Neo4j is a graph database management system developed by Neo4j, Inc. It is a native graph database that stores data in nodes connected by relationships, providing an efficient way to query connected data.
Why this server?
Can be combined with Neo4j MCP server as mentioned in the tutorial for building a knowledge graph assistant
Why this server?
Provides memory-focused tools for storing, retrieving, and connecting information in a Neo4j graph database, enabling AI agents to create persistent memories with semantic relationships, perform natural language searches, and build knowledge networks with flexible labeling and temporal tracking.
Why this server?
Uses Neo4j as the storage backend for the knowledge graph, providing unified graph storage and vector search capabilities.
Why this server?
Mentioned in a tutorial about combining Tavily MCP with Neo4j MCP server to build a knowledge graph assistant
Why this server?
Integrates with Neo4j graph database to provide graph-based context expansion and relationship-focused document retrieval capabilities
Why this server?
Provides integration between Neo4j graph database and Claude Desktop, enabling graph database operations through natural language interactions. It allows executing Cypher queries, creating nodes and relationships, and performing complex graph operations via natural language commands.
Why this server?
Provides tools for interacting with RushDB, a property-centric graph database built on Neo4j. Enables ingesting JSON/CSV data, performing graph traversals, aggregations, vector similarity searches, and schema discovery through a unified JSON search interface.
Why this server?
Enables AI assistants to use Neo4j knowledge graphs as dynamic instruction manuals and project memory for standardized coding workflows, research analysis, and knowledge management with hybrid reasoning capabilities combining structured graph data with semantic search.
Why this server?
Allows SQL-based querying of Neo4J graph database.
