claude mcp add neo4j-contrib-mcp-neo4j-memory -- uvx mcp-neo4j-memory
{
"mcpServers": {
"neo4j-contrib-mcp-neo4j-memory": {
"command": "uvx",
"args": ["mcp-neo4j-memory"]
}
}
}
{
"mcpServers": {
"neo4j-contrib-mcp-neo4j-memory": {
"command": "uvx",
"args": ["mcp-neo4j-memory"]
}
}
}
{
"mcpServers": {
"neo4j-contrib-mcp-neo4j-memory": {
"command": "uvx",
"args": ["mcp-neo4j-memory"]
}
}
}
About This MCP Server
The io.github.neo4j-contrib/mcp-neo4j-memory server is a Model Context Protocol server that provides a memory-based knowledge graph for Neo4j, enabling developers to store and retrieve contextual information for AI coding assistants like Claude Code and Cursor. This server connects to Neo4j databases, allowing developers to leverage the power of graph databases in their AI-driven development workflows. Developers would reach for this tool when they need a lightweight, in-memory knowledge graph solution for their Neo4j-based projects.
MCP Neo4j Knowledge Graph Memory Server. 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-memory 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-memory server extends your AI assistant with developer tools capabilities. Once installed, your AI can use its tools automatically.
