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MemoCat — Shared AI Memory

MCP server · by MontyGovernance

Knowledge & Memory PythonDocker v0.4.3

One shared, persistent memory across AI agents and systems, with semantic recall and live updates.

View source ↗ More servers

Install

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

Pythonuvx memocat-mcp
Dockerdocker run -i --rm docker.io/montygovernance/memocat-mcp:0.4.3

Client configuration

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

mcpServers{
  "mcpServers": {
    "memocat-mcp": {
      "command": "uvx",
      "args": [
        "memocat-mcp"
      ]
    }
  }
}

About this server

MemoCat — Shared AI Memory is listed in the Knowledge & Memory category of the MCPNav directory. It is distributed as Python, Docker 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 MemoCat — Shared AI Memory MCP server?

MemoCat — Shared AI Memory is an MCP server by MontyGovernance. One shared, persistent memory across AI agents and systems, with semantic recall and live updates.

How do I install MemoCat — Shared AI Memory?

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

Is MemoCat — Shared AI Memory free to use?

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

Which clients support MemoCat — Shared AI Memory?

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