Betting Data Processor V2

Enhanced betting data processor with MCP integration, user authentication, and production-ready architecture.

Project Overview

A modernized version of the betting data processor that adds:

• User authentication and subscriptions
• Database integration via MCP
• Enhanced data visualization
• Production-ready architecture

Project Structure

/server
  /src
    /api         # API routes and controllers
    /services    # Business logic
    /database    # Database models and migrations
    /mcp         # MCP service integrations
    /utils       # Utility functions
  /config       # Configuration files
  /scripts      # Database scripts and utilities

/client
  /src          # Frontend application
  /public       # Static assets

/docs           # Project documentation

MCP Integrations

This project leverages several MCP tools:

1. @modelcontextprotocol/server-sqlite - Development database
2. isaacwasserman/mcp-vegalite-server - Enhanced visualizations
3. @modelcontextprotocol/server-memory - Session management

Getting Started

1. Clone the repository:

git clone https://github.com/FL232323/betting-data-processor-v2.git
cd betting-data-processor-v2

2. Install dependencies:

# Server dependencies
cd server
npm install

# Client dependencies
cd ../client
npm install

3. Setup development database:

cd server
npm run setup-db

4. Start development servers:

# Start API server
npm run dev

# Start client (in another terminal)
cd ../client
npm run dev

Development Environment

• Server runs on http://localhost:3000
• Client runs on http://localhost:5173

Requirements

• Node.js 18+
• Python 3.8+
• SQLite 3

Migration from V1

This version enhances the original betting data processor with:

• User authentication
• Persistent data storage
• Enhanced visualizations
• Production deployment readiness

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request