N

N3MemoryCore Lite (Working Memory)

MCP server · by NeuralNexusNote

Knowledge & Memory Python v1.6.2

Ephemeral 7-day hybrid vector+BM25 working memory, multilingual, backed by Redis Stack.

View source ↗ More servers

Install

Run one of the commands below, then add the client config underneath.

Pythonuvx n3memorycore-mcp-lite

Client configuration

Paste into Claude Desktop, Cursor (mcp.json), VS Code or any MCP client, then restart the client.

mcpServers{
  "mcpServers": {
    "n3mc-workingmemory": {
      "command": "uvx",
      "args": [
        "n3memorycore-mcp-lite"
      ]
    }
  }
}

About this server

N3MemoryCore Lite (Working Memory) is listed in the Knowledge & Memory category of the MCPNav directory. It is distributed as Python and can be loaded by any client that speaks the Model Context Protocol.

Typical uses include giving your assistant scoped access to the corresponding service so it can answer questions and take actions with real data instead of guessing. Always review what a server can access before you enable it — see our MCP security guide.

Frequently asked questions

What is the N3MemoryCore Lite (Working Memory) MCP server?

N3MemoryCore Lite (Working Memory) is an MCP server by NeuralNexusNote. Ephemeral 7-day hybrid vector+BM25 working memory, multilingual, backed by Redis Stack.

How do I install N3MemoryCore Lite (Working Memory)?

Install it with: uvx n3memorycore-mcp-lite. Then add the JSON config to your client's MCP settings and restart the client.

Is N3MemoryCore Lite (Working Memory) free to use?

The MCP server itself is free to install. The source is public on https://github.com/NeuralNexusNote/n3mcmcp-lite. Any third-party API it calls (such as a search or maps API) may require its own key and billing.

Which clients support N3MemoryCore Lite (Working Memory)?

Any MCP-compatible client can use it, including Claude Desktop, Cursor, VS Code, Windsurf and custom agents.