MemoCat — Shared AI Memory MCP Server

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

Local serverstdio

What is the MemoCat — Shared AI Memory MCP Server?

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

Packages and local setup

The published pypi package is memocat-mcp, version 0.4.3. Its declared MCP transport is stdio.

The package declares MONTYCAT_URI: Optional Montycat engine URI: montycat://user:password@host:port/store; MONTYCAT_TLS: Set to true when connecting to a TLS-enabled remote Montycat engine.

The published oci package is docker.io/montygovernance/memocat-mcp:0.4.3. Its declared MCP transport is stdio.

Before connecting

Check the maintainer’s instructions for account access, authentication and the supported client configuration. Once connected, inspect the tools your client receives and try a small task that matches the server’s stated purpose. The registry description does not include a verified, complete tool list.

Project and source

View the publisher’s registry entry · Project repository. This profile uses version 0.4.3 from the registry. Registration identifies the publisher namespace; it does not establish that this is a first-party integration for every service it connects.

Browse related knowledge & memory MCP servers for tools that cover the same kind of work.

Configuration

VariableDescriptionRequired
MONTYCAT_URIOptional Montycat engine URI: montycat://user:password@host:port/storeOptional
MONTYCAT_TLSSet to true when connecting to a TLS-enabled remote Montycat engineOptional