mcp server
grocery
Signed US food & grocery data: Kroger prices, nutrition, allergens, recalls, diet filters.
Description as published by the maintainer. Source
- version 2.0.0
- archived
- memory and context
archived — The owner archived the repository. It will not receive fixes. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.
What this server can do
18 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
food_commodity_prices(weeks, market, category, commodity)- Get commodity prices for agricultural products — produce, meat, dairy, grains. Source: USDA AMS Market News (100 years of free data) + BLS retail prices.
food_compare(nutrients, product_ids)- 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. Required: product_ids.
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_diet_filter(limit, max_fat, sort_by, category, in_stock, max_carbs, max_price, snap_only, max_sodium, min_protein, max_calories, organic_only, allergen_free)- 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(limit, members, category, max_price)- 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. Required: members.
food_ingredients_lookup(limit, query, allergen)- 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. Required: query.
food_kroger_product(upc, limit, query, kroger_id)- 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_meal_recommend(diet, brand, limit, agent_id, max_sodium, min_protein, max_calories, profile_hash, ready_to_eat, exclude_allergens)- 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.
food_new_products(days, limit, source)- 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_nutrition(upc, kroger_id, product_id)- 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_price_compare(product)- 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. Required: product.
food_profile(profile_hash)- 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. Required: profile_hash.
food_recall_check(months, product)- Check if a specific food product or brand has any active or recent recalls. Critical for food safety awareness. Required: product.
food_recall_search(year, limit, query, state, classification)- Search FDA food recalls by product, company, reason, or date range. Covers all US food recalls from 2004-present. Source: openFDA (public domain).
food_receipt_lookup(upcs)- 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. Required: upcs.
food_retail_prices(item, months)- Get average retail prices for common grocery items from BLS CPI data. ~70 food items tracked monthly. Shows price trends over time.
food_search(brand, limit, query, source, category)- 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). Required: query.
food_supply_chain(product_id, product_name)- 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.
Last successful function declaration observed on . Source: https://food.rootz.global/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://food.rootz.global/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 0 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-07-24 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 2.0.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-07-30 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-07-30 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | archived | The owner archived this repository on GitHub. It is read-only and will not receive fixes. | as of fetch | GitHub | |
| mcp tools declared | 18 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | food.rootz.global | |
| mcp endpoint status | ok | The server listed 18 functions when asked. | as of probe | food.rootz.global |
Where to get it
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This record as data
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