A production-grade Model Context Protocol (MCP) server, it provides a robust bridge between Large Language Models (LLMs) and a persistent SQLite backend. This server enables AI assistants to help users maintain consistency and analyze productivity patterns by tracking personal habits and todos with flexible frequencies, priorities, and due dates. It implements all three MCP primitives: Tools, Resources, and Prompts, with a safety-first design that restricts mutations to high-level tools while offering deep data introspection via live schema resources and an AI-powered SQL assistant.
