Neo4j Memory MCP server
MCP Neo4j Knowledge Graph Memory Server
986 stars4.8k downloads/wk
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If you have run it, two minutes of your experience saves the next person an afternoon.
Neo4j Memory tools (9, 5 write)
write = sends, deletes, buys or postsRead from the package source without running it. The installed server may list more.
add_observationsAdd new observations/facts to existing entities in the knowledge graph.
create_entitieswrite actionCreate multiple new entities in the knowledge graph.
create_relationswrite actionCreate multiple new relationships between existing entities in the knowledge graph.
delete_entitieswrite actionDelete entities and all their associated relationships from the knowledge graph.
delete_observationswrite actionDelete specific observations from existing entities in the knowledge graph.
delete_relationswrite actionDelete specific relationships between entities in the knowledge graph.
find_memories_by_nameFind specific entities by their exact names.
read_graphRead the entire knowledge graph with all entities and relationships.
search_memoriesSearch for entities in the knowledge graph using fulltext search.
Public scan report
scanner v0.1.10 · 2026-10-01 · same rubric, same numbers if you re-run it
- Code scan7 source files scanned25/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitystatic API keys via environment variables6/15
- Maintenancelast push 22 days ago15/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
Install Neo4j Memory in Claude Code, Cursor or VS Code
claude mcp add mcp-neo4j-memory -- uvx mcp-neo4j-memory
What the publisher says
From the Neo4j Memory repository's README, as published. We do not edit it. Read it on GitHub
Neo4j Labs MCP Servers
Neo4j Labs
These MCP servers are a part of the Neo4j Labs program. They are developed and maintained by the Neo4j Field GenAI team and welcome contributions from the larger developer community. These servers are frequently updated with new and experimental features, but are not supported by the Neo4j product team.
They are actively developed and maintained, but we don’t provide any SLAs or guarantees around backwards compatibility and deprecation.
If you are looking for the official product Neo4j MCP server please find it here.
Overview
Model Context Protocol (MCP) is a standardized protocol for managing context between large language models (LLMs) and external systems.
This lets you use Claude Desktop, or any other MCP Client (VS Code, Cursor, Windsurf, Gemini CLI), to use natural language to accomplish things with Neo4j and your Aura account, e.g.:
- What is in this graph?
- Render a chart from the top products sold by frequency, total and average volume
- List my instances
- Create a new instance named mcp-test for Aura Professional with 4GB and Graph Data Science enabled
- Store the fact that I worked on the Neo4j MCP Servers today with Andreas and Oskar
Servers
mcp-neo4j-cypher - natural language to Cypher queries
Details in Readme
Get database schema for a configured database and execute generated read and write Cypher queries on that database.
Requirement: Requires the APOC plugin to be installed and enabled on the Neo4j instance for schema inspection.
mcp-neo4j-memory - knowledge graph memory stored in Neo4j
Details in Readme
Store and retrieve entities and relationships from your personal knowledge graph in a local or remote Neo4j instance. Access that information over different sessions, conversations, clients.
mcp-neo4j-cloud-aura-api - Neo4j Aura cloud service management API
Details in Readme
Manage your Neo4j Aura instances directly from the comfort of your AI assistant chat.
Create and destroy instances, find instances by name, scale them up and down and enable features.
mcp-neo4j-data-modeling - interactive graph data modeling and visualization
Details in Readme
Create, validate, and visualize Neo4j graph data models. Allows for model import/export from Arrows.app.
Transport Modes
All servers support multiple transport modes:
- STDIO (default): Standard input/output for local tools and Claude Desktop integration
- SSE: Server-Sent Events for web-based deployments
- HTTP: Streamable HTTP for modern web deployments and microservices
HTTP Transport Configuration
To run a server in HTTP mode, use the --transport http flag:
# Basic HTTP mode
mcp-neo4j-cypher --transport http
# Custom HTTP configuration
mcp-neo4j-cypher --transport http --host 127.0.0.1 --port 8080 --path /api/mcp/Environment variables are also supported:
export NEO4J_TRANSPORT=http
export NEO4J_MCP_SERVER_HOST=127.0.0.1
export NEO4J_MCP_SERVER_PORT=8080
export NEO4J_MCP_SERVER_PATH=/api/mcp/
mcp-neo4j-cypherCloud Deployment
All servers in this repository are containerized and ready for cloud deployment on platforms like AWS ECS Fargate and Azure Container Apps. Each server supports HTTP transport mode specifically designed for scalable, production-ready deployments with auto-scaling and load balancing capabilities.
📋 Complete Cloud Deployment Guide →
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Neo4j Memory: common questions
- Is Neo4j Memory MCP server safe?
- Yes, by our scan: it is graded A (85/100). Read the Neo4j Memory safety report
- How do I install Neo4j Memory?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Neo4j Memory need an API key?
- Yes. The registry entry asks for
NEO4J_PASSWORD. - Is Neo4j Memory maintained?
- The last commit was 34 days ago (2026-09-09). The latest release is v1.0.0.
- What can I use instead of Neo4j Memory?
- Servers from other publishers that do the same job: Codebase Memory MCP server and State Memory MCP server.
Alternatives to Neo4j Memory
Same job from other publishers: the closest match first, then the best rated.
- Codebase MemoryCodebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.not reviewedWidely usedC
State Memory MCPPersistent workflow graph server tracking tasks, decisions, spatial entities, and blockers.not reviewedEstablishedA