OpenAI Developer Docs

**Quick judgment**: This skill is a focused, high-value utility for any workflow that needs authoritative, up-to-date information about the OpenAI platform. It is especially strong when used by developers or automated tools that can comfortably call a CLI script and process JSON/markdown output. **Strengths**: - Directly backed by the official OpenAI Docs MCP server, reducing the risk of outdated or incorrect guidance. - Rich command set (`search`, `list`, `fetch`, `endpoints`, `openapi`) that supports both exploration and precise retrieval of docs and schemas. - Well-suited for integration into scripts, terminals, and CI pipelines where programmatic access to documentation is useful. **Risks / limitations**: - Depends on external network access and the availability/stability of the `https://developers.openai.com/mcp` endpoint; outages or API changes will degrade functionality. - Requires a Unix-like environment with `curl` and `jq`, which may limit usability in some constrained or GUI-only setups. - Narrow scope: it is excellent for OpenAI platform docs, but not a general documentation search tool. **Recommended scenarios**: - Any task where you must answer OpenAI API/SDK/Apps/Codex questions with high accuracy and current information (including migrations to the Responses API). - Development and debugging sessions where you need to confirm endpoint schemas, parameters, rate limits, or example code directly from source. - Automated tooling (scripts, CI checks, internal CLIs) that programmatically validates API usage against the official OpenAPI definitions or surfaces links to canonical docs alongside code changes.