Minecraft MCP Bot

A Model Context Protocol (MCP) server that provides programmatic control of a Minecraft bot using the Mineflayer library. This project enables AI assistants to interact with Minecraft through a clean, extensible interface.

Project Goals

• AI-Controlled Minecraft Bot: Create an intelligent bot that can be controlled through natural language commands via MCP

• Full Mineflayer API Access: Provide comprehensive access to Minecraft bot capabilities through a generic command interface

• Intelligent Navigation: Implement pathfinder-based movement for precise, obstacle-aware navigation

• Extensible Architecture: Build a modular system that can be easily extended with new capabilities

• Training Environment: Establish a safe, flat-world testing ground for bot behavior development

• Clean Integration: Seamless integration with VS Code and AI assistants through MCP protocol

Features

Current Capabilities

• Generic Command Interface: Execute any Mineflayer bot command with flexible parameter handling

• Intelligent Pathfinding: Navigate to specific coordinates with obstacle avoidance

• Chat Communication: Send messages and interact with players

• Entity Detection: Scan for and interact with nearby players, mobs, and objects

• Flexible Movement: Both manual control states and intelligent pathfinding options

• Safe Testing Environment: Operates in a flat world to prevent terrain-related issues

Tools Available

1. execute-bot-command: Generic interface for all Mineflayer API functions

2. pathfind-to-position: Intelligent navigation to specific coordinates

Technical Stack

• Mineflayer: Core Minecraft bot library

• MCP SDK: Model Context Protocol server implementation

• Pathfinder: Intelligent navigation and movement

• Zod: Schema validation for tool parameters

• Node.js: Runtime environment

Getting Started

Prerequisites

• Node.js (v20+)

• Minecraft server (configured for flat world)

• VS Code with MCP extension

Installation

Configuration

1. Update server connection details in index.js

2. Configure MCP in VS Code settings (.vscode/mcp.json)

3. Ensure Minecraft server is running with flat world generation

Running

Development

Branch Structure

• main: Stable, production-ready code

• add-pathfinder: Pathfinding integration development

• Feature branches for new capabilities

Contributing

1. Create feature branches for new development

2. Test thoroughly in flat world environment

3. Ensure clean integration with existing MCP tools

4. Commit incremental changes with clear messages

Future Enhancements

• Building and Construction: Block placement and structure creation

• Inventory Management: Item handling and crafting capabilities

• Advanced AI Behaviors: Complex task execution and planning

• Multi-Bot Coordination: Manage multiple bots simultaneously

• Real-World Integration: Connect to live Minecraft servers safely

Security Considerations

⚠️ IMPORTANT SECURITY WARNING ⚠️

This project currently provides unrestricted access to the Mineflayer API through the generic command interface. This means:

• Any Mineflayer command can be executed without validation or restrictions

• The LLM has full bot control including potentially destructive actions

• No command filtering or sandboxing is currently implemented

• Suitable for trusted environments only (local testing, controlled servers)

Current Risk Level: HIGH

• ✅ Safe for: Local development, private servers, controlled testing

• ❌ NOT safe for: Public servers, untrusted environments, production use

• 🔥 It could set your world on fire. 🔥

Recommended Security Improvements (Future Development)

• Command Whitelist: Restrict available commands to approved set

• Parameter Validation: Strict validation of command parameters

• Action Limits: Rate limiting and scope restrictions

• Audit Logging: Track all executed commands

• Permission System: Granular control over bot capabilities

• Safe Mode: Default to restricted command set

Architecture Philosophy

This project emphasizes:

• Simplicity: Clean, minimal codebase with focused functionality

• Flexibility: Generic interfaces that adapt to diverse use cases

• Controlled Testing: Safe environment for development and experimentation

• Extensibility: Modular design for easy capability expansion

• Security Awareness: Recognizing and documenting security implications