# Brick Directory

> Use this tool when you need to access comprehensive LEGO data, including set information, part details, and market pricing. It solves problems related to LEGO research, collection management, and investment analysis by providing real-time data from trusted community sources. The Brick Directory accepts queries through AI assistants and integrates with personal accounts from Rebrickable, Brickset, BrickEconomy, and BrickOwl, outputting detailed LEGO information and analysis.

Canonical page: https://skillsregistry.net/skills/brick-directory  
JSON: https://api.skillsregistry.net/v1/skills/brick-directory

## Description

Brick Directory provides access to comprehensive LEGO data including over 20,000 sets from Rebrickable, 75,000+ unique parts and elements, minifigure profiles, and real-time BrickLink market pricing. Users can query LEGO information through AI assistants and integrate personal accounts from Rebrickable, Brickset, BrickEconomy, and BrickOwl. The service aggregates data from trusted LEGO community sources to deliver set information, part discovery, minifigure details, and investment analysis features.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/brick-directory)

## 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": "brick-directory"
    }
  }
}
```

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