Gpt 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 GPT 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 MCP 服务器,让助手用 GPT Image 模型生成或编辑图片、查询任务状态并查看价格。

可以做什么
  • 在 RunAPI 上创建文生图任务和图片编辑任务,可选择等待任务完成
  • 查询已有任务的当前状态和最新结果数据
  • 在提交前查询 GPT Image 模型系列的 RunAPI 价格
  • 通过浏览器登录流程完成认证,并把 API 密钥写入共享配置文件
适用场景
当希望助手只专注于 RunAPI 上的 GPT Image 生成与编辑、而不是整个 RunAPI 模型目录时使用,例如按提示词生成图片、编辑已有图片,或在批量运行前确认费用。
运行要求
以 stdio 方式在本地运行,通常通过 npx 启动该 npm 包。需要 RunAPI 账号:无头或 CI 环境可设置 RUNAPI_API_KEY 环境变量,或调用 login 工具打开浏览器登录并把密钥写入配置文件。查询价格无需密钥。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,服务器自身的说明也要求助手先确认。login 工具会把 API 密钥保存在本地配置文件中,预置配置以明文保存密钥,请勿提交到版本库。生成的媒体以输出链接返回,助手并未实际查看内容。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Gpt 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 GPT Image MCP Server

GPT 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/gpt-image-mcp is a focused Model Context Protocol server for the GPT Image model line on RunAPI. It gives MCP-compatible assistants direct access to 2 endpoints and 1 model variant without loading the full RunAPI catalog.

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


Install

Add it to Claude Code:

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

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

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

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

json
{  "mcpServers": {    "gpt-image": {      "command": "npx",      "args": ["-y", "@runapi.ai/gpt-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 GPT Image edit image task and optionally wait for a terminal status. Returns the task id, status, and output URLs.
text_to_imageYesCreate a GPT 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 GPT Image model and endpoint.

Models

GPT Image covers 1 model variant across 2 endpoints. Each tool accepts the models listed for it:

ToolModels
edit_imagegpt-image-1.5
text_to_imagegpt-image-1.5

Model availability can change between releases. Use check_pricing or the GPT 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 GPT 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 GPT Image pricing, then create the task if it matches my request.

The assistant calls check_pricing and can link to the GPT 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
GPT Image model pagehttps://runapi.ai/models/gpt-image
npm package@runapi.ai/gpt-image-mcp
GitHub repositoryrunapi-ai/gpt-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 daf2c40

工具

5

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

edit_image

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

输入参数waitmodelprompt必填quality必填timeout_msaspect_ratio必填callback_urlpoll_interval_mssource_image_urls必填

text_to_image

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

输入参数waitmodelprompt必填quality必填timeout_msaspect_ratio必填callback_urlpoll_interval_ms

get_task

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

输入参数action必填task_id必填

check_pricing

Look up RunAPI pricing for the gpt-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. v0.1.8Sep 16, 2026

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