Coffee Drying Kinetics Model

Coffee Drying Kinetics Model MCP Connector for Claude

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Predicts coffee drying duration, moisture risks, and final cup quality.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides precise kinetic modeling for coffee bean drying. It allows agents to calculate drying times using calculate_drying_duration, assess the risk of case hardening with assess_moisture_gradient_risk, forecast quality via predict_cup_score, and find optimal environmental settings through optimize_drying_parameters. It is designed to prevent defects like stinker beans by managing moisture gradients across different substrates like cherry and parchment.

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

assess_moisture_gradient_risk

Predicts the likelihood of internal defects caused by uneven drying

calculate_drying_duration

Estimates the total time required to reach a target moisture level

optimize_drying_parameters

Suggests adjustments to environmental conditions to maximize quality and minimize time

predict_cup_score

Forecasts the quality of the final product based on the drying profile

See how to talk to your AI agent using Coffee Drying Kinetics Model.

How long will it take to dry coffee from 60% to 12% moisture using mechanical drying at 40°C with 2m/s airflow and 5cm bean depth?

It will take approximately 34.5 hours to reach the target moisture level.

What is the risk of defects if I have 25% moisture, 45°C temperature, and 10cm bean depth?

The risk level is high due to the significant moisture gradient at this depth and temperature.

Suggest optimal parameters for drying parchment at 15% moisture towards 11% with current 35°C and 1m/s airflow.

To prioritize quality, maintain a temperature of 32°C and increase airflow to 1.5m/s.

You can use `assess_moisture_gradient_risk` to monitor the risk of case hardening and `optimize_drying_parameters` to adjust temperature and airflow to maintain a stable drying rate.

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