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/
Chapters
- 00:00Welcome to Going Meta Season 3!
- 00:41Introducing Alex & today’s focus on Neo4j MCP servers
- 05:00Why data modeling and context matter for AI integration
- 07:16Overview of MCP and Neo4j’s growing MCP server ecosystem
- 09:22New MCP servers: Cypher, Aura Management, and Memory
- 10:35Slides & setup: what’s new in data modeling with MCP
- 13:15Understanding the data modeling flow with agents and servers
- 20:06Demo setup: using London Blue Plaques dataset
- 28:25Creating a new data model with Claude and the MCP server
- 33:25Visualizing and refining the model (mermaid diagram)
- 36:43Data ingestion and validation with Cypher MCP
- 42:56Querying the model: testing results and refining schema
- 47:32Turning the model into an ontology (Mermaid → OWL conversion)
- 57:01Q&A and WrapUp
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