# ashlar

> ashlar — rcwalter24-ashlar. Use this tool when you need to integrate AI assistants with Minecraft Paper servers, enabling them to survey, render, build, and inspect live servers through Minecraft Control Protocol (MCP). This tool solves problems related to automated Minecraft server management and AI-driven content creation. It takes AI commands as input and outputs live server modifications, making it ideal for use cases that require dynamic Minecraft world manipulation.

Canonical page: https://skillsregistry.net/skills/rcwalter24-ashlar  
JSON: https://api.skillsregistry.net/v1/skills/rcwalter24-ashlar

## Description

Ashlar - let AI assistants (Claude, ChatGPT, Cursor...) survey, render, build and inspect a live Minecraft Paper server through MCP

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/rcwalter24/ashlar)

## 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": "rcwalter24-ashlar"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rcwalter24-ashlar` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rcwalter24-ashlar/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