assets/tutorial/get-api-key-en.png)

![Create a separately named key with optional restrictions](https://raw.githubusercontent.com/AceDataCloud/NanoBananaDify/2522b2f57210597af2db866445319334a1677a23/_assets/tutorial/create-api-key-en.png)

Save the key in the client's credential store or the environment variable shown below. Never put it in a prompt, shared workflow, screenshot, or Git commit. If authentication fails, check the full copied value, application/service access, expiration, usage limit, and balance before creating another key.
<!-- END TOKEN ONBOARDING -->

A fixed Bearer header bypasses OAuth. If the header is invalid, remove it before trying browser sign-in; keep the saved credential private.

For Claude Code, the shell expands the token when you add the server; treat the saved user MCP config as a secret:

```bash
export ACEDATACLOUD_API_TOKEN='YOUR_API_TOKEN'
claude mcp add --transport http --scope user nanobanana https://nanobanana.mcp.acedata.cloud/mcp \
  --header "Authorization: Bearer $ACEDATACLOUD_API_TOKEN"
```

For a Claude Code project config, put a variable reference in `<project>/.mcp.json` and set that variable in the environment that launches Claude Code:

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

Cursor uses a different environment-variable syntax in `~/.cursor/mcp.json` or an uncommitted project config:

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

In VS Code, run **MCP: Open User Configuration** and merge this server plus its masked input; `${input:...}` is for VS Code's user/workspace format and is not portable to the Agent Host `.mcp.json` format:

```json
{
  "inputs": [
    {"id": "acedata-nanobanana-token", "type": "promptString", "description": "AceDataCloud API token", "password": true}
  ],
  "servers": {
    "nanobanana": {
      "type": "http",
      "url": "https://nanobanana.mcp.acedata.cloud/mcp",
      "headers": {"Authorization": "Bearer ${input:acedata-nanobanana-token}"}
    }
  }
}
```

For **Cline**, use its MCP configuration UI or CLI file `~/.cline/data/settings/cline_mcp_settings.json`; its remote transport value is `streamableHttp`. For **JetBrains AI Assistant**, add a remote URL from **Settings → Tools → AI Assistant → Model Context Protocol (MCP)**. For **Zed**, use a `context_servers` entry with the URL only for OAuth or add a local Bearer header. These clients have different configuration schemas; follow their current UI rather than copying another client's JSON. [Cline](https://docs.cline.bot/mcp/mcp-overview) · [JetBrains](https://www.jetbrains.com/help/ai-assistant/mcp.html) · [Zed](https://zed.dev/docs/ai/mcp).

### Local stdio

Install the package and give the local process an API token:

```bash
python -m pip install mcp-nanobanana-pro
export ACEDATACLOUD_API_TOKEN='YOUR_API_TOKEN'
mcp-nanobanana-pro
```

For Claude Desktop local MCP, merge this entry into the file opened by its developer settings (`~/Library/Application Support/Claude/claude_desktop_config.json` on macOS). `uvx` requires [uv](https://docs.astral.sh/uv/) on `PATH`:

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

Keep this user-level file private. Self-hosted HTTP uses `mcp-nanobanana-pro --transport http --port 8000`; expose it only with suitable network and TLS controls. Local execution still calls the AceDataCloud API.

### Check before using the service

1. `https://nanobanana.mcp.acedata.cloud/health` returning `{"status":"ok"}` checks endpoint reachability only.
2. Confirm that the MCP client loads tools. The tool list shows MCP discovery, not downstream API access or balance.
3. If you need a full API check, call `nanobanana_generate_image` with your own valid input after reviewing [current service documentation](https://platform.acedata.cloud/documents/nano-banana-mcp?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=nanobanana_mcp_package_quick_start) and displayed pricing. If the result contains a task ID, call `nanobanana_get_task` on that same ID until terminal success or failure. Do not resubmit the operation just to check progress.

For **401**, check which auth route the client used and whether the token or OAuth session is valid. A **403** may mean an account permission or content moderation failure; read the returned error. Insufficient balance and downstream service failures need their own diagnosis. A listed tool or submitted task does not prove a successful result.

## 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 |

## Supported Models

| Model | Resolution |
|---|---|
| `nano-banana` (default) | 1K |
| `nano-banana-2-lite` | 1K |
| `nano-banana-2` | 1K, 2K, 4K |
| `nano-banana-2.1` | 1K, 2K, 4K |
| `nano-banana-pro` | 1K, 2K, 4K |

All five models support generation and editing. The existing `nano-banana`, `nano-banana-2-lite`, `nano-banana-2`, and `nano-banana-pro` models also have `:official` variants. **Nano Banana 2.1 has no `:official` variant**; use exactly `nano-banana-2.1`. Omitting `model` still selects `nano-banana`.

## Usage Examples

### Nano Banana 2.1 Generation and Editing

Pass these arguments to `nanobanana_generate_image`:

```json
{
  "prompt": "A blue ceramic vase on a cream background, soft side lighting, no text",
  "model": "nano-banana-2.1",
  "aspect_ratio": "1:1",
  "resolution": "2K",
  "count": 2
}
```

For `nanobanana_edit_image`, supply your reference image URL:

```json
{
  "prompt": "Change the vase to green while preserving the background and lighting",
  "image_urls": ["https://example.com/vase.png"],
  "model": "nano-banana-2.1",
  "resolution": "4K"
}
```

Generation and editing submit asynchronously. Keep the returned `task_id` and query `nanobanana_get_task` until terminal success or failure; submission alone is not a completed image. Editing without `aspect_ratio` preserves the first reference image's aspect ratio; `resolution` defaults to `1K` if omitted. Review the final image and pixel dimensions before using it.

### 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_LEVEL`                  | Logging level               | `INFO`                      |

### Command Line Options

```bash
mcp-nanobanana-pro --help

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

## Development

### Setup Development Environment

```bash
# Clone repository
git clone https://github.com/AceDataCloud/NanoBananaMCP.git
cd NanoBananaMCP

# 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

```bash
# 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

```bash
# Format code
ruff format .

# Lint code
ruff check .

# Type check
mypy core tools
```

### Build & Publish

```bash
# 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
├── deploy/                 # Deployment configs
│   └── production/
│       ├── deployment.yaml
│       ├── ingress.yaml
│       └── service.yaml
├── .env.example           # Environment template
├── .gitignore
├── Dockerfile             # Docker image for HTTP mode
├── docker-compose.yaml    # Docker Compose config
├── LICENSE
├── main.py                # Entry point
├── pyproject.toml         # Project configuration
└── README.md
```

## API Reference

This server wraps the [AceDataCloud NanoBanana API](https://platform.acedata.cloud/documents/nano-banana-images?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=nanobanana_mcp_package_documents_nano-banana-images):

- [NanoBanana Images API](https://platform.acedata.cloud/documents/nano-banana-images?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=nanobanana_mcp_package_documents_nano-banana-images) - Image generation and editing
- [NanoBanana Tasks API](https://platform.acedata.cloud/documents/nano-banana-tasks?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=nanobanana_mcp_package_documents_nano-banana-tasks) - 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:

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

## Documentation

<!-- canonical-documentation -->
[Documentation](https://platform.acedata.cloud/documents/nano-banana-mcp?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=nanobanana_mcp_package_quick_start)

## License

MIT License - see [LICENSE](LICENSE) for details.

## Links

- [AceDataCloud Platform](https://platform.acedata.cloud?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=nanobanana_mcp_package_platform)
- [Model Context Protocol](https://modelcontextprotocol.io)
- [MCP Python SDK](https://github.com/modelcontextprotocol/python-sdk)

---

Made with love by [AceDataCloud](https://platform.acedata.cloud?utm_source=pypi&utm_medium=referral&utm_campaign=evergreen&utm_content=nanobanana_mcp_package_platform)
