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Learn to build powerful, adaptable AI agents using LangGraph and Model Context Protocol (MCP) in this comprehensive 2 hour 27 minute crash course tutorial. Master LangGraph's core concepts starting with project structure and fundamental building blocks, then progress through hands-on implementations including basic chatbots, tool integration, and ReACT agent architecture. Explore advanced features like memory management, real-time streaming capabilities, and human-in-the-loop feedback systems that provide reliability and controllability for agent actions. Discover how to leverage LangGraph's low-level, extensible primitives to create custom agents without rigid abstractions, enabling scalable multi-agent systems where each agent serves specific roles. Gain practical experience with token-by-token streaming and intermediate step visibility that gives users clear insight into agent reasoning and decision-making processes. Complete the tutorial by implementing an MCP server from scratch, equipping you with the skills to build production-ready agentic AI solutions with full customization capabilities and persistent context for long-running workflows.
