openai-docs▌
boshu2/agentops · updated Apr 8, 2026
Provide authoritative, current guidance from OpenAI developer docs using the developers.openai.com MCP server. Always prioritize the developer docs MCP tools over web.run for OpenAI-related questions. Only if the MCP server is installed and returns no meaningful results should you fall back to web search.
OpenAI Docs
Provide authoritative, current guidance from OpenAI developer docs using the developers.openai.com MCP server. Always prioritize the developer docs MCP tools over web.run for OpenAI-related questions. Only if the MCP server is installed and returns no meaningful results should you fall back to web search.
Quick start
- Use
mcp__openaiDeveloperDocs__search_openai_docsto find the most relevant doc pages. - Use
mcp__openaiDeveloperDocs__fetch_openai_docto pull exact sections and quote/paraphrase accurately. - Use
mcp__openaiDeveloperDocs__list_openai_docsonly when you need to browse or discover pages without a clear query.
OpenAI product snapshots
- Apps SDK: Build ChatGPT apps by providing a web component UI and an MCP server that exposes your app's tools to ChatGPT.
- Responses API: A unified endpoint designed for stateful, multimodal, tool-using interactions in agentic workflows.
- Chat Completions API: Generate a model response from a list of messages comprising a conversation.
- Codex: OpenAI's coding agent for software development that can write, understand, review, and debug code.
- gpt-oss: Open-weight OpenAI reasoning models (gpt-oss-120b and gpt-oss-20b) released under the Apache 2.0 license.
- Realtime API: Build low-latency, multimodal experiences including natural speech-to-speech conversations.
- Agents SDK: A toolkit for building agentic apps where a model can use tools and context, hand off to other agents, stream partial results, and keep a full trace.
If MCP server is missing
If MCP tools fail or no OpenAI docs resources are available:
In Codex:
- Run:
codex mcp add openaiDeveloperDocs --url https://developers.openai.com/mcp - If it fails due to permissions/sandboxing, retry with escalated permissions.
- Ask the user to restart Codex, then re-run doc search/fetch.
In Claude Code:
- Add the MCP server to
~/.claude/settings.jsonunder"mcpServers":{ "mcpServers": { "openaiDeveloperDocs": { "type": "url", "url": "https://developers.openai.com/mcp" } } } - Restart Claude Code, then re-run doc search/fetch.
In other agents: Ask the user to configure the MCP server per their agent's documentation.
Workflow
- Clarify the product scope (Codex, OpenAI API, or ChatGPT Apps SDK) and the task.
- Search docs with a precise query.
- Fetch the best page and the specific section needed (use
anchorwhen possible). - Answer with concise guidance and cite the doc source.
- Provide code snippets only when the docs support them.
Quality rules
- Treat OpenAI docs as the source of truth; avoid speculation.
- Keep quotes short and within policy limits; prefer paraphrase with citations.
- If multiple pages differ, call out the difference and cite both.
- If docs do not cover the user’s need, say so and offer next steps.
Tooling notes
- Always use MCP doc tools before any web search for OpenAI-related questions.
- If the MCP server is installed but returns no meaningful results, then use web search as a fallback.
- When falling back to web search, restrict to official OpenAI domains (developers.openai.com, platform.openai.com) and cite sources.
Examples
OpenAI API Guidance
User says: "How do I use tool calls with the Responses API?"
What happens:
- Search OpenAI docs MCP for "Responses API tools".
- Fetch the most relevant section.
- Return implementation guidance with citations.
Codex Capability Check
User says: "Does Codex support read-only review workflows?"
What happens:
- Query Codex docs via MCP.
- Fetch flag/sandbox references.
- Answer with source-backed guidance and constraints.
Troubleshooting
| Problem | Cause | Solution |
|---|---|---|
| MCP docs search returns nothing | MCP server not installed | Install openaiDeveloperDocs MCP, restart Codex, retry search |
| Results are stale/unclear | Query too broad | Narrow query by product + feature, then fetch exact page section |
| Need citation-ready answer | Source not fetched | Fetch specific doc section before answering |
| Docs do not cover question | Gap in official docs | State gap explicitly and provide safe best-effort guidance |
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.4★★★★★43 reviews- ★★★★★Pratham Ware· Dec 28, 2024
I recommend openai-docs for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Anika Robinson· Dec 24, 2024
Solid pick for teams standardizing on skills: openai-docs is focused, and the summary matches what you get after install.
- ★★★★★Arya Martinez· Dec 24, 2024
We added openai-docs from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Dhruvi Jain· Dec 4, 2024
openai-docs is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Oshnikdeep· Nov 23, 2024
Keeps context tight: openai-docs is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Emma Malhotra· Nov 15, 2024
openai-docs has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Carlos Sanchez· Nov 15, 2024
Useful defaults in openai-docs — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Ganesh Mohane· Oct 14, 2024
Registry listing for openai-docs matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Dev Sethi· Oct 6, 2024
Useful defaults in openai-docs — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Ishan Ndlovu· Oct 6, 2024
openai-docs has been reliable in day-to-day use. Documentation quality is above average for community skills.
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