# Brick LEGO Modeler

> Use this tool when you need to programmatically create, edit, or analyze LEGO models, and want to solve problems such as automating model design, generating parts lists, or converting between different model formats like BrickLink Studio and LDraw. It takes input in the form of model files or part requests, and outputs modified models, bills of materials, or part information. Use it in contexts where automated LEGO model manipulation or analysis is required, such as architecture, engineering, or hobbyist projects.

Canonical page: https://skillsregistry.net/skills/gh-datakurre-brick-mcp  
JSON: https://api.skillsregistry.net/v1/skills/gh-datakurre-brick-mcp

## Description

Provides tools for working with LEGO models programmatically. Supports opening, creating, and saving models in BrickLink Studio (.io) and LDraw (.ldr/.mpd) formats. Includes part search, color lookup, bill of materials generation, and individual brick manipulation (add, remove, move, rotate, recolor).

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-datakurre-brick-mcp)
- **Repository:** <https://github.com/datakurre/brick-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": "gh-datakurre-brick-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-datakurre-brick-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-datakurre-brick-mcp/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