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.
Enables MCP-compatible clients like ChatGPT and Claude to manage a household's shared food inventory, meal plans, recipes, and preferences through natural language, with atomic updates and audit logging.
Enables a single user to connect ChatGPT or another MCP client to a personal FatSecret diary and Obsidian Markdown notes, supporting food search, meal draft preview and confirmed commit, undo, day status, and daily note sync.
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.
Enables AI assistants to read current pantry inventory and low-stock shopping needs, export a shopping queue, and perform idempotent inventory adjustments and catalog link management through remote MCP tools.