MCP Neo4j Knowledge Graph Memory Server

What is MCP Neo4j Knowledge Graph Memory Server? MCP Neo4j Knowledge Graph Memory Server is a memory server based on the Neo4j graph database, designed for storing and retrieving information during interactions between AI assistants and users. It enhances the official Knowledge Graph Memory Server by using Neo4j as the backend storage engine. How to use MCP Neo4j Knowledge Graph Memory Server? To use the server, you can install it via npm or Docker. For npm, run npm install -g @jovanhsu/mcp-neo4j-memory-server. For Docker, clone the repository and use docker-compose to start the server. Key features of MCP Neo4j Knowledge Graph Memory Server? High-performance storage based on Neo4j graph database Powerful fuzzy search and exact match capabilities Complete CRUD operations for entities, relationships, and observations Full compatibility with the MCP protocol Support for complex graph queries and traversals Docker support for easy deployment Use cases of MCP Neo4j Knowledge Graph Memory Server? Storing user interactions for personalized AI responses Building complex knowledge graph applications Enhancing AI assistant capabilities with memory retrieval FAQ from MCP Neo4j Knowledge Graph Memory Server? Can I use this server with any AI assistant? Yes! It is designed to integrate with various AI assistants that support the MCP protocol. Is there a cost to use the MCP Neo4j Knowledge Graph Memory Server? No, it is open-source and free to use under the MIT license. What are the system requirements? You need Node.js >= 22.0.0 and a Neo4j database (local or remote) to run the server.

As an MCP (Model Context Protocol) server, MCP Neo4j Knowledge Graph Memory Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the server, you can install it via npm or Docker. For npm, run npm install -g @jovanhsu/mcp-neo4j-memory-server. For Docker, clone the repository and use docker-compose to start the server. Key features of MCP Neo4j Knowledge Graph Memory Server? High-performance storage based on Neo4j graph database Powerful fuzzy search and exact match capabilities Complete CRUD operations for entities, relationships, and observations Full compatibility with the MCP protocol Support for complex graph queries and traversals Docker support for easy deployment Use cases of MCP Neo4j Knowledge Graph Memory Server? Storing user interactions for personalized AI responses Building complex knowledge graph applications Enhancing AI assistant capabilities with memory retrieval FAQ from MCP Neo4j Knowledge Graph Memory Server? Can I use this server with any AI assistant? Yes! It is designed to integrate with various AI assistants that support the MCP protocol. Is there a cost to use the MCP Neo4j Knowledge Graph Memory Server? No, it is open-source and free to use under the MIT license. What are the system requirements? You need Node.js >= 22.0.0 and a Neo4j database (local or remote) to run the server.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.