Dice Rolling

Addressing the inherent limitation of Large Language Models (LLMs) to perform truly random dice rolls, this Model Context Protocol (MCP) server acts as a crucial bridge, supplying AI assistants with genuine random number generation. While LLMs merely simulate rolls through text prediction, this TypeScript-based server parses standard dice notation, generates cryptographically secure random numbers, applies complex gaming mechanics like advantage, exploding dice, and rerolls, and returns authentic results. This ensures gaming integrity for tabletop RPGs, accuracy for statistical simulations, and reliable random number generation for any AI application.

Key Features

Use Cases