Neo4j Integration Suite via Model Context Protocol (MCP)

The Model Context Protocol (MCP) establishes a formalized communication standard enabling seamless interaction between Large Language Models (LLMs) and external technological assets.

This framework empowers users of Claude Desktop or any compatible MCP Client (e.g., VS Code extensions, Cursor, Windsurf) to issue natural language commands affecting Neo4j and your Aura subscription, such as:

• Query the current schema and topology of the graph structure.
• Produce a visualization (chart) detailing the top-selling commodities based on transaction frequency, aggregate revenue, and mean order volume.
• List all existing cloud database instances.
• Provision a new Aura Professional instance named 'mcp-test', allocating 4GB of resources and enabling Graph Data Science features.
• Log the completion of today's work on the Neo4j MCP Servers, mentioning collaborators Andreas and Oskar.

Integrated Server Modules

mcp-neo4j-cypher - Natural Language to Cypher Translation Engine

Detailed specifications available here

Retrieves the schema definition for a specified database and subsequently executes generated declarative (read/write) Cypher statements against that data environment.

mcp-neo4j-memory - Persistent Graph-Based Knowledge Storage

Detailed specifications available here

Facilitates the persistent storage and efficient retrieval of discrete entities and their interrelationships within a user-managed knowledge graph hosted on a local or remote Neo4j deployment. This knowledge base remains accessible across disparate sessions and client applications.

mcp-neo4j-cloud-aura-api - Neo4j Aura Management Interface

Detailed specifications available here

Enables direct administrative control over your Neo4j Aura instances directly through your conversational AI interface.

Operations include instance creation/deletion, discovery via name, dynamic resource scaling (up/down), and feature enablement.

mcp-neo4j-data-modeling - Interactive Graph Schema Design and Visualization

Detailed specifications available here

Supports the creation, validation, and visual representation of Neo4j data models. Includes utility for importing and exporting models to and from the Arrows.app visualization tool.

Communication Transport Mechanisms

All server components are inherently compatible with several connection protocols:

• STDIO (Default): Standard input/output streams, optimized for local execution and direct integration with desktop applications like Claude Desktop.
• SSE: Server-Sent Events, suitable for real-time, web-oriented deployment scenarios.
• HTTP: Standardized, streamable HTTP for contemporary web services and microservice architectures.

HTTP Transport Configuration Details

To initiate a server operating via HTTP, append the --transport http argument:

bash

Simple HTTP startup

mcp-neo4j-cypher --transport http

Customized network binding and path setup

mcp-neo4j-cypher --transport http --host 127.0.0.1 --port 8080 --path /api/mcp/

Environment variables offer an alternative configuration method:

bash 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

Production Cloud Deployment

Every server module within this repository is packaged in containers, making them immediately deployable on major cloud infrastructure providers such as AWS ECS Fargate and Azure Container Apps. The HTTP transport mode is specifically engineered to support scalable, production-grade deployments featuring integrated auto-scaling and load balancing.

📋 Comprehensive Guide to Cloud Deployment →

The linked documentation covers: - AWS ECS Fargate: Detailed setup instructions involving auto-scaling groups and Application Load Balancers. - Azure Container Apps: Deploying via serverless containers with intrinsic traffic management and scaling features. - Operational Best Practices: Guidance on security posture, performance monitoring, required resource allocation, and diagnostics. - Integration Blueprints: Practical examples showing how MCP clients connect to these cloud-hosted servers.

Collaboration Guidelines

We warmly welcome external contributions! Please feel free to submit any proposed enhancements via a Pull Request.

Informative Blog Posts

• The Definitive Guide to the Model Context Protocol for Developers
• Enabling Conversational Interaction Between Claude and Neo4j using MCP
• Constructing Organizational Knowledge Graphs with Claude and Neo4j: A No-Code MCP Methodology

Licensing

This project is distributed under the MIT License.

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