Food Safety Supply Chain

Name: Food Safety Supply Chain
Author: apifyforge

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ウェブスクレイピングとデータ収集

データサイエンスとML

Provides AI assistants direct access to critical food safety data, including FDA recalls, adverse event reports, supplier hygiene ratings, and contamination pathways, to deliver comprehensive supply chain intelligence.

This Model Context Protocol (MCP) server delivers comprehensive food safety supply chain intelligence by empowering AI assistants with direct access to a wealth of real-time data. It orchestrates queries across seven public data sources simultaneously, including FDA recalls, adverse event reports, UK Food Hygiene ratings, Open Food Facts, UN COMTRADE trade statistics, OpenAQ air quality, and NOAA weather alerts. The collected data is then synthesized through four dedicated scoring models into a structured risk report, providing insights into ingredient risk, contamination pathways, supplier hygiene, and seasonal factors. Designed for food manufacturers, restaurant chains, importers, and food safety consultants, it automates manual monitoring, offering actionable insights for proactive risk management without subscriptions, paying only per tool call.

主な機能

01Orchestrates 7 parallel data sources (FDA, UK FSA, UN COMTRADE, etc.) for comprehensive data collection

020 GitHub stars

03Generates rule-based, actionable recommendations when specific risk thresholds are crossed

04Detects biological pathogens (e.g., Salmonella, Listeria) and chemical hazards in recall text

05Calculates Ingredient Risk Heat Maps by correlating import volume with recall and adverse event frequency

06Applies a four-model composite scoring system for overall risk assessment (Ingredient, Contamination, Supplier Hygiene, Seasonal)

ユースケース

01Profiling origin-country risk for high-volume food imports and customs prior to shipment

02Evaluating supplier risk and ingredient safety for food manufacturers' quality assurance teams

03Monitoring hygiene compliance across multi-location restaurant groups and franchise operators