AI Engineer Neo4j Memory MCP Demo

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a-s-g93

关于 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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "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 工具

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概览

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

常见问题

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`.

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.

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.

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.

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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