Road to NODES AI - End-to-End Neo4j Developer Workspace with MCP

This session is designed to show you how to accelerate Neo4j GenAI projects by using the Model Context Protocol (MCP) to create a fully integrated developer workspace. Proof-of-Value projects are often where ideas slow down, as teams move from data exploration to modeling, ingestion, and validation. In this workshop, you will see how an MCP-based IDE template streamlines this entire workflow and significantly reduces time-to-value.
The workshop demonstrates how to combine Neo4j and third-party MCP servers to support every stage of development, from data discovery and graph modeling to ingestion and use case verification. You will explore how this approach enables rapid prototyping across both structured and unstructured data, making it easier to test and validate the broad range of use cases supported by Neo4j.
Through practical examples and walkthroughs, you will learn how to apply this end-to-end workspace pattern to your own GenAI initiatives. You will leave with a clear understanding of how to adopt MCP in Neo4j projects to move faster from idea to working solution.
You will learn:

• How to use MCP to build an end-to-end Neo4j GenAI developer workspace
• How to accelerate data discovery, modeling, and ingestion for Proof-of-Value projects
• How to prototype and validate GenAI use cases across structured and unstructured data
• How to reduce time-to-value using an MCP-based development approach