"Modern Website UI & UX Designs" matching MCP servers:

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.

MCP server that lets AI agents search and inspect shadcn components from the encode-ui registry, returning metadata, source code, and install commands.

A mcp server to allow LLMS gain context about shadcn ui component structure,usage and installation

Enables AI coding agents to build, evaluate, and validate ServiceNow Next Experience UI Framework components and projects, helping keep component code and now-ui.json manifests in sync while using live instance API metadata.

Enables AI-powered generation, customization, and documentation of its-just-ui React components. Provides tools for component generation, theme management, form creation, responsive layouts, and accessibility guidance.

An MCP server for auditing and analyzing user interfaces across 20 platforms based on 30 fundamental UX laws. It provides automated code detection, platform-specific checklists, and comparative analysis to optimize design usability.

Enables AI assistants to discover, document, and generate React code using the pastel-themed Baby Design UI component library. It provides tools for retrieving design tokens and component specifications to streamline the development of user interfaces.

Enables coding agents to deterministically audit markup and stylesheets for WCAG contrast failures, accessibility errors and design-token sprawl, and to compute contrast ratios and inventory hardcoded colors, sizes, radii and spacing before shipping UI code. Works across any web stack with Claude Code, Claude Desktop, Codex and Antigravity, and can also run as a CI check that exits non-zero on errors.

Enables AI coding agents to inspect a project's design tokens and component catalog, audit React/Tailwind files against seven static UI quality rules, score overall UI health, and apply auto-fixes that are re-audited and reverted on regression. It works both locally over filesystem access and remotely on raw TSX/JSX or CSS snippets passed directly as strings.

Enables auto-configuration and validation of React components against a glassmorphic design token system using an AST correction engine. It supports managing UI presets, enforcing design uniformity in Monaco IDE, and exporting tokens as CSS, Tailwind, or JavaScript variables.

Enables coding agents to read ground truth about a React design system — components, props, cva variants, tokens and docs — over MCP so they write UI that matches it. It also exposes a check_ui linter agents run on their own output, returning rule ids, locations and concrete fixes before review.

MCP server that gives Claude deep awareness of your frontend codebase by scanning components, hooks, services, routes, and data flow for React or Vue projects.

Enables AI coding agents and IDEs to lint, compile, syntax-check, and simulate Verilog/SystemVerilog designs through structured, token-efficient MCP tools with isolated containerized toolchains.

Enables coding agents to ask typed yes/no, choice, score, and bounding-box questions about code, diffs, logs, and screenshots, returning structured decisions with calibrated confidence, caching, and cost controls.

Enables users to turn ideas or PRDs into component selections and architecture designs, audit existing projects with static scans, and manage long-running planning/auditing tasks with caching, cancellation, budget tracking, and checkpoint resume via MCP tools.

Enables AI coding agents and IDEs to synthesize Verilog/SystemVerilog designs with Yosys, inspect cell hierarchies and gate counts, and detect synthesis hazards like inferred latches and combinational loops before physical design flows.

An MCP server that enables AI to interact with the private 'my-design' React component library and design tokens for UI generation and technical support. It provides tools for component searching, API documentation retrieval, and migration guidance based on specific internal design specifications.

Enables AI agents to formally verify constant-time, masking, and patch completeness properties of Verilog hardware designs, providing concrete leakage signals and next-step guidance.

Provides professional C++ code style checking, best practices analysis, and modern C++ upgrade suggestions with tools for naming conventions, memory safety, const correctness, and access to comprehensive C++ style documentation.

Provides deterministic UI/UX intelligence and systems performance auditing tools for AI coding agents, enabling generation of accessible, well-designed React/Tailwind interfaces and elimination of backend anti-patterns like N+1 queries and sequential waterfalls.