Diabetes Risk Assessment

Diabetes Risk Assessment MCP Connector for Claude

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Assess Type 2 Diabetes risk using clinical scoring models.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides tools to evaluate the probability of developing Type 2 Diabetes. Users can use calculate_risk_score to determine their numerical risk and category, analyze_modifiable_factors to identify lifestyle areas for improvement, and generate_prevention_plan to receive tailored health recommendations based on their specific profile.

diabeteshealth-riskwellnessclinical-scoringprevention

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

analyze_modifiable_factors

Identify specific aspects of the user's profile that could be improved through lifestyle changes

generate_prevention_plan

Provide tailored health recommendations based on risk and modifiable factors

get_risk_thresholds

Retrieve the score boundaries used to define risk categories

calculate_risk_score

Compute the numerical risk score and determine the qualitative risk category

See how to talk to your AI agent using Diabetes Risk Assessment.

What is my diabetes risk score if I am 45 years old, have a BMI of 28, a waist circumference of 102cm, am sedentary, have no family history, a blood pressure of 130, and glucose values of [105, 110]?

Your calculated risk score is 12, which places you in the Moderate risk category.

Identify my modifiable risk factors for a 50-year-old with a BMI of 32 and a waist circumference of 110cm who is sedentary.

The modifiable factors identified are high BMI and low activity level.

Give me a prevention plan for a high risk score of 18 with factors like high BMI and sedentary lifestyle.

To reduce your risk, focus on increasing daily physical activity and implementing a nutritional plan to lower your BMI.

The score is calculated using clinical parameters including age, BMI, waist circumference, activity level, family history, blood pressure, and glucose values via the `calculate_risk_score` tool.

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