Grocery

Last 30 days

Uptime

100%

Response time

457 ms typical, 1.0 s slowest 5%

Last check

53 min ago

Next check

in 5 h

How to call it

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "grocery": {
      "type": "http",
      "url": "https://food.rootz.global/mcp"
    }
  }
}

18 tools

• 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 = th

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