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?
Uses Neo4j as the storage backend for the knowledge graph, providing unified graph storage and vector search capabilities.
Why this server?
ATLAS has been completely rewritten to use Neo4j as its graph database, providing native relationship management, ACID-compliant transactions, and optimized queries for data integrity.
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?
Allows natural language to Cypher query conversion, knowledge graph memory storage, and exploration of graph databases with queries like 'What is in this graph?'
Why this server?
Integrates with Neo4j database to store and query BloodHound data about Active Directory and Azure Active Directory environments, enabling natural language queries for security analysis without writing Cypher queries directly.
Why this server?
Integrates with Neo4j graph database to provide graph-based context expansion and relationship-focused document retrieval capabilities
Why this server?
Uses Neo4j as the backend storage engine for the knowledge graph, providing powerful graph querying capabilities, high performance, and scalability for complex knowledge graph applications.
Why this server?
Stores and processes knowledge graphs of chat conversations, enabling relationship navigation between messages, concepts, and topics.
Why this server?
Provides a knowledge graph management interface for storing and retrieving information in Neo4j graph databases, with tools for creating entities and relationships, searching and filtering data, updating entities, and introspecting database schema.
Why this server?
Enables execution of Cypher queries against a Neo4j graph database, allowing management of graph database operations through the Model Context Protocol.
Why this server?
Planned future integration for expanded database options and more advanced relationship modeling for emails
Why this server?
Provides integration with Neo4j for storing and managing knowledge graph memory, allowing operations like creating entities, creating relations, adding observations, deleting entities, deleting observations, deleting relations, reading the graph, searching nodes, and opening specific nodes.