About
An early prototype Model Context Protocol (MCP) server that uses the Mineflayer API to control and interact with Minecraft, enabling developers to build bot-driven applications.
Capabilities
The Minecraft MCP Server bridges the gap between large‑language models and the immersive world of Minecraft. By exposing a set of high‑level commands over the Model Context Protocol (MCP), it allows AI assistants such as Claude to act as a fully‑functional bot inside an active game session. This eliminates the need for manual scripting or custom plugins, enabling developers to prototype AI‑driven gameplay scenarios with minimal overhead.
At its core, the server runs a Mineflayer bot that connects to a local Minecraft instance. Once the MCP client (for example, Claude Desktop) sends a request, the server translates that request into Mineflayer API calls. The result is an AI agent that can navigate, interact with blocks, manage inventory, and even fly—mirroring the capabilities a human player would normally perform. The advantage lies in the decoupling of AI reasoning from game logic: developers can focus on crafting natural language prompts while the server handles all low‑level Minecraft mechanics.
Key features include:
- Movement and Navigation: Commands such as , , and directional movement let the bot traverse complex terrains or follow user‑defined paths.
- Inventory Management: With , , and , the bot can gather resources, craft items, or prepare for combat without manual intervention.
- Block Interaction: , , and empower the bot to build structures, clear obstacles, or inspect the environment based on textual instructions.
- Camera Control: and give fine‑grained control over the bot’s perspective, useful for visual tasks or UI navigation.
Real‑world use cases span from automated building assistants that can replicate user‑uploaded blueprints to educational tools where students describe a structure and watch the bot construct it in real time. Game designers can prototype AI companions that respond to player commands, while researchers may study emergent behaviors in sandbox environments. The server’s integration with MCP means it can be plugged into any compatible AI workflow—whether that’s a local desktop assistant, a web‑based chatbot, or a custom application built on top of the MCP specification.
What sets this server apart is its ease of integration and rich command set that covers most everyday Minecraft interactions. By leveraging the familiar Mineflayer API and exposing it through MCP, developers gain a powerful, language‑agnostic interface to Minecraft, opening doors to creative AI experiments that were previously limited by the need for extensive custom coding.
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