Going Meta S03E01 – Ontology Creation with the Neo4j MCP Server

Season 03 Episode 1 of Going Meta – a Series on Semantics, Knowledge Graphs and All Things AI
Topic: Ontology creation with the Neo4j Data Modeling MCP Server

Jesús Barrasa: https://twitter.com/BarrasaDV
Repository: https://github.com/jbarrasa/goingmeta
Knowledge Graph Book: https://bit.ly/3LaqE6b
Previous Episodes: https://neo4j.com/video/going-meta-a-series-on-graphs-semantics-and-knowledge/

Guest: Alex Gilmore – https://www.linkedin.com/in/alexander-gilmore-622721116/

Season2 Recap: https://medium.com/neo4j/going-meta-two-years-of-knowledge-graphs-3bd70aaf7be0
Data Modeling MCP Server: https://neo4j.com/developer/genai-ecosystem/model-context-protocol-mcp/#_mcp_neo4j_data_modeling
Explore the Neo4j Data Modeling MCP Server: https://neo4j.com/blog/developer/neo4j-data-modeling-mcp-server/
Neo4j Data Modeling MCP Server: https://www.youtube.com/watch?v=dVwUXzst4Vo @jasonkoo_dev
Blue Plaques: https://www.english-heritage.org.uk/visit/blue-plaques/

0:00 Welcome to Going Meta Season 3!
0:41 Introducing Alex & today’s focus on Neo4j MCP servers
5:00 Why data modeling and context matter for AI integration
7:16 Overview of MCP and Neo4j’s growing MCP server ecosystem
9:22 New MCP servers: Cypher, Aura Management, and Memory
10:35 Slides & setup: what’s new in data modeling with MCP
13:15 Understanding the data modeling flow with agents and servers
20:06 Demo setup: using London Blue Plaques dataset
28:25 Creating a new data model with Claude and the MCP server
33:25 Visualizing and refining the model (mermaid diagram)
36:43 Data ingestion and validation with Cypher MCP
42:56 Querying the model: testing results and refining schema
47:32 Turning the model into an ontology (Mermaid → OWL conversion)
57:01 Q&A and WrapUp

#graphdatabase #neo4j #graphrag #knowledgegraphs #ontology #data