usda-api

Python MCP server for USDA nutrition data with meal planning system prompts. Get accurate macros, calories, and ingredients for any food item directly in Claude Desktop. Includes automated meal planner for diet-specific recipes.

USDA FDC API for high-fidelity data ingestion and Supabase for temporal storage, utilizing GitHub Actions to orchestrate bi-weekly variance analysis and automated garbage collection.

AI-powered recipe generator that creates personalized healthy meals from your available ingredients with complete nutritional analysis. Built with Streamlit, Groq AI, and USDA data.

A convenient tool to plan your daily meals and calculate your daily macros using natural language and USDA API.

An AI-powered hybrid meal recommendation engine designed to provide safe, personalized, and gluten-aware recipes. This system combines deterministic rule-based auditing with dynamic API verification and generative AI analysis to ensure celiac-safe meal planning.

Full-stack nutrition tracking system built with Django, integrating USDA FoodData API for calorie tracking

Flask nutrition and calorie tracker

High-performance, production-ready FastAPI backend for Caliper running on Python 3.13. Implements strict Pydantic v2 data validation, secure Supabase JWT auth verification layers, and a dual-strategy food search engine combining Open Food Facts and the USDA database.