{"id":"mcp-neo4j","name":"Neo4j MCP Servers","homepage":"https://github.com/neo4j-contrib/mcp-neo4j","repo_url":"https://github.com/neo4j-contrib/mcp-neo4j","category":"database","subcategories":["graph-database","knowledge-graph","cloud-management"],"tags":["neo4j","graph","cypher","knowledge-graph","aura","data-modeling"],"what_it_does":"A suite of four MCP servers that enable AI assistants to interact with Neo4j graph databases via natural language, covering Cypher query execution, persistent knowledge graph memory, Aura cloud instance management, and interactive data modeling.","use_cases":["Query a Neo4j graph database using natural language instead of writing Cypher","Build and maintain a persistent knowledge graph that survives across AI conversations","Manage Neo4j Aura cloud instances (create, delete, scale) through an AI assistant","Design and validate graph data models with Arrows.app visualization integration","Generate analytics and visualizations from Neo4j data"],"not_for":["Relational/SQL databases — this is graph-specific","Teams without an existing Neo4j instance or Aura account","Production workloads — this is a Neo4j Labs experimental project"],"best_when":"You already use Neo4j and want an AI assistant to query, model, or manage it without writing Cypher manually.","avoid_when":"You need a stable, production-grade integration; the Labs label means APIs and behavior may change.","alternatives":["mcp-redis","mcp-postgres","mcp-sqlite"],"af_score":63.9,"security_score":60.0,"reliability_score":null,"package_type":"mcp_server","discovery_source":["github"],"priority":"low","status":"evaluated","version_evaluated":"latest","last_evaluated":"2026-03-01T09:50:05.878777+00:00","performance":{"latency_p50_ms":null,"latency_p99_ms":null,"uptime_sla_percent":null,"rate_limits":null,"data_source":"llm_estimated","measured_on":null}}