Food Tracker

Enables nutrition tracking via AI, allowing users to read food logs with macros, goals, and profile, log meals by text or photo, and access diary, subscription, diabetes, and wearable/glucose data.

Enables Claude to act as the memory and reasoning layer for nutrition tracking, letting users log meals from label photos or descriptions, save foods, recipes, meal-prep containers, and restaurant orders, record weigh-ins, and query targets, progress, and projections as tool calls. All writes are previewed with dry runs, checked for plausibility, and reversible.

Enables a chat assistant to log what you ate — text, voice notes, recipe portions, or label/plate photos — by resolving foods against the Bundeslebensmittelschlüssel, Open Food Facts, or Tandoor recipe nutrition and storing copy-on-write nutrient entries in a local SQLite log. It serves these tools over stateless streamable HTTP MCP, grouping entries into meals and summarizing days, weeks, and training/body-weight data when an OpenGym endpoint is configured.

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.