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MCP Neo4j Data Modeling MCP Server

local only

MCP Neo4j Data Modeling runs on your own machine — the client starts it, so there is no endpoint to ping. 221 installs a week from pypi. Last commit 9 Sep 2026.

A simple Neo4j MCP server for creating graph data models.

Installs per day peak 81 · avg 38 · -26% w/w
a month agotoday
221
Installs / week
pypi · mcp-neo4j-data-modeling
989
Stars
17 open issues
9 Sep 2026
Last commit
from GitHub
MIT
License
Python

What the code does

We read the source, 3 d ago · rules 995398eba69f

In the project's build, not in the package

Found in continuous integration, deployment or infrastructure files, or in a neighbouring package of the same monorepo. None of this is installed when you add the server: it describes how the project is built and released. We list it because a leaked key in a build pipeline is still a real problem, but it is not something this server does on your machine.

ENV NEO4J_AURA_CLIENT_SECRET="test-client-secret"

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

Nothing serious here today

Today is the operative word: we check MCP Neo4j Data Modeling every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add mcp-neo4j-data-modeling -- uvx mcp-neo4j-data-modeling
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mcp-neo4j-data-modeling": {
      "command": "uvx",
      "args": [
        "mcp-neo4j-data-modeling"
      ]
    }
  }
}
~/.codex/config.toml
[mcp_servers.mcp-neo4j-data-modeling]
command = "uvx"
args = ["mcp-neo4j-data-modeling"]
.cursor/mcp.json
{
  "mcpServers": {
    "mcp-neo4j-data-modeling": {
      "command": "uvx",
      "args": [
        "mcp-neo4j-data-modeling"
      ]
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "mcp-neo4j-data-modeling": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mcp-neo4j-data-modeling"
      ]
    }
  }
}

Optional settings from the registry entry, left out of the block above: NEO4J_NAMESPACE (The namespace to use for the MCP server tool names).

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MCP Neo4j Data Modeling — questions

Answers built from our own checks of this server.

Why is there no uptime for MCP Neo4j Data Modeling?
MCP Neo4j Data Modeling runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package mcp-neo4j-data-modeling was installed 221 times last week.
How do I connect MCP Neo4j Data Modeling?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls mcp-neo4j-data-modeling straight from pypi; nothing to host, nothing to sign up for.
How many people use MCP Neo4j Data Modeling?
The pypi package mcp-neo4j-data-modeling was installed 221 times in the last week. Week over week that is -26%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is MCP Neo4j Data Modeling open source?
Yes — it is published under the MIT licence, written in Python, 989 stars on GitHub and 17 open issues. The source link is on this page, so you can read exactly what it does with your data before you connect it.