Build Multi-Agent System with MCP on LangGraph | Advanced AI Agents Tutorial

Want to build a powerful multi-agent AI system using MCP on LangGraph? In this step-by-step tutorial, I show you how to design, connect, and orchestrate multiple AI agents using the Model Context Protocol (MCP) inside the LangGraph framework. You’ll learn: ✔️ What MCP is and why it matters for agent systems ✔️ How LangGraph manages agent workflows ✔️ Designing multi-agent communication ✔️ Tool usage & shared memory across agents ✔️ Orchestrating reasoning between agents ✔️ Real-world production use cases Perfect for AI engineers, ML engineers, and GenAI developers building advanced agentic AI systems in 2026. By the end of this video, you’ll understand how to build scalable, structured, and intelligent multi-agent architectures. 🔗 Connect With Me & Resources: 💬 Discord Community: https://discord.gg/NymgnUrP 📸 Instagram: https://www.instagram.com/pavithravbhuvan/ 💼 LinkedIn: https://www.linkedin.com/in/pavithra-vijayan-6a68379a/ 🎯 Topmate: https://topmate.io/pavithra_vijayan