RUN IN TERMINAL
claude mcp add neo4j-contrib-mcp-neo4j-data-modeling -- uvx mcp-neo4j-data-modeling
ADD TO claude_desktop_config.json
{
"mcpServers": {
"neo4j-contrib-mcp-neo4j-data-modeling": {
"command": "uvx",
"args": ["mcp-neo4j-data-modeling"]
}
}
}
ADD TO .vscode/mcp.json
{
"mcpServers": {
"neo4j-contrib-mcp-neo4j-data-modeling": {
"command": "uvx",
"args": ["mcp-neo4j-data-modeling"]
}
}
}
ADD TO .cursor/mcp.json
{
"mcpServers": {
"neo4j-contrib-mcp-neo4j-data-modeling": {
"command": "uvx",
"args": ["mcp-neo4j-data-modeling"]
}
}
}
About This MCP Server
A simple Neo4j MCP server for creating graph data models.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with developer tools capabilities via the stdio transport.
Package
mcp-neo4j-data-modeling on pypi
HOW TO USE
Select your AI client above to get the install command. This MCP server uses the stdio transport and is available on pypi.
What tools does it provide?
The mcp-neo4j-data-modeling server extends your AI assistant with developer tools capabilities. Once installed, your AI can use its tools automatically.
