# Minecraft Bedrock Edition

> Use this tool when you need to create AI-powered Minecraft experiences, automate complex building projects, or develop interactive learning environments. It provides direct control over Minecraft Bedrock Edition through WebSocket connections, offering tools for agent control, world manipulation, and player interactions. With 15 specialized tools and real-time game state management, it solves problems in game development, education, and content creation, accepting inputs through conversational AI interfaces and outputting controlled game actions.

Canonical page: https://skillsregistry.net/skills/mming-lab-minecraft-bedrock  
JSON: https://api.skillsregistry.net/v1/skills/mming-lab-minecraft-bedrock

## Description

This MCP server provides AI assistants with direct control over Minecraft Bedrock Edition through WebSocket connections, built using TypeScript with comprehensive tool categories for agent control, world manipulation, building operations, and player interactions. The implementation offers 15 specialized tools including agent movement and combat actions, world block manipulation and filling operations, geometric building functions for cubes/lines/spheres, player positioning and chat capabilities, and time/weather control, all communicating directly with Minecraft's built-in WebSocket server for real-time game state management. Built with robust error handling, Zod schema validation, and extensive testing infrastructure, it serves game developers creating AI-powered Minecraft experiences, educators using Minecraft for interactive learning environments, and content creators wanting to automate complex building projects or game scenarios through conversational AI interfaces.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mming-lab-minecraft-bedrock)
- **Repository:** <https://github.com/mming-lab/minecraft-bedrock-education-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mming-lab-minecraft-bedrock"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mming-lab-minecraft-bedrock` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mming-lab-minecraft-bedrock/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt