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mcp-neo4j-data-modeling

local MCP server

mcp-neo4j-data-modeling is a local MCP server: A simple Neo4j MCP server for creating graph data models. Install it from pypi as mcp-neo4j-data-modeling.

Installation

Terminal

claude mcp add mcp-neo4j-data-modeling -e NEO4J_NAMESPACE=... -- uvx mcp-neo4j-data-modeling

Run in your project folder. Add --scope user to use it everywhere.

Claude Desktop, Cursor & other clients

Add to claude_desktop_config.json or .cursor/mcp.json.

{
  "mcpServers": {
    "mcp-neo4j-data-modeling": {
      "command": "uvx",
      "args": [
        "mcp-neo4j-data-modeling"
      ],
      "env": {
        "NEO4J_NAMESPACE": "..."
      }
    }
  }
}

Fill in the environment variables with your own credentials.

What you need

  • Runtime: Python with uv (runs with uvx).
  • MCP client: Claude Code, Codex, Antigravity, Claude Desktop, Cursor or any other client that speaks MCP over stdio.
  • Environment variables: NEO4J_NAMESPACE

Summary

A simple Neo4j MCP server for creating graph data models.

mcp-neo4j-data-modeling vs similar servers

ServerStarsTypeAPI keyRuntime
mcp-neo4j-data-modeling985LocalYespypi
mcp-neo4j-cypher985LocalYespypi
mcp-neo4j-memory985LocalYespypi
DBHub3,574LocalYesnpm
Power BI Authoring MCP Server (Local)1,180LocalNonpm

Questions

It reads one environment variable: NEO4J_NAMESPACE. Set them in your MCP config before starting the server.

Python with uv (runs with uvx), plus an MCP client such as Claude Code, Codex, Claude Desktop or Cursor.

mcp-neo4j-data-modeling is a local MCP server distributed as the pypi package mcp-neo4j-data-modeling.

Run: claude mcp add mcp-neo4j-data-modeling -e NEO4J_NAMESPACE=... -- uvx mcp-neo4j-data-modeling

Run: codex mcp add mcp-neo4j-data-modeling --env NEO4J_NAMESPACE=... -- uvx mcp-neo4j-data-modeling

Similar MCP servers

NameStars
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  2. mcp-neo4j-memoryio.github.neo4j-contrib/mcp-neo4j-memory985
  3. DBHubio.github.bytebase/dbhub3,574
  4. Power BI Authoring MCP Server (Local)com.microsoft/powerbi-modeling-mcp1,180
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