# Body Drag Distance Estimator AI Agent Connect

> Body Drag Distance Estimator uses environmental vector analysis to predict where a kiteboarder has drifted after losing control. It calculates the interaction between wind, current, and kite force to provide real-time drift velocity, total distance traveled, and estimated recovery times. You can also generate efficient search patterns based on the predicted drift zone.

## Overview
- **Category:** search-and-rescue
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_QjFV3wg19S9XFxXKNUjz17PyEZiQJvuyges5oeRu/ai-agent-connect
- **Tags:** kiteboarding, drift-analysis, vector-math, search-patterns, marine-safety

## Description

When a kiteboarder loses control and enters a body drag, the situation changes in seconds. You need to know where they are going before they drift out of sight or into danger. This MCP handles the heavy math of vector analysis so you don't have to. It looks at the wind speed, current direction, and the force of the kite to determine exactly how a person is being moved through the water. 

Instead of guessing, you can get specific numbers on instantaneous movement speed and total distance traveled over a set period. If you are coordinating a search, the MCP can suggest the best visual patterns, like zig-zags or circles, to cover the area effectively. It also calculates how long it will take to reach a target or cover the drift zone, which is vital for managing fatigue and time-sensitive rescues. It turns raw environmental data into actionable search and rescue intelligence for your agent.

## Tools

### calculate_optimal_search_pattern
This tool suggests the best visual search method, such as circular or zig-zag patterns, based on the predicted drift area.

### estimate_recovery_time
This tool calculates how long it will take to reach a board or fully cover the drift zone.

### get_drift_velocity
This tool finds the instantaneous speed at which a person is being moved by wind and current.

### predict_drift_distance
This tool estimates the total distance a person has traveled from their starting point over a specific duration.

## Prompt Examples

**Prompt:** 
```
Calculate the drift velocity if the kite power is 500N, wave direction is 90 degrees, wind speed is 10m/s, and current speed is 0.5m/s.
```

**Response:** 
```
The calculated drift velocity is 12.4 meters per minute with a drift direction of 85 degrees.
```

**Prompt:** 
```
If a person has drifted at 5 meters per minute for 30 minutes with a fatigue level of 1.2, what is the total distance traveled?
```

**Response:** 
```
The total distance traveled is 180 meters.
```

**Prompt:** 
```
How long will it take to recover if the drift distance is 500 meters, the velocity is 10 meters per minute, and the fatigue level is 1.5?
```

**Response:** 
```
It will take 75 minutes to reach the board.
```

## Capabilities

### Vector Analysis
Your agent uses wind, current, and kite force to calculate movement.

### Distance Prediction
The MCP calculates total travel distance based on time and velocity.

### Search Optimization
Your agent determines the most efficient visual search patterns for a given area.

### Time Estimation
The tool calculates the time required to reach a specific location or cover a zone.

## Use Cases

### Active Drift Tracking
Calculate the instantaneous speed of a person being moved by environmental forces.

### Search Area Planning
Determine the most effective visual search pattern based on a predicted drift area.

### Rescue Timing
Estimate how long it will take to reach a drifted person or their equipment.

### Distance Estimation
Predict the total distance a person has traveled from their last known position.

## Benefits

- Calculates drift velocity using wind and current vectors.
- Predicts total distance traveled over specific timeframes.
- Suggests efficient visual search patterns like zig-zags.
- Estimates recovery times to manage rescue windows.

## How It Works

Connect your AI client to the Vinkius-hosted MCP to start running vector calculations.

1. Connect your preferred MCP-compatible client to Vinkius.
2. Provide environmental data like wind speed, current, and kite force to your agent.
3. The agent calls the specific tool needed for the calculation.
4. The MCP returns precise drift, distance, or time data.
5. Use the results to plan search patterns or recovery efforts.

## Frequently Asked Questions

**What can this MCP do for kiteboarding safety?**
It predicts drift distance and recovery times by analyzing wind, current, and kite force vectors.

**Which AI clients can use this MCP?**
You can use this MCP with any compatible client like Claude, Cursor, Windsurf, or VS Code.

**How does it help with search and rescue?**
It calculates the most efficient visual search patterns and estimates how long it will take to reach a drifted person.

**Do I need to host the MCP myself?**
No, Vinkius hosts and manages the MCP for you. You just connect your client and start using the tools.

**Can it calculate movement speed?**
Yes, the get_drift_velocity tool calculates the instantaneous speed of movement caused by environmental forces.