MCP Neo4j Memory Server provides a knowledge graph storage solution for AI assistants using Neo4j as the backend database. Built by JovanHsu, this implementation enables storing and retrieving contextual information in a graph structure, making it particularly effective for maintaining complex relationships between data points. The server integrates with the Model Context Protocol SDK and uses Fuse.js for fuzzy searching capabilities, allowing AI models to efficiently query and update their memory. Ideal for applications requiring persistent memory across conversations and sophisticated knowledge representation.
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This MCP server may use standard commands or have its functionality documented in the README. Check the Setup or README tabs for more information.
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