Summary
This is part of Neo4j Labs' experimental MCP suite, maintained by their Field GenAI team without official support guarantees. It connects to any Neo4j database and exposes Cypher query execution through natural language. You get schema inspection and both read and write query capabilities, so you can ask Claude things like "what's in this graph?" or "show me top products by sales volume" and it translates to Cypher on the fly. Requires the APOC plugin installed on your Neo4j instance for schema operations. Ships with stdio by default but supports HTTP and SSE transports if you're deploying to cloud infrastructure. If you need production SLAs, Neo4j has an official MCP server separately.
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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
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
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
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
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-cypher
Cloud 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 →
The deployment guide covers:
- AWS ECS Fargate: Step-by-step deployment with auto-scaling and Application Load Balancer
- Azure Container Apps: Serverless container deployment with built-in scaling and traffic management
- Configuration Best Practices: Security, monitoring, resource recommendations, and troubleshooting
- Integration Examples: Connecting MCP clients to cloud-deployed servers
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Blog Posts
- Everything a Developer Needs to Know About the Model Context Protocol (MCP)
- Claude Converses With Neo4j Via MCP - Graph Database & Analytics
- Building Knowledge Graphs With Claude and Neo4j: A No-Code MCP Approach - Graph Database & Analytics
- Using the Neo4j Extension in Gemini CLI
License
MIT License
Featured
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →Configuration
NEO4J_URI*Neo4j connection URI
NEO4J_USERNAME*Neo4j username
NEO4J_PASSWORD*secretNeo4j password
NEO4J_DATABASENeo4j database name
NEO4J_NAMESPACETool namespace prefix
NEO4J_RESPONSE_TOKEN_LIMITMaximum tokens for read query responses
NEO4J_READ_TIMEOUTTimeout in seconds for read queries
NEO4J_READ_ONLYAllow only read-only queries (true/false)
NEO4J_SCHEMA_SAMPLE_SIZESchema sample size
Categories
Registryactive
Packagemcp-neo4j-cypher
TransportSTDIO
AuthRequired
UpdatedNov 7, 2025
