# Minecraft Bedrock MCP Server

> Minecraft Bedrock MCP Server — mming-lab-minecraft-bedrock-mcp-server. Use this tool when you need to control and automate Minecraft Bedrock Edition gameplay with AI-powered capabilities, solving problems such as automated player movement and complex structure building. It provides 15 powerful tools for tasks like world manipulation and agent operations, accepting input commands and outputting in-game actions. Ideal for use cases requiring programmatic control of Minecraft Bedrock Edition, such as AI research, automated testing, or custom game development.

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

## Description

A TypeScript-based server that enables AI-powered control of Minecraft Bedrock Edition through 15 powerful tools for player movement, agent operations, world manipulation, and building complex structures.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/opsswmvx4q)
- **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-mcp-server"
    }
  }
}
```

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

---
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