Hops Drying Energy Optimizer

Hops Drying Energy Optimizer MCP Connector for Claude

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Optimize hop drying for energy efficiency and alpha acid retention.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides precise optimization for the hop drying process. It uses a thin-layer drying model to calculate the ideal temperature profiles and airflow requirements needed to reach target moisture levels. Users can use get_drying_profile to generate optimal drying sequences, calculate_energy_metrics to determine energy consumption and costs, estimate_quality_retention to predict alpha acid preservation, and simulate_drying_efficiency to compare different dryer architectures like belt, kiln, or whole-plant systems.

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4 tools expose this connector's capabilities to your AI agent.

calculate_energy_metrics

Calculates the total energy required and the efficiency of the process

estimate_quality_retention

Predicts the percentage of alpha acids preserved after the drying process

get_drying_profile

Generates the optimal sequence of temperatures and airflows to reach the target moisture

simulate_drying_efficiency

Compares different drying scenarios for the same batch of hops

See how to talk to your AI agent using Hops Drying Energy Optimizer.

Generate a drying profile for 500kg of hops with 80% initial moisture and a target of 9%.

The optimal drying profile for 500kg of hops requires a starting temperature of 55°C, gradually decreasing to 40°C as moisture reaches 9%, with a constant airflow rate of 120 m³/h.

What is the estimated energy cost for drying 1000kg of hops from 75% to 10% moisture using a belt dryer?

The total energy consumption for this batch is 4,500,000 kJ, resulting in a drying cost of $12.50 per kg of dried hops.

Compare the efficiency of a kiln dryer versus a belt dryer for 200kg of hops.

The belt dryer offers a lower drying cost of $0.15/kg with 94% alpha acid retention, while the kiln dryer has a higher cost of $0.22/kg but provides 96% alpha acid retention.

By using `estimate_quality_retention`, the tool predicts how much alpha acid is preserved based on the specific temperature profile used, helping to prevent thermal degradation.

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