Developing with Neo4j MCP Tools

Model Context Protocol (MCP) is an open standard designed to connect AI applications with tools and data sources.

MCP enables AI agents to access and interact with external resources as part of their reasoning step, allowing them to perform more complex tasks and collaborate effectively.

The Neo4j MCP server provides a set of tools that allow agents to interact with a Neo4j database, enabling them to perform tasks such as querying the graph, updating data, and retrieving insights.

You should:

• Have a basic understanding of Neo4j and CypheriFull definition for Cypher (opens in a new tab)Neo4j's implementation of GQL, the ISO standard query language for graph databases. It is declarative: you describe the pattern to find, and the database decides how to find it. - Neo4j Fundamentals course.
• Be familiar with the basics of Generative AIiGo to glossary for generative AI (opens in a new tab)Models that produce new content rather than classifying or scoring content that already exists. and Large Language Models - Neo4j & Generative AI Fundamentals course.

The course features hands-on challenges using GitHub CoPilot, you will need to enable either the free or Pro version.