"Material Design Icons" matching MCP servers:

Enables high-craft web design and engineering through OKLCH color systems, fluid typography, Three.js 3D scenes, frontend security audits, multi-viewport capture, and Python-backed design verification.

Provides software design guidance via MCP, including SOLID principles, design patterns, pattern scaffolding, and heuristic code-smell detection to help review and refactor code.

A local-first FastMCP server that indexes offline frontend catalogs (components, patterns, motion libraries) and exposes discover, search, compare, and recommend tools to AI agents via stdio.

MCP server for the Lando Labs Design System, enabling AI agents to introspect and generate code for React components, hooks, icons, design tokens, and theme presets via 15 tools.

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.

Enables AI agents to search, retrieve, and navigate Apple's Human Interface Guidelines as live Markdown content across all Apple platforms.

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.

Bridges Design OS exported component packages into target projects, handling migrations across different CSS, component, and icon libraries.

Serves the complete Sekura Design System—tokens, components, layouts, UX patterns, accessibility contract, and paste-ready code—to MCP-capable tools, enabling agents to build accessible, dark-mode-first interfaces with verified values.

Enables AI agents to generate dimensionally accurate mechanical parts (gears, enclosures, brackets, assemblies) in headless Blender from plain-English specs or JSON parameters, then verify them against manifold, bounding-box and print-production gates and export glTF/STL assets. It also scaffolds interactive Three.js CAD viewer pages with orbit controls, wireframe toggles and exploded-view scrubbing.

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 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.

An MCP server for Arabic UI/UX design, offering tools to generate design tokens, build RTL components, stitch layouts, and audit RTL compliance using Material 3 Expressive and Google Stitch.

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.

Provides a local, collaborative visual document editor that works with MCP agents, enabling creation and editing of brochures, reports, and other designs with live synchronization, revision history, and portable exports.

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 AI assistants to design a garden on a real plot by importing site and parcel data, laying out zones, selecting and placing plants, and reviewing the plan in 2D and 3D through the connected garden editor.

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.

Material, cell, pack, and supply-chain management with real-time

An MCP server for elite Arabic and bilingual RTL/LTR UI/UX design, providing tools for design pipelines, anti-AI-slop auditing, RTL layout conversion, Arabic typography optimization, and accessibility checks.

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 agents to reconcile piping material take-offs against Plant 3D SCSA exports by previewing diffs and applying quantity corrections, insertions, and gated removals with dry-run and explicit confirmation flags.

Perfume database API with verified notes: 1,500+ perfumes, 160+ houses, 400+ raw materials in a fragrance ingredients database. 12 tools over MCP and REST, OpenAPI spec, free and keyless, answers in 10 languages. Look up a note or raw material and get the perfumes that use it, or a perfume and get its full top, heart and base pyramid. Built by Scento.

Provide a human vision statement. The AI autonomously researches, audits your codebase, generates specs and plans, implements, and validates — with bi-directional verification at every junction to ensure nothing is missed or invented.

Compiler introspection for the Hirð language (typed actors and effect rows on the BEAM): type inference, definition lookup, effect-row explanation, IR fragments, actor protocol and supervision graphs, and token-budget-aware symbol summaries.

Delegates frontend/UI refinement to Gemini via agy CLI, using iterative vision loops and diff-gating to realign UIs to design mockups without affecting backend code.

Enables local analysis of unstructured documents (PDF, DOCX, PPTX, SVG, PNG) by extracting text and structure with citation anchors, and verifies summaries against source material before a human approves saving a report.

Enables Claude Code to delegate web research and image generation to ChatGPT via Playwright browser automation, allowing token-efficient search and visual design iteration without manual screenshots.

Deterministic Swiss Ephemeris (pyswisseph < 1.5 ms, Zero-Auth, Rule 14 Zero-Knowledge Privacy) MCP Server computing natal charts, Placidus houses, Draconic nodes, 7 Eternal Wisdoms (Western Astrology, Mayan Tzolkin, Vedic Jyotish 27 Nakshatras, BaZi & Wu Xing, I-Ching 64 Hexagrams, Human Design, Tarot & Kabbalah), 3D Soul Synastry, and Family Constellations (CA/ES/EN).

Provides AI agents with instant, structured access to electronic component datasheets, pinouts, and electrical specifications without requiring PDF uploads. It enables seamless part searching, design validation, and side-by-side component comparisons across major hardware providers.

MCP server that exposes pre-extracted facts about code behavior, design decisions, and assumptions to AI agents, saving time and tokens by avoiding direct source file reading.

Enables coding agents to compile supplied files, run optional focused tests, and get static findings across ten programming languages, providing a deterministic feedback loop on the code they are about to return.

MCP server exposing REINVENT4 generative molecular-design operations as validated, LLM-callable tools for drug discovery, including sampling, transfer learning, reinforcement learning, and molecular analysis.