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Agrobr is an MCP server designed to empower Large Language Models (LLMs) with access to a rich array of real-time Brazilian agricultural data. It acts as a thin wrapper around the `agrobr` library, aggregating information from 19 distinct public APIs including CEPEA, CONAB, IBGE, INPE, B3, and NASA POWER. This tool provides LLMs with capabilities to fetch data on commodity prices, crop estimates, production trends, supply/demand balance, climate conditions, and deforestation rates, enabling sophisticated natural language queries about the Brazilian agricultural sector.
