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?
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?
Uses Neo4j as the storage backend for the knowledge graph, providing unified graph storage and vector search 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?
Mentioned in a tutorial about combining Tavily MCP with Neo4j MCP server to build a knowledge graph assistant
Why this server?
Listed as a supported data source for integration, allowing access to Neo4J graph databases.
Why this server?
Provides read-only access to Neo4j data by exposing tables as relational SQL models, allowing retrieval of live data through simple MCP queries.
Why this server?
Listed as a supported data source that can be connected to through the CData JDBC driver.
Why this server?
Enables querying Neo4j data sources by exposing them as relational SQL models that can be accessed through natural language queries.
Why this server?
Allows SQL-based querying of Neo4J graph database.
Why this server?
Provides SQL-based querying of Neo4j graph databases.
Why this server?
Allows read-only SQL-based querying of Neo4J graph databases, nodes, and relationships.
Why this server?
Provides SQL-like querying for Neo4j graph databases, converting graph structures into relational table formats.
Why this server?
Listed as a supported data source for integration through the CData JDBC Driver framework.
Why this server?
Provides read-only access to Neo4j data through SQL models, allowing queries of Neo4j data through natural language requests.
Why this server?
Allows SQL-based querying of Neo4J graph databases, translating SQL to Cypher queries.
Why this server?
Provides SQL-based access to Neo4j graph database data.
Why this server?
Listed as a supported data source for integration, enabling access to Neo4j graph database data through the CData JDBC Driver.
Why this server?
Listed as a supported data source that can be queried through the MCP server.
Why this server?
Provides SQL-based access to Neo4j data, enabling retrieval of graph database information through natural language questions.
Why this server?
Listed as a supported data source that can be integrated with the MCP server for retrieving data.
Why this server?
Listed as a supported data source that can be integrated with the MCP server for querying Neo4j data.
Why this server?
Provides SQL interface for Neo4J graph databases.
Why this server?
Provides SQL-based querying of Neo4J graph database data.
Why this server?
Provides access to Neo4J graph database data through relational SQL models.
Why this server?
Enables querying Neo4j graph databases through SQL, providing access to graph data in a relational format.
Why this server?
Allows querying Neo4J graph databases through SQL, transforming graph data into a relational format.
Why this server?
Listed as a supported data source that can be accessed through the CData JDBC driver integration.
Why this server?
Enables querying of SAS Data Sets containing Neo4J data using SQL.
Why this server?
Listed as a supported data source for integration through the CData JDBC driver.
Why this server?
Listed as a supported data source in the compatibility table, enabling access to Neo4j data.
Why this server?
Allows querying Neo4j graph database in a read-only format.
Why this server?
Allows SQL-based querying of Neo4j graph databases.
Why this server?
Provides SQL-based access to Neo4J graph databases and nodes.
Why this server?
Listed as a supported data source that can be connected to through the CData JDBC driver.
Why this server?
Provides SQL-based querying of Neo4j graph database nodes and relationships.
Why this server?
Allows querying Neo4j graph database data through relational SQL models.
Why this server?
Provides a read-only interface to Neo4j graph databases, allowing querying of live Neo4j data through a simplified SQL model provided by the CData JDBC Driver.
Why this server?
Enables querying Neo4J graph database data through SQL interfaces.
Why this server?
Provides access to Neo4j graph database data through relational SQL models, with tools for listing tables, retrieving column information, and executing SQL queries.
Why this server?
Provides SQL-based access to Neo4j graph database data.
Why this server?
Listed as a supported data source that can be integrated with the MCP server for data access.
Why this server?
Enables SQL-based querying of Neo4J graph database data
Why this server?
Allows retrieval of Neo4j graph database data through SQL-based tools for listing tables, retrieving column information, and executing SELECT queries.
Why this server?
Listed as a supported data source for accessing Neo4j graph databases.
Why this server?
Enables SQL-based access to Neo4J graph database nodes and relationships.
Why this server?
Listed as a supported data source that can be connected to through the CData JDBC driver, enabling data querying capabilities.
Why this server?
Listed as a supported data source for integration, allowing access to Neo4j data through the MCP server.
Why this server?
Provides access to Neo4j data by exposing it as relational SQL models through the CData JDBC Driver.
Why this server?
Listed as a supported data source that can be accessed through the CData JDBC driver, allowing for data retrieval from Neo4j graph database.
Why this server?
Provides SQL-based access to Neo4j graph databases, making graph data accessible via natural language queries.
Why this server?
Enables querying Neo4J graph database data through a SQL interface via the MCP server.
Why this server?
Provides SQL interface for querying Neo4j graph databases.
Why this server?
Allows querying Neo4j graph database data through SQL interfaces, making graph relationship information accessible via natural language.
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?
Optional knowledge graph integration for parsing GitHub repositories, validating AI-generated code against real implementations, and detecting AI hallucinations in code generation.
Why this server?
Uses Neo4j as the database backend for storing and querying the knowledge graph, supporting entity relationships and temporal data management
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 temporally-aware knowledge graphs, supporting entity management, search capabilities, and graph maintenance operations
Why this server?
Leverages Neo4j graph database to perform sophisticated scientific reasoning, storing and manipulating the graph structures used in the reasoning process
Why this server?
Powers the Knowledge Cortex component with graph database capabilities for storing entities, relationships, and facts, supporting complex queries and pattern detection.
Why this server?
Leverages Neo4j to build knowledge graphs of code repositories for validating AI-generated code and detecting hallucinations
Why this server?
Optional integration with Neo4j for knowledge graph functionality, supporting repository analysis and AI hallucination detection
Why this server?
Provides SQL-based querying of Neo4j graph databases.
Why this server?
Enables access to Neo4j graph database data by exposing it as relational SQL models through the CData JDBC driver.
Why this server?
Enables querying Neo4j graph database content through SQL-like interfaces, translating to Cypher queries.
Why this server?
Provides SQL-based access to Neo4j graph database data.
Why this server?
Listed as a supported data source that can be accessed through the MCP server.
Why this server?
Listed as a supported data source that can be accessed through the MCP server interface, allowing retrieval of Neo4J data through SQL queries.
Why this server?
Provides SQL-based access to Neo4J graph database data, supporting querying of nodes and relationships.
Why this server?
Provides SQL-based access to Neo4J graph database nodes and relationships through relational models.
Why this server?
Builds a comprehensive graph database of code structure, enabling storage and analysis of classes, methods, relationships, and dependencies
Why this server?
Enables SQL-based access to Neo4J graph databases, translating SQL queries to graph operations.
Why this server?
Listed as a supported data source for integration through the CData JDBC Driver
Why this server?
Provides SQL-based access to Neo4J graph databases, nodes, and relationships.
Why this server?
Enables SQL-based access to Neo4j graph database data.
Why this server?
Listed as a supported data source for integration with the MCP server, allowing access to Neo4J data.
Why this server?
Provides SQL-based access to Neo4J graph databases, enabling structured queries against graph data models.
Why this server?
Provides a SQL interface for querying Neo4j graph databases.
Why this server?
Provides SQL-based access to Neo4j graph database nodes and relationships.
Why this server?
Listed as a supported data source that can be accessed through CData JDBC Driver and exposed via the MCP server.
Why this server?
Provides tools for querying graph data from Neo4J databases through SQL-like interfaces.
Why this server?
Provides access to Neo4J graph databases through natural language queries without requiring SQL knowledge.
Why this server?
Included in the list of supported sources for data retrieval through the MCP server.
Why this server?
Enables querying of Neo4J graph database data through a relational SQL interface, allowing retrieval of node and relationship information using natural language questions.
Why this server?
Enables querying Neo4j graph database data through SQL-like syntax.
Why this server?
Provides SQL interface for querying Neo4j graph databases.
Why this server?
Enables access to Neo4J graph database data through SQL queries.
Why this server?
Tracks MCP actions in a Neo4j graph database, enabling pattern recognition, smart recommendations, cross-MCP analytics, user identity management, and organizational memory through knowledge graphs.
Why this server?
Optional integration for knowledge graph features when self-hosting Mem0, allowing creation and management of graph relationships between memory entities
Why this server?
Allows querying Neo4J graph databases using SQL-like syntax, providing read-only access to nodes, relationships, and graph properties.
Why this server?
Integrates with Neo4j graph database to provide graph-based context expansion and relationship-focused document retrieval capabilities
Why this server?
Can be combined with Neo4j MCP server to build knowledge graph assistants
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?
Stores relationship data and metadata in a Neo4j graph database, enabling semantic relationship mapping between content.
Why this server?
Stores knowledge graph data as nodes with properties and relationships, enabling graph database persistence with enhanced metadata, lineage tracking, and visualization metadata
Why this server?
Integrates with Neo4j graph database for expert relationship modeling, enabling network exploration, team formation, and relationship queries based on expertise connections.
Why this server?
Integrates with Neo4j (port 7475) as the Basal Ganglia component for procedural knowledge and pattern storage
Why this server?
Provides access to a Neo4j graph database containing German family business knowledge graph data, allowing for complex relationship queries and semantic searches through Cypher query execution
Why this server?
Planned future integration for expanded database options and more advanced relationship modeling for emails
Why this server?
Connects to Neo4j database containing BloodHound Active Directory data, enabling natural language queries to analyze attack paths, security vulnerabilities, and domain relationships.
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?
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.