"Material Design" matching MCP servers:

AI Design Blueprint is a doctrine and runtime standard for agentic AI: 10 principles, 16 laws, and Pro/Teams validators your coding agent calls over MCP.

Enables AI assistants to retrieve and cite South Korean national construction standards (KDS/KCS) with tables and formula images via the KCSC OpenAPI, and to use design decision trees, validation, and blank Excel templates directly in the chat interface.

MCP server bridging ChatGPT-compatible clients to the Design Flow System, enabling project session management, draft import, round locking, and read-only access to design state and traceability.

Enables searching and retrieving documentation from MkDocs Material-powered sites.

Provides AI assistants with access to materials science databases, enabling search and analysis of material properties, crystal structures, phase diagrams, and elastic properties through the Materials Project API.

Provides 8 MCP tools for frontend design: load design system, generate components, scaffold pages, review consistency, extract tokens, check WCAG 2.2 AA, test responsiveness, and export to Figma.

Enables AI agents to search, import, migrate, validate, and maintain official Google Material Symbols across various platforms and IDEs.

MCP server for macOS that reads Lanhu designs, analyzes UI structures, and exports fine-grained design assets for multiple platforms.

Enables AI assistants to perform high-performance 3D CAD design, ultra-fast multi-view rendering, immutable versioned project management, and geometry/mesh verification for 3D printing on Windows.

Multi-model adversarial design review MCP server that distributes design documents to multiple LLMs, retrieves project knowledge, and produces calibrated consensus summaries.

Exposes procedural material and isometric terrain generation as MCP tools, allowing agents to create deterministic PBR textures and 2:1 isometric tiles from JSON recipes.

Connects MCP-compatible AI agents to a local 3D garment design application through its Python API, enabling scene inspection, pattern and sewing operations, fabric/material management, simulation, mesh measurement, checkpoints, import/export, documentation search, and raw Python execution.

Frontend Design Loop MCP enables coding agents to improve web page designs through screenshot-grounded iteration and proof artifacts, making pages materially better.

Enables AI assistants to search and retrieve structured video material, including dialogue, jokes, story structure, and video details through natural language queries.

Provides access to a universal design token system with 7 pre-built themes (colors, typography, spacing, motion) and multi-format export capabilities for Canva, Remotion, PPTX, CSS, and W3C JSON.

Enables AI assistants to create Material Maker node graphs from natural language, validate them against the node catalog, and render them headlessly to PBR texture maps and editable .ptex files.

Enables AI agents to remotely operate visual design tools via MCP protocol, with composable architecture for image processing, file operations, and workflow automation.

Enables LLM agents to design proteins, predict structures, score interfaces, and run molecular dynamics simulations through a unified interface.

An MCP server that generates professional design artifacts (HTML, PDF, PPTX) in seconds, powered by 150 design systems and 270+ skills.

Provides mobile UI/UX design intelligence tools for Flutter and React Native, enabling app research, palette extraction, WCAG contrast audits, touch target validation, tech stack detection, and generation of icons, splash screens, and theme code.