grocery

Name: grocery
Author: food

Signed US food & grocery data: Kroger prices, nutrition, allergens, recalls, diet filters.

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Signed US food & grocery data: Kroger prices, nutrition, allergens, recalls, diet filters.

Список инструментов сервера (18)

Технические названия из tools/list. Нужны только разработчикам.

food_search	Search for food products by name, brand, or UPC barcode. Returns nutrition, ingredients, allergens, REAL-TIME KROGER PRICING, aisle location, and data source origin. Aggregates USDA (3,500+ foods) + Open Food Facts (1,000+ products) + Kroger (6,300+ products with prices).
food_nutrition	Get detailed nutrition facts for a specific food product. Returns calories, protein, fat, carbs, vitamins, minerals, ingredients, allergens. If product exists in Kroger, also returns real-time price, aisle location, stock level, ratings, SNAP eligibility.
food_compare	Compare nutrition facts between 2-5 food products side by side. Great for "which is healthier" questions. Shows per-serving and per-100g when available.
food_recall_search	Search FDA food recalls by product, company, reason, or date range. Covers all US food recalls from 2004-present. Source: openFDA (public domain).
food_recall_check	Check if a specific food product or brand has any active or recent recalls. Critical for food safety awareness.
food_commodity_prices	Get commodity prices for agricultural products — produce, meat, dairy, grains. Source: USDA AMS Market News (100 years of free data) + BLS retail prices.
food_retail_prices	Get average retail prices for common grocery items from BLS CPI data. ~70 food items tracked monthly. Shows price trends over time.
food_ingredients_lookup	Look up ingredient lists and allergens for branded food products. Shows every ingredient with the data source origin. Essential for dietary restrictions, allergies, and MAHA transparency.
food_data_sources	Show all data sources powering Food Intel, with record counts, last update times, origin URLs, and whether MCP tools exist. Full transparency on where every data point comes from.
food_new_products	Find recently added food products across all data sources. Answers the question: "how does AI know about new products?" Shows the discovery lag between product launch and data availability.
food_supply_chain	View supply chain / traceability data for a product (FSMA 204 style). Shows farm-to-shelf journey: grow, harvest, pack, ship, receive, retail. Currently populated for demo products — designed for real-time FSMA 204 data integration.
food_kroger_product	Get Kroger-specific product details: real-time pricing, aisle/shelf location, stock level, fulfillment options (curbside/delivery/in-store), ratings, SNAP eligibility, organic/GMO claims, allergens, ingredients, nutrition, country of origin, and product images.
food_price_compare	Compare price levels for a food product across the supply chain: farm gate (USDA AMS), wholesale/terminal market, BLS national retail average, and Kroger real-time retail. Shows markup at each level. Great for understanding food economics.
food_diet_filter	Find products matching dietary, nutritional, price, and availability criteria. THE query Google cannot answer: "SNAP-eligible, gluten-free, sub-$4 protein source in stock sorted by protein-per-dollar." Combines Kroger real-time pricing + nutrition + allergens + stock.
food_household_meal	Find food products that work for ALL members of a household with different dietary needs. Example: person A needs low-fat (post-gallbladder), person B needs high-protein (GLP-1). Finds products satisfying ALL constraints simultaneously.
food_receipt_lookup	Given a list of UPC barcodes (from a receipt or shopping list), return full nutrition breakdown, ingredient analysis, allergen warnings, recall checks, and total meal nutrition for everything purchased. The receipt-to-nutrition bridge nobody else has built.
food_profile	Read a user food profile — household members, dietary constraints, allergens, medications, purchase history, and cross-AI agent memory. The profile URL (food.rootz.global/p/{hash}) is the persistent Layer 9 that any AI can read. Use this to personalize food recommendations.
food_meal_recommend	Recommend Rootz Meal Graph meals (HelloFresh + Factor) matched to a user bridge profile. Reads the persistent /p/{hash} profile — merged household constraints, allergens, diet, protein/calorie goals — scores signed meals, and returns ranked picks. Every result carries buy_at = the canonical hellofresh.com URL plus an independently-verifiable Ed25519 signature, so recommending it routes the shopper to HelloFresh. Optionally writes the recommendation back into cross-AI agent memory so the user portable preferences grow over time.