MCP Openai MCP Server

by acedatacloud Your server? Claim it

answering

MCP Openai is answering right now. Last checked 2 min ago. 5 118 installs a week from pypi. Last commit 24 Oct 2026.

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

Installs per day peak 2 423 · avg 345 · +240% w/w

a month agotoday

Uptime history 22 days of history · worst day 93%

22 days agonow

100.0%

Uptime 24h

92 of 92 checks

—

Tools

hidden behind auth

1645 ms

Response time

average over 24h

5 118

Installs / week

npm and PyPI

MCP Openai missed 2 checks this week

Everything else answered, so this is steady rather than shaky. We check every 15 minutes, which is how a one-off gets told apart from the start of a pattern, and how you hear about the next one within the hour instead of from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 2 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add mcp-openai --transport http https://openai.mcp.acedata.cloud/mcp

Settings → Connectors → Add custom connector, then paste this address

https://openai.mcp.acedata.cloud/mcp

~/.codex/config.toml

[mcp_servers.mcp-openai]
url = "https://openai.mcp.acedata.cloud/mcp"

.cursor/mcp.json

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

.vscode/mcp.json

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

This endpoint answered with an authorization challenge. The server is running, and it signs you in through your browser: there is no API key to paste.

Endpoints

URL	Transport	State	Latency	Checked
https://openai.mcp.acedata.cloud/mcp	streamable-http	sign-in	1406 ms	2 min ago

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MCP Openai — questions

Answers built from our own checks of this server.

Why is there no tool list for MCP Openai?

The server answered our handshake with an authorization challenge, so it is running — but it will not describe its tools to an anonymous client. To see them you need to connect with your own credentials. We record it as alive, not as broken: 100.0% of checks in the last 24 hours got a reply.

Is MCP Openai working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 1645 ms. The bar chart above shows every period we have measured.

How do I connect MCP Openai?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address. You sign in through your browser once and the client keeps the session: no key to copy, and it refuses anonymous clients.

How do you sign in to MCP Openai?

No API key is involved. MCP Openai answers our knock with an OAuth challenge, so you authorise it once in your browser and the client keeps the session. That is also why we see no tool list: it will not describe itself to an anonymous client, and that is the server working as intended, not a fault.

How many people use MCP Openai?

The pypi package mcp-openai-pro was installed 5 118 times in the last week. Week over week that is +240%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.

Is MCP Openai open source?

The code is open source: it is published under the MIT licence, written in Python, 1 stars on GitHub and 1 open issue. The licence covers the code in the repository, not the hosted service at openai.mcp.acedata.cloud, which runs on its operator's own terms.