Qwen Image Mcp

io.github.runapi-builder由 GitHub 帳號 runapi-builder 發布v0.2.1更新於 Oct 29, 2026

RunAPI MCP server for Qwen Image: create tasks, poll status, check pricing.

已驗證STDIO僅桌面媒體與設計AI 與機器學習

概覽

AI 產生的概覽

針對 Qwen Image 模型系列的 RunAPI MCP 伺服器:建立文生圖、編輯與重混任務,輪詢結果並查詢價格。

可以做什麼
  • 建立 Qwen Image 任務:文生圖、編輯影像、重混影像,可選擇等待完成
  • 查詢既有任務的目前狀態與最新結果資料
  • 在送出前查詢 Qwen Image 模型系列的 RunAPI 價格
  • 透過瀏覽器登入流程完成驗證,並將 API 金鑰存到共用的 RunAPI 設定檔
適用情境
適合希望助理透過 RunAPI 上的 Qwen Image 產生、編輯或重混影像,且只限定在該模型系列而非整個 RunAPI 目錄的情境。適用於能執行本機 stdio 伺服器的 Claude Code、Cursor、VS Code、Codex 等宿主。
執行需求
以 stdio 在本機執行,通常透過 npx 呼叫 npm 套件。建立任務與輪詢需要 RunAPI 帳號:使用 login 工具(瀏覽器流程,寫入 RunAPI 設定檔),或在無介面主機上設定 RUNAPI_API_KEY 環境變數。價格查詢不需金鑰。需要連線至 RunAPI 的網路。
安裝前請注意
建立任務會在 RunAPI 上產生費用,昂貴或批次請求前應先確認成本與範圍。login 工具會把 API 金鑰寫入共用設定檔,請勿將該檔案或 RUNAPI_API_KEY 提交到版本控制。建立任務會把提示詞與影像傳送給 RunAPI,產生的媒體以連結形式回傳,助理並未實際檢視內容。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Qwen Image Mcp,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

RunAPI Qwen Image MCP Server

Qwen Image API access for AI agents: run image generation operations, poll asynchronous results, and check pricing through one focused MCP server.

Works with Claude Code, Codex, Cursor, Windsurf, VS Code, Roo Code, and any MCP-compatible host.

[npm version] [GitHub repository] [Apache-2.0 license] [MCP Server] [3 models]

Install | Tools | Models | Agent Prompts | Configuration | Links


Why This Package?

@runapi.ai/qwen-image-mcp is a focused Model Context Protocol server for the Qwen Image model line on RunAPI. It gives MCP-compatible assistants direct access to 3 endpoints and 3 model variants without loading the full RunAPI catalog.

Use this per-model server when an agent should stay scoped to Qwen Image. Use @runapi.ai/mcp when one assistant should discover every RunAPI model line.


Install

Add it to Claude Code:

bash
claude mcp add qwen-image -s user -- npx -y @runapi.ai/qwen-image-mcp

Use project scope when the server should be shared with a repository:

bash
claude mcp add qwen-image -s project -- npx -y @runapi.ai/qwen-image-mcp

Codex, Cursor, Windsurf, VS Code, Roo Code, and other MCP hosts can use the same stdio command:

json
{  "mcpServers": {    "qwen-image": {      "command": "npx",      "args": ["-y", "@runapi.ai/qwen-image-mcp"]    }  }}

check_pricing works before sign-in. For task creation and status polling, ask your assistant to call the login tool. It opens a browser login and saves credentials to ~/.config/runapi/config.json, the same file used by runapi login. Headless and CI hosts can still set RUNAPI_API_KEY before starting the MCP host.

Ready-made examples are in examples/ for Claude, Cursor, Windsurf, VS Code, and Roo Code.


Tools

ToolAuthPurpose
edit_imageYesCreate a Qwen Image edit image task and optionally wait for a terminal status. Returns the task id, status, and output URLs.
remix_imageYesCreate a Qwen Image remix image task and optionally wait for a terminal status. Returns the task id, status, and output URLs.
text_to_imageYesCreate a Qwen Image text to image task and optionally wait for a terminal status. Returns the task id, status, and output URLs.
get_taskYesFetch the current status and latest payload for an existing task.
check_pricingNoLook up current pricing for a Qwen Image model and endpoint.

Models

Qwen Image covers 3 model variants across 3 endpoints. Each tool accepts the models listed for it:

ToolModels
edit_imageqwen-image-edit-image
remix_imageqwen-image-remix-image
text_to_imageqwen-image-text-to-image

Model availability can change between releases. Use check_pricing or the Qwen Image model page for the current catalog view.


Agent Prompts

Ask your assistant in natural language; it can inspect pricing, create the task, and return the task id plus output URLs.

Create a task

text
Run a Qwen Image edit image task with RunAPI.

The assistant can call check_pricing, then edit_image, and return the task id, status, and output URLs.

Submit without waiting

text
Create the task but don't wait for it to finish.

The assistant calls the create tool with wait: false and returns the task id. Check on it later with get_task.

Check pricing before creating

text
Check current Qwen Image pricing, then create the task if it matches my request.

The assistant calls check_pricing and can link to the Qwen Image model page for the canonical catalog entry.


Configuration

The server resolves auth in this order:

  1. RUNAPI_API_KEY environment variable, useful for headless and CI hosts
  2. ~/.config/runapi/config.json, created by the MCP login tool or runapi login
  3. No key, which still allows check_pricing

The config file is normally managed by login. A pre-provisioned headless config can use:

json
{  "apiKey": "your_runapi_key"}

Do not commit real API keys.


Links

ResourceURL
Qwen Image model pagehttps://runapi.ai/models/qwen-image
npm package@runapi.ai/qwen-image-mcp
GitHub repositoryrunapi-ai/qwen-image-mcp
RunAPI MCP overviewrunapi.ai/mcp
RunAPI docsrunapi.ai/docs

License

Licensed under the Apache License, Version 2.0.

來源:README.md,提交 f2552d4

工具

6

login

Authenticate RunAPI by opening a browser PKCE login flow and saving the API key to ~/.config/runapi/config.json.

輸入參數force

edit_image

Create a Qwen Image task on RunAPI (edit image). Returns a task id, status, and output URLs.

輸入參數seedwaitmodelprompt必填timeout_msaspect_ratiocallback_urloutput_formatpoll_interval_mssource_image_url必填

remix_image

Create a Qwen Image task on RunAPI (remix image). Returns a task id, status, and output URLs.

輸入參數seedwaitmodelprompt必填strengthtimeout_mscallback_urloutput_formatpoll_interval_mssource_image_url必填

text_to_image

Create a Qwen Image task on RunAPI (text to image). Returns a task id, status, and output URLs.

輸入參數seedwaitmodelprompt必填timeout_msaspect_ratiocallback_urloutput_formatpoll_interval_ms

get_task

Fetch the current status and latest result payload for a qwen-image task.

輸入參數action必填task_id必填

check_pricing

Look up RunAPI pricing for the qwen-image model line.

輸入參數modelaction

版本歷史

3
  1. v0.2.1最新Oct 22, 2026
  2. v0.2.0Sep 30, 2026
  3. v0.1.1Sep 16, 2026

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