MCP OpenAI

Install

Works with Claude Code, VS Code, Codex, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/acedatacloud-mcp-openai

About

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Permissions

What this server can do and what it asks for, from its tool list, install config and code. Checked Oct 25, 2026.

Tools

13 read · 6 write · 0 delete · 1 not yet classified

Secrets

1 (API keys, tokens or passwords)

Install scripts

None found

Runs as

Python package

Tools (20)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

• gpt_image_edit
• gpt_image_generate
• gpt_image_get_task
• gpt_image_list_models

  List GPT Image model identifiers without sending an API request.

• gpt_image_list_tasks
• openai_chat_completion

  Create a chat completion using OpenAI models via AceDataCloud. Sends a conversation to the specified model and returns the generated response. Supports all major GPT and o-series models. Use this when: - You need to have a conversation with an AI model - You want to generate text responses based on a prompt - You need structured JSON output from a model Returns: JSON response containing the model's reply and usage information.

• openai_create_embedding

  Create text embeddings using OpenAI embedding models via AceDataCloud. Converts text into numerical vector representations that can be used for semantic search, text similarity, clustering, and other ML tasks. Use this when: - You need to compare semantic similarity between texts - You want to build a semantic search system - You need vector representations for machine learning Returns: JSON response containing the embedding vectors and usage information.

• openai_create_response

  Create a response using the OpenAI Responses API via AceDataCloud. The Responses API is an alternative to the Chat Completions API with support for a wider range of model variants and additional features like background processing. Use this when: - You need access to model-specific dated variants (e.g., o3-2025-04-16) - You want background processing with a task ID - You need access to search-preview models Returns: JSON response containing the model's output and usage information.

• openai_edit_image

  Edit or modify existing images using OpenAI image models via AceDataCloud. Applies AI-powered edits to existing images based on text descriptions. Can modify, extend, or transform images while preserving desired elements. Use this when: - You want to modify an existing image - You need to add, remove, or change elements in an image - You want to apply a specific style or transformation to an image Returns: JSON with a `task_id`. Editing runs asynchronously — poll `openai_get_task` with that id until it reports `finished_at`, then read the image URLs from its `response`. When `ca…

• openai_generate_image

  Generate images using OpenAI image models via AceDataCloud. Creates AI-generated images from text descriptions using models like gpt-image-1, dall-e-3, and nano-banana variants. Use this when: - You want to create an image from a text description - You need AI-generated artwork or illustrations - You want to generate product mockups or visual concepts Returns: JSON with a `task_id`. Generation runs asynchronously — poll `openai_get_task` with that id until it reports `finished_at`, then read the image URLs from its `response`. When `callback_url` is set the result is POSTed …

• openai_get_models

  List models from the OpenAI-compatible models endpoint. Returns: JSON response from GET /openai/models.

• openai_get_realtime_connection_info

  Get realtime connection information from GET /v1/realtime.

• openai_get_task

  Retrieve a single async image task by its task ID or custom trace ID. Image generation and editing requests are submitted asynchronously and return a task_id immediately. Use this tool to poll until the task finishes and to retrieve the final image URLs. A task is complete once it carries a `finished_at` timestamp. While it is still running this tool waits ~5s before returning, so repeated calls poll at a sane rate. Use this when: - You called openai_generate_image or openai_edit_image and got a task_id - You want to check the status of an async image task Returns: JSON object with tas…

• openai_get_usage_guide

  Get a comprehensive guide for using the OpenAI tools. Provides detailed information on how to use all available OpenAI tools effectively, including examples and best practices. Returns: Complete usage guide for OpenAI tools.

• openai_list_chat_models

  List all available chat completion models. Shows all models available for the chat completions and responses endpoints, including GPT-4, GPT-4o, GPT-5, and o-series models. Returns: Table of all chat models with descriptions.

Signals

Stars

1

Forks

0

Open issues

1

Weekly downloads

1,770

Last commit

Oct 19, 2026 (10 days ago)

Last release

Oct 24, 2026 (4 days ago)

Last package publish

Oct 19, 2026 (10 days ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name

io.github.AceDataCloud/mcp-openai

Version

2026.10.24.0

Auth

Auth not stated, API key

Packages

pypi mcp-openai-pro

License

MIT

Repository

github.com/AceDataCloud/OpenAIMCP

Website

platform.acedata.cloud/documents/openai?utm_source=mcp_registry&utm_medium=referral&utm_campaign=evergreen&utm_content=openai_mcp_listing_guide

First seen

Oct 24, 2026

Last checked

Oct 25, 2026

Source

Official MCP Registrygithub-graphql