Z 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 Z 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

RunAPI 的 Z Image MCP 伺服器讓助理依文字提示生成圖片、查詢任務狀態,並查看 z-image 模型系列的定價。

可以做什麼
  • 在 RunAPI 的 Z Image 模型上建立文生圖任務,可選擇等待完成,並回傳任務 ID、狀態與輸出連結
  • 查詢既有圖片任務的目前狀態與最新結果資料
  • 在送出任務前查詢 z-image 模型系列的 RunAPI 定價
  • 透過瀏覽器登入流程完成驗證,並把 RunAPI API 金鑰存到共用設定檔
適用情境
當希望助理能透過 RunAPI 的 Z Image 模型生成圖片,且只限定在這一個模型系列而非整個 RunAPI 目錄時使用。也適合在執行任務前先查價,或先送出任務稍後再輪詢結果。
執行需求
以 stdio 方式在本機執行,通常透過 npm 套件以 npx 啟動,因此需要 Node.js。建立任務與查詢狀態需要 RunAPI 帳號:可用 login 工具(瀏覽器 PKCE 登入並寫入 RunAPI 設定檔),或在無介面與 CI 環境設定 RUNAPI_API_KEY 環境變數。查價不需金鑰。需要能連線至 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 金鑰寫入本機共用設定檔,請勿將該檔案或 RUNAPI_API_KEY 的值提交到版本庫。提示詞與任務資料會傳送到 RunAPI 服務。生成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 Z 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 Z Image MCP Server

Z 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] [1 models]

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


Why This Package?

@runapi.ai/z-image-mcp is a focused Model Context Protocol server for the Z Image model line on RunAPI. It gives MCP-compatible assistants direct access to 1 endpoint and 1 model variant without loading the full RunAPI catalog.

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


Install

Add it to Claude Code:

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

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

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

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

json
{  "mcpServers": {    "z-image": {      "command": "npx",      "args": ["-y", "@runapi.ai/z-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
text_to_imageYesCreate a Z 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 Z Image model and endpoint.

Models

Z Image covers 1 model variant across 1 endpoint. Each tool accepts the models listed for it:

ToolModels
text_to_imagez-image

Model availability can change between releases. Use check_pricing or the Z 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 Z Image text to image task with RunAPI.

The assistant can call check_pricing, then text_to_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 Z Image pricing, then create the task if it matches my request.

The assistant calls check_pricing and can link to the Z 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
Z Image model pagehttps://runapi.ai/models/z-image
npm package@runapi.ai/z-image-mcp
GitHub repositoryrunapi-ai/z-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 bd8d57f

工具

4

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

text_to_image

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

輸入參數waitmodelprompt必填timeout_msaspect_ratio必填callback_urlpoll_interval_msenable_safety_checker

get_task

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

輸入參數actiontask_id必填

check_pricing

Look up RunAPI pricing for the z-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. v0.1.7Sep 16, 2026

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