name: openai-knowledge description: Use when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need authoritative, up-to-date documentation (schemas, examples, limits, edge cases). Prefer the OpenAI Developer Documentation MCP server tools when available; otherwise guide the user to enable openaiDeveloperDocs.

OpenAI Knowledge

Overview

Use the OpenAI Developer Documentation MCP server to search and fetch exact docs (markdown), then base your answer on that text instead of guessing.

Workflow

1) Check whether the Docs MCP server is available

If the mcp__openaiDeveloperDocs__* tools are available, use them.

If you are unsure, run codex mcp list and check for openaiDeveloperDocs.

2) Use MCP tools to pull exact docs

• Search first, then fetch the specific page or pages.
  • mcp__openaiDeveloperDocs__search_openai_docs → pick the best URL.
  • mcp__openaiDeveloperDocs__fetch_openai_doc → retrieve the exact markdown (optionally with an anchor).
• When you need endpoint schemas or parameters, use:
  • mcp__openaiDeveloperDocs__get_openapi_spec
  • mcp__openaiDeveloperDocs__list_api_endpoints

Base your answer on the fetched text and quote or paraphrase it precisely. Do not invent flags, field names, defaults, or limits.

3) If MCP is not configured, guide setup (do not change config unless asked)

Provide one of these setup options, then ask the user to restart the Codex session so the tools load:

• CLI:
  • codex mcp add openaiDeveloperDocs --url https://developers.openai.com/mcp
• Config file (~/.codex/config.toml):
  • Add:

    [mcp_servers.openaiDeveloperDocs]
    url = "https://developers.openai.com/mcp"
    

Also point to: https://developers.openai.com/resources/docs-mcp#quickstart