# Board Planing Speed Calculator AI Agent Connect

> Board Planing Speed Calculator provides hydrodynamic analysis for surfboard design. Your AI client can calculate the exact speed needed to lift a board out of the water, analyze drag across different speeds, and find the most efficient velocity range for specific fin setups and rocker profiles.

## Overview
- **Category:** engineering
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_snTAg7t6TCDYCYN5aybT7O1DlxlsLa6bX7Nf6UBt/ai-agent-connect
- **Tags:** surfboard, hydrodynamics, planing, drag, physics

## Description

Designing a surfboard requires more than just intuition. This MCP gives your AI agent the ability to run hydrodynamic calculations that determine how a board will actually behave on the water. You can use it to find the threshold speed where a rider begins to plane, which is critical for determining how a board will feel in different wave conditions. Instead of guessing how a new rocker or fin setup might change performance, you can have your agent run comparative analyses to see the impact on drag and efficiency. It handles the physics of resistance and velocity, allowing you to focus on the shape and feel of the board. Whether you are testing a new concave depth or adjusting a fin configuration, this tool provides the mathematical foundation for your design decisions.

## Tools

### compare_configurations
This tool evaluates how changing the fin setup or rocker affects planing performance. It lets your agent compare two different board builds side by side.

### get_drag_profile
This tool analyzes how drag changes across different speed increments for a specific board setup. It provides a clear picture of resistance at various velocities.

### get_minimum_planing_speed
This tool determines the threshold speed required for the board to begin planing. It identifies the exact moment a rider lifts out of the water.

### get_optimal_operating_window
This tool identifies the ideal speed range for performance and efficiency. It finds the sweet spot where the board performs best.

## Prompt Examples

**Prompt:** 
```
What is the minimum planing speed for a 75kg rider on a 180cm x 50cm board with a thruster setup, rocker level 4, and concave depth 3?
```

**Response:** 
```
The minimum planing speed for this setup is 5.2 m/s, with an optimal speed range of 5.5-7.0 m/s and a drag coefficient of 0.045.
```

**Prompt:** 
```
Show me the drag profile for a 80kg rider on a 190cm x 52cm board with rocker level 5.
```

**Response:** 
```
At 4 m/s, the drag coefficient is 0.03; at 6 m/s, it is 0.05; and at 8 m/s, it is 0.08.
```

**Prompt:** 
```
What is the best speed range for a 70kg rider on a 175cm x 48cm board with a quad fin setup?
```

**Response:** 
```
The ideal speed range for this board is 5.8 m/s to 7.2 m/s, providing an efficiency rating of 8.5.
```

## Capabilities

### Planing Threshold Calculation
Your agent calculates the minimum velocity needed to lift the board onto a plane.

### Drag Resistance Mapping
The AI maps how resistance changes as the board gains speed.

### Configuration Comparison
Your agent compares how different rocker levels or fin setups change the physics of the board.

### Efficiency Window Identification
The AI finds the specific velocity range where the board operates most efficiently.

## Use Cases

### Rocker Optimization
Compare how different rocker levels change the minimum planing speed for a specific rider.

### Fin Setup Testing
Evaluate the drag impact of switching from a thruster to a quad fin setup.

### Rider Matching
Determine if a specific board design will plane effectively for a given rider weight.

### Efficiency Analysis
Find the optimal speed range for a new board design to ensure it performs well in various conditions.

## Benefits

- Removes the guesswork from board design by providing mathematical drag profiles.
- Speeds up the iterative design process through rapid configuration comparisons.
- Provides precise velocity data for specific rider weights and board dimensions.

## How It Works

Connecting this MCP to your AI client gives you immediate access to hydrodynamic modeling tools.

1. Connect your MCP-compatible client to Vinkius.
2. Provide your board dimensions, rider weight, and setup details to your AI agent.
3. The agent calls the specific hydrodynamic tool needed for your question.
4. The MCP returns precise speed, drag, or efficiency data.
5. Your agent presents the results for your design review.

## Frequently Asked Questions

**What can this MCP calculate for surfboard design?**
It calculates minimum planing speeds, drag profiles, optimal operating windows, and compares different board configurations.

**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 the tool handle different rider weights?**
The tools use the rider's weight as a primary variable to determine planing thresholds and drag coefficients.

**Can I compare fin setups?**
Yes, the compare_configurations tool specifically evaluates how changing fin setups impacts performance.

**Do I need to host the MCP myself?**
No, Vinkius hosts and manages the MCP for you, so it is ready to use as soon as you connect your client.
