mcp-neo4jThis collection of tools connects your AI chat apps directly to Neo4j graph databases. It lets your assistant view data structures, run safe queries to find or save information, and manage your cloud

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Reviewed by Daniel Nikulshyn·Updated July 2026

Overview

The mcp-neo4j collection connects AI chat apps to Neo4j graph databases using the Model Context Protocol (MCP). It allows users to view data structures, run safe queries, and manage cloud services like Neo4j Aura. The collection includes several servers, such as mcp-neo4j-cypher for natural language to Cypher queries, mcp-neo4j-memory for knowledge graph memory, mcp-neo4j-cloud-aura-api for Aura cloud service management, and mcp-neo4j-data-modeling for interactive graph data modeling. These tools are developed by the Neo4j Field GenAI team and are part of the Neo4j Labs program, which means they are not officially supported but are actively maintained and updated with new features.

Key features

Natural language to Cypher queries
Knowledge graph memory storage and retrieval
Neo4j Aura cloud service management
Interactive graph data modeling and visualization
Multiple transport modes (STDIO, SSE, HTTP)
Cloud deployment ready

Pricing

Model: Free
Category: MCP Servers
Rating: No reviews yet

Use cases

Data Exploration

Use natural language to explore and query a Neo4j database, getting information about the graph structure and data.

Knowledge Graph Management

Store and retrieve entities and relationships from a personal knowledge graph in a Neo4j instance, accessible across sessions and clients.

Cloud Service Management

Manage Neo4j Aura instances directly from an AI assistant chat, including creating, destroying, and scaling instances.

Pros & Cons

Pros

Enables natural language interaction with Neo4j databases
Supports multiple transport modes (STDIO, SSE, HTTP)
Allows for cloud deployment on platforms like AWS ECS Fargate and Azure Container
Includes various specialized servers for different use cases (Cypher queries, knowledge graph memory, Aura management, data modeling)

Cons

Not officially supported by the Neo4j product team
Requires APOC plugin for schema inspection in mcp-neo4j-cypher

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Q&A

Is the mcp-neo4j collection officially supported by Neo4j?

No, the tools are part of Neo4j Labs and are not officially supported by the Neo4j product team, though they are actively maintained and updated by the Neo4j Field GenAI team.

Asked by Hannah Goldberg · Dec 2, 2025

Do I need any extra plugins or components to use the mcp-neo4j-cypher server?

Yes, the mcp-neo4j-cypher server requires the APOC plugin to be installed in your Neo4j instance for schema inspection and safe query generation.

Asked by Sarai Cohen · Nov 14, 2025

Which transport modes can I use to connect my AI app to the mcp-neo4j servers?

mcp-neo4j supports STDIO, Server‑Sent Events (SSE), and HTTP transports, giving you flexibility to integrate with various deployment environments and client libraries.

Asked by Ines Zeković · Sep 25, 2025

How does the natural language to Cypher feature work in mcp-neo4j?

The mcp-neo4j-cypher server translates natural language input from your AI chat app into Cypher queries that run safely against a Neo4j database, allowing conversational data retrieval without manual query writing.

Asked by George Papadakis · Sep 13, 2025