Z Image Mcp

io.github.runapi-builder由 GitHub 账号 runapi-builder 发布v0.2.1更新于 Oct 29, 2026

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

已验证STDIO仅桌面媒体与设计AI 与机器学习

概览

AI 生成的概览

RunAPI 的 Z Image MCP 服务器让助手根据文本提示生成图片、查询任务状态,并查看 z-image 模型系列的定价。

可以做什么
  • 在 RunAPI 的 Z Image 模型上创建文生图任务,可选择等待完成,并返回任务 ID、状态和输出链接
  • 查询已有图片任务的当前状态和最新结果数据
  • 在提交任务前查询 z-image 模型系列的 RunAPI 定价
  • 通过浏览器登录流程完成认证,并把 RunAPI API 密钥保存到共享配置文件
适用场景
当希望助手能通过 RunAPI 的 Z Image 模型生成图片,并且只限定在这一个模型系列而非整个 RunAPI 目录时使用。也适合在运行任务前先查价,或先提交任务稍后再轮询结果。
运行要求
以 stdio 方式在本机运行,通常通过 npm 包用 npx 启动,因此需要 Node.js。创建任务和查询状态需要 RunAPI 账号:可用 login 工具(浏览器 PKCE 登录并写入 RunAPI 配置文件),或在无界面和 CI 环境中设置 RUNAPI_API_KEY 环境变量。查价无需密钥。需要能访问 RunAPI 的网络。
安装前请注意
创建任务会在 RunAPI 上产生费用,昂贵或批量请求前应先确认成本与范围。login 工具会把 API 密钥写入本机共享配置文件,请勿将该文件或 RUNAPI_API_KEY 的值提交到版本库。提示词和任务数据会发送到 RunAPI 服务。生成的媒体以链接形式返回,助手并未实际查看内容。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Z Image Mcp,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

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.

来源: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.

输入参数force

text_to_image

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

输入参数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.

输入参数actiontask_id必填

check_pricing

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

输入参数modelaction

版本历史

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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