claude mcp add neo4j-contrib-mcp-neo4j-data-modeling -- uvx mcp-neo4j-data-modeling
{
"mcpServers": {
"neo4j-contrib-mcp-neo4j-data-modeling": {
"command": "uvx",
"args": ["mcp-neo4j-data-modeling"]
}
}
}
{
"mcpServers": {
"neo4j-contrib-mcp-neo4j-data-modeling": {
"command": "uvx",
"args": ["mcp-neo4j-data-modeling"]
}
}
}
{
"mcpServers": {
"neo4j-contrib-mcp-neo4j-data-modeling": {
"command": "uvx",
"args": ["mcp-neo4j-data-modeling"]
}
}
}
About This MCP Server
The io.github.neo4j-contrib/mcp-neo4j-data-modeling tool is a simple server that enables the creation of graph data models using the Model Context Protocol and integrates with Neo4j. This server connects to Neo4j and allows developers to model their data as graphs, which is useful when building applications that rely on complex relationships between data entities. Developers would use this tool when they need to design and implement graph-based data models for their applications, particularly those that utilize Neo4j as their database.
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.
