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

pip install mcp-openai-pro

Configuration

Set your API token:

export ACEDATACLOUD_API_TOKEN=your_api_token_here

Run

mcp-openai-pro

Available Tools

Tool	Description
openai_chat_completion	Create chat completions using OpenAI models
openai_create_response	Create responses using the Responses API
openai_generate_image	Generate images from text descriptions
openai_edit_image	Edit existing images with AI
openai_create_embedding	Create text embedding vectors
openai_text_to_speech	Convert text to spoken audio
openai_transcribe_audio	Transcribe audio from a URL
openai_list_chat_models	List available chat/completion models
openai_list_image_models	List available image models
openai_list_embedding_models	List available embedding models
openai_get_usage_guide	Get 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

Variable	Description	Default
ACEDATACLOUD_API_TOKEN	API token (required)	—
ACEDATACLOUD_API_BASE_URL	API base URL	https://api.acedata.cloud
OPENAI_REQUEST_TIMEOUT	Request timeout in seconds	60
MCP_SERVER_NAME	MCP server name	openai
LOG_LEVEL	Logging level	INFO

Development

# Install dependencies
pip install -e ".[dev,test]"

# Run tests
pytest

# Run linter
ruff check .

API Reference

• AceDataCloud Platform
• OpenAI API Documentation

Documentation

Documentation

License

MIT