Montycat MCP - Shared Memory for AI Agents MCP Server

Montycat MCP - Shared Memory for AI Agents is an MCP integration. Shared, persistent memory for AI agents, with semantic recall and live updates.

Packages and local setup

The published pypi package is montycat-mcp, version 1.1.6. 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; MONTYCAT_TLS_CERTIFICATE_PATH: Optional PEM certificate path for exact TLS certificate pinning; MONTYCAT_TLS_VERIFY: Set to true to verify TLS with the platform trust store; MONTYCAT_TLS_CERTIFICATE_FINGERPRINT: Optional SHA-256 TLS certificate fingerprint.

The published oci package is docker.io/montygovernance/montycat-mcp:1.1.6. 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 1.1.6 from the registry. Registration identifies the publisher namespace; it does not establish that this is a first-party integration for every service it connects.

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