A narrowly scoped MCP server: it persists personal knowledge graph memory into Neo4j and reuses it across sessions and clients. It is a Neo4j Labs experimental project without official product support, suited to users who already run Neo4j and accept version-change risk. It requires database credentials, and the capabilities of sibling servers in the same repository (Cypher, Aura management, data modeling) should not be attributed to it.
The Neo4j Knowledge Graph Memory Server is part of the Neo4j Labs collection of MCP servers, developed and maintained by the Neo4j Field GenAI team and explicitly not supported by the Neo4j product team (no SLAs, no backwards-compatibility guarantees, experimental features are common). It stores and retrieves entities and relationships from your personal knowledge graph in a local or remote Neo4j instance, so that information can be accessed across different sessions, conversations, and clients. It runs as the PyPI package mcp-neo4j-memory (version 0.4.5) over stdio and requires Neo4j connection settings such as NEO4J_URI, NEO4J_USERNAME, and NEO4J_PASSWORD.