mcp-neo4j-memory-server
The MCP Neo4j Knowledge Graph Memory Server is designed to store and retrieve data during AI assistant and user interactions using Neo4j's graph database for improved performance and scalability. It features robust graph querying capabilities and is fully compatible with the MCP protocol, making it suitable for complex knowledge graph applications.
What are the prerequisites for using MCP Neo4j Knowledge Graph Memory Server?
You need Node.js version 22.0.0 or higher and a Neo4j database (either local or remote).
How does Neo4j improve the performance of the Knowledge Graph Memory Server?
Neo4j provides high-performance graph database storage, allowing for efficient complex graph queries and traversals, which enhances the server's performance and scalability.
Can I use MCP Neo4j Knowledge Graph Memory Server with Docker?
Yes, the server supports Docker, making it easy to deploy using docker-compose.
Is the server compatible with the MCP protocol?
Yes, MCP Neo4j Knowledge Graph Memory Server is fully compatible with the MCP protocol.
What are the main advantages of using Neo4j over other storage solutions?
Neo4j offers native graph database capabilities, high-performance querying with Cypher, efficient relationship handling, built-in visualization tools, and scalability through cluster deployment.