Drug Stability Kinetics

Drug Stability Kinetics MCP Connector for Claude

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Models pharmaceutical degradation kinetics and predicts shelf life.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides specialized tools for modeling the chemical degradation of pharmaceutical compounds. It uses Arrhenius kinetics to calculate degradation rate constants, estimate activation energy, and predict shelf life based on temperature-dependent data. Users can also adjust degradation models for environmental factors like pH levels and formulation stability using apply_formulation_adjustments.

kineticsstabilityarrheniusshelf-lifeph-sensitivity

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

estimate_activation_energy

Calculates the energy barrier required for degradation using multiple temperature data points

apply_formulation_adjustments

Modifies the predicted degradation behavior based on environmental factors like pH or excipient presence

calculate_rate_constant

Determines the speed of degradation at a specific temperature

predict_shelf_life

Estimates how long a drug remains potent at a given storage temperature

See how to talk to your AI agent using Drug Stability Kinetics.

Calculate the rate constant for a first-order reaction at 25 degrees Celsius with the following data: [{'concentration': 100, 'time': 0}, {'concentration': 90, 'time': 10}]

The calculated rate constant for the first-order reaction at 25°C is 0.0105 per unit of time.

Predict the shelf life for a drug with an initial concentration of 100, a rate constant of 0.02, a first-order reaction, stored at 4 degrees Celsius.

The estimated shelf life at 4°C is 5.26 units of time.

What is the activation energy if the rate constants are 0.01 at 25C and 0.05 at 45C?

The calculated activation energy is 52.4 kJ/mol.

You can use the `predict_shelf_life` tool by providing the initial concentration, the calculated rate constant, the reaction order, and the intended storage temperature.

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