Developing with Neo4j MCP Tools
Model Context Protocol, referred to as MCP, is an open standard designed to connect AI applications with tools and data sources.
It 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.
In this course, you will learn:
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How MCP Servers define sets of tools that AI agents can discover and use.
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How MCP Clients establish connections to access and call tools to perform tasks.
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How Neo4j’s suite of MCP tools can help aid your development on top of Neo4j.
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How to build your own GraphRAG tool to retrieve information from a Neo4j database.
Prerequisites
This course assumes that you have are familiar with the basics of Generative AI and Large Language Models. If you are not, we recommend that you take the GenAI Fundamentals course first.
This course also uses uv, a Python package manager, and its uvx command to run MCP servers. If you are not familiar with uv, you should also review the uv documentation.
The course features hands-on challenges using GitHub CoPilot, you will need to enable either the free or Pro version.
Duration
2 hours
What you will learn
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How the MCP protocol works
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How to integrate Neo4j’s MCP tools into your IDEs and AI applications
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How to build GraphRAG applications with Neo4j MCP tools
This course includes
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4 lessons
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7 short hands-on challenges
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3 simple quizzes to support your learning
Get Support
If you find yourself stuck at any stage then our friendly community will be happy to help. You can reach out for help on the Neo4j Community Site, or head over to the Neo4j Discord server for real-time discussions.
Feedback
If you have any comments or feedback on this course you can email us on graphacademy@neo4j.com.