Gpt 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 GPT 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 MCP 伺服器,讓助理用 GPT Image 模型生成或編輯圖片、查詢任務狀態並查看價格。

可以做什麼
  • 在 RunAPI 上建立文字生圖任務與圖片編輯任務,可選擇等待任務完成
  • 查詢既有任務的目前狀態與最新結果資料
  • 在送出前查詢 GPT Image 模型系列的 RunAPI 價格
  • 透過瀏覽器登入流程完成驗證,並把 API 金鑰寫入共用設定檔
適用情境
當希望助理只專注於 RunAPI 上的 GPT Image 生成與編輯、而非整個 RunAPI 模型目錄時使用,例如依提示詞生成圖片、編輯既有圖片,或在批次執行前確認費用。
執行需求
以 stdio 方式在本機執行,通常透過 npx 啟動該 npm 套件。需要 RunAPI 帳號:無介面或 CI 環境可設定 RUNAPI_API_KEY 環境變數,或呼叫 login 工具開啟瀏覽器登入並把金鑰寫入設定檔。查詢價格不需金鑰。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,伺服器本身的說明也要求助理先確認。login 工具會把 API 金鑰存放在本機設定檔,預先準備的設定以明文保存金鑰,請勿提交到版本控制。生成的媒體以輸出連結回傳,助理並未實際檢視內容。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Gpt 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 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.

來源: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.

輸入參數force

edit_image

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

輸入參數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.

輸入參數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.

輸入參數action必填task_id必填

check_pricing

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

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