MCP For Claude Marketplace
Heat Shock Protein Estimator

Heat Shock Protein Estimator MCP Connector for Claude

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Estimate HSP activation and optimize thermal stress protocols.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides specialized tools to model the Heat Shock Response (HSR). It allows AI agents to calculate predicted HSP activation using estimate_hsp_response, design safe exposure routines with calculate_optimal_protocol, forecast thermal tolerance gains via predict_adaptation_timeline, and evaluate risks through assess_thermal_safety. It is designed for researchers and practitioners managing thermal stress protocols.

hspthermal-stressproteostasisheat-adaptationbiology-tools

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

assess_thermal_safety

Evaluates the risk of cellular damage for a given heat exposure profile

calculate_optimal_protocol

Recommends the best temperature and duration configuration to achieve a target response level safely

estimate_hsp_response

Calculates the predicted intensity of the Heat Shock Protein activation for a specific heat exposure profile

predict_adaptation_timeline

Estimates how long it will take for the subject to reach a new, higher level of heat adaptation based on their current protocol

See how to talk to your AI agent using Heat Shock Protein Estimator.

What is the predicted HSP response for 42°C for 30 minutes, 3 times a week, with an adaptation level of 0.2?

The estimated HSP response score is 0.75 with a peak activation time of 45 minutes and a high safety margin.

Suggest a safe protocol to reach a response score of 0.5 if my max safe temperature is 45°C and my adaptation is 0.1.

The recommended protocol is 41°C for 45 minutes, repeated 3 times per week, with an estimated safety level of high.

How long will it take to move from an adaptation level of 0.3 to 0.6 if I train 4 times a week?

It is estimated to take 14 days to reach the target adaptation level.

The `estimate_hsp_response` tool uses biological models to predict intensity based on temperature, duration, and existing adaptation levels.

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