Enables seamless access to OpenAI models directly within the Claude Desktop application.
Openai Integration MCP server exists for a simple reason — assistants are far more useful when they can act on Openai Integration directly instead of describing what you should do. Enables seamless access to OpenAI models directly within the Claude Desktop application.
A Model Context Protocol (MCP) server that lets you seamlessly use OpenAI's models right from Claude.
Once Openai Integration is connected, these are the calls the assistant has available:
gpt — 4o (default)gpt-4o-mini — o1-previewArguments — - messages: Array of messages (required)model — Which model to use (optional, defaults to gpt-4o)Tools — 1. openai_chat - Sends messages to OpenAI's chat completion API - Arguments: - messages: Array of messages (required) - model: Which model to useSetup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
You will need one environment variable: OPENAI_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
npm and npx) - Claude Desktop app - OpenAI API keyThis sits in the AI and media services group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Openai Integration's toolset — gpt, gpt-4o-mini, Arguments and 2 more — is a fair guide to whether it matches your workflow. It is maintained by mzxrai; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Openai Integration's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| gpt | 4o (default) |
| gpt-4o-mini | o1-preview |
| Arguments | - messages: Array of messages (required) |
| model | Which model to use (optional, defaults to gpt-4o) |
| Tools | 1. openai_chat - Sends messages to OpenAI's chat completion API - Arguments: - messages: Array of messages (required) - model: Which model to use (optional, defaults to gpt-4o) |
{
"mcpServers": {
"mcp-openai": {
"command": "npx",
"args": ["-y", "@mzxrai/mcp-openai@latest"],
"env": {
"OPENAI_API_KEY": "your-api-key-here (get one from https://platform.openai.com/api-keys)"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
npm and npx) - Claude Desktop app - OpenAI API key| Variable | Description | Required |
|---|---|---|
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.