Road to NODES | Build Your First Knowledge Graph AI Agent with Neo4j MCP

This hands-on workshop shows you how to build smarter AI agents: ones that don’t lose context. You’ll use Neo4j’s Model Context Protocol (MCP) to give your agents persistent, graph-based memory, allowing for richer, multi-turn interactions and intelligent behavior grounded in your data.

You’ll walk through the full agent-building process: from setting up a knowledge graph, to integrating GraphRAG for multi-hop reasoning, and deploying an agent with contextual memory that evolves over time. By the end of the session, you’ll have a working, production-ready AI agent you can extend for your own use cases.

You will learn

• How to use Neo4j MCP to persist context across interactions
• How to build and query a knowledge graph for intelligent agents
• How to implement GraphRAG for contextual, multi-hop retrieval
• How to deploy and optimize your AI agent for real-world use