Best for
- Neo4j users who want to design and validate graph models before committing them
- Developers doing graph data modeling from MCP-compatible clients
A Neo4j Labs graph data modeling MCP server suited to designing and validating models before committing them, but experimental with no official product support or compatibility guarantees.
This server is one of four MCP servers in the neo4j-contrib/mcp-neo4j repository, developed by the Neo4j Field GenAI team as part of the Neo4j Labs program and not supported by the Neo4j product team. It provides interactive graph data modeling and visualization: create, validate, and visualize Neo4j graph data models, with model import/export from Arrows.app. It runs as the PyPI package mcp-neo4j-data-modeling (version 0.8.2) over stdio transport, with an optional NEO4J_NAMESPACE environment variable for tool-name namespacing.
Install mcp-neo4j-data-modeling (version 0.8.2) from PyPI and configure it in an MCP-compatible client using stdio transport. Optionally set NEO4J_NAMESPACE to control tool-name namespacing.