Gpt 4o 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-4o 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

限定於 GPT-4o Image 的 RunAPI MCP 伺服器,讓助理建立文生圖任務、查詢任務狀態並查看價格。

可以做什麼
  • 建立 GPT-4o Image 文生圖任務,可選擇等待任務結束,並回傳任務 ID、狀態與輸出連結
  • 查詢既有任務的目前狀態與最新結果資料
  • 查詢 RunAPI 上 GPT-4o Image 模型系列的價格,不需登入即可使用
  • 透過瀏覽器登入流程完成 RunAPI 驗證,並把 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 以 GPT-4o Image 產生圖片,且只限定在這一個模型系列、不載入完整 RunAPI 目錄的情境。也適合先查價格、再送出任務、最後回傳任務 ID 與輸出連結的工作流程。
執行需求
以 stdio 在本機執行,通常用 npx 啟動,因此需要 Node.js。建立任務與查詢狀態需要 RunAPI 帳號:可呼叫 login 工具進行瀏覽器驗證,或在無介面/CI 環境設定 RUNAPI_API_KEY 環境變數。查詢價格不需金鑰。需要能連線到 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。login 工具會把 API 金鑰寫入共用的 RunAPI 設定檔,預先準備的設定檔也以明文保存金鑰,請勿提交真實金鑰。伺服器會建立任務並寫入本機設定,產生的媒體僅以連結回傳,助理並未真正檢視內容。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Gpt 4o 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-4o Image MCP Server

GPT-4o 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-4o-image-mcp is a focused Model Context Protocol server for the GPT-4o 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 GPT-4o 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-4o-image -s user -- npx -y @runapi.ai/gpt-4o-image-mcp

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

bash
claude mcp add gpt-4o-image -s project -- npx -y @runapi.ai/gpt-4o-image-mcp

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

json
{  "mcpServers": {    "gpt-4o-image": {      "command": "npx",      "args": ["-y", "@runapi.ai/gpt-4o-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 GPT-4o 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-4o Image model and endpoint.

Models

GPT-4o Image covers 1 model variant across 1 endpoint. Each tool accepts the models listed for it:

ToolModels
text_to_imagegpt-4o-image

Model availability can change between releases. Use check_pricing or the GPT-4o 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-4o 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 GPT-4o Image pricing, then create the task if it matches my request.

The assistant calls check_pricing and can link to the GPT-4o 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-4o Image model pagehttps://runapi.ai/models/gpt-4o-image
npm package@runapi.ai/gpt-4o-image-mcp
GitHub repositoryrunapi-ai/gpt-4o-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 446c51e

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 GPT-4o Image task on RunAPI (text to image). Returns a task id, status, and output URLs.

輸入參數waitmodelpromptmask_urltimeout_msaspect_ratio必填callback_urloutput_countpoll_interval_mssource_image_urlsenable_prompt_expansion

get_task

Fetch the current status and latest result payload for a gpt-4o-image task.

輸入參數actiontask_id必填

check_pricing

Look up RunAPI pricing for the gpt-4o-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

評分

已滿足適用檢查項的 90%

該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。

  • 近 30 天內可連通25 分
  • 已宣告認證方式10 分

    請在註冊中心條目中宣告憑證請求標頭,或保持端點能夠回應探測,以便判定其認證方式。

  • 已列出工具必需15 分
  • 描述必需15 分
  • 圖示10 分
  • 文件15 分
  • 授權條款10 分