# ACWR Analyzer MCP for AI Agents MCP > The ACWR Analyzer predicts athlete injury risk by comparing recent workout loads against long-term baseline fitness data. It calculates the Acute:Chronic Workload Ratio, telling coaches exactly when an athlete spikes their training too hard or isn't loading up enough. ## Overview - **Category:** sports-science - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_6wJPlJEEtkpKouxdrtkiIYI1VteE0uLwqMkHkJ3C/mcp - **Tags:** acwr, injury-prevention, athlete-performance, workload-management, sports-analytics ## Description Training athletes requires constantly balancing progress and safety. The ACWR Analyzer takes all that guesswork out of sports science. Instead of relying on gut feelings about whether a spike in activity is safe, your agent connects directly to established metrics. It calculates the ratio between an athlete’s recent workload and their long-term baseline load. This lets coaches see immediate 'danger zones' before minor strains turn into major injuries. You can use this MCP through any compatible client connected via Vinkius, giving you a complete catalog of professional tools. Your agent doesn't just spit out numbers; it uses the data to detect load trends and even generate specific coaching advice based on real-time risk assessments. ## Tools ### calculate_acwr_series Calculates a time series of ACWR values based on provided load data points. ### detect_load_trend Analyzes the input data to detect general patterns in how training loads are changing over weeks or months. ### evaluate_risk_tier Assigns a specific injury risk status (e.g., Safe, Caution, Danger) based on the calculated ACWR ratio. ### generate_training_prescription Produces tailored coaching instructions or adjustments to the athlete's current training regimen. ## Prompt Examples **Prompt:** ``` What is my injury risk if I go from a 30-unit week to a 65-unit week? ``` **Response:** ``` **⚠️ Danger Zone Alert.** A spike of this magnitude (ACWR > 1.6) indicates a high probability of overuse injury, specifically muscle strain or tendonitis. We recommend scaling back the next three sessions by at least 20% to allow for tissue adaptation and prevent acute failure. ``` **Prompt:** ``` Analyze my load history: [50, 55, 60, 70, 85]. What trend should I be worried about? ``` **Response:** ``` **📊 Load Trend Analysis:** The training load is showing a clear and concerning upward trajectory with high volatility (Std Dev: 12.4). While the current ACWR is acceptable, this rate of increase suggests cumulative fatigue. We recommend stabilizing volume for two weeks before attempting another major spike. ``` **Prompt:** ``` Give me advice for an athlete who just finished a competition with high load. ``` **Response:** ``` **📝 Training Prescription (Recovery Focus):** Based on the recent peak, your priority must be active recovery. For the next 7 days, limit intensity and keep volume stable. Suggested activities: low-impact cardio (cycling), mobility work, and core stability. Do not exceed a calculated ACWR of 1.0. ``` ## Capabilities ### Calculate Training Load Ratios It determines the precise ratio between an athlete’s recent training volume and their established historical workload. ### Identify Risk Tiers The system evaluates if the current loading places the athlete in a safe zone, a caution area, or a high-risk danger zone. ### Analyze Load Changes Over Time It detects underlying patterns in training volume, showing if loads are consistently increasing, decreasing, or remaining stable. ### Generate Actionable Training Plans The MCP produces specific coaching recommendations based on the current calculated workload and risk profile. ## Use Cases ### Managing Peak Competition Load A head coach inputs a week's worth of load data for an athlete right before a major championship. The agent calculates the ACWR series and uses `evaluate_risk_tier` to confirm that the peak training cycle is safe, allowing them to confidently plan the final taper. ### Addressing Plateauing Performance A performance director sees an athlete's load trend stagnating. The agent detects this using `detect_load_trend` and then uses `generate_training_prescription` to suggest a specific, safe method for increasing intensity. ### Return-to-Play Assessment An athletic trainer needs to clear an athlete returning from hamstring injury. The MCP calculates the initial ACWR and uses `evaluate_risk_tier` to confirm that the current low volume is appropriate, preventing relapse. ### Optimizing Long-Term Cycles A sports scientist inputs data spanning six months. Using the full range of tools, they calculate the ACWR series and generate a training prescription that spreads high loads out over time for sustained peak performance. ## Benefits - Stop guessing about athlete safety. The ACWR Analyzer uses the `evaluate_risk_tier` tool to immediately tell you if an athlete is in a high-danger zone, preventing unnecessary risk. - Get data that drives decisions. Instead of manual calculations, use the MCP to calculate full series of ratios with `calculate_acwr_series`, giving coaches a comprehensive performance view. - Anticipate overtraining before it happens. The ability to detect load trends gives you early warning signs, letting you adjust training weeks ahead using `detect_load_trend`. - Move beyond just numbers. When the system generates coaching advice via `generate_training_prescription`, you get actionable steps, not just raw data points. - Improve recovery planning. By understanding the relationship between acute and chronic loads, coaches can structure optimal return-to-play programs. ## How It Works The bottom line is you get an instant, data-backed assessment of injury risk that prevents guesswork in athlete care. 1. Feed your agent the athlete's recent workout data and their historical training baseline. 2. The ACWR Analyzer calculates the ratio, identifying immediate risks like excessive spikes or insufficient volume. 3. Your agent interprets this result to provide a clear risk tier evaluation and actionable coaching advice. ## Frequently Asked Questions **How does the ACWR Analyzer determine if my athlete is safe to increase training load?** The analyzer calculates your Acute:Chronic Workload Ratio and compares it against established thresholds. It doesn't just give a number; it tells you whether that ratio puts them in a safe zone or requires immediate volume reduction. **Can the ACWR Analyzer help with return-to-play planning?** Yes, coaches use it to monitor an athlete's load progression after injury. It provides continuous monitoring and specific advice, ensuring that increases in training are gradual enough to prevent setback. **Is this better than just looking at the last week's workout numbers?** Absolutely. The ACWR Analyzer is superior because it factors in long-term fitness baselines. It understands that a single high week means less if the athlete has been consistently training hard over months. **What kind of data does the ACWR Analyzer need to run an analysis?** It needs recorded workout volumes and intensities, both from recent weeks (acute) and averaged out over a longer period (chronic). The more comprehensive your input data, the better the prediction. **If my ACWR is high, what does the tool recommend I do?** The MCP doesn't just flag danger; it uses its tools to generate specific training prescriptions. It tells you exactly *how* much and *what kind* of load reduction or adjustment is needed.