Congratulations on completing "Building Custom MCP Tools with Python"!
Throughout this course, you’ve built a complete MCP server that connects Neo4j graph databases with AI tools using the Model Context Protocol.
Understanding MCP Fundamentals
You now know how to:
-
Create MCP servers using the FastMCP framework
-
Define tools that AI assistants can call
-
Expose resources through URI patterns
-
Create prompts for guided user interactions
Working with Neo4j
You’ve learned to:
-
Connect to Neo4j using lifespan management
-
Query graphs with the Neo4j Python driver
-
Handle database connections securely with environment variables
-
Access the driver through the Context object
-
Write efficient Cypher queries
Building Production-Ready Tools
You’ve mastered:
-
Implementing pagination for large datasets
-
Adding logging and progress reporting
-
Handling errors gracefully
-
Validating inputs and queries
-
Structuring responses consistently
Creating Deterministic Workflows
You can now:
-
Use MCP tools to explore graph schemas
-
Validate Cypher statements before implementation
-
Transform probabilistic AI suggestions into reliable code
-
Build tools that generate and test queries systematically
Pro Tips
Performance
-
Use lifespan management for connection pooling
-
Implement pagination for queries that return many results
-
Add proper indexes to support your query patterns
Security
-
Never hardcode credentials
-
Store sensitive configuration in environment variables
-
Validate all user inputs before querying
Best Practices
-
Test queries with MCP tools before implementing them
-
Add comprehensive logging for debugging
-
Use the Context object for progress reporting
-
Return structured data for easier consumption
Want to Learn More?
MCP Resources
GraphRAG Resources
Resources
-
There are many resources available to you for learning more about Neo4j
https://neo4j.com/developer/resources/ -
Neo4j Community Site where you can ask or answer questions about Neo4j and discuss with other users:
https://community.neo4j.com -
Neo4j documentation:
https://neo4j.com/docs/ -
Neo4j Sandboxes for experimenting with graphs:
https://sandbox.neo4j.com/?ref=graph-academy -
Videos on the Neo4j YouTube channel:
https://www.youtube.com/channel/UCvze3hU6OZBkB1vkhH2lH9Q -
Become a Neo4j certified developer:
https://graphacademy.neo4j.com/categories/certification/ -
GitHub repository:
https://github.com/neo4j-contrib -
Neo4j events all over the world:
https://neo4j.com/events/world/all/ -
Graph Gists for learning more use cases for Neo4j:
https://neo4j.com/graphgists/ -
Attend a Neo4j meetup:
https://www.meetup.com/topics/neo4j/ -
View questions/answers raised about Neo4j:
https://stackoverflow.com/tags/neo4j/hot
Course feedback
Any feedback that you could provide us on this course would be greatly appreciated. If you have any feedback for us, please complete this form. We actively monitor feedback and use it to improve our course catalogue.
Summary
Congratulations on completing this course!
You have learned how to build a complete MCP server that connects Neo4j graph databases with AI tools using the Model Context Protocol.
You can learn more about Neo4j on GraphAcademy.