name

openai-docs

description

Access OpenAI developer documentation via Context7 MCP. Provides up-to-date docs for Codex CLI, OpenAI API, Python/Node SDKs, Agents SDK, and MCP configuration. Use when: (1) configuring Codex CLI or MCP servers, (2) writing OpenAI API integrations, (3) building agents with OpenAI SDKs, (4) troubleshooting Codex execution. Triggers: 'openai docs', 'codex documentation', 'openai api reference', 'codex mcp', 'agents sdk'.

OpenAI Documentation Access Skill

Access OpenAI's complete developer documentation through Context7 MCP integration.

Quick Start

# Query Codex CLI documentation
mcp__context7__query-docs:
  libraryId: "/websites/developers_openai_codex"
  query: "your question about Codex CLI"

# Query OpenAI API documentation
mcp__context7__query-docs:
  libraryId: "/websites/platform_openai"
  query: "your question about OpenAI API"

Available Documentation Libraries

Library ID	Content	Snippets	Score
`/websites/developers_openai_codex`	Codex CLI docs	614	75.8
`/websites/platform_openai`	OpenAI API docs	9,418	69.1
`/openai/openai-python`	Python SDK	429	90.7
`/openai/openai-node`	Node.js SDK	437	87.9
`/openai/codex`	Codex core	491	62.1
`/openai/codex-action`	GitHub Action	36	78.8

Common Queries

Codex CLI Configuration

# MCP server configuration
query-docs:
  libraryId: "/websites/developers_openai_codex"
  query: "MCP server configuration config.toml remote URL authentication"

# Sandbox modes and permissions
query-docs:
  libraryId: "/websites/developers_openai_codex"
  query: "sandbox modes read-only workspace-write danger-full-access"

# Session resume and parallel execution
query-docs:
  libraryId: "/websites/developers_openai_codex"
  query: "exec resume session parallel execution workflow"

OpenAI API Integration

# Chat completions
query-docs:
  libraryId: "/websites/platform_openai"
  query: "chat completions API streaming function calling"

# Embeddings and vector search
query-docs:
  libraryId: "/websites/platform_openai"
  query: "embeddings API text-embedding-3 vector dimensions"

# Assistants API
query-docs:
  libraryId: "/websites/platform_openai"
  query: "assistants API threads messages runs tools"

SDK Usage

# Python SDK async patterns
query-docs:
  libraryId: "/openai/openai-python"
  query: "async client streaming completions error handling"

# Node.js SDK TypeScript
query-docs:
  libraryId: "/openai/openai-node"
  query: "TypeScript types streaming response handling"

MCP Configuration Reference

Context7 (Already Configured)

# ~/.codex/config.toml
[mcp_servers.context7]
command = "npx"
args = ["-y", "@upstash/context7-mcp@latest"]

Remote MCP Servers

# Streamable HTTP server format
[mcp_servers.example]
url = "https://example.com/mcp"
bearer_token_env_var = "EXAMPLE_TOKEN"
http_headers = { "X-Custom-Header" = "value" }

STDIO Servers

# Local command-based server
[mcp_servers.local]
command = "npx"
args = ["-y", "@package/mcp-server"]

[mcp_servers.local.env]
API_KEY = "your-key"

Integration with Codex CLI Skill

This skill complements /codex-cli by providing documentation lookup:

Before execution: Query docs for correct flags/options
On error: Look up error codes and solutions
Configuration: Find correct config.toml syntax

Workflow Example

# 1. Query documentation for correct syntax
# Use mcp__context7__query-docs with libraryId="/websites/developers_openai_codex"

# 2. Execute Codex with correct options
codex exec -m gpt-5.2-codex --full-auto "task"

# 3. On error, query docs for solution
# Query: "error code XYZ troubleshooting"

Claude-Codex Documentation Bridge

When Claude needs OpenAI documentation:

Use Context7 MCP (already available in both Claude and Codex)
Query appropriate library based on topic
Apply findings to implementation

This eliminates the need for a separate "openaiDevelopers" MCP - Context7 provides all OpenAI documentation with 614+ Codex CLI snippets and 9,400+ API snippets.