L-23 How to Use MCP in OpenAI Agents SDK | Hindi tutorial

Learn how to use the **Model Context Protocol (MCP)** with the **OpenAI Agents SDK** in this hands-on Python tutorial! 🚀 Follow along with the GitHub repository for full code examples: 🔗 GitHub: https://github.com/codewithaarohi/OpenAI-Agents-SDK/tree/main/MCP_demo 🌐 Website: https://codewithaarohi.ai/downloads/agentic_ai/ Both links contain the exact code used in this tutorial. In this tutorial, we’ll start by setting up a Python environment and then create a **custom Math MCP server** with tools like add, multiply, divide, and factorial. After that, we’ll connect the server to an **OpenAI Agent** and explore how to: 📌 **What You’ll Learn:** ✅ List and use available MCP tools ✅ Call tools like `add(5,7)` and `factorial(5)` ✅ Use multiple MCP servers together ✅ Understand async/await in Python for MCP communication ✅ Run your MCP server locally and extend it to the cloud This step-by-step tutorial is perfect for developers who want to integrate **MCP into AI agents**, build custom tools, and explore advanced agent workflows. 💬 Questions or collaborations? Reach out at aarohisingla1987@gmail.com 🔔 Don’t forget to **like, comment, and subscribe** for more AI coding tutorials! #ModelContextProtocol #MCP #OpenAIAgentsSDK #PythonMCP #PythonAITutorial #AIAgents #AsyncPython #CustomMCPTools #MCPServerTutorial #OpenAIAgentIntegration