"Material Design Icons" matching MCP servers:

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

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.

An MCP server that provides design-pattern selection expertise to AI coding agents.

MCP server exposing 3100+ cloud technology icons (AWS, Azure, GCP, Microsoft, CNCF, Devicon) with 3-tier search and multiple output formats for integration into presentations and architecture diagrams.

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.

Generates software and app icons locally as PNG, ICO, or ICNS files with customizable styles, shapes, gradients, text, and shadows, requiring no external APIs or network access.

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.

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.

Enables an AI agent to discover Material Maker nodes, validate and build procedural material graphs through an undoable batch, and compare real 3D previews and labeled PBR maps returned as images. It also runs bounded parameter sweeps that restore the source state, and exports maps with manifests listing filenames, channels, sizes, hashes and changed-file state.

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.

Enables Claude to design, simulate, and optimize optical thin-film coatings, with material import, spectrum and field calculations, optimization campaigns, tolerance analysis, and native project-file handling.

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.

A portable Agent Skill for defensive software design, implementation, review, and verification. It routes agents to focused guidance for the trust boundaries that actually change, from a bounded fix to an architecture review or staged brownfield rollout.

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.

Provides tools to emit EU AI Act Article 50 compliance icons and metadata for AI-generated content.

Enables AI clients to submit material specifications, machine, and quantity and receive a single final quote in CNY/kg with MOQ status and human-verification hints, while raw material prices and pricing formulas stay locked server-side. Also exposes machine options and a fiber/spec/process vocabulary that can be passed straight into quote requests.

Fetches and structures Ant Design v4 component documentation into JSON format, enabling AI agents to search, analyze, and retrieve component metadata, APIs, and examples.

Enables Claude to search and retrieve curated design references, browse categories and tags, read style guides, and save new UI references from URLs so UI work starts from chosen inspirations rather than generic defaults.

An MCP server that gives LLM agents access to computational protein design tools.

Enables AI assistants to search 2000+ bundled Lucide icons by keyword and generate one or many styled SVGs with consistent stroke width, color, and size, entirely offline without API keys.

Enables AI assistants like Cursor and Claude Desktop to access a local AI Material Cabinet for searching, reading/writing content, creating documents, and retrieving chunks via MCP.

Local MCP server providing a curated 201-card design reference library with natural-language style search, structured filtering, card retrieval, theme borrowing, and capture tooling — all private and offline.

Enables anaerobic digester design from feedstock characterization to dynamic simulation using a complete mADM1 model with 63 components, including AI-powered state generation and thermodynamic pH solving.

Enterprise-grade MCP bridge exposing Open Design's REST API as 15 MCP tools, enabling AI agents to create, iterate, and manage design projects via the Model Context Protocol.

Exposes The Vibe Coder's Web Design Guide as tools for AI agents, enabling lookups of UI design patterns, CSS/JS snippets, and composition of optimized front-end prompts.

An intelligent MCP server for the automated design and sizing of aerobic biological wastewater treatment systems using membrane bioreactor (MBR) technology. It leverages ASM2d kinetics to perform mass balance calculations, flowsheet selection, and generate detailed engineering reports.

A Model Context Protocol server that provides AI assistants access to Mesh Design System components and design tokens, enabling AI-powered development tools to natively understand and utilize these UI components.

A read-only MCP server that enables semantic search over a Chroma library of narrative and game design content, using multilingual embeddings (BAAI/bge-m3) and offering tools to query indexed books, retrieve page chunks, and list available titles.