Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "mcp-neo4j-knowledge-": {
      "command": "npx",
      "args": [
        "-y",
        "henrychong-ai/mcp-neo4j-knowledge-graph"
      ]
    }
  }
}

README Excerpt

<p align="center"> <img src="https://assets.henrychong.com/mcp-neo4j-knowledge-graph/logo-readme.png" alt="Neo4j Knowledge Graph MCP Server" width="800"> </p> <h1 align="center">Neo4j Knowledge Graph MCP Server</h1> <p align="center"> Scalable, high-performance knowledge graph memory system with semantic retrieval, contextual recall, and temporal awareness. Provides any LLM client supporting MCP (e.g., Claude Desktop, Cursor, GitHub Copilot) with resilient, adaptive, and persistent long-term ont

Tools (19)

Pythonadd_observations_batchcreate_entities_batchcreate_relations_batchcritical_ratioenableParallelmaxBatchSizemcp__kg__add_observationsmcp__kg__create_entitiesmcp__kg__create_relationsmcp__kg__search_nodesmcp__kg__semantic_searchmcp_cache_hits_totalmcp_cache_invalidations_totalmcp_cache_misses_totalmcp_cache_size_currentmcp_query_duration_secondsonProgressupdate_entities_batch

Topics

aiclaudegraph-databaseknowledge-graphllmmcpmcp-servermodel-context-protocolneo4jopenaisemantic-searchtemporal-versioningtypescriptvector-embeddings

mcp-neo4j-knowledge-graph

Quick Install

README Excerpt

Tools (19)

Topics

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