// may the 4th be with you⚔️
developer-tools

Open AI Docs

by openai

Search and read OpenAI developer docs from your editor using MCP. OpenAI hosts a public Model Context Protocol (MCP) ser

Search and read OpenAI developer docs from your editor using MCP. OpenAI hosts a public Model Context Protocol (MCP) server for developer documentation on developers.openai.com and platform.openai.com.

github stars

28.1K

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Official OpenAI-hosted serverAlways up-to-date documentationDirect access from editor

best for

  • / Developers building with OpenAI APIs
  • / Quick reference while coding OpenAI integrations
  • / Staying updated with latest OpenAI documentation

capabilities

  • / Search OpenAI platform and developer documentation
  • / Browse and list available documentation pages
  • / Fetch full markdown content of specific doc pages
  • / List all OpenAI API endpoints
  • / Get OpenAPI specifications for specific endpoints

what it does

Search and browse OpenAI's developer documentation directly from your editor. Access up-to-date API docs, guides, and OpenAPI specs without leaving your development environment.

about

Open AI Docs is an official MCP server published by openai that provides AI assistants with tools and capabilities via the Model Context Protocol. Search and read OpenAI developer docs from your editor using MCP. OpenAI hosts a public Model Context Protocol (MCP) ser It is categorized under developer tools. This server exposes 5 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install Open AI Docs in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.

license

MIT

Open AI Docs is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

FAQ

What is the Open AI Docs MCP server?
Open AI Docs is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Open AI Docs?
This profile displays 40 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.

Discussion

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Ratings

4.640 reviews
  • Shikha Mishra· Dec 28, 2024

    We wired Open AI Docs into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Meera Menon· Dec 28, 2024

    Strong directory entry: Open AI Docs surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Tariq Kapoor· Dec 24, 2024

    Open AI Docs is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Yash Thakker· Nov 19, 2024

    Open AI Docs reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Naina Gill· Nov 19, 2024

    I recommend Open AI Docs for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Maya Brown· Nov 15, 2024

    We evaluated Open AI Docs against two servers with overlapping tools; this profile had the clearer scope statement.

  • Dhruvi Jain· Oct 10, 2024

    Open AI Docs is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Lucas Torres· Oct 10, 2024

    According to our notes, Open AI Docs benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Mia Diallo· Oct 6, 2024

    We wired Open AI Docs into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Michael Kim· Sep 17, 2024

    I recommend Open AI Docs for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

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