Neo4j MCP Clients & Servers

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), 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.

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.

Related MCP server: mcp-server-cloudflare

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:

Environment variables are also supported:

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

License

MIT License