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.
We read the source, 3 d ago · rules 995398eba69f
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"
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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.
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.
claude mcp add mcp-neo4j-data-modeling -- uvx mcp-neo4j-data-modeling
{
"mcpServers": {
"mcp-neo4j-data-modeling": {
"command": "uvx",
"args": [
"mcp-neo4j-data-modeling"
]
}
}
}
[mcp_servers.mcp-neo4j-data-modeling]
command = "uvx"
args = ["mcp-neo4j-data-modeling"]
{
"mcpServers": {
"mcp-neo4j-data-modeling": {
"command": "uvx",
"args": [
"mcp-neo4j-data-modeling"
]
}
}
}
{
"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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Answers built from our own checks of this server.