Agricultural Commodity Climate

Commodity buyers, traders, underwriters, and food security analysts often struggle to gather and synthesize critical risk signals scattered across multiple data sources. This MCP server streamlines access to live weather stress analysis, pest emergence monitoring, trade concentration scoring, and price shock probability for any crop or growing region worldwide. It orchestrates 8 public data sources in parallel, including NOAA, GDACS, UN COMTRADE, and FRED, to synthesize four quantified scoring models and a composite Commodity Risk Score (0–100) with actionable recommendations, eliminating the need for manual data assembly and external API keys.

주요 기능

사용 사례