Combien d'outils expose global.rootz.food/grocery ?

global.rootz.food/grocery expose 18 outil(s). Le coût de contexte pour les charger tous est d'environ 3005 tokens (coût unique au chargement, pas par appel).

accueil / serveurs / IA & Mémoire / global.rootz.food/grocery

global.rootz.food/grocery

serveur MCP (Model Context Protocol) · food-intel 2.0.0

▸ IA & Mémoire

[ Non encore testé ]

Verdict MCP Hub
Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur.

streamable-httpType / transport

directAccès

~3005 tokensCoût de contexte

18Outils

Est-ce que global.rootz.food/grocery est sûr ?

Au dernier audit MCP Hub, le serveur MCP « global.rootz.food/grocery » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.

Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.

Les 18 outils

food_commodity_prices≈ 172 tokens
Get commodity prices for agricultural products — produce, meat, dairy, grains. Source: USDA AMS Market News (100 years of free data) + BLS retail prices.
Paramètres, retour & exemple (4)
Paramètres
- weeks · number · optionnel
  Number of recent data points
- market · string · optionnel · retail | farm_gate | terminal | national | all
- category · string · optionnel · produce | meat | dairy | grain | all
- commodity · string · optionnel
  Commodity name: lettuce, ground_beef, whole_milk, eggs, wheat, corn, etc.
Exemple d'appel
```
{"name": "food_commodity_prices", "arguments": {"weeks": 1, "market": "retail", "category": "produce", "commodity": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}]}
```
food_compare≈ 129 tokens
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.
Paramètres, retour & exemple (2)
Paramètres
- nutrients · array · optionnel
  Specific nutrients to compare (default: all major)
- product_ids · array · requis
  Product IDs to compare (2-5)
Exemple d'appel
```
{"name": "food_compare", "arguments": {"product_ids": []}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}]}
```
food_data_sources≈ 70 tokens
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.
Paramètres, retour & exemple (0)
Exemple d'appel
```
{"name": "food_data_sources", "arguments": {}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}]}
```
food_diet_filter≈ 407 tokens
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.
Paramètres, retour & exemple (13)
Paramètres
- limit · number · optionnel
- max_fat · number · optionnel
  Maximum total fat grams (great for post-gallbladder)
- sort_by · string · optionnel · price | protein | calories | protein_per_dollar | rating
- category · string · optionnel
  Product category filter (Produce, Dairy, Meat & Seafood, etc.)
- in_stock · boolean · optionnel
  Only products currently in stock
- max_carbs · number · optionnel
  Maximum carbs grams (great for keto/GLP-1)
- max_price · number · optionnel
  Maximum price in dollars
- snap_only · boolean · optionnel
  Only SNAP-eligible products
- max_sodium · number · optionnel
  Maximum sodium mg
- min_protein · number · optionnel
  Minimum protein grams per serving
- max_calories · number · optionnel
  Maximum calories per serving
- organic_only · boolean · optionnel
  Only certified organic products
- allergen_free · array · optionnel
  Allergens to exclude: gluten, dairy, nuts, soy, eggs, shellfish, wheat, peanuts
Exemple d'appel
```
{"name": "food_diet_filter", "arguments": {"limit": 1, "max_fat": 1, "sort_by": "price", "category": "texte", "in_stock": true, "max_carbs": 1}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}]}
```
food_household_meal≈ 248 tokens
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.
Paramètres, retour & exemple (4)
Paramètres
- limit · number · optionnel
- members · array · requis
  Household members with individual dietary constraints
- category · string · optionnel
  Product category filter
- max_price · number · optionnel
  Maximum price per item
Exemple d'appel
```
{"name": "food_household_meal", "arguments": {"members": []}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}]}
```
food_ingredients_lookup≈ 144 tokens
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.
Paramètres, retour & exemple (3)
Paramètres
- limit · number · optionnel
- query · string · requis
  Product name or brand to look up ingredients for
- allergen · string · optionnel
  Filter for specific allergen: gluten, dairy, nuts, soy, eggs, shellfish
Exemple d'appel
```
{"name": "food_ingredients_lookup", "arguments": {"query": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}]}
```
food_kroger_product≈ 155 tokens
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.
Paramètres, retour & exemple (4)
Paramètres
- upc · string · optionnel
  UPC barcode to look up
- limit · number · optionnel
- query · string · optionnel
  Search Kroger products by name
- kroger_id · string · optionnel
  Kroger product ID
Exemple d'appel
```
{"name": "food_kroger_product", "arguments": {"upc": "texte", "limit": 1, "query": "texte", "kroger_id": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}]}
```
food_meal_recommend≈ 422 tokens
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.
Paramètres, retour & exemple (10)
Paramètres
- diet · string · optionnel
  Override diet: any | high-protein | keto | pescatarian | vegetarian | vegan
- brand · string · optionnel
  Filter to a brand: HelloFresh | Factor
- limit · number · optionnel
  Max recommendations
- agent_id · string · optionnel
  Your agent id (claude/gpt/grok/gemini). With profile_hash, the recommendation is written into portable agent memory.
- max_sodium · number · optionnel
  Maximum sodium mg
- min_protein · number · optionnel
  Minimum protein grams
- max_calories · number · optionnel
  Maximum calories
- profile_hash · string · optionnel
  Bridge profile hash from /p/{hash}. If given, constraints are read from the user profile.
- ready_to_eat · boolean · optionnel
  Only ready-to-eat (Factor) meals — no cooking
- exclude_allergens · array · optionnel
  Allergens to avoid, e.g. ["dairy","shellfish"]
Exemple d'appel
```
{"name": "food_meal_recommend", "arguments": {"diet": "texte", "brand": "texte", "limit": 1, "agent_id": "texte", "max_sodium": 1, "min_protein": 1}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}]}
```
food_new_products≈ 128 tokens
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.
Paramètres, retour & exemple (3)
Paramètres
- days · number · optionnel
  Look back period in days
- limit · number · optionnel
- source · string · optionnel · usda | openfoodfacts | all
Exemple d'appel
```
{"name": "food_new_products", "arguments": {"days": 1, "limit": 1, "source": "usda"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}]}
```
food_nutrition≈ 157 tokens
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.
Paramètres, retour & exemple (3)
Paramètres
- upc · string · optionnel
  UPC/barcode to look up directly
- kroger_id · string · optionnel
  Kroger product ID for direct Kroger lookup
- product_id · number · optionnel
  Product ID from food_search results (products table)
Exemple d'appel
```
{"name": "food_nutrition", "arguments": {"upc": "texte", "kroger_id": "texte", "product_id": 1}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}]}
```
food_price_compare≈ 120 tokens
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.
Paramètres, retour & exemple (1)
Paramètres
- product · string · requis
  Product name: eggs, ground beef, lettuce, milk, chicken, bread, etc.
Exemple d'appel
```
{"name": "food_price_compare", "arguments": {"product": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}]}
```
food_profile≈ 125 tokens
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.
Paramètres, retour & exemple (1)
Paramètres
- profile_hash · string · requis
  Profile hash from the URL (e.g., "8f3k9x2p")
Exemple d'appel
```
{"name": "food_profile", "arguments": {"profile_hash": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}]}
```
food_recall_check≈ 104 tokens
Check if a specific food product or brand has any active or recent recalls. Critical for food safety awareness.
Paramètres, retour & exemple (2)
Paramètres
- months · number · optionnel
  Look back period in months (default 12)
- product · string · requis
  Product name or brand to check
Exemple d'appel
```
{"name": "food_recall_check", "arguments": {"product": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}]}
```
food_recall_search≈ 189 tokens
Search FDA food recalls by product, company, reason, or date range. Covers all US food recalls from 2004-present. Source: openFDA (public domain).
Paramètres, retour & exemple (5)
Paramètres
- year · number · optionnel
  Filter by year
- limit · number · optionnel
- query · string · optionnel
  Search product descriptions, company names, or recall reasons
- state · string · optionnel
  2-letter state code to filter by recalling firm location
- classification · string · optionnel · Class I | Class II | Class III
  Class I = dangerous/death, Class II = temporary health problems, Class III = unlikely harm
Exemple d'appel
```
{"name": "food_recall_search", "arguments": {"year": 1, "limit": 1, "query": "texte", "state": "texte", "classification": "Class I"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}]}
```
food_receipt_lookup≈ 122 tokens
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.
Paramètres, retour & exemple (1)
Paramètres
- upcs · array · requis
  List of UPC barcodes from a receipt
Exemple d'appel
```
{"name": "food_receipt_lookup", "arguments": {"upcs": []}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}]}
```
food_retail_prices≈ 108 tokens
Get average retail prices for common grocery items from BLS CPI data. ~70 food items tracked monthly. Shows price trends over time.
Paramètres, retour & exemple (2)
Paramètres
- item · string · optionnel
  Food item to look up: eggs, milk, bread, ground beef, chicken, etc.
- months · number · optionnel
  Number of recent months
Exemple d'appel
```
{"name": "food_retail_prices", "arguments": {"item": "texte", "months": 1}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}]}
```
food_search≈ 215 tokens
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).
Paramètres, retour & exemple (5)
Paramètres
- brand · string · optionnel
  Filter by brand name
- limit · number · optionnel
  Max results (default 20)
- query · string · requis
  Product name, brand, or UPC barcode to search for
- source · string · optionnel · usda | openfoodfacts | kroger | all
  Which data source to search
- category · string · optionnel
  Filter by food category
Exemple d'appel
```
{"name": "food_search", "arguments": {"query": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}]}
```
food_supply_chain≈ 121 tokens
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.
Paramètres, retour & exemple (2)
Paramètres
- product_id · number · optionnel
  Product ID to trace
- product_name · string · optionnel
  Or search by product name
Exemple d'appel
```
{"name": "food_supply_chain", "arguments": {"product_id": 1, "product_name": "texte"}}
```
Exemple de retour
```
{"content": [{"type": "text", "text": "…"}]}
```

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Source

https://food.rootz.global/mcp