Mcp Qwen Image

io.github.AceDataCloud由 GitHub 帳號 AceDataCloud 發布v2026.11.1.0更新於 Nov 1, 2026

MCP server for Qwen Image 3 AI image generation

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

針對 Qwen Image 3 的 MCP 伺服器,讓助理透過 Ace Data Cloud 生成與編輯圖片,並查詢任務狀態。

可以做什麼
  • 依文字提示生成 1 至 6 張 Qwen Image 3 圖片。
  • 以 1 至 3 張參考圖加一段文字指令編輯圖片。
  • 列出可用的 Qwen Image 3 模型並比較其用途。
  • 查詢單一或多個非同步生成、編輯任務,取得狀態與結果圖片連結。
適用情境
適合希望助理在對話中直接產生或修改圖片,並輪詢非同步任務直到完成的場合。適合已擁有或願意註冊 Ace Data Cloud 帳號的使用者。
執行需求
可使用託管端點並以 OAuth 登入,或以 ACEDATACLOUD_API_TOKEN 提供 Ace Data Cloud API 權杖(本機 stdio 經 uvx 或 pip,託管方式則放在 Authorization Bearer 標頭中)。本機執行需要 PATH 中有 Python 或 uv。所有方式都需要連線至 Ace Data Cloud API 的網路。
安裝前請注意
此服務可能按用量計費,正式操作前請確認目前定價與帳戶餘額。API 權杖屬於憑證:應存放於密鑰庫或環境變數,不要寫入提示詞、共用設定或提交紀錄,也不要同時設定 OAuth 登入與固定 Authorization 標頭。生成與編輯會送出任務並可能消耗餘額,也可能遇到內容審核或權限錯誤。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Mcp Qwen Image,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-qwen-image/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": {
    "qwen-image": {
      "type": "http",
      "url": "https://qwen-image.mcp.acedata.cloud/mcp"
    }
  }
}

README

Qwen Image MCP Server

Documentation

Model Context Protocol server for Qwen Image 3 generation and editing through Ace Data Cloud.

Connect: hosted OAuth, API token, or local stdio

The hosted endpoint is https://qwen-image.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-qwen-image 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://qwen-image.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 qwen-image https://qwen-image.mcp.acedata.cloud/mcp, then claude mcp login qwen-image. Check /mcp. Claude Code MCP guide.
  • Cursor: Add a remote server with only https://qwen-image.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://qwen-image.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 qwen-image --url https://qwen-image.mcp.acedata.cloud/mcp, then codex mcp login qwen-image. Its user settings are in ~/.codex/config.toml. Official Codex MCP guide.

Cursor project config (OAuth):

json
{  "mcpServers": {    "qwen-image": {"url": "https://qwen-image.mcp.acedata.cloud/mcp"}  }}

VS Code-specific workspace config (OAuth):

json
{  "servers": {    "qwen-image": {"type": "http", "url": "https://qwen-image.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 qwen-image https://qwen-image.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": {    "qwen-image": {      "type": "http",      "url": "https://qwen-image.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": {    "qwen-image": {      "url": "https://qwen-image.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-qwen-image-token", "type": "promptString", "description": "AceDataCloud API token", "password": true}  ],  "servers": {    "qwen-image": {      "type": "http",      "url": "https://qwen-image.mcp.acedata.cloud/mcp",      "headers": {"Authorization": "Bearer ${input:acedata-qwen-image-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-qwen-imageexport ACEDATACLOUD_API_TOKEN='YOUR_API_TOKEN'mcp-qwen-image

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": {    "qwen-image": {      "command": "uvx",      "args": ["mcp-qwen-image"],      "env": {"ACEDATACLOUD_API_TOKEN": "YOUR_API_TOKEN"}    }  }}

Keep this user-level file private. Self-hosted HTTP uses mcp-qwen-image --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://qwen-image.mcp.acedata.cloud/health returning {"status":"ok"} checks endpoint reachability only.
  2. Confirm that the MCP client loads tools. qwen_image_list_models is a reference tool; it does not verify downstream API access or balance.
  3. Use a documented service operation for an end-to-end check after reviewing current service documentation and displayed pricing. If the result contains a task ID, call qwen_image_get_task on that same ID until terminal success or failure. A finished_at: null task is still running even when response.success is false. 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.

Tools

ToolPurpose
qwen_image_generateGenerate 1–6 images from text
qwen_image_editEdit with 1–3 reference images
qwen_image_get_taskQuery one asynchronous task
qwen_image_get_tasks_batchQuery multiple tasks
qwen_image_list_modelsCompare Standard and Pro

Models: qwen-image-3.0 (default) and qwen-image-3.0-pro.

來源:README.md,提交 9366ce4

工具

5

qwen_image_generate

Generate one to six images from text with Qwen Image 3.

輸入參數nseedsizemodelprompt必填watermarkcallback_urlprompt_extendenable_thinkingnegative_promptprompt_extend_mode

qwen_image_edit

Edit images with one to three references and a text instruction.

輸入參數nseedsizemodelprompt必填watermarkimage_urls必填callback_urlprompt_extendenable_thinkingnegative_promptprompt_extend_mode

qwen_image_list_models

List Qwen Image 3 models and their intended use.

無需輸入參數。

qwen_image_get_task

Query the status and result of a Qwen Image image generation or edit task. Use this to check if a generation/edit is complete and retrieve the resulting image URLs and metadata. Use this when: - You want to check if an image generation has completed - You need to retrieve image URLs from a previous generation - You want to get the full details of a generated/edited image Returns: Task status and image information including URLs, prompts, and metadata.

輸入參數task_id必填

qwen_image_get_tasks_batch

Query multiple Qwen Image image tasks at once. Efficiently check the status of multiple tasks in a single request. More efficient than calling qwen_image_get_task multiple times. Use this when: - You have multiple pending generations to check - You want to get status of several images at once - You're tracking a batch of generations Returns: Status and image information for all queried tasks.

輸入參數task_ids必填

版本歷史

9
  1. v2026.11.1.0最新Nov 1, 2026
  2. v2026.10.18.2Oct 18, 2026
  3. v2026.10.12.0Oct 12, 2026
  4. v2026.10.11.0Oct 11, 2026
  5. v2026.10.8.0Oct 8, 2026
  6. v2026.10.7.1Oct 7, 2026
  7. v2026.10.6.0Oct 6, 2026
  8. v2026.10.4.1Oct 4, 2026
  9. v2026.8.24.1Sep 16, 2026

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