Nutrition Food MCP
Provides MCP access to search Open Food Facts (3M+ products), USDA FoodData Central, and FDA food recalls. Delivers health scoring, meal planning, nutrient comparison, and personalized daily calorie targets based on user data. Developers building fitness apps, nutrition trackers, or health platforms use it to integrate reliable food databases into applications.
Overview
This MCP server enables programmatic queries to major nutrition databases: Open Food Facts (over 3 million products), USDA FoodData Central, and FDA food recalls. It processes data for health scoring, meal planning suggestions, nutrient comparisons across foods, and personalized daily calorie recommendations using user inputs like age, weight, and activity level.
Key Capabilities
- search_open_food_facts: Retrieves detailed nutrition info for 3M+ global products by name, barcode, or category.
- search_usda_fooddata_central: Queries USDA database for nutrient breakdowns, serving sizes, and food composition data.
- search_fda_recalls: Fetches active and historical FDA food recall notices with affected products and reasons.
- health_scoring: Computes Nutri-Score or similar health ratings based on nutrient profiles.
- meal_planning: Generates balanced meal plans meeting macro and micro-nutrient goals.
- nutrient_comparison: Compares nutritional values between foods or recipes side-by-side.
- personalized_calorie_targets: Calculates daily calorie needs using Harris-Benedict or Mifflin-St Jeor formulas adjusted for user profile.
Use Cases
- Fitness app developers query search_open_food_facts and personalized_calorie_targets to log user meals and track against daily goals.
- Nutritionists use nutrient_comparison and health_scoring to advise clients on food swaps for better diets.
- Recipe apps integrate search_usda_fooddata_central and meal_planning to suggest recipes matching dietary restrictions.
- Public health tools monitor safety via search_fda_recalls to alert users about contaminated products.
Who This Is For
Developers creating health, fitness, or diet apps; data analysts processing food datasets; healthcare providers needing API-driven nutrition insights; food industry researchers comparing product nutrition.