Graph Database - Amsterdam

** RSVP here. RSVPs on Meetup will not provide you workshop access

Workshop: Get Started with Knowledge Graph MCP Servers

Workshop Goal: You will learn "hands-on" how to leverage MCP to work with Knowledge Graphs

✔️ Pre-Workshop Checklist

• RSVP here. Required to enter workshop
• Install Claude Desktop
• Setup Aura (Neo4j Desktop as backup)
• Install Python on computer

Curious about adding the power of knowledge graphs & graph databases to your AI projects but don’t know where to start? Join us for an interactive introduction to Neo4j’s MCP (Model Context Protocol) servers, designed to make working with graphs easier, flexible, and more scalable than ever—no prior Neo4j experience required!
In this beginner-focused session, we’ll walk through the three core MCP servers:

• Knowledge Graph Memory Server – This drop-in replacement to Anthropic’s own memory server brings long term memory to your AI projects. No need to understand or have pre-existing data models to get started.
• Cypher Server – Entry point to Neo4j’s more powerful features by enabling a natural language interface to Cypher (graph query language). Allows an LLM backed system to manage construction and/or retrieval of graph data.
• Neo4j Cloud Aura Server – The cloud-based management layer that makes it easy to deploy, monitor, and modify existing Neo4j databases with confidence.

You’ll learn how these servers work together, where each fits in your AI workflow, and how to get started with real-world graph projects. Whether you're a developer, analyst, or curious technologist, this webinar will give you the foundation to explore Neo4j with clarity and confidence.

Join thousands of developers and data & AI practitioners in this free, 24-hour conference to learn about the latest advancements in intelligent systems and gain insights from speakers showcasing their implementations, tools, and models.

This year's five themes are:

• Applications: Libraries, Frameworks, and Platforms
• AI Engineering: Generative AI, RAG, and Agents
• Data Intelligence: Machine Learning, Algorithms, and Models
• Graphs: Visualization, Knowledge Graphs and Tips & Tricks
• Architecture: Frameworks, Data Platforms, Clouds and Beyond

Submit your talks by June 15.

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