# Nano Banana by Ace Data Cloud [简体中文安装与首用指南](https://github.com/AceDataCloud/NanoBananaMCP/blob/main/readme/README_zh_Hans.md) [![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=github&utm_medium=referral&utm_campaign=evergreen&utm_content=nanobanana_mcp_readme_platform). Generate and edit AI images directly from Claude, VS Code, or any MCP-compatible client. ## Use Nano Banana in Glama Find the Ace-provided [Nano Banana source listing](https://glama.ai/mcp/servers/AceDataCloud/NanoBananaMCP) or [remote connector](https://glama.ai/mcp/connectors/io.github.AceDataCloud/mcp-nanobanana-pro). Follow the [Glama installation, API Token and first-use guide](https://github.com/AceDataCloud/NanoBananaMCP/blob/main/readme/GLAMA.md). Public discovery and a successful personal connection are separate checks; generation uses your Ace account balance. ## Nano Banana in goose Use the independent **Nano Banana by Ace Data Cloud** native goose plugin: [install and API Token guide](goose/README.md) · [简体中文](goose/README_zh_Hans.md). It reuses this MCP server and does not imply goose Marketplace or default-provider inclusion. ## Find the Nano Banana integration in the official MCP Registry Open [Nano Banana in the official MCP Registry](https://registry.modelcontextprotocol.io/?q=io.github.AceDataCloud%2Fmcp-nanobanana-pro), expand the matching `io.github.AceDataCloud` entry, and use its **Packages** or **Remotes** installation information in a client that consumes MCP catalogs. This is the Nano Banana integration provided by Ace Data Cloud; it is not an endorsement by the model vendor. The Registry is a directory, not the app that runs a tool. Search for `mcp-nanobanana-pro` (or `io.github.AceDataCloud/mcp-nanobanana-pro`) to locate the exact entry. The official Registry search currently matches server names; spaces in a display title do not create extra search aliases. If your client does not consume the catalog, use the client-specific connection instructions below and check **Applications → General application** for your token, service permissions, balance and current price. Keep the original task ID when checking asynchronous results. ## 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=github&utm_medium=referral&utm_campaign=evergreen&utm_content=nanobanana_mcp_readme_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 `/.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 `/.mcp.json`; the VS Code-specific format below uses `/.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 1. Open [Ace Data Cloud → Applications](https://platform.acedata.cloud/console/applications?utm_source=github&utm_medium=referral&utm_campaign=evergreen&utm_content=nanobanana_mcp_readme_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=github&utm_medium=referral&utm_campaign=evergreen&utm_content=nanobanana_mcp_readme_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. 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 `/.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=github&utm_medium=referral&utm_campaign=evergreen&utm_content=nanobanana_mcp_readme_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=github&utm_medium=referral&utm_campaign=evergreen&utm_content=nanobanana_mcp_readme_documents_nano-banana-images): - [NanoBanana Images API](https://platform.acedata.cloud/documents/nano-banana-images?utm_source=github&utm_medium=referral&utm_campaign=evergreen&utm_content=nanobanana_mcp_readme_documents_nano-banana-images) - Image generation and editing - [NanoBanana Tasks API](https://platform.acedata.cloud/documents/nano-banana-tasks?utm_source=github&utm_medium=referral&utm_campaign=evergreen&utm_content=nanobanana_mcp_readme_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 [Documentation](https://platform.acedata.cloud/documents/nano-banana-mcp?utm_source=github&utm_medium=referral&utm_campaign=evergreen&utm_content=nanobanana_mcp_readme_quick_start) ## License MIT License - see [LICENSE](LICENSE) for details. ## Links - [AceDataCloud Platform](https://platform.acedata.cloud?utm_source=github&utm_medium=referral&utm_campaign=evergreen&utm_content=nanobanana_mcp_readme_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=github&utm_medium=referral&utm_campaign=evergreen&utm_content=nanobanana_mcp_readme_platform) ## Cline setup / Cline 图文接入 [Nano Banana by Ace Data Cloud — English guide](https://github.com/AceDataCloud/MCPs/blob/4a2fb4e17d322bc22c5742ab3a5bd48b24ec5bdc/nanobanana/docs/cline.md) · [完整中文图文步骤](https://github.com/AceDataCloud/MCPs/blob/4a2fb4e17d322bc22c5742ab3a5bd48b24ec5bdc/nanobanana/docs/cline.md#中文步骤). The Cline marketplace submission is pending review as of 2026-10-18; the guide labels the manual fallback separately. / Cline 官方目录投稿仍待审核，手动接入不等于已上架。