# Flexibility Assessment Scorer AI Agent Connect > Flexibility Assessment Scorer MCP analyzes physical mobility by comparing range of motion measurements against normative data. Your AI client uses this to spot lateral asymmetries, calculate composite flexibility scores, and pinpoint exactly where a person needs to focus their training to reduce injury risk. ## Overview - **Category:** health - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_gkP17tytdfw2oj4Tak0eBClHIdDW1xAdUVFQTb7q/ai-agent-connect - **Tags:** flexibility, mobility, fitness-assessment, health-tech, biomechanics ## Description You can use this MCP to turn raw movement measurements into a clear picture of physical health. Instead of guessing if a client's range of motion is sufficient, you provide your AI agent with specific data points like hip rotation or sit-and-reach distances. The MCP compares these numbers against age and gender-specific benchmarks to see how they stack up. It doesn't just look at single numbers; it looks for patterns. It can detect if one side of the body is significantly tighter than the other or if certain movement deficits suggest a high risk for injury. Once the analysis is done, your agent can generate a specific list of training priorities so you know exactly which muscle groups need work. It's a precise way to move from basic testing to a data-driven mobility plan. ## Tools ### calculate_flexibility_score This tool builds a complete flexibility profile by aggregating data from several different movement tests. ### detect_imbalances This tool isolates lateral asymmetries to show how much one side of the body differs from the other. ### get_normative_reference This tool pulls the expected range or threshold for a specific metric based on demographic data. ### identify_training_priorities This tool looks at identified deficits to suggest specific areas for physical improvement. ## Prompt Examples **Prompt:** ``` Calculate my flexibility profile with a sit-and-reach of 25cm, shoulder flexibility of 30cm, and hip rotation of 45 degrees on both sides. ``` **Response:** ``` Your flexibility score is 75, placing you in the 65th percentile for your demographic. ``` **Prompt:** ``` Check for imbalances if my left hip rotation is 30 degrees and my right hip rotation is 50 degrees. ``` **Response:** ``` A significant asymmetry was detected between the left and right hip rotation. ``` **Prompt:** ``` What are my training priorities based on a low sit-and-reach score and a detected hip asymmetry? ``` **Response:** ``` Your priority areas are hamstring flexibility and hip mobility, with a high level of urgency due to the detected asymmetry. ``` ## Capabilities ### Mobility Benchmarking Your agent compares raw movement data against normative age and gender standards. ### Asymmetry Detection The MCP identifies differences in range of motion between the left and right sides of the body. ### Composite Scoring It combines multiple test results into a single, cohesive flexibility profile. ### Deficit Analysis The tool identifies specific areas where movement falls below expected thresholds. ### Training Guidance It generates targeted lists of focus areas based on the analyzed movement gaps. ## Use Cases ### Injury Risk Assessment Use the tool to find significant asymmetries in hip or shoulder rotation that might indicate injury risk. ### Athlete Programming Generate a list of specific mobility focus areas based on an athlete's movement deficits. ### Client Progress Tracking Compare current flexibility scores against previous benchmarks to track improvement over time. ### Standardized Testing Apply normative references to see how a client's mobility compares to their age and gender group. ## Benefits - Identifies lateral imbalances that could lead to injury. - Benchmarks individual results against demographic-specific data. - Converts raw measurements into actionable training lists. - Provides a mathematical basis for mobility assessments. ## How It Works Get from raw data to a mobility plan in a few steps. 1. Connect your preferred AI client to the Vinkius hosted MCP. 2. Input your movement measurements or test results into the chat. 3. The MCP processes the data against normative benchmarks and detects imbalances. 4. Your agent provides a detailed flexibility profile and training recommendations. ## Frequently Asked Questions **How does the MCP calculate a flexibility score?** The MCP uses the calculate_flexibility_score tool to aggregate data from multiple movement tests into a single profile. **Can this MCP help find muscle imbalances?** Yes, the detect_imbalances tool specifically isolates and describes the severity of lateral asymmetries. **What kind of data do I need to provide?** You provide specific measurements like degrees of rotation or centimeters of reach for various movement tests. **Does it account for age and gender?** Yes, the get_normative_reference tool retrieves expected ranges based on specific demographic data. **How do I use the results for training?** The identify_training_priorities tool generates a list of focus areas based on the deficits found in your data. **How does the scoring work?** The engine compares your measurements, such as sit-and-reach or hip rotation, against standardized normative data to calculate a score and percentile. **Can it detect muscle imbalances?** Yes, by using `detect_imbalances`, the server identifies significant discrepancies between left and right side measurements. **What measurements are required?** You can provide sit-and-reach distance, shoulder flexibility, and hip rotation for both left and right sides.