Enables users to track daily calorie consumption by logging meals through natural language and searching a comprehensive food database. It provides daily summaries, weekly reports, and persistent SQLite storage to monitor dietary trends and goals.
Enables tracking food intake and nutrition using the USDA FoodData Central database. Supports logging meals, setting daily nutrition goals, viewing food diaries, and analyzing nutrition trends over time with local SQLite storage.
MCP server for personal nutrition tracking, enabling users to log meals with calories and macros, water intake, body weight, set goals, and import food diaries from other apps through natural language.
Provides access to a comprehensive food database with 300,000+ items, enabling nutritional data lookups, food searches, and barcode scanning with all processing happening locally for privacy and speed.
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.
Enables intelligent nutrition tracking through natural language meal logging with automatic macro calculation using the FoodData Central API. Users can set daily macro goals, review meal history, and monitor nutritional progress through local JSON storage.
