Acute:Chronic Workload Ratio (ACWR) Analyzer MCP Connector for Claude
A+Predict injury risk by analyzing the relationship between recent and long-term training loads.
The ACWR Analyzer connects AI agents to sports science metrics, allowing for precise monitoring of athlete training stress. Using tools like calculate_acwr_series, evaluate_risk_tier, detect_load_trend, and generate_training_prescription, the server calculates the ratio between acute (recent) and chronic (baseline) workloads. It identifies potential injury zones, such as the 'Danger Zone' for high-intensity spikes, or 'Under-training' for insufficient load. Coaches can use this to receive actionable training prescriptions based on real-time workload fluctuations.
Related Connectors
Apgar Score Calculator MCP
Calculate and compare newborn Apgar scores to assess vitality at 1 and 5 minutes.
Watt Efficiency Prover MCP
A team spent 6 weeks 'optimizing' their operation. No baseline. No analysis. They restructured the most visible department. Processing time got worse. The bottleneck was a manual approval step in a different department — untouched entire time. Watt measured the Newcomen engine and found 80% of steam energy wasted reheating the cylinder. He did not 'optimize the engine' — he measured, identified, and eliminated specific waste. This tool forces that discipline: identify waste with data, instrument baselines, design feedback, isolate the bottleneck, and quantify improvement with numbers.
NF-e Access Key Validator MCP
Validate the structural integrity and compliance of Brazilian NF-e access keys.
Reversibility Architect Prover MCP
LLMs suggest irreversible architectural changes. This engine is a 6-pivot cognitive trap that forces the agent to map data rollbacks, blast radius, and canary deployments before executing.