MCP server for AI agents to make structured design decisions with direction, palette, typography, layout, and detail signatures, supporting multiple rendering backends and 56 visual styles.
MCP server that indexes and serves design skills, guides, and patterns from the taste-skill library, enabling structured retrieval and workflow prompts for design, redesign, and image generation.
MCP server for multi-provider AI image generation (AWS Bedrock, OpenAI, Google Gemini) enabling image generation, transformation, and editing through a unified interface.
MCP server that renders AI-authored documents to images and returns typed diagnostics for self-correction. It also provides visual QA metrics, raster-to-vector reconstruction, and image-to-draft proposals.
An MCP server that enables designers to interact with Rhino and Grasshopper via LLMs, analyze .3dm files, perform 3D modeling, and automatically generate GHPython code in Grasshopper based on user guidance.
MCP server that gives LLMs deep knowledge of design systems and tokens, enabling intelligent design evolution, token analysis, and designer-to-developer handoffs.