Enables text-only LLMs to understand images by converting them into structured text grids (colors, textures, regions) and OCR via MCP tools. Runs locally with zero external dependencies, providing a skill-based methodology for detailed image analysis.
Identifies LEGO parts, sets, and minifigures from local image files using the Brickognize API. It provides specialized tools for specific item recognition and integrates LEGO identification capabilities into MCP-enabled environments.
A Three.js MCP server for designing 3D brick constructions, enabling AI or interactive placement of bricks through natural language and providing tools to manage and export scenes.
