Overview

Connect your AI to Open Food Facts (3M+ global products), USDA FoodData Central (1M+ lab-tested foods), and FDA recall reports (2004–present) via no-key-required tools. Scan barcodes with get_product_by_barcode for complete nutrition per 100g, ingredients, and images; check allergens via get_product_allergens; or filter diets with search_foods_by_diet for vegan, gluten-free, or halal options. This server processes complex queries like compare_foods_nutrients for side-by-side profiles or search_food_recalls for Class I hazards by ingredient.

Key Capabilities

Use search_food_products and search_by_nutrient_criteria to find low-sugar dairy or high-protein cereals in Open Food Facts. Pull 50+ nutrients (vitamins, minerals, amino acids) from USDA via search_usda_foods and get_usda_food_details, then aggregate meals with get_meal_nutrition_summary using portion grams and daily targets. Evaluate quality with get_product_scores (Nutri-Score A–E, Eco-Score, NOVA group), discover alternatives via find_healthier_alternatives, and assess additives by E-number with get_food_additive_details including EFSA classifications.

Use Cases

Build barcode scanners that return nutrition facts, allergens, and recalls in one call for grocery apps. Generate personalized daily targets with calculate_daily_nutrition_targets (age, sex, activity, goal) and compare user meals against them using get_meal_nutrition_summary. Research processed foods by comparing Nutri-Scores across categories or flagging high-risk recalls for brands like peanut butter.

Who This Is For

Developers creating nutrition trackers, fitness apps, or e-commerce plugins needing instant barcode-to-nutrient pipelines. Dietitians and health coaches automating client meal analysis and alternative suggestions. Data analysts querying food safety trends or compliance datasets for reports and journalism.