# Waist-to-Hip Ratio Analyzer AI Agent Connect

> Waist-to-Hip Ratio Analyzer MCP lets your AI client analyze body fat distribution using waist and hip measurements. It uses gender-specific medical thresholds to classify body shapes like Apple or Pear and evaluate potential health risks based on fat patterns.

## Overview
- **Category:** health
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_sFSCA7hscH2QdIwF5opOVCqilQxXZ7OtY4gpmVvZ/ai-agent-connect
- **Tags:** health, body-composition, fitness, wellness, biometrics

## Description

You can use this MCP to turn simple body measurements into actionable health insights. Instead of manually calculating ratios or looking up medical charts, you provide your waist and hip circumferences to your AI agent. The MCP handles the math and the classification. It identifies whether a user falls into an Android or Gynoid fat distribution pattern and uses gender-specific thresholds to determine health risk levels. This makes it a practical tool for anyone tracking body composition or metabolic health indicators through biometric data.

## Tools

### calculate_whr
This tool calculates the exact waist-to-hip ratio from your provided measurements.

### classify_body_shape
Use this to identify physical profiles such as Apple or Pear shapes.

### evaluate_health_risk
This tool determines potential health implications based on calculated ratios and gender.

### get_fat_distribution_summary
Get a categorized summary of fat patterns, specifically Android or Gynoid types.

## Prompt Examples

**Prompt:** 
```
Calculate my WHR with a waist of 80cm and hips of 100cm for a female.
```

**Response:** 
```
Your waist-to-hip ratio is 0.80.
```

**Prompt:** 
```
What is my body shape if my waist is 95cm and hips are 90cm for a male?
```

**Response:** 
```
Your body shape is classified as Apple.
```

**Prompt:** 
```
Evaluate my health risk with a waist of 105cm and hips of 110cm for a male.
```

**Response:** 
```
Your health risk level is Moderate.
```

## Capabilities

### Ratio Calculation
Your agent uses this to find the exact WHR from waist and hip data.

### Shape Classification
The AI uses this to label body profiles like Apple or Pear.

### Risk Assessment
Your client uses this to check health implications against medical thresholds.

### Pattern Summaries
The agent uses this to categorize fat distribution as Android or Gynoid.

### Gender-Specific Analysis
The MCP applies different medical thresholds depending on the user's gender.

## Use Cases

### Client Progress Tracking
A coach inputs new measurements to see how a client's body shape or risk level changes over time.

### Health Risk Screening
An agent evaluates a user's waist-to-hip ratio to flag potential health concerns.

### Biometric Data Analysis
You process a list of measurements to summarize fat distribution patterns across a group.

### Fitness Profiling
Identify if a user has an Apple or Pear body shape to tailor training programs.

## Benefits

- Removes manual math by automating WHR calculations.
- Uses gender-specific thresholds for accurate risk levels.
- Categorizes fat patterns into Android or Gynoid types automatically.
- Provides instant body shape classifications.

## How It Works

Connecting this MCP to your AI client gives you immediate access to biometric analysis tools.

1. Connect the MCP to your client like Claude or Cursor via Vinkius.
2. Provide your waist and hip measurements to your AI agent.
3. Specify the gender to ensure correct medical threshold application.
4. The agent calls the necessary tools to calculate ratios and risks.
5. Receive the final classification or risk assessment in your chat interface.

## Frequently Asked Questions

**How does this MCP calculate health risks?**
The MCP uses gender-specific medical thresholds to evaluate the waist-to-hip ratio and determine potential health implications.

**What body shapes can the tool identify?**
The tool can classify body shapes into profiles such as Apple or Pear.

**Can I use this with Claude or Cursor?**
Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.

**What is the difference between Android and Gynoid patterns?**
The tool uses the get_fat_distribution_summary tool to categorize fat patterns into these two specific types.

**Do I need to host the MCP myself?**
No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately after connection.

**How accurate is the health risk assessment?**
The risk assessment is based on established medical thresholds for waist-to-hip ratios, which vary by gender to provide clinically relevant insights.

**What is the difference between Android and Gynoid distribution?**
Android distribution refers to fat concentrated in the abdominal area (apple shape), while Gynoid distribution refers to fat concentrated in the hips and thighs (pear shape).

**Can I use this for both men and women?**
Yes, the tools use gender-specific thresholds to ensure that calculations and risk evaluations are appropriate for both males and females.