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Want to understand how modern AI frameworks like LangGraph, MCP (Model Context Protocol), and LangChain can make chatbot development scalable and fun? In this hands-on workshop, we’ll explore how graph-based modularity helps you design chatbots that are flexible, easy to extend, and ready for real-world use.
You’ll sketch, code, and experiment with chatbot flows built from composable nodes, discovering how MCP principles keep everything clean and maintainable.
Proposed Agenda (3–3.5 hours)
17:00 Walk in
17:30 uur Dinner

  1. Kickoff & Inspiration (10 min)
    Why modular graphs + MCP are the future of chatbot design.
  2. Concepts in Context (10 min)
    How LangGraph, LangChain, and MCP work together.
  3. Live Demo (30 min)
    Building a simple chatbot step by step using LangGraph + LangChain with MCP as the design backbone.
  4. Hands-On Lab (90 min)
    In groups, design your own chatbot flow: identify nodes, apply MCP principles, and connect them in a LangGraph.
  5. Share & Discuss (30 min)
    Present chatbot designs, highlight MCP patterns, and reflect on scalability.
  6. Wrap-Up (10 min)
    Key lessons, resources, and ideas for your next AI-powered project.
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