"Modern clean web UI frameworks for TypeScript websites" matching MCP servers:

A starter template for building remote Model Context Protocol servers using TypeScript, providing modern tooling and best practices while leveraging the MCP TypeScript SDK.

Enables AI assistants to render interactive charts as generative UI inline in chat, including bars, lines, areas, donuts, tooltips, table views, and built-in series analysis.

Classifies SAP ABAP objects against SAP's official Clean Core release catalog to determine API release status and guide S/4HANA implementation.

Comprehensive MCP server for end-to-end UI development, offering tools to generate components, manage design tokens, audit accessibility, autofix issues, inspect live pages, compare screenshots, and more across multiple frameworks.

Enables AI-driven generation of UI components, full applications, and backend code across multiple frameworks (React, Vue, Angular, Svelte, HTML) with Figma integration and brand identity support.

A production-ready Model Context Protocol server built with Node.js and TypeScript, providing tool-based execution with input validation and error handling.

MCP server that parses web pages into clean markdown via Crawl4AI's HTTP API, exposing parse_page and health-check tools with configurable proxy and timeout.

A fast, dependency-light MCP server that converts web pages into clean Markdown, structured metadata, and classified links for language models.

Enables web searches through DuckDuckGo without an API key and extracts readable main content from web pages.

A minimal MCP server that provides a health check (server_info) and multi-language greeting (greet) tools, built with TypeScript and the official SDK.

Enables agents to search the live web and fetch URLs as clean Markdown, returning ranked search results and paginated page content through two lightweight tools.

Provides coding agents live access to shadcn-style component registries, enabling them to search, compare, and fetch real component source code for UI composition.

Enables web search and web fetch operations using Ollama's hosted APIs, allowing MCP clients to search the web and retrieve page content.

Enables AI assistants to generate production-ready, professional UI design systems and components from simple descriptions, with real images, animated components, and automated quality checks.

Enables reading web pages and PDFs as clean Markdown, extracting main content and letting agents query for relevant passages, outline sections, search in-page, and list links while respecting robots.txt and blocking private addresses.

A Model Context Protocol server that provides web content fetching and conversion capabilities.

MCP server for web page fetching (converting to Markdown/text with automatic fallback between Tavily and Firecrawl) and web search via Tavily.

Enables AI agents to search and fetch high-quality information from multiple sources, including general web APIs, Wikipedia, arXiv, Hacker News, Stack Exchange, and Crossref, with optional pro-mode deep research and clean markdown page extraction.

Enables frontend developers to read Moonvy design files, extract page lists, layer trees, node styles, design tokens, and download assets such as cutouts and snapshots for precise frontend implementation.

Enables AI assistants to access and manage shadcn/ui v4 components, including source code, demos, blocks, and CLI integration.