"Neo4j" matching MCP servers:

Enhanced knowledge graph memory server for AI assistants that uses Neo4j as the backend storage engine, enabling powerful graph queries and efficient storage of user interaction information with full MCP protocol compatibility.

Neo4j-backed MCP server managing code architecture dependency graphs, enabling AI agents to query impact, submit change intents, and coordinate reactive multi-agent workflows.

Provides persistent hybrid memory (Neo4j + Qdrant) for AI agents, enabling durable recall of decisions, business rules, and code patterns across sessions, plus autonomous CI/CD error investigation.

Provides persistent memory capabilities through Neo4j graph database integration, allowing storage and retrieval of interconnected knowledge with complex relationships between entities. Enables long-term retention and querying of information across multiple conversations through graph-based memory management.

Enables an AI with persistent consciousness through a dual-layer architecture using Neo4j and Google Gemini, allowing natural communication, learning, and personality development.