FortunaMCP
5
FortunaMCP is an advanced MCP server designed to provide high-quality randomness for AI applications. Powered by the Fortuna C-extension and the Storm engine, it is essential for simulations requiring genuine randomness, such as Monte Carlo methods and game development, but not suited for security tasks.
FortunaMCP Server
FortunaMCP is an advanced MCP server dedicated to generating high-quality random values powered by the Fortuna C-extension and Storm engine. It offers dependable randomness for a wide range of AI applications, such as Monte Carlo simulations and interactive game mechanics, but is not intended for security or encryption tasks. Hosted by Silicon Society, the server supports AI-powered learning and job shadowing initiatives.
Tools Overview
- Dice: Simulates dice rolls, ideal for games.
- Random Range: Selects random integers from a custom range.
- Bernoulli Variate: Models binary outcomes.
- Binomial Variate: Determines number of successes in trials.
- Negative Binomial Variate: Counts failures before set successes.
- Geometric Variate: Number of failures before first success.
- Poisson Variate: Simulates rare event occurrences.
- Random Float: Produces continuous uniform random values.
- Triangular Variate: Uses for central-value estimations.
- Beta Variate: Simulates probabilities and proportions.
- Pareto Variate: Models heavy-tailed distributions.
- Von Mises Variate: For circular data analysis.
- Exponential Variate: Simulates time between events.
- Gamma Variate: Models waiting times.
- Weibull Variate: Simulates time to event or failure.
- Normal Variate: For bell-curve statistical simulations.
- Log-Normal Variate: Used in financial modeling.
- Extreme Value Variate: Models maximum/minimum events.
- Chi-Squared Variate: For variance estimation and testing.
- Cauchy Variate: For robust statistical scenarios.
- Fisher F Variate: Used in variance ratio analysis.
- Student’s t Variate: Applied in small-sample analysis.