openai-agents-mcp-integration

Build AI agents orchestrating MCP tools across multiple providers with SSE streaming endpoints.

1|Updated Dec 9, 2025
One-click install
npx skills add https://github.com/HezziCode/spec-driven-devlopment-hackathone --skill openai-agents-mcp-integration-hezzicode
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openai-agents-mcp-integration
Source: https://github.com/HezziCode/spec-driven-devlopment-hackathone/tree/main/phase-2-fullstack-todo/.claude/skills/openai-agents-mcp-integration
Command: npx skills add https://github.com/HezziCode/spec-driven-devlopment-hackathone --skill openai-agents-mcp-integration-hezzicode

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Build robust AI agents that orchestrate external tools via the MCP protocol across multiple providers, enabling dynamic, tool-driven conversations.

Core Features & Use Cases

  • Multi-provider model factory to switch between OpenAI, Gemini, Groq, and OpenRouter with a single config.
  • MCP Server via stdio transport to expose tools (add/list/update tasks) for scalable command execution.
  • SSE streaming endpoint for real-time agent responses and session-backed conversation persistence.

Quick Start

Instantiate a TodoAgent with a chosen provider and model, then connect to an MCP server to start streaming conversations.

Frequently Asked Questions about openai-agents-mcp-integration

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I orchestrate external tools via MCP across multiple AI providers?

MCP orchestration across multiple AI providers is achieved by using a multi-provider model factory to switch backends and an MCPServerStdio integration to expose tools for scalable command execution.

Can I stream real-time AI agent responses using SSE?

Yes, you can stream real-time AI agent responses using an SSE streaming endpoint, which also provides session-backed conversation persistence to maintain context throughout tool-driven conversations.

Does the OpenAI Agents SDK support switching between Gemini, Groq, and OpenRouter?

Yes, the OpenAI Agents SDK supports switching between Gemini, Groq, and OpenRouter through a multi-provider model factory that allows backend changes with a single config adjustment.

What is the best way to expose task management tools to an AI agent using stdio transport?

The best way to expose task management tools to an AI agent using stdio transport is by configuring an MCP Server to add, list, and update tasks for scalable command execution.

How do I start a conversation with a TodoAgent connected to an MCP server?

To start a conversation with a TodoAgent connected to an MCP server, instantiate the TodoAgent with a chosen provider and model, then connect to the MCP server to begin streaming interactions.