openai-agent-sdk-integration
This skill implements AI agents with MCP (Model Context Protocol) server integration using the OpenAI Agents SDK. It covers agent creation, tool definitions, MCP server connections (stdio, HTTP, SSE), tool filtering, caching, handoffs, guardrails, and multi-agent orchestration patterns. Use when building AI agents that connect to MCP servers, implementing tool-mediated AI interactions, or creating production-grade agentic systems.
npx skills add majiayu000/claude-skill-registry --skill openai-agent-sdk-integration-hasnaincodehub-todo-evaluation --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# OpenAI Agents SDK Integration with MCP This skill provides comprehensive guidance for building AI agents using the OpenAI Agents SDK with MCP (Model Context Protocol) server integration. ## Before Implementation | Source | Gather | |--------|--------| | **Codebase** | Existing agent patterns, MCP server implementations, tool definitions | | **Conversation** | User's specific requirements, transport type (HTTP/stdio), tool needs | | **Skill References** | Domain patterns from `references/` (SDK patterns, MCP primitives, examples) | | **User Guidelines** | Project-specific conventions, authentication requirements | ## Core Concepts ### Three Primitives of OpenAI Agents SDK | Primitive | Purpose | Control Model | |-----------|---------|---------------| | **Agents** | LLMs with instructions and tools | Framework-controlled | | **Handoffs** | Delegation between agents | Agent-controlled | | **Guardrails** | Input/output validation | Developer-controlled | ### Three Primitives of MCP | Primitive | Purpose | Control Model | |-----------|---------|---------------| | **Tools** | Functions AI can invoke | Model-controlled | | **Resources** | Read-only data access | Application-controlled |
- Before Implementation
- Core Concepts
- Three Primitives of OpenAI Agents SDK
- Three Primitives of MCP
- Quick Start
- 1. Create MCP Server
- 2. Create Agent with MCP Connection
- MCP Transport Types
- Key Patterns
- Tool Caching
- Static Tool Filtering
- Dynamic Tool Filtering
- Multiple MCP Servers
- Agent Configuration
What does the openai-agent-sdk-integration skill do?
This skill implements AI agents with MCP (Model Context Protocol) server integration using the OpenAI Agents SDK. It covers agent creation, tool definitions, MCP server connections (stdio, HTTP, SSE), tool filtering, caching, handoffs, guardrails, and multi-agent orchestration patterns. Use when building AI agents that connect to MCP servers, implementing tool-mediated AI interactions, or creating production-grade agentic systems.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill openai-agent-sdk-integration-hasnaincodehub-todo-evaluation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.