A filesystem-based MCP server that turns any MCP-capable AI agent into a conversational calorie and protein tracker with natural-language estimates, confidence-aware logging, daily/weekly progress, food-history search, and export, working offline with local fallback data.
An MCP server that lets restaurants operate their point-of-sale through an LLM agent — edit menus, 86 items, check sales, restock inventory, monitor voids, and more via twenty tools over both stdio and Streamable HTTP transports with per-request tenancy from API keys.
A local, JSON-first calorie and protein tracker for agents and shell workflows, providing a CLI and MCP server for meal tracking, goal management, and summaries with SQLite storage.