This MCP enables storage and management of AI knowledge graphs with a Neo4j backend, providing scalable and efficient graph data handling, fast retrieval, and high performance.
Added on:
Created by:
Mar 15 2025
This MCP enables storage and management of AI knowledge graphs with a Neo4j backend, providing scalable and efficient graph data handling, fast retrieval, and high performance.
Added on:
Created by:
Mar 15 2025
JovanHsu
Featured
What is MCP Neo4j Memory Server?
The MCP Neo4j Memory Server offers a specialized platform for storing and querying AI knowledge graphs efficiently. It leverages Neo4j for high-performance graph data storage, enabling complex relationship and data modeling, advanced search, and enhanced scalability. Its features include integrated CRUD operations, visualization capabilities, and compatibility with containerized deployment environments through Docker. It is designed for developers and researchers needing reliable graph storage for AI applications, knowledge management, and complex data analysis tasks.
Who will use MCP Neo4j Memory Server?
- AI Developers
- Research Scientists
- Data Engineers
- Knowledge Graph Practitioners
How to use the MCP Neo4j Memory Server?
- Step 1: Install Neo4j database or run via Docker
- Step 2: Clone the MCP Neo4j Memory Server repository
- Step 3: Install dependencies using npm or pnpm
- Step 4: Configure environment variables for Neo4j connection
- Step 5: Run the server with 'pnpm dev' for development or publish for production
- Step 6: Connect your application to the server using the supported SDKs or APIs
MCP Neo4j Memory Server's Core Features & Benefits
The Core Features
- Storage of AI knowledge graphs in Neo4j
- Efficient graph data querying using Cypher
- Visualization and relationship modeling
- Graph search with Fuse.js integration
- Containerized deployment with Docker
- CRUD operations for graph data management
The Benefits
- Scalable and high-performance graph storage
- Fast relationship querying and data retrieval
- Easy deployment via Docker
- Rich search and visualization capabilities
- Supports complex graph analysis and AI workloads
MCP Neo4j Memory Server's Main Use Cases & Applications
- AI knowledge graph storage and retrieval
- Research on complex data relationships
- Graph-based data analysis and visualization
- Development of AI assistants with memory capabilities
FAQs of MCP Neo4j Memory Server
Developer
- JovanHsu
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