"User interface design or related topics" matching MCP servers:

Lets developers and MCP agents run deterministic local HTML audits, turning inline HTML into structured findings for missing labels, unnamed buttons, skipped headings, ambiguous links, duplicate IDs, and missing landmarks. It also exposes a rule list and returns stable, actionable reports without external API keys.

Enables AI-assisted user feedback collection and management via a web interface, with MCP integration for automated replies and tool execution.

A Model Context Protocol server that allows AI development tools like Cursor and Claude Desktop to retrieve detailed YAPI interface information by interface ID.

This server automatically validates consistency between AI-generated frontend and backend code by enforcing OpenAPI 3.0 specifications. It injects smart constraints into AI prompts to ensure that generated data structures and API calls remain synchronized across the entire stack.

A read-only MCP server for Anaplan that exposes 5 tools for business users to explore data through an AI assistant, with session caching and metadata gating.

Searches design platforms for UI references and extracts design tokens such as colors, typography, spacing, and shadows from live websites.

A design harness for AI coding agents. Better Design gives an agent design systems, UI and UX principles, icons and UI review: it finds or creates a design system that fits the product and installs its components, explains how sign-up, forms and onboarding should work, and reviews finished screens for readability, accessibility and unclear copy.

MCP server for token-user-system wallet operations, supporting balance, trend, transactions, coupons, and corporate transfer info.

Enables AI assistants to interact with MyAnimeList user accounts for list management, progress tracking, and personalized anime recommendations.

MCP server for Majico.xyz that enables coding agents to read (and limited write) brand guidelines, design tokens, studio canvas, and export manifests.

Enables AI agents to access and interact with a Discord user account via the Discord client API, allowing them to read servers, channels, DMs, mentions, and message history, and optionally send messages and perform other actions.

It enables AI agents to parse user agent strings into structured data such as browser, OS, device type, engine, and bot status, with pay-per-call micropayments via x402 and no API key or signup required.

Enables interaction with Discord using personal user tokens instead of bot applications, allowing for seamless message management and server exploration. It provides tools for reading history, sending messages, and searching across channels and DMs directly through MCP-compatible clients.

Provides source-backed design context, route card validation, contract generation, critique and verification reports, evidence packages, Penpot change plans, and anti-repeat checks for design workflows. Does not directly mutate Penpot, but consumes read-only Penpot snapshots.

Enables coding agents to search and extract design themes, review UI source with deterministic rules, and install shadcn-compatible React/Radix components from a local registry. Provides editable guidance topics and rendered spacing evidence without requiring an account for public catalog, guidance, and review calls.

Enables agents to roll true-random, reproducible design briefs, generate and compare multiple page directions, and critique final pages against each brief and its global prohibitions.

Enables AI coding agents to audit rendered web pages for design and UI defects by measuring geometry, styles, contrast and motion in a local browser and judging them against evidence-tiered rules. Findings come back as short, fixable items expressed in the project's own design tokens, while only sanitized numeric measurements leave the machine.

Generates structured design briefs from a website URL and/or brand details, in English or Spanish, via MCP tools.

An MCP App that enables AI agents to ask users multiple questions with tab-based navigation, multiple-choice options, multi-select support, and custom text input, all rendered inline in the conversation.

Provides local MCP tools for Cursor Agent to manage a live HTML artboard preview, including opening the artboard and revealing the design folder.

Enables ChatGPT to ask users for decisions or clarification through native question cards with options and free-text input, then continue the task after the user responds.

Enables Codex to clarify requirements via native MCP elicitation controls, supporting single/multiple-choice and free-text questions with recommended answers and a discuss-first option.

Enables AI agents to manage routes on the Design Canvas infinite canvas app, including adding, removing, listing routes, and capturing screenshots of the canvas.

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.

Enables AI coding agents to search public design-system catalogs and retrieve only the relevant tokens or sections for a chosen brand, so generated UI matches a specified visual style instead of generic AI output.

Provides design pattern templates and anti-pattern guidance to AI coding agents for correct pattern implementation.

Provides deterministic design style recommendations and structured tokens for AI content generation, with 30 curated styles including color palettes, typography, and visual directives.

Provides an interactive checklist tool that allows AI agents to present step-by-step instructions to users through an automatically opened terminal UI. It enables agents to guide users through manual tasks and wait for completion, skipping, or feedback before proceeding.

Enables assistants to discover, search, and extract real design systems — palettes, type scales, spacing, surfaces, and do/don't guidance — from the public style pages of styles.refero.design. It reports index coverage with every search and renders matched styles as structured design.md sections or parsed JSON tokens.