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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. 1 308 installs a week from pypi. Last commit 9 Sep 2026.

A simple Neo4j MCP server for creating graph data models.

Installs per day peak 360 · avg 71 · +459% w/w
a month agotoday
1 308
Installs / week
pypi · mcp-neo4j-data-modeling
984
Stars
16 open issues
9 Sep 2026
Last commit
0 releases in 90 days
MIT
License
Python

What the code does

We read the source, 19 h ago · rules 3dff92dd89df

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

File ships in the package but is absent from the source [пакет] src/mcp_neo4j_data_modeling/__init__.py:1, [пакет] src/mcp_neo4j_data_modeling/data_model.py:1, [пакет] src/mcp_neo4j_data_modeling/models.py:1 и ещё 3
этот файл ставится пользователю, но в репозитории его нет
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.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

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": {
      "args": [
        "mcp-neo4j-data-modeling"
      ],
      "command": "uvx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.mcp-neo4j-data-modeling]
command = "uvx"
args = ["mcp-neo4j-data-modeling"]
.cursor/mcp.json
{
  "mcpServers": {
    "mcp-neo4j-data-modeling": {
      "args": [
        "mcp-neo4j-data-modeling"
      ],
      "command": "uvx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "mcp-neo4j-data-modeling": {
      "args": [
        "mcp-neo4j-data-modeling"
      ],
      "command": "uvx"
    }
  }
}

This one needs environment variables set before it will start: NEO4J_NAMESPACE (The namespace to use for the MCP server tool names.). The author declared them in the registry entry; get the values from the project itself.

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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 1 308 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 with the file path 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 1 308 times in the last week. Week over week that is +459%. 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, 984 stars on GitHub and 16 open issues. The source link is on this page, so you can read exactly what it does with your data before you connect it.