MCP For Claude Marketplace
RPG Stat Scaling Calculator

RPG Stat Scaling Calculator MCP Connector for Claude

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

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

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.

rpgstat-scalingdiminishing-returnscharacter-optimizationmath-engine

3 tools expose this connector's capabilities to your AI agent.

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

See how to talk to your AI agent using RPG Stat Scaling Calculator.

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

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

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

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

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

Moving 5 points results in a net value change of +2.45.

You can use `calculate_stat_metrics` to find the `optimal_investment_point`, which is where the marginal gain falls below your preferred threshold.

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