# Diabetes Risk Assessment AI Agent Connect

> Diabetes Risk Assessment MCP uses clinical scoring models to evaluate the probability of Type 2 Diabetes. Your AI client can calculate numerical risk scores, identify lifestyle factors that need attention, and build custom health recommendations based on specific user profiles.

## Overview
- **Category:** health
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_5lB1TIaXmhE43EzFQLxyTsmCMH36PTxI3j1MrzZl/ai-agent-connect
- **Tags:** diabetes, health-risk, wellness, clinical-scoring, prevention

## Description

You can use this MCP to turn raw health data into actionable clinical insights. Instead of manually calculating risk, you let your AI client handle the math using established scoring models. You provide the user's age, BMI, waist circumference, and glucose levels, and the MCP returns a specific risk category. It doesn't just stop at a number; it looks at modifiable lifestyle factors to show where changes can actually make a difference. If you're working with patient data or personal health tracking, this tool helps you move from a simple score to a structured prevention strategy. It's a direct way to bridge the gap between raw metrics and a clear path forward for health management.

## Tools

### analyze_modifiable_factors
This tool identifies specific lifestyle areas in a user's profile that can be improved to lower risk.

### calculate_risk_score
This tool computes a numerical risk score and assigns a qualitative risk category.

### generate_prevention_plan
This tool creates tailored health recommendations based on a user's specific risk profile and modifiable factors.

### get_risk_thresholds
This tool retrieves the specific score boundaries used to define different risk categories.

## Prompt Examples

**Prompt:** 
```
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]?
```

**Response:** 
```
Your calculated risk score is 12, which places you in the Moderate risk category.
```

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

**Response:** 
```
The modifiable factors identified are high BMI and low activity level.
```

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

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

## Capabilities

### Risk Scoring
Your agent uses clinical models to turn health metrics into a numerical score.

### Factor Analysis
The AI identifies which specific lifestyle habits are driving a user's risk level.

### Plan Generation
Your client builds custom health recommendations based on the calculated risk and modifiable factors.

### Threshold Lookup
The AI checks the exact score boundaries used to categorize risk levels.

## Use Cases

### Client Risk Profiling
A health coach inputs client data to quickly determine their diabetes risk category.

### Personalized Wellness Planning
An individual uses their AI agent to build a custom plan based on their BMI and activity levels.

### Lifestyle Intervention
Users identify modifiable factors like sedentary behavior to focus their health efforts.

### Data Categorization
Researchers use the threshold tool to understand how scores map to risk levels.

## Benefits

- Converts raw health metrics into standardized clinical risk categories.
- Pinpoints specific lifestyle changes needed to lower risk scores.
- Automates the creation of personalized health prevention strategies.
- Provides clear score boundaries for accurate risk interpretation.

## How It Works

Connecting this MCP to your AI client gives you immediate access to clinical scoring tools.

1. Connect the MCP to your client like Claude or Cursor via Vinkius.
2. Provide your health metrics to your AI agent.
3. The agent calls the risk calculation tools.
4. Receive a numerical score, risk category, and a tailored prevention plan.

## Frequently Asked Questions

**How does this MCP calculate diabetes risk?**
It uses clinical scoring models to process metrics like BMI, age, and glucose levels into a numerical score and category.

**Which AI clients can I use with this MCP?**
You can use this with any MCP-compatible client, including Claude, Cursor, and Windsurf.

**Can the AI suggest lifestyle changes?**
Yes, the tool analyzes modifiable factors and generates tailored prevention plans based on those factors.

**What kind of data is needed for a risk score?**
The tool typically requires data such as age, BMI, waist circumference, activity levels, and glucose values.

**Is this a manual calculation tool?**
No, the MCP automates the calculation and categorization through its built-in tools.