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?
Search entity relationships and retrieve graph memory from a Neo4j database.
Why this server?
Supports the Cypher query language, allowing graph database interactions compatible with Neo4j.
Why this server?
Allows interaction with a local Neo4j graph database containing PDBe-KB data, enabling read-only Cypher queries to explore molecular interactions and relationships in the Protein Data Bank.
Why this server?
Provides an optional Neo4j backend for storing and querying the code property graph, enabling graph database capabilities.
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?
Mentioned in a tutorial about combining Tavily MCP with Neo4j MCP server to build a knowledge graph assistant
Why this server?
Provides tools for interacting with a Neo4j-compatible graph database (drevo) with full read and write access, enabling AI agents to manage entities, relationships, and execute Cypher queries.
Why this server?
Uses Neo4j as the storage backend for the knowledge graph, providing unified graph storage and vector search capabilities.
