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Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

An MCP server that provides calculations for 11 betting methods including Martingale, Fibonacci, and Kelly Criterion. Enables users to initialize sessions, record wins/losses, and get next bet amounts through natural language.

README.md

Betting Method MCP Server

!CI ![npm version](https://www.npmjs.com/package/betting-method-mcp) !Dependabot

An MCP (Model Context Protocol) server that provides calculations for various betting methods. Can be used with Claude Desktop and other MCP-compatible applications.

✨ Now supports 11 betting methods!

🎲 Supported Betting Methods

  • Monte Carlo Method - Sequence-based betting strategy
  • Martingale Method - Double on loss (high risk)
  • Labouchere (Cancellation System) - Flexible sequence strategy
  • Oscar's Grind - Conservative profit-targeting system
  • Cocomo Method - 3x payout Fibonacci progression
  • Goodman (1-2-3-5) - Fixed progression system
  • Fibonacci Method - Fibonacci sequence betting
  • Paroli System - Reverse Martingale (double on wins)
  • D'Alembert Method - Gradual increase/decrease
  • Fixed Percentage Betting - Bankroll percentage strategy (e.g., 10% method)
  • Kelly Criterion - Mathematically optimal bet sizing for long-term growth

📦 Installation

Option 1: Install from npm (Recommended)

npm install -g betting-method-mcp

Option 2: Use with npx (No installation needed)

npx betting-method-mcp

Option 3: Install from GitHub

git clone https://github.com/yusakuvol/betting-method-mcp.git
cd betting-method-mcp
npm install
npm run build

🚀 Usage

Claude Desktop Configuration

Edit your claude_desktop_config.json:

If installed via npm: ``json { "mcpServers": { "betting-method": { "command": "betting-method-mcp" } } } ``

If using npx: ``json { "mcpServers": { "betting-method": { "command": "npx", "args": ["betting-method-mcp"] } } } ``

If installed from GitHub: ``json { "mcpServers": { "betting-method": { "command": "node", "args": ["/path/to/betting-method-mcp/build/index.js"] } } } ``

Usage Examples

You can ask Claude Desktop questions like these:

Start a Monte Carlo session with base unit 10
Initialize Martingale with base bet 10, max bet 1000
Start a Fibonacci betting session with base unit 5
Record a win and tell me the next bet amount
Check the current status

🎯 Available Tools

Each betting method provides 4 MCP tools:

  • {method}_init - Initialize a new betting session
  • {method}_record - Record a win/loss and get the next bet amount
  • {method}_status - Check current state (bet amount, profit/loss, etc.)
  • {method}_reset - Reset the session to initial state

Some methods also provide:

  • {method}_statistics - Get detailed session statistics (win rate, ROI, streaks, risk metrics)

Method Names

  • montecarlo - Monte Carlo Method
  • martingale - Martingale Method
  • labouchere - Labouchere (Cancellation System)
  • oscarsgrind - Oscar's Grind
  • cocomo - Cocomo Method
  • goodman - Goodman (1-2-3-5)
  • fibonacci - Fibonacci Method
  • paroli - Paroli System
  • dalembert - D'Alembert Method
  • percentage - Fixed Percentage Betting
  • kelly - Kelly Criterion

📖 Method Details

Monte Carlo Method

Sequence-based betting strategy that manages bet amounts using a number sequence.

How it works:

  1. Set an initial sequence (e.g., [1, 2, 3])
  2. Bet amount = (first number + last number) × base unit
  3. On win: Remove first and last numbers from the sequence
  4. On loss: Add the lost bet amount (in units) to the end of the sequence
  5. Session completes when the sequence has 0 or 1 numbers

Martingale Method

Doubles the bet amount after each loss. High risk strategy.

⚠️ Warning: Bet amounts increase exponentially during losing streaks. Always set limits!

Labouchere (Cancellation System)

Flexible sequence-based strategy where you can set your target profit.

Oscar's Grind

Conservative system that increases bets only after wins, targeting small consistent profits.

Cocomo Method

Fibonacci-style progression designed for 3x payout games.

Goodman (1-2-3-5)

Fixed progression system: 1 → 2 → 3 → 5 units on consecutive wins.

Fibonacci Method

Uses the Fibonacci sequence (1, 1, 2, 3, 5, 8, 13...) to determine bet amounts.

Paroli System (Reverse Martingale)

Doubles bet on wins instead of losses. Less risky than Martingale.

D'Alembert Method

Gradual progression: +1 unit on loss, -1 unit on win.

Fixed Percentage Betting

Bet a fixed percentage of your bankroll (e.g., 10% of current bankroll).

Kelly Criterion

Mathematically optimal betting strategy that calculates the ideal bet size to maximize long-term bankroll growth.

How it works:

  1. Formula: f* = (bp - q) / b
  • f* = optimal bet fraction (percentage of bankroll)
  • b = payout odds (profit multiplier)
  • p = win probability
  • q = loss probability (1 - p)
  1. Fractional Kelly: Use a fraction (0.25, 0.5, etc.) of full Kelly to reduce volatility
  2. Dynamic adjustment: After 30+ games, uses actual win rate instead of estimated probability
  3. Automatically adjusts bet size based on current bankroll and performance

⚠️ Note: Full Kelly (1.0) can be very volatile. Half Kelly (0.5) or Quarter Kelly (0.25) are recommended for practical use.

🤝 Contributing

We welcome contributions! Please see CONTRIBUTING.md for detailed guidelines.

Quick Start for Contributors

  1. Fork the repository
  2. Clone your fork: git clone https://github.com/YOUR_USERNAME/betting-method-mcp.git
  3. Install dependencies: npm install
  4. Create a branch: git checkout -b feature/your-feature-name
  5. Make your changes and add tests
  6. Ensure all checks pass: npm run build && npm test && npm run check
  7. Commit following Conventional Commits
  8. Push and create a Pull Request

Issue Templates

When reporting issues or suggesting features, please use the appropriate template:

  • Bug Report: For reporting bugs or unexpected behavior
  • Feature Request: For suggesting new features or improvements
  • Betting Method: For proposing new betting strategies

See our Issue Templates for more details.

🛠️ Development

Build

npm run build

Development Mode (watch mode)

npm run watch

Local Testing

npm run dev

Testing

This project uses Vitest for testing with 380+ tests across 15 test files.

# Run all tests
npm test

# Run tests in watch mode
npm run test:watch

# Run tests with UI
npm run test:ui

# Run tests with coverage
npm run test:coverage

Code Quality

This project uses Biome for linting and formatting.

# Lint check
npm run lint

# Lint with auto-fix
npm run lint:fix

# Format code
npm run format

# Check formatting
npm run format:check

# Run all checks (lint + format)
npm run check

🤖 AI-Assisted Development

This project includes context files for various AI coding assistants:

Claude Code Custom Command

This project includes a custom /implement command for automatically implementing new betting methods based on GitHub issues.

Usage: `` /implement <issue_number> ``

This will automatically:

  1. Fetch the issue details from GitHub
  2. Generate the method implementation
  3. Add the State interface
  4. Register MCP tools
  5. Create comprehensive tests
  6. Build and run tests

📁 Project Structure

betting-method-mcp/
├── src/
│   ├── index.ts                    # MCP server entry point
│   ├── types.ts                    # Common type definitions
│   ├── helpers/                    # MCP response & tool definition helpers
│   │   ├── __tests__/              # Helper test files
│   │   ├── mcp-response.ts         # Response formatting utilities
│   │   ├── statistics-handler.ts   # Statistics response builder
│   │   └── tool-definitions.ts     # Tool schema factory functions
│   ├── utils/
│   │   └── statistics.ts           # Statistics calculation utilities
│   └── methods/
│       ├── __tests__/              # Method test files (11 files)
│       ├── montecarlo.ts
│       ├── martingale.ts
│       ├── labouchere.ts
│       ├── oscarsgrind.ts
│       ├── cocomo.ts
│       ├── goodman.ts
│       ├── fibonacci.ts
│       ├── paroli.ts
│       ├── dalembert.ts
│       ├── percentage.ts
│       └── kelly.ts
├── .docs/                          # Method specifications (Japanese)
├── build/                          # Compiled files
└── ...

📄 License

MIT

⚠️ Disclaimer

This tool is provided for educational and research purposes only. Use in actual gambling is at your own risk. Betting strategies do not guarantee profits. Please gamble responsibly.

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