Mcp Qwen Image

io.github.AceDataCloud由 GitHub 账号 AceDataCloud 发布v2026.11.1.0更新于 Nov 1, 2026

MCP server for Qwen Image 3 AI image generation

已验证Streamable HTTP可网页运行媒体与设计AI 与机器学习

概览

AI 生成的概览

面向 Qwen Image 3 的 MCP 服务器,让助手通过 Ace Data Cloud 生成和编辑图片,并查询任务状态。

可以做什么
  • 根据文本提示生成 1 至 6 张 Qwen Image 3 图片。
  • 使用 1 至 3 张参考图和一段文字指令编辑图片。
  • 列出可用的 Qwen Image 3 模型并比较其用途。
  • 查询单个或多个异步生成、编辑任务,获取状态与结果图片链接。
适用场景
适合希望助手在对话中直接创建或修改图片,并轮询异步任务直到完成的场景。适合已拥有或愿意注册 Ace Data Cloud 账号的用户。
运行要求
可使用托管端点并通过 OAuth 登录,或以 ACEDATACLOUD_API_TOKEN 提供 Ace Data Cloud API 令牌(本地 stdio 经 uvx 或 pip,托管方式则放在 Authorization Bearer 头中)。本地运行需要 PATH 中有 Python 或 uv。所有方式都需要访问 Ace Data Cloud API 的网络连接。
安装前请注意
该服务可能按量计费,正式操作前请查看当前定价与账户余额。API 令牌属于凭据:应保存在密钥库或环境变量中,不要写入提示词、共享配置或提交记录,也不要同时配置 OAuth 登录和固定 Authorization 头。生成与编辑会提交任务并可能消耗余额,也可能遇到内容审核或权限错误。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Mcp Qwen Image,将其添加到工作区。
  2. 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
  3. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.AceDataCloud%2Fmcp-qwen-image/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。

{
  "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.

来源:README.md,提交 9366ce4

工具

5

qwen_image_generate

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

输入参数nseedsizemodelprompt必填watermarkcallback_urlprompt_extendenable_thinkingnegative_promptprompt_extend_mode

qwen_image_edit

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

输入参数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.

无需输入参数。

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.

输入参数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.

输入参数task_ids必填

版本历史

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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