Directory/mcp-neo4j-data-modeling

mcp-neo4j-data-modeling

A simple Neo4j MCP server for creating graph data models.

AI & MLpython

How to use

mcp-neo4j-data-modeling is an MCP server that lets your AI assistant call models, embeddings, or ML services as tools.

Best for chaining an assistant into other AI services and pipelines.
Works in any MCP-compatible client — Claude Desktop, Claude Code, Cursor, and others.
Add it once to your client config; its tools then appear to the assistant automatically.

Distributed as a PyPI package. Prerequisite: Python 3.10+ and uv — https://docs.astral.sh/uv/.

1
Install the prerequisite above if you don't have it.
2
Open your Claude Desktop config (create it if missing):
- macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
- Windows: %APPDATA%\Claude\claude_desktop_config.json

Add this under mcpServers (merge if the key already exists):

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

4
Save the file and fully quit, then reopen Claude Desktop.
5
Click the tools (🔌) icon — mcp-neo4j-data-modeling's tools should now be listed.

No capabilities documented for this server yet.

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