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Coin Flip MCP Server

MCP Server

True randomness for coin flips and dice rolls

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Updated Mar 16, 2025

About

A lightweight MCP server that delivers genuine random outcomes via the random.org API, supporting configurable coin flips and dice rolls with edge‑case handling.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Coin Flip MCP Server

The Coin Flip MCP server fills a common need in AI‑assisted development: the ability to generate genuinely random outcomes on demand. Whether a developer is building a game, simulating stochastic processes, or simply testing random‑based logic in a dialogue system, having an external source of true randomness is invaluable. By delegating the random number generation to random.org, this server guarantees that each result is statistically independent and free from the biases of pseudo‑random generators built into programming runtimes.

At its core, the server exposes a single tool, , that accepts an optional argument. The default value of two sides produces the classic “Heads” or “Tails.” When a different number of sides is supplied, the server adapts its output format: three sides return “Heads,” “Tails,” or “_”; any larger count yields a generic “It landed on side X.” This flexible interface means the same tool can be used to emulate dice rolls, lottery draws, or any discrete random event without requiring additional code on the client side.

The value for developers lies in the seamless integration with AI assistants that support MCP. An assistant can invoke directly from natural language, and the response will appear instantly in the conversation. This eliminates the need to write custom random‑generation code, reduces bugs related to randomness handling, and keeps sensitive logic off the client. Moreover, because the server communicates over standard I/O, it can be hosted locally or in a cloud environment with minimal overhead.

Typical use cases include:

  • Game development – Randomly determining combat outcomes, loot drops, or player events within an AI‑powered game design tool.
  • Simulation and testing – Generating reproducible random inputs for unit tests or Monte‑Carlo simulations where true randomness is required.
  • Educational tools – Demonstrating probability concepts or teaching students about random processes through interactive AI conversations.
  • Creative writing – Allowing authors to let an assistant generate random plot twists or character decisions on demand.

A standout feature is the server’s handling of edge cases: if a user requests zero, one, or negative sides, the tool gracefully returns an informative message instead of crashing. This robustness ensures that AI assistants can rely on consistent behavior even when faced with malformed or unexpected input.

In summary, the Coin Flip MCP server provides a lightweight, reliable bridge between AI assistants and a trusted source of randomness. Its single, highly configurable tool streamlines development workflows that depend on stochastic outcomes, making it an essential component for any project where true randomness matters.