# Body Fat Percentage Estimator AI Agent Connect

> Body Fat Percentage Estimator MCP uses the US Navy circumference method to turn physical measurements into actionable health data. Your AI client can calculate fat mass, lean mass, and body fat percentages by processing height, neck, waist, and hip data. It includes built-in validation to ensure all biological inputs stay within realistic human ranges.

## Overview
- **Category:** health
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_QXuVu3wLqYIifeRVCq7p0jJfQ1GTAYTwhyVxuea9/ai-agent-connect
- **Tags:** body-fat, us-navy-method, body-composition, fitness-tracking, health-metrics

## Description

You can give your AI agent the ability to perform professional-grade body composition analysis. Instead of manually running formulas, you provide your agent with anthropometric measurements like height, neck, waist, and hip circumferences. This MCP uses the standardized US Navy method to output specific metrics including fat mass and lean mass. It is built to handle the math and the logic, ensuring that the data your agent works with is biologically plausible through built-in measurement validation. Whether you are tracking fitness progress or managing nutritional data, this tool turns raw measurements into a clear profile of physical composition.

## Tools

### get_composition_summary
This tool provides a simplified, human-readable summary of a user's body composition metrics.

### get_fitness_category_bounds
This tool returns the specific numerical ranges used to define various fitness categories.

### estimate_body_composition
This tool calculates a full body composition profile including fat percentage, fat mass, and lean mass using the US Navy method. Note that hip circumference is required for female profiles.

### validate_anthropometric_measurements
This tool checks if the provided physical measurements fall within realistic human biological ranges.

## Prompt Examples

**Prompt:** 
```
Calculate my body composition. I am a male, 85kg, 180cm tall, with a 40cm neck and 90cm waist.
```

**Response:** 
```
Your body fat percentage is 18.5%. Your fat mass is 15.7kg and your lean mass is 69.3kg. Your fitness category is 'Fitness'.
```

**Prompt:** 
```
What is the body composition summary for a 20% body fat and 70kg weight?
```

**Response:** 
```
With 20% body fat at 70kg, your fat mass is 14kg and your lean mass is 56kg.
```

**Prompt:** 
```
I am a female, 60kg, 165cm tall, 32cm neck, 70cm waist, and 95cm hips. What is my body fat?
```

**Response:** 
```
Your body fat percentage is 28%. Your fat mass is 16.8kg and your lean mass is 43.2kg. Your fitness category is 'Acceptable'.
```

## Capabilities

### Body Composition Calculation
Your agent uses this to derive fat and lean mass from circumference data.

### Data Validation
The agent checks measurements against biological limits to prevent errors.

### Fitness Categorization
Your agent compares calculated percentages against standard fitness category bounds.

### Metric Summarization
The agent converts complex percentages into easy to read summaries.

## Use Cases

### Progress Tracking
An agent compares monthly measurements to show changes in fat mass versus lean mass.

### Nutritional Planning
A nutritionist uses lean mass data to set precise protein requirements.

### Client Reporting
An agent generates a human-readable summary of a user's body composition for a report.

### Data Cleaning
The agent uses validation tools to catch typos in user-entered height or waist measurements.

## Benefits

- Uses the standardized US Navy method for consistent results.
- Prevents data errors by validating measurements against biological realities.
- Converts raw percentages into weight-based mass metrics.
- Provides clear fitness category context for every calculation.

## How It Works

Connecting this MCP to your client gives your agent immediate access to body composition math.

1. Connect the MCP to your preferred client like Claude or Cursor via Vinkius.
2. Provide your agent with the user's physical measurements.
3. The agent uses the validation tool to ensure the data is realistic.
4. The agent runs the estimation tool to calculate mass and percentages.
5. The agent delivers a summary or category report to you.

## Frequently Asked Questions

**What method does this MCP use for calculations?**
This MCP uses the standardized US Navy circumference method to estimate body composition.

**What measurements are required for a female profile?**
For female profiles, the user must provide height, neck, waist, and hip circumferences.

**Can the agent check if my measurements are realistic?**
Yes, the validate_anthropometric_measurements tool checks if inputs fall within realistic human biological ranges.

**What kind of output can my AI agent provide?**
Your agent can provide body fat percentage, fat mass, lean mass, and fitness category information.

**How do I use this with Claude or Cursor?**
You connect to the Vinkius hosted MCP once, and it becomes available as a tool in any compatible client.