Coin Flip MCP Server: Guaranteed Fairness, True Randomness

Fair coin flips guaranteed with true randomness from random.org via our MCP server—trust in every toss!" )

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About Coin Flip MCP Server

What is Coin Flip MCP Server: Guaranteed Fairness, True Randomness?

This specialized Model Context Protocol (MCP) server leverages true randomness from random.org to deliver impartial coin flips and dice rolls. By adhering to the MCP standard, it acts as a reliable tool for generating unpredictable outcomes with customizable parameters, ensuring no algorithmic bias in results.

How to Use Coin Flip MCP Server: Guaranteed Fairness, True Randomness?

Integrate the server into your MCP ecosystem via configuration files for platforms like Claude Desktop. Once deployed, issue natural language commands such as "Flip a coin" or "Simulate a 20-sided dice roll." The server processes requests through stdio channels, returning results formatted according to specified parameters. For development workflows, utilize npm scripts to handle builds and hot-reloading.

Coin Flip MCP Server Features

Key Features of Coin Flip MCP Server: Guaranteed Fairness, True Randomness?

True entropy sourcing: Utilizes random.org's certified randomness API
Adaptive response generation: Outputs context-aware results (e.g., "Heads/Tails" for coins, numerical values for polyhedral dice)
Edge case mitigation: Handles invalid input scenarios like zero/negative sides with informative feedback
Configurable granularity: Supports custom side counts beyond standard coin/dice parameters

Use Cases of Coin Flip MCP Server: Guaranteed Fairness, True Randomness?

Optimal for applications requiring verifiable randomness such as:

Game development for fair in-game chance mechanics
Decision-making tools needing auditable outcomes
Educational simulations demonstrating probability principles
Random selection processes in decentralized systems

Coin Flip MCP Server FAQ

FAQ from Coin Flip MCP Server: Guaranteed Fairness, True Randomness?

How does randomness certification work?
The server directly queries random.org's API, which uses atmospheric noise as an entropy source. Results include certification links for validation.

What happens if API access is unavailable?
The server returns a descriptive error while maintaining strict fallback policies to prevent pseudo-random generation.

Can I customize response formats?
Outcome phrasing adapts automatically based on side count, though the core API response structure remains consistent for programmatic parsing.

How do I troubleshoot connection issues?
Use the MCP Inspector tool to trace stdio communication and validate protocol compliance.

Content

Coin Flip MCP Server

An MCP server that provides true random coin flips using random.org's randomness API. This server demonstrates the Model Context Protocol by providing a tool for generating random outcomes with configurable sides.

Features

Tools

flip_coin - Flip a coin with configurable number of sides
- Optional sides parameter (default: 2)
- Uses true randomness from random.org
- Special handling for edge cases (0, 1, or negative sides)
- For 2 sides: Returns "Heads" or "Tails"
- For 3 sides: Returns "Heads", "Tails", or "_"
- For n>3 sides: Returns "It landed on side X"

Development

Install dependencies:

npm install

Build the server:

npm run build

For development with auto-rebuild:

npm run watch

Installation

To use with Claude Desktop, add the server config:

On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "coin-flip": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-coin-flip"]
    }
  }
}

Example Usage

Once connected to an MCP client like Claude Desktop, you can use natural language to interact with the coin flip tool. For example:

"Flip a coin"
"Roll a 6-sided die"
"Give me a random number between 1 and 20"

The server will use true randomness from random.org to generate the result.

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector:

npx @modelcontextprotocol/inspector node build/index.js

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT