coin flip mcp
Enables interaction with a tool for generating true random coin flips via random.org's API, supporting multiple custom side configurations and illustrating the Model Context Protocol.
Enables interaction with a tool for generating true random coin flips via random.org's API, supporting multiple custom side configurations and illustrating the Model Context Protocol.
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.
flip_coin
- Flip a coin with configurable number of sidessides
parameter (default: 2)Install dependencies:
npm install
Build the server:
npm run build
For development with auto-rebuild:
npm run watch
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"]
}
}
}
Once connected to an MCP client like Claude Desktop, you can use natural language to interact with the coin flip tool. For example:
The server will use true randomness from random.org to generate the result.
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector:
npx @modelcontextprotocol/inspector node build/index.js
Contributions are welcome! Please feel free to submit a Pull Request.
MIT
[
{
"description": "Flip a coin with n sides using true randomness from random.org. For 3-sided coins, try creative side names like: - past/present/future (temporal analysis) - true/unknown/false (epistemic states) - win/draw/lose (outcome evaluation) - rock/paper/scissors (cyclic relationships) - less/same/more (abstraction levels) - below/within/above (hierarchical positioning) - predecessor/current/successor (ordinal progression) Meta-usage patterns: 1. Use less/same/more to guide abstraction level of discourse 2. Use past/present/future to determine temporal focus 3. Chain multiple flips to create decision trees 4. Use predecessor/current/successor for ordinal analysis Ordinal Meta-patterns: - Use predecessor to refine previous concepts - Use current to stabilize existing patterns - Use successor to evolve into new forms Default ternary values are -/0/+",
"inputSchema": {
"properties": {
"sideNames": {
"description": "Optional custom names for sides (must match number of sides)",
"items": {
"type": "string"
},
"type": "array"
},
"sides": {
"description": "Number of sides (default: 3)",
"type": "number"
}
},
"type": "object"
},
"name": "flip_coin"
}
]