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 turns an LLM into a nutrition assistant with persistent, database-backed memory, enabling conversational food logging with structured confirmation, accurate macro tracking, and multi-user support.
An MCP server that lets you log meals through Claude (and soon ChatGPT) in plain language, using India's official food composition data (IFCT 2017) plus USDA, enabling accurate calorie and macro tracking for Indian dishes with household units and photo logging.
MCP server that reads local SQLite database populated by a Playwright scraper to provide daily summary, food log, weight history, and water log from LoseIt.