Mar 30
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In this session of our Agentic AI Course, we explore the Model Context Protocol (MCP). MCP is the new industry standard that allows your AI agents to seamlessly connect to external tools and data. No more writing custom API integrations for every service—just plug in an MCP server and go! This lecture was recorded live for my students at Saylani Mass IT Training (SMIT). We walk through practical examples of connecting the OpenAI Agent SDK to Google Search and GitHub to perform real-world tasks. What we covered in this deep dive: What is MCP? Understanding the standardized bridge between LLMs and data. OpenAI Agent SDK Integration: Using the mcp_servers property to instantly add capabilities. Google MCP Server: Enabling your agents to browse the live web and perform searches. GitHub MCP Server: Teaching your agents to read code, manage issues, and handle PRs. Tool Discovery: How the SDK automatically lists and uses MCP tools. Connect with Me Join me as I build and teach production-ready Agentic AI systems: 💻 GitHub: github.com/danishmustafa86 🔗 LinkedIn: linkedin.com/in/danishmustafa86 🌐 Portfolio: danishmustafa86.vercel.app About the Channel Welcome to Danish Mustafa AI & Tech. I am a Founding Software Engineer and AI Developer. This channel focuses on the cutting edge of AI development, from FastAPI backends to advanced Agentic workflows using the latest industry protocols. Subscribe to master the art of Agentic AI! 🚀🤖