Neo4j Live: Building AI Agents with Google’s MCP Toolbox
Google’s MCP Toolbox for Databases just got a major upgrade—now with Neo4j support! 🎉
Join us to explore how this integration supercharges GraphRAG-powered AI agents, making GenAI applications more accurate, reliable, and explainable.
This addition enables developers and organizations using Neo4j to create agentic tools that access their data using the popular GraphRAG techniques, expanding the Toolbox’s usefulness for Gen AI applications.
Guests: Kurtis Van Gent, Staff Software Engineer, Google + Michael Hunger, Head of Product Innovation & Developer Strategy, Neo4j
MCP Toolbox: https://github.com/googleapis/genai-toolbox
Docs: https://googleapis.github.io/genai-toolbox/getting-started/introduction/
GraphRAG: http://graphrag.com/
Demo code: https://github.com/neo4j-examples/neo4j-gcp-vertex-ai-langchain/tree/main/toolbox-companies
Blog: https://medium.com/google-cloud/building-ai-agents-with-googles-gen-ai-toolbox-and-neo4j-knowledge-graphs-835c0cda3090
Google Cloud Next 2025 - LangGraph and Gen AI Toolbox: Building generative AI agents on your databases https://cloud.withgoogle.com/next/25/speakers?session=BRK3-025
Chapters
- 00:00Introduction & Welcome
- 03:00What Are Agents and Agentic AI?
- 06:40The Role of Tools in Agentic AI
- 10:06Introducing Google’s GenAI Toolbox
- 22:44Neo4j Integration with GenAI Toolbox
- 34:42Live Demo: Investment Research Agent with Neo4j
- 46:57Multi-Step Query Execution with Agents
- 54:48Q&A: Toolbox Features & Future Plans
- 1:00:00WrapUp