Python MCP Server

The python-mcp-server project is a Flask-based web server designed to interact with Minecraft, likely as part of a larger system for managing Minecraft servers, plugins, or player data. Below’s a detailed overview:

Project Overview

Purpose

• Acts as a backend server for Minecraft-related applications (e.g., user authentication, server management, or plugin integration).
• Provides a web interface (HTML/Jinja2 templates) and API endpoints (Flask routes) to interact with Minecraft services.

Key Features

1. User Authentication

   • Login/logout functionality (likely for server admins or players).
   • Uses Flask sessions or JWT (check server/utils/auth.py).

2. Database Integration

   • SQLAlchemy models (server/database/models.py) to store user data, server settings, or player stats.
   • SQLite/PostgreSQL likely used (check server/config.py).

3. Web Interface

   • Serves HTML pages (e.g., home.html, login.html) with CSS/JS assets.
   • Uses Jinja2 templating for dynamic content.

4. API Endpoints

   • Flask routes (in main.py or separate blueprints) to handle:
     • Player data fetching.
     • Server commands (e.g., starting/stopping Minecraft instances).

5. Testing

   • Unit tests (tests/) for auth, database, and utilities.

Technology Stack

Use Cases

1. Minecraft Server Dashboard
   • Admins can log in to monitor/manage servers via a web interface.
2. Player Stats Tracker
   • Stores and displays player achievements, ranks, etc.
3. Plugin Backend
   • Integrates with Minecraft plugins (e.g., for economy, permissions).

How to Run

1. Install dependencies:

   pip install -r requirements.txt
   

2. Configure the server:
   • Set secrets in server/config.py.
3. Start the Flask app:

   python server/main.py
   

4. Access the web interface at http://localhost:5000.

Missing Pieces (Likely Extended Elsewhere)

• Minecraft Plugin: This repo is only the server; a Spigot/Bukkit plugin would communicate with it.
• Real-time Features: No WebSocket/Socket.IO usage (would need Redis or similar for scaling).

Task Generation

Overview

The task generation feature allows you to automatically generate tasks for coding plans based on the project structure. This can be useful for planning and organizing your development work.

How to Use

1. Ensure you have the necessary dependencies installed:

   pip install -r requirements.txt
   

2. Use the task generator script to generate tasks:

   python server/task_generator.py
   

Dependencies

• OpenAI library (added to requirements.txt)