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?
Supports the Cypher query language, allowing graph database interactions compatible with Neo4j.
Why this server?
Integrates with Neo4j graph database for storing architectural relationships via call graphs, enabling structural navigation and reverse dependency analysis.
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 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?
Uses Neo4j as the graph database to store and query entities, relationships, embeddings, and metadata for the knowledge graph.
Why this server?
Uses Neo4j as the storage backend for the knowledge graph, providing unified graph storage and vector search capabilities.
Why this server?
Enables querying and analysis of BloodHound Community Edition data through its REST API and Cypher queries, providing tools for Active Directory attack path analysis, user/group/computer assessment, privilege escalation identification, and security principal relationship mapping.
Why this server?
Exposes platform standards and architectural guidelines for using Neo4j to implement agent memory systems.
Why this server?
Can be combined with Neo4j MCP server to build knowledge graph assistants
