Mcp Gpt Image
Generate and edit GPT Image pictures with Ace Data Cloud; query the original image task.
A Model Context Protocol (MCP) server for OpenAI API access using AceDataCloud.
Interact with OpenAI models for chat completions, image generation, text embeddings, and more — directly from Claude, VS Code, or any MCP-compatible client.
The AceDataCloud distribution is mcp-openai-pro. The unrelated
mcp-openai package on PyPI is not maintained by AceDataCloud. Update existing
uvx configurations to the new package name; the hosted MCP URL is unchanged.
Use GPT Image in Glama
The GPT Image-only Glama guide uses the published mcp-openai-pro --profile gpt-image package and its five image/task tools. The existing OpenAIMCP source listing is the general server; it is not a dedicated GPT Image Connector. A separate Glama profile listing and ordinary install flow remain unverified.
GPT Image in goose
Use the independent GPT Image by Ace Data Cloud native goose plugin: install and API Token guide · 简体中文. It reuses this MCP server and does not imply goose Marketplace or default-provider inclusion.
GPT Image service profile
Use GPT Image by Ace Data Cloud when you only need image generation, editing and task retrieval. It runs mcp-openai-pro --profile gpt-image, exposes five image/task tools, requires an explicit GPT Image model, and shares this package's maintained API client. The general OpenAI server remains unchanged. The separate mcp-gpt-image Registry entry is active at 2026.10.18.2 (read back 2026-10-19), matching the public package. A catalog client must preserve --profile gpt-image; do not substitute the generic remote or infer that every client install has been verified.
Features
- Chat Completions — Access GPT-4, GPT-4o, GPT-5, o1, o3, o4-mini, and many more models
- Responses API — Extended model variant support including dated releases and search-preview models
- Image Generation — Create images with gpt-image-1, gpt-image-2, GPT Image 2.5 Flare/Sunburst standard or official variants, dall-e-3, and nano-banana models
- Image Editing — Modify existing images with AI
- Text Embeddings — Generate vector representations with text-embedding-3 models
- Audio — Convert text to speech and transcribe audio with whisper-1 or gpt-transcribe
Connect: hosted OAuth, API token, or local stdio
The hosted endpoint is https://openai.mcp.acedata.cloud/mcp. Choose one route for the MCP client:
| Route | When to use it | Credential setup |
|---|---|---|
| Hosted OAuth | The client supports remote MCP OAuth | Add only the URL, then sign in to AceDataCloud and approve access. No token needs to be pasted into client configuration. |
| Hosted API token | The client cannot finish OAuth, or you need an explicit integration credential | Send an AceDataCloud API token in the Authorization: Bearer … header. Keep it in a local secret store or environment variable. |
| Local stdio | The client runs a local MCP process | Install mcp-openai-pro and pass ACEDATACLOUD_API_TOKEN to that process. It still calls the AceDataCloud API. |
From the project's README.