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AI Engineer Neo4j Memory MCP Demo

@a-s-g93

Repository

Basic information

Category

Memory & Knowledge

Transports

stdio

Author

a-s-g93

About AI Engineer Neo4j Memory MCP Demo

A short demo of the Neo4j Memory MCP server.

#ai-engineer#neo4j#memory

AI Engineer Neo4j Memory MCP Demo config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "neo4j-memory-store": {
      "command": "uvx",
      "args": [
        "mcp-neo4j-memory@0.1.4"
      ],
      "env": {
        "NEO4J_URL": "bolt://localhost:7687",
        "NEO4J_USERNAME": "neo4j",
        "NEO4J_PASSWORD": "password",
        "NEO4J_DATABASE": "neo4j"
      }
    }
  }
}

AI Engineer Neo4j Memory MCP Demo tools

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Overview

What is AI Engineer Neo4j Memory MCP Demo?

A demo project that shows how to configure Claude Desktop with agentic memory using the Neo4j Memory MCP Server. It stores and retrieves conversational context in a Neo4j graph database, allowing memory to persist across sessions and be shared with other MCP-compatible clients.

How to use AI Engineer Neo4j Memory MCP Demo?

Install uv (Python package manager), create a Neo4j instance (Aura cloud or Desktop), then edit Claude Desktop’s MCP config file with the neo4j-memory-store server command, credentials, and the provided system prompt. After setup, start conversations in Claude Desktop – each interaction is automatically logged in Neo4j.

Key features of AI Engineer Neo4j Memory MCP Demo

  • Persistent memory across Claude Desktop conversations
  • Memory stored in a Neo4j graph database
  • System prompt for automatic memory retrieval and update
  • Compatible with other MCP clients (Cursor, Windsurf)
  • Uses uvx to run the official mcp-neo4j-memory package

Use cases of AI Engineer Neo4j Memory MCP Demo

  • Demonstrating how to give Claude Desktop a persistent memory
  • Experimenting with agentic memory patterns in AI assistants
  • Testing multi-client memory sharing with a shared Neo4j instance

Frequently asked questions

1

What dependencies are required?

You need `uv` (Python package manager), a running Neo4j database (Aura or Desktop), and Claude Desktop. The MCP server is installed via `uvx`.

2

How do I configure Claude Desktop?

Add the `neo4j-memory-store` entry to your MCP config file (Settings → Developer → Edit Config) with the command `uvx`, arguments `mcp-neo4j-memory@0.1.4`, and environment variables for your Neo4j credentials.

3

Where is memory data stored?

In the Neo4j database instance you configure (cloud Aura or local Desktop). The server creates entities, relations, and observations in that database.

4

Can other clients access the same memory?

Yes – if other MCP clients (like Cursor or Windsurf) are configured with the same Neo4j instance, they can read and write the same memory graph.

5

What transport does the server use?

The server uses standard MCP over stdio, launched via `uvx`. No network transport configuration is described; authentication is via Neo4j credentials in environment variables.

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