Fatigue & Performance Analyzer

Fatigue & Performance Analyzer MCP Connector for Claude

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Models physiological fatigue, performance decline, and injury risk for athletes.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides advanced physiological modeling to help athletes manage training loads. By analyzing training volume and recovery, it calculates performance degradation and injury susceptibility. Use calculate_performance_status to get a snapshot of current fatigue, analyze_recovery_efficiency to evaluate rest quality, predict_injury_threshold to find safe training limits, and optimize_training_load to plan ideal training volumes based on fitness and hydration.

athletephysiologytrainingrecoveryperformance

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

analyze_recovery_efficiency

Determines how effectively an athlete is utilizing their rest periods based on their current fitness

calculate_performance_status

Provides a comprehensive snapshot of an athlete's current physiological state

optimize_training_load

Recommends the ideal training volume to maximize performance while keeping injury risk within acceptable bounds

predict_injury_threshold

Identifies the specific training load at which the current athlete will cross into a high-risk injury zone

See how to talk to your AI agent using Fatigue & Performance Analyzer.

What is my current physiological status after 5 runs and 2000 vertical meters with 10 hours of rest and a fitness level of 0.8?

Your current performance decline is 12%, your injury risk has increased by 5%, and you need approximately 8 hours of additional rest to reach a safe threshold.

How much more vertical meters can I climb before I hit a high injury risk with my current fatigue of 45 and fitness of 0.7?

You can safely complete an additional 350 vertical meters before reaching the high-risk injury threshold.

Recommend a training load for a fitness level of 0.9 to achieve a performance score of 0.85 with optimal hydration.

To reach your target, it is recommended to complete 4 runs with a total of 1200 vertical meters, which maintains a predicted risk increase within safe limits.

By using `predict_injury_threshold`, you can identify the specific training load that will push you into a high-risk zone, allowing for safer planning.

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