Agent skill · AI & Agents

openai-agents-setup

Initialize and configure OpenAI Agents SDK for building AI-powered chatbots. Uses NATIVE MCP integration via MCPServerStreamableHttp - no @function_tool wrappers needed! Use when setting up AI agents for Phase 3 chatbot implementation.

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill openai-agents-setup --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 14 KB
Bundled scripts: none
Allowed tools: BashWriteReadEditGlob
Path: skills/agent/openai-agents-setup/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# OpenAI Agents SDK Setup with Gemini + Native MCP Integration Quick reference for initializing OpenAI Agents SDK with **Gemini models** (gemini-2.5-flash) using **native MCP integration** for the Todo AI Chatbot Phase 3. **CRITICAL INSIGHT**: The OpenAI Agents SDK has **native MCP support** via `MCPServerStreamableHttp`. We do NOT need `@function_tool` wrappers! The agent connects directly to the MCP server and discovers tools automatically. **Reference Repository**: https://github.com/panaversity/learn-agentic-ai --- ## Architecture Overview ``` +-------------------------------------------------------------+ | FastAPI Backend | +-------------------------------------------------------------+ | +---------------+ +-----------------------------+ | | | Chat Endpoint |---->| OpenAI Agents SDK | | | | /api/chat | | (Agent + Gemini Model) | | | +---------------+ +-------------+---------------+ | | | | | MCPServerStreamableHttp | | (Native MCP Integration!) | | | | +--------------------------------------+----------------------+ | +--------------v---------------+ | FastMCP Server | | (Task Tools: add, list, etc.)| | -> Database Operations | +------------------------------+ ``` **Key Insigh

What's inside
Steps it walks through
  1. Architecture Overview
  2. Project Structure
  3. Installation
  4. Core Setup Files
  5. 1. Gemini Configuration (config.py)
  6. 2. Agent Definition (todoagent.py)
  7. 3. Runner with Native MCP (runner.py) - KEY FILE
  8. 4. Chat Endpoint Usage
  9. OLD vs NEW Approach
  10. OLD (Deprecated) - Function Tool Wrappers
  11. NEW (Recommended) - Native MCP Integration
  12. Quick Start
  13. 1. Start MCP Server First
  14. 2. Test Agent with Native MCP
Ships with 1 file
  • metadata.json
Commands it runs
cd backend
uv add openai-agents httpx
uv run python -m src.mcp_server.server
Running on http://localhost:8001
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About this skill
What does the openai-agents-setup skill do?

Initialize and configure OpenAI Agents SDK for building AI-powered chatbots. Uses NATIVE MCP integration via MCPServerStreamableHttp - no @function_tool wrappers needed! Use when setting up AI agents for Phase 3 chatbot implementation.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill openai-agents-setup --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.

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