Automate comprehensive travel risk assessments with this Model Context Protocol (MCP) server. It integrates real-time data from 8 global sources including NOAA, GDACS, WHO, UK Police, and Interpol to calculate a Destination Risk Score (0-100) across natural hazard, health, security, and weather dimensions. The tool then generates a composite advisory (SAFE, EXERCISE_CAUTION, RECONSIDER_TRAVEL, DO_NOT_TRAVEL) and structured JSON output, enabling corporate travel managers, security teams, and AI travel agents to make informed decisions without manual research.
Key Features
01Generates structured signal lists explaining the factors that drove each risk score
020 GitHub stars
03Orchestrates 8 parallel data feeds for comprehensive risk assessment
04Utilizes four independent scoring models for natural hazard, health, security, and weather risks
05Supports multi-stop itinerary scoring and side-by-side destination comparisons
06Provides a composite Destination Risk Score (0-100) and a four-tier advisory classification
