Overview of FortunaMCP

FortunaMCP is a specialized MCP server that delivers high‑quality, hardware‑based randomness to AI assistants. By leveraging the Fortuna C‑extension powered by Storm—a thread‑safe, high‑speed C++ RNG engine—FortunaMCP supplies truly unpredictable values that go beyond the deterministic approximations of large language models. This capability is essential for any AI workflow where unbiased, stochastic outcomes are required and hallucinated or deterministic results would be unacceptable.

For developers building AI‑driven simulations, Monte Carlo analyses, or interactive game mechanics, FortunaMCP provides a suite of intuitive tools. The server exposes dice rolls, integer ranges, floating‑point intervals, and distribution‑based samples (triangular, Bernoulli) through simple, well‑documented RPC calls. Each tool is designed to match common use cases: RPG dice for game logic, custom integer ranges for sampling from irregular intervals, uniform floats for continuous stochastic processes, and triangular or Bernoulli variates for risk modeling and binary decision simulations. Because the underlying engine is thread‑safe, multiple concurrent AI agents can request random values without contention or performance bottlenecks.

Integrating FortunaMCP into an AI workflow is straightforward. An assistant can invoke a tool by name—e.g., —and receive a deterministic response that is truly random. The server’s responses are stateless and reproducible only through the external entropy source, ensuring that repeated calls produce different outcomes unless explicitly seeded. This design allows AI agents to perform tasks such as generating random test data, simulating uncertain environments, or creating procedural content without compromising on randomness quality.

The server’s unique advantage lies in its hardware‑driven entropy. Unlike pseudo‑random generators that rely on algorithmic seeds, FortunaMCP taps into system entropy sources, providing guarantees of unpredictability that are critical for simulations and interactive applications. While it is not intended for cryptographic or blockchain use, its speed and reliability make it a go‑to component for any AI system that requires genuine randomness.

In practice, developers can use FortunaMCP to:

• Run large‑scale Monte Carlo simulations that demand high throughput and true randomness.
• Generate procedural game assets or board game mechanics where dice rolls must be fair.
• Sample from custom numeric ranges for statistical modeling or randomized testing frameworks.
• Simulate risk scenarios using triangular distributions or binary outcomes with Bernoulli trials.

By offloading the randomness generation to a dedicated, high‑performance MCP server, AI assistants can focus on higher‑level reasoning while ensuring that any stochastic element in their workflows is both reliable and verifiably random.