This Model Context Protocol (MCP) server provides comprehensive logistics and freight intelligence specifically designed for AI agents, catering to 3PLs, customs brokers, supply chain analysts, and freight forwarders. It streamlines the integration of structured risk data directly into AI workflows, eliminating the need to stitch together multiple APIs, normalize schemas, or manage credentials. The server orchestrates and synthesizes data from 9 authoritative sources—including NOAA, GDACS, OFAC, UN COMTRADE, and the World Bank—to deliver scored, labeled results with numeric risk scores, categorical verdicts, and plain-language signals, thereby accelerating the deployment of sophisticated supply chain risk management.
주요 기능
010 GitHub stars
02Orchestrates 9 parallel authoritative data sources fetched simultaneously per query.
03Provides weighted composite scoring with 5-level categorical verdicts and plain-language signals at every dimension.
048 purpose-built MCP tools covering route disruption, trade compliance, carrier risk, and more.
05Includes a route comparison engine to rank 2-5 trade routes by composite risk and recommend the safest.
06Calculates Herfindahl-Hirschman Index (HHI) for trade concentration scoring to identify highly concentrated supply chains.
사용 사례
01Freight cost forecasting and hedging for finance teams using forward-looking signals from currency, fuel, and trade indicators.
02Trade route optimization for supply chain teams to compare and justify route decisions with multi-dimensional risk data.
03Sanctions compliance for customs brokers and freight forwarders to screen shipments against OFAC SDN and international watchlists.
