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Neo4j Data Modeling MCP server

by neo4j-contrib·io.github.neo4j-contrib/mcp-neo4j-data-modeling·v1.0.0·986 stars
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A simple Neo4j MCP server for creating graph data models.

A94/100grade A
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Neo4j Data Modeling tools (13)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • export_to_arrows_json
  • export_to_owl_turtle

    Export a data model to an OWL Turtle string. This process is lossy since OWL does not support properties on relationships. Returns a string representation of the data model in OWL Turtle format.

  • get_constraints_cypher_queries
  • get_example_data_model

    Get an example graph data model from the available templates. Returns a DataModel object and the Mermaid visualization configuration for the example graph data model.

  • get_mermaid_config_str
  • get_node_cypher_ingest_query

    Get the Cypher query to ingest a list of Node records into a Neo4j database. This should be used to ingest data into a Neo4j database. This is a parameterized Cypher query that takes a list of records as input to the $records parameter.

  • get_relationship_cypher_ingest_query

    Get the Cypher query to ingest a list of Relationship records into a Neo4j database. This should be used to ingest data into a Neo4j database. This is a parameterized Cypher query that takes a list of records as input to the $records parameter. The records must contain the Relationship properties, if any, as well as the sourceId and targetId properties of the start and end nodes respectively.

  • list_example_data_models

    List all available example data models with descriptions. Returns a dictionary with example names and their descriptions.

  • load_from_arrows_json
  • load_from_owl_turtle

    Load a data model from an OWL Turtle string. This process is lossy and some components of the ontology may be lost in the data model schema. Returns a DataModel object.

  • validate_data_model
  • validate_node
  • validate_relationship

Public scan report

scanner v0.1.10 · 2026-10-01 · same rubric, same numbers if you re-run it

no findings
  • Code scan9 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 qualitylocal package, no credentials required12/15
  • Maintenancelast push 22 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
Overall 94/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

Install Neo4j Data Modeling in Claude Code, Cursor or VS Code

claude mcp add mcp-neo4j-data-modeling -- uvx mcp-neo4j-data-modeling
Add to Cursor

What the publisher says

From the Neo4j Data Modeling 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-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 →

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Neo4j Data Modeling: common questions

Is Neo4j Data Modeling MCP server safe?
Yes, by our scan: it is graded A (94/100). Read the Neo4j Data Modeling safety report
How do I install Neo4j Data Modeling?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Neo4j Data Modeling need an API key?
No secret keys are declared. It reads 1 setting from the environment.
Is Neo4j Data Modeling maintained?
The last commit was 34 days ago (2026-09-09). The latest release is v1.0.0.

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