# Training Load Ratio MCP for athletes. AI Agent Connect > Training Load Ratio MCP gives your AI client the math needed to monitor athlete workloads. It calculates the Acute:Chronic Workload Ratio (ACWR) to tell you if an athlete is under-trained, in the safe zone, or at risk of injury from over-training. You can use it to predict how future workloads will impact readiness and get specific physiological adjustments for your training programs. ## Overview - **Category:** analytics - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_mufVrlLrMhoiUsfbAngNw1TRY9srU8itbu6fXtT2/ai-agent-connect - **Tags:** acwr, training-load, injury-prevention, athlete-monitoring, sports-performance ## Description You can use this MCP to turn your AI agent into a specialized sports science assistant. Instead of manually calculating ratios, you let your agent handle the math behind the Acute:Chronic Workload Ratio (ACWR). This allows you to quickly spot when an athlete's recent training intensity is out of sync with their long-term baseline. When you're managing a roster, you can't afford to miss the signs of over-training. This MCP helps you identify those red flags by comparing recent workloads against chronic averages. You can also run simulations to see how a planned increase in intensity might push an athlete into a high-risk zone before you actually implement the change. It's a way to move from reactive coaching to proactive load management using the data you already collect. ## Tools ### calculate_acwr This tool calculates the primary ACWR value and provides a specific risk assessment based on the result. ### get_load_recommendations This tool provides specific physiological training adjustments based on the current ACWR. ### simulate_load_progression This tool predicts what the future ACWR will look like if you add a specific planned workload. ### validate_training_readiness This tool aggregates load data to give you a qualitative assessment of an athlete's readiness. ## Prompt Examples **Prompt:** ``` Calculate the ACWR for an athlete with a weekly load of 50 and a 4-week average of 40 using rolling average. ``` **Response:** ``` The calculated ACWR is 1.25, which falls within the Safe zone. ``` **Prompt:** ``` What are the training recommendations for an ACWR of 1.6? ``` **Response:** ``` The recommendation is to Reduce load to prevent injury, focusing on recovery. ``` **Prompt:** ``` Is an athlete with an acute load of 30 and chronic load of 45 ready for training? ``` **Response:** ``` The athlete is currently Under-trained with a risk level of Low. ``` ## Capabilities ### Risk Assessment Your agent uses the ACWR to determine if an athlete is in a safe, under-trained, or over-trained state. ### Load Simulation The AI predicts future risk levels by modeling planned workload increases. ### Physiological Adjustments Your agent suggests specific training changes based on current workload ratios. ### Readiness Validation The AI aggregates multiple load data points to assess if an athlete is ready to train. ## Use Cases ### Injury Prevention Identify athletes entering high-risk zones before they sustain an injury. ### Training Periodization Use load simulations to plan how to increase intensity safely over several weeks. ### Daily Readiness Checks Quickly validate if an athlete is ready for a high-intensity session based on recent loads. ### Load Monitoring Track whether athletes are under-trained or over-trained relative to their baseline. ## Benefits - Identifies injury risk by comparing acute and chronic workloads. - Predicts future risk through workload simulation. - Provides actionable physiological adjustments for training programs. - Automates the calculation of complex ACWR metrics. ## How It Works You connect the MCP to your AI client and start feeding it workload data. 1. Connect your preferred MCP-compatible client to Vinkius. 2. Provide your athlete's acute and chronic workload data to your AI agent. 3. Ask the agent to calculate the ACWR or simulate a new workload. 4. Receive specific risk assessments or training recommendations directly in your chat. ## Frequently Asked Questions **What is ACWR?** ACWR stands for Acute:Chronic Workload Ratio. It compares an athlete's recent workload to their long-term average to identify injury risks. **How do I use this with Claude?** You connect your Claude client to Vinkius once. After that, you can simply ask Claude to perform ACWR calculations or load simulations using the tools in this MCP. **Can this MCP predict future injury risk?** Yes, you can use the simulate_load_progression tool to see how a planned workload will affect an athlete's future ACWR. **What kind of training advice does it give?** The get_load_recommendations tool provides specific physiological adjustments based on the current ACWR value. **Do I need to host this myself?** No, Vinkius hosts and manages the MCP for you. You just connect your client and start using the tools. **What is the purpose of the ACWR calculation?** The ACWR compares recent training load (acute) to a long-term baseline (chronic) to help prevent injuries caused by sudden spikes in workload. **How do I use the `calculate_acwr` tool?** Provide the current week's load, the 4-week average load, and choose between 'rolling_average' or 'exponential_weighting' as the calculation method. **Can I predict future injury risk?** Yes, you can use `simulate_load_progression` to see how a planned workload for next week will impact the athlete's ACWR and risk category.