Brickscope

Identify LEGO parts, sets, and minifigures from images — as a CLI tool or an MCP server for AI assistants.

Powered by the Brickognize API and Rebrickable.

Huge thanks to Piotr Rybak for creating the Brickognize service and making LEGO recognition accessible to everyone!

CLI

npm install -g brickscope

brickscope identify photo.jpg --type part
brickscope part 3001 --color Black
brickscope set 75192
brickscope minifig fig-012805

Or run without installing: npx brickscope identify photo.jpg

Full CLI documentation

MCP Server

For AI assistants (Claude, Cursor, etc.), add to your MCP config:

{
  "mcpServers": {
    "brickscope": {
      "command": "npx",
      "args": ["-y", "brickscope", "mcp"],
      "env": {
        "REBRICKABLE_API_KEY": "your-key-here",
        "BRICKOGNIZE_CACHE": "sqlite"
      }
    }
  }
}

Full MCP documentation

Configuration

Config file (CLI)

brickscope config init

Creates ~/.config/brickscope/config.json with your Rebrickable API key and cache settings.

Environment variables

Variable	Default	Description
REBRICKABLE_API_KEY	—	Free API key from rebrickable.com/api. Required for lookup tools.
BRICKOGNIZE_CACHE	none	Cache mode: none, memory, or sqlite

Environment variables take priority over the config file.

Features

• Image recognition — identify parts, sets, minifigures, and stickers from photos
• Batch processing — identify multiple images in parallel
• Part lookup — colors, set appearances via Rebrickable
• Set inventory — full parts list, year, theme, piece count
• Minifigure lookup — details and set appearances
• Caching — in-memory or SQLite cache for Rebrickable API responses
• Config file — save API key and preferences once, use everywhere

Examples

See the examples folder for prompt templates.

Development

npm install
npm run build
npm run dev           # Watch mode
npm test              # Unit + integration tests
npm run lint          # ESLint
npm run format        # Prettier

License

MIT