Training Load Ratio

Training Load Ratio MCP Connector for Claude

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Calculate Acute:Chronic Workload Ratio (ACWR) to assess injury risk and optimize training.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides specialized tools for sports scientists and coaches to monitor athlete training loads. By calculating the Acute:Chronic Workload Ratio (ACWR), users can identify if an athlete is under-trained, in the safe zone, or over-trained. The server includes tools like calculate_acwr for core ratio calculations, get_load_recommendations for physiological adjustments, validate_training_readiness for qualitative assessments, and simulate_load_progression to predict future risk based on planned workloads.

acwrtraining-loadinjury-preventionathlete-monitoringsports-performance

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

calculate_acwr

Calculates the primary ACWR value and determines the risk assessment

get_load_recommendations

Provides specific physiological training adjustments based on a current ACWR

validate_training_readiness

Aggregates load data to provide a qualitative readiness assessment

simulate_load_progression

Predicts the future ACWR if a specific planned workload is added

See how to talk to your AI agent using Training Load Ratio.

Calculate the ACWR for an athlete with a weekly load of 50 and a 4-week average of 40 using rolling average.

The calculated ACWR is 1.25, which falls within the Safe zone.

What are the training recommendations for an ACWR of 1.6?

The recommendation is to Reduce load to prevent injury, focusing on recovery.

Is an athlete with an acute load of 30 and chronic load of 45 ready for training?

The athlete is currently Under-trained with a risk level of Low.

The ACWR compares recent training load (acute) to a long-term baseline (chronic) to help prevent injuries caused by sudden spikes in workload.

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