openai-docsQuery the OpenAI developer documentation via the OpenAI Docs MCP server using CLI (curl/jq). Use whenever a task involves the OpenAI API (Responses, Chat Completions, Realtime, etc.), OpenAI SDKs, ChatGPT Apps SDK, Codex, MCP integrations, endpoint schemas, parameters, limits, or migrations and you need up-to-date official guidance.
Install via ClawdBot CLI:
clawdbot install am-will/openai-docsUse the OpenAI developer documentation MCP server from the shell to search and fetch authoritative docs. Always do this for OpenAI platform work instead of relying on memory or non-official sources.
scripts/openai-docs-mcp.sh (do not rely on Codex MCP tools).search or list to find the best doc page, then fetch the page (or anchor) for exact text.scripts/openai-docs-mcp.sh search "Responses API" 5
scripts/openai-docs-mcp.sh fetch https://platform.openai.com/docs/guides/migrate-to-responsessearch with a focused query. If unsure, use list to browse.fetch the most relevant URL (optionally add an anchor).The CLI wrapper is at scripts/openai-docs-mcp.sh and uses curl + jq against https://developers.openai.com/mcp.
Subcommands:
init: initialize and inspect server capabilities.tools: list available tools on the MCP server.search [limit] [cursor] : return JSON hits from the docs index.list [limit] [cursor]: browse docs index.fetch [anchor] : return markdown for a doc page or section.endpoints: list OpenAPI endpoints.openapi [lang1,lang2] [code-only] : fetch OpenAPI schema or code samples.Environment:
MCP_URL: override the default MCP endpoint.Generated Mar 1, 2026
A company is building a customer support chatbot using the OpenAI API and needs to implement chat completions with proper error handling and rate limits. This skill helps developers fetch the latest documentation on chat completions endpoints, parameters, and best practices to ensure reliable integration.
An AI startup is migrating their existing models to the new OpenAI Responses API and requires guidance on migration steps, schema changes, and compatibility. This skill allows them to search for migration docs and fetch detailed instructions to avoid downtime and data loss.
A software development firm is creating custom SDK wrappers for the OpenAI API in multiple programming languages and needs up-to-date information on API endpoints, authentication, and code samples. This skill enables them to query OpenAPI schemas and fetch code examples for accurate implementation.
A gaming company is integrating OpenAI Realtime for interactive AI features in their games and needs documentation on real-time endpoints, streaming protocols, and performance optimization. This skill helps developers search for real-time guides and fetch specific sections to ensure low-latency responses.
A consulting firm is auditing an enterprise client's use of the OpenAI API to ensure compliance with usage limits, data privacy, and best practices. This skill allows them to fetch authoritative docs on API limits, security guidelines, and migration policies for thorough analysis.
Offer consulting and development services to businesses integrating OpenAI APIs into their products. Use this skill to quickly access official documentation, reducing research time and ensuring accurate implementations for clients.
Provide a subscription-based platform that aggregates and updates OpenAI documentation for teams, with search and fetch capabilities. This skill can be embedded to deliver real-time, official docs, enhancing developer productivity and reducing errors.
Develop training courses and certification programs for developers learning to use OpenAI tools. Use this skill to source the latest docs for course materials, ensuring content is current and aligned with OpenAI's official guidance.
💬 Integration Tip
Set the MCP_URL environment variable to customize the MCP endpoint if needed, and always use the CLI wrapper scripts to ensure consistent access to the latest documentation.
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