Enables AI agents to control Minecraft bots via natural language commands by bridging a Python MCP server with a Node.js Mineflayer bridge. It supports a wide range of in-game actions including complex pathfinding, resource gathering, crafting, and combat.
A Minecraft bot that allows Claude and other LLMs to control a Minecraft character through the Model Context Protocol, enabling AI to perform various in-game actions like movement, building, and interacting with the world.
A client library that connects AI agents to Minecraft servers, providing full game control with 30 verified skills for common tasks including movement, combat, crafting, and building.
Enables controlling an autonomous Minecraft Java Edition player through MCP, with structured world perception, navigation, gathering, crafting, combat, building, skill-based task execution, and long-term memory integration.
Enables LLMs to control a Minecraft bot through the Mineflayer API, allowing for tasks like building, mining, and inventory management via natural language. It supports complex interactions including coordinate-based movement, block manipulation, and real-time game chat.