# RPG Stat Scaling Calculator AI Agent Connect

> Analyze RPG character progression with precise diminishing returns and scaling models.

## Overview
- **Category:** gaming
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_XL7QIoJuMqEyt5YeMJK6srTlmexo47DP7hvGLHes/ai-agent-connect
- **Tags:** rpg, stat-scaling, diminishing-returns, character-optimization, math-engine

## Description

This MCP server provides a deterministic engine for analyzing RPG character progression. It allows AI agents to calculate exact stat values, marginal gains, and efficiency ratios across different mathematical models. Use `calculate_stat_metrics` to find the optimal investment point for a specific attribute, `compare_scaling_models` to evaluate linear versus logarithmic growth, or `calculate_respec_opportunity` to determine the impact of reallocating points between stats. It is designed to help players navigate diminishing returns and plan long-term character builds.

## Tools

### calculate_respec_opportunity
Determines the loss or gain of value when moving points from one stat to another

### calculate_stat_metrics
Calculates the current state and growth characteristics of a single stat

### compare_scaling_models
Evaluates how different mathematical models would perform if applied to the same investment

## Prompt Examples

**Prompt:** 
```
Calculate the metrics for a stat with 50 base value, 20 points invested, using logarithmic scaling with a factor of 5.
```

**Response:** 
```
The final stat value is 24.54, with a marginal gain of 0.15 per point and an efficiency ratio of 0.82.
```

**Prompt:** 
```
Compare linear vs logarithmic scaling for 100 points with a base stat of 10 and a scaling factor of 2.
```

**Response:** 
```
The linear model results in 210, while the logarithmic model results in 16.18. The delta between them is 193.82.
```

**Prompt:** 
```
I have 10 points in Strength and want to move 5 to Agility. What is the net change?
```

**Response:** 
```
Moving 5 points results in a net value change of +2.45.
```

## Frequently Asked Questions

**How do I know when to stop investing in a stat?**
You can use `calculate_stat_metrics` to find the `optimal_investment_point`, which is where the marginal gain falls below your preferred threshold.

**Can I compare different scaling types?**
Yes, the `compare_scaling_models` tool allows you to simulate how linear, logarithmic, and asymptotic models would behave for the same point investment.

**What happens if I move points between stats?**
The `calculate_respec_opportunity` tool calculates the net value change, showing exactly how much value you lose from the current stat and gain from the target stat.