Mcp Openai

io.github.AceDataCloudv2026.10.4.1更新於 Oct 4, 2026

MCP server for OpenAI API (chat completions, image generation, embeddings) via AceDataCloud

已驗證Streamable HTTP可網頁執行AI & MLMedia & Design

概覽

AI 產生的概覽

讓助理透過 AceDataCloud 呼叫 OpenAI 模型，進行對話、影像生成與編輯、向量嵌入及音訊處理。

功能
以 MCP 工具形式提供 OpenAI 能力：聊天補全、Responses API、影像生成與編輯、文字嵌入、文字轉語音及音訊轉錄。也可列出可用的聊天、影像與嵌入模型，並回傳使用指南。請求會經由 AceDataCloud 平台轉送，而非直接使用 OpenAI 帳號。
適用情境
當助理需要生成文字、影像或向量嵌入，或進行音訊轉錄與語音合成，而不想直接整合 OpenAI SDK 時適用。適合能連線至託管 MCP 端點或在本機執行 Python 程序的用戶端。
執行需求
需要 AceDataCloud API 權杖，透過環境變數 ACEDATACLOUD_API_TOKEN 提供，並需要連線至 AceDataCloud API 的網路。可作為託管遠端端點執行，也可透過 PyPI 套件 mcp-openai-pro 搭配 uvx 或 pip 在本機執行。選用設定包括 ACEDATACLOUD_API_BASE_URL、OPENAI_REQUEST_TIMEOUT、MCP_SERVER_NAME 與 LOG_LEVEL。
安裝前請注意
此權杖是 AceDataCloud 平台的計費憑證，使用可能產生費用。提示詞、影像與音訊會傳送至 AceDataCloud，並進一步傳給 OpenAI，請避免提交機密內容。注意套件名稱：PyPI 上無關的 mcp-openai 套件並非由 AceDataCloud 維護，現有 uvx 設定應改為 mcp-openai-pro。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Mcp Openai，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。

Web executable，透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "mcp-openai": {
      "type": "http",
      "url": "https://openai.mcp.acedata.cloud/mcp"
    }
  }
}

README

OpenAIMCP

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.

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

Quick Start

Prerequisites

Get an API token from AceDataCloud.

Installation

bash
pip install mcp-openai-pro

Configuration

Set your API token:

bash
export ACEDATACLOUD_API_TOKEN=your_api_token_here

Run

bash
mcp-openai-pro

Available Tools

ToolDescription
openai_chat_completionCreate chat completions using OpenAI models
openai_create_responseCreate responses using the Responses API
openai_generate_imageGenerate images from text descriptions
openai_edit_imageEdit existing images with AI
openai_create_embeddingCreate text embedding vectors
openai_text_to_speechConvert text to spoken audio
openai_transcribe_audioTranscribe audio from a URL
openai_list_chat_modelsList available chat/completion models
openai_list_image_modelsList available image models
openai_list_embedding_modelsList available embedding models
openai_get_usage_guideGet comprehensive usage guide

Supported Models

Chat Completion Models

  • GPT-5 Series: gpt-5.5, gpt-5.5-pro, gpt-5.4, gpt-5.4-pro, gpt-5.2, gpt-5.1, gpt-5, gpt-5-mini, gpt-5-nano
  • GPT-4 Series: gpt-4.1, gpt-4.1-mini, gpt-4.1-nano, gpt-4o, gpt-4o-mini, gpt-4
  • Reasoning: o4-mini, o3, o3-mini, o3-pro, o1, o1-mini, o1-pro

Image Models

  • gpt-image-1, gpt-image-1.5, gpt-image-2, gpt-image-2:official, gpt-image-2.5-flare, gpt-image-2.5-flare:official, gpt-image-2.5-sunburst, gpt-image-2.5-sunburst:official, dall-e-3, dall-e-2, nano-banana, nano-banana-2, nano-banana-pro
  • GPT Image :official variants settle from actual text-input, image-input, and image-output tokens.

Embedding Models

  • text-embedding-3-small, text-embedding-3-large, text-embedding-ada-002

Audio Transcription Models

  • whisper-1, gpt-transcribe

Usage Examples

Chat Completion

openai_chat_completion(    messages=[{"role": "user", "content": "Explain quantum computing in simple terms"}],    model="gpt-4.1")

Image Generation

openai_generate_image(    prompt="A serene Japanese garden with cherry blossoms at sunset, photorealistic",    model="gpt-image-1",    size="1024x1024")

Text Embeddings

openai_create_embedding(    input="The quick brown fox jumps over the lazy dog",    model="text-embedding-3-small")

Configuration

VariableDescriptionDefault
ACEDATACLOUD_API_TOKENAPI token (required)—
ACEDATACLOUD_API_BASE_URLAPI base URLhttps://api.acedata.cloud
OPENAI_REQUEST_TIMEOUTRequest timeout in seconds60
MCP_SERVER_NAMEMCP server nameopenai
LOG_LEVELLogging levelINFO

Development

bash
# Install dependenciespip install -e ".[dev,test]"
# Run testspytest
# Run linterruff check .

API Reference

Documentation

Documentation

License

MIT

來源：README.md，提交 f1012fc

工具

0
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版本歷史

1
  1. v2026.10.4.1最新Oct 4, 2026