# OpenAI MCP Server

> Installs and configures the official OpenAI Node.js client library for use in agent projects, with usage examples and links to upstream documentation.

- Skill: `agentskillexchange/openai-mcp-server` (Agent Skill)
- Install (CLI): `npx skillmds add agentskillexchange/openai-mcp-server`
- Raw SKILL.md: https://api.skillmd.com/api/skills/agentskillexchange/openai-mcp-server/raw
- Safety review: PASS (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML, Integrations & APIs, MCP Servers
- Tags: Client Library, Jsr, Mcp, Nodejs, Npm, Openai
- Author: agentskillexchange (https://skillmd.com/u/agentskillexchange)
- Updated: 2026-08-22
- Page: https://skillmd.com/skills/agentskillexchange/openai-mcp-server

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# OpenAI MCP Server



## Installation

Use the upstream install or setup path that matches your environment:
- npm install openai
- npx jsr add @openai/openai

Requirements and caveats from upstream:
- The full API of this library can be found in [api.md file](api.md) along with many [code examples](https://github.com/openai/openai-node/tree/master/examples).
- // If you have access to Node fs we recommend using fs.createReadStream():
- await client.chat.completions.create({ messages: [{ role: 'user', content: 'How can I list all files in a directory using Python?' }], model: 'gpt-5.2' }, {

Basic usage or getting-started notes:
- sh
- deno add jsr:@openai/openai
- These commands will make the module importable from the @openai/openai scope. You can also [import directly from JSR](https://jsr.io/docs/using-packages#importing-with-jsr-specifiers) without an install step if you're...

- Source: https://github.com/openai/openai-node
- Extracted from upstream docs: https://raw.githubusercontent.com/openai/openai-node/HEAD/README.md

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/openai-mcp-server/)