Nano Banana by Ace Data Cloud

io.github.AceDataCloud由 GitHub 帳號 AceDataCloud 發布v2026.11.7.0更新於 Nov 7, 2026

Generate and edit Nano Banana images with Ace Data Cloud; retrieve the same task for results.

已驗證Streamable HTTP可網頁執行媒體與設計AI 與機器學習

概覽

AI 產生的概覽

讓助理透過 Ace Data Cloud 呼叫 Google Nano Banana 模型生成與編輯圖片,並查詢非同步任務結果。

可以做什麼
  • 依文字提示生成圖片,可選擇模型、長寬比、解析度與數量
  • 依參考圖片網址編輯或合成圖片,包含虛擬試穿與產品情境擺放
  • 在本機列出可用的模型識別碼,不呼叫生成 API
  • 查詢單一或多個任務的狀態與結果
適用情境
適合在聊天用戶端裡直接完成圖片創作或修圖:概念圖、產品情境、服裝試穿、風格或顏色替換、老照片修復。生成採非同步方式,適合先送出任務再輪詢結果的流程。
執行需求
可使用託管端點並以 OAuth 登入 Ace Data Cloud 帳號,或在本機執行 PyPI 套件 mcp-nanobanana-pro(以 uvx 或 pip 啟動,需要 Python 與 PATH 中的 uv)。本機方式與權杖方式需要 Ace Data Cloud API 權杖,放在 ACEDATACLOUD_API_TOKEN 環境變數或 Authorization Bearer 標頭中。需要餘額充足的 Ace Data Cloud 帳號。
安裝前請注意
生成與編輯為付費操作,會從 Ace Data Cloud 餘額扣款;送出前先確認目前價格,不要自動重試付費呼叫。API 權杖屬於機密:請存放在憑證儲存區或環境變數,不要寫進提示詞、截圖或提交紀錄,也不要同時設定 OAuth 與固定 Authorization 標頭。傳入的參考圖片會送到 Ace Data Cloud。查詢任務不代表取得送出生成的權限。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Nano Banana by Ace Data Cloud,將其新增到工作區。
  2. 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
  3. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/io.github.AceDataCloud%2Fmcp-nanobanana-pro/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。

{
  "mcpServers": {
    "nano-banana-by-ace-data-cloud": {
      "type": "http",
      "url": "https://nanobanana.mcp.acedata.cloud/mcp"
    }
  }
}

README

Nano Banana by Ace Data Cloud

简体中文安装与首用指南

[PyPI version] [PyPI downloads] [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.

Use Nano Banana in Glama

Find the Ace-provided Nano Banana source listing or remote connector. Follow the Glama installation, API Token and first-use guide. 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 · 简体中文. 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, 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

ToolDescription
nanobanana_generate_imageGenerate an AI image from a text prompt using Google's Nano Banana model.
nanobanana_edit_imageEdit or combine images using AI based on a text prompt.
nanobanana_list_modelsList accepted model identifiers locally, without an API request or image generation.
nanobanana_get_taskQuery the status and result of an image generation or edit task.
nanobanana_get_tasks_batchQuery multiple image generation/edit tasks at once.

Verify the connection before generating

After installation, discover the server's tools and call nanobanana_list_models with no arguments. This reference tool returns locally defined model or action information without calling a generation API. It does not validate your application key, account balance, service access, or current price. Your client's Chat model can still create separate charges.

To check authenticated access without creating media, query a task already owned by your application using the task-lookup tool and the same original task ID. If you have no existing task, stop after discovery/reference output; do not generate media just to test installation. Review current pricing before any new generation.

For missing tools, reconnect and refresh the tool list. For 401/403, check the existing application's key, service permissions, Allowed APIs, expiration and usage limit before replacing credentials. Keep a task/trace ID for other failures, never your key; do not automatically retry a paid operation.

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:

RouteWhen to use itCredential setup
Hosted OAuthThe client supports remote MCP OAuthAdd only the URL, then sign in to AceDataCloud and approve access. No token needs to be pasted into client configuration.
Hosted API tokenThe client cannot finish OAuth, or you need an explicit integration credentialSend an AceDataCloud API token in the Authorization: Bearer … header. Keep it in a local secret store or environment variable.
Local stdioThe client runs a local MCP processInstall 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 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.
  • 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.
  • 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.
  • 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.
  • 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.

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. 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.
  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]

[Create a separately named key with optional restrictions]

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 <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 · JetBrains · Zed.

Local stdio

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

bash
python -m pip install mcp-nanobanana-proexport 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 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 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

ToolDescription
nanobanana_generate_imageGenerate an image from a text prompt
nanobanana_edit_imageEdit or combine images with AI

Tasks

ToolDescription
nanobanana_get_taskQuery a single task status
nanobanana_get_tasks_batchQuery multiple tasks at once

Supported Models

ModelResolution
nano-banana (default)1K
nano-banana-2-lite1K
nano-banana-21K, 2K, 4K
nano-banana-2.11K, 2K, 4K
nano-banana-pro1K, 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 ceramicistwith deep wrinkles and a warm smile. Soft golden hour light streamingthrough a window. Captured with an 85mm portrait lens, soft bokehbackground. Serene and masterful mood.

Configuration

Environment Variables

VariableDescriptionDefault
ACEDATACLOUD_API_TOKENAPI token from AceDataCloudRequired
ACEDATACLOUD_API_BASE_URLAPI base URLhttps://api.acedata.cloud
ACEDATACLOUD_OAUTH_CLIENT_IDOAuth client ID (hosted mode)—
ACEDATACLOUD_PLATFORM_BASE_URLPlatform base URLhttps://platform.acedata.cloud
NANOBANANA_REQUEST_TIMEOUTRequest timeout in seconds1800
LOG_LEVELLogging levelINFO

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 repositorygit clone https://github.com/AceDataCloud/NanoBananaMCP.gitcd NanoBananaMCP
# Create virtual environmentpython -m venv .venvsource .venv/bin/activate  # or `.venv\Scripts\activate` on Windows
# Install with dev dependenciespip install -e ".[dev,test]"

Run Tests

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

Code Quality

bash
# Format coderuff format .
# Lint coderuff check .
# Type checkmypy core tools

Build & Publish

bash
# Install build dependenciespip install -e ".[release]"
# Build packagepython -m build
# Upload to PyPItwine 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:

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

License

MIT License - see LICENSE for details.

Links


Made with love by AceDataCloud

Cline setup / Cline 图文接入

Nano Banana by Ace Data Cloud — English guide · 完整中文图文步骤. 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。

來源:README.md,提交 4966a20

工具

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版本歷史

17
  1. v2026.11.7.0最新Nov 7, 2026
  2. v2026.11.1.0Nov 1, 2026
  3. v2026.10.19.5Oct 19, 2026
  4. v2026.10.18.6Oct 18, 2026
  5. v2026.10.18.0Oct 18, 2026
  6. v2026.10.12.1Oct 12, 2026
  7. v2026.10.9.1Oct 9, 2026
  8. v2026.10.9.0Oct 9, 2026
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  10. v2026.10.7.1Oct 7, 2026
  11. v2026.10.6.0Oct 6, 2026
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  13. v2026.10.4.1Oct 4, 2026
  14. v2026.10.4.0Oct 4, 2026
  15. v2026.9.30.0Sep 30, 2026
  16. v2026.9.29.0Sep 29, 2026
  17. v2026.9.5.0Sep 16, 2026

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