"Guide to Creating React Components" matching MCP servers:

MCP server that fetches remote or local HTML resources and converts them to Markdown, enabling AI clients to summarize or process web content.

An MCP server that automates converting diverse content sources like WeChat articles, YouTube videos, and various document formats into AI-generated outputs such as podcasts and slide decks via Google NotebookLM. It integrates specialized tools for web scraping, OCR, and file transformation to facilitate seamless content generation through natural language.

Fetches a URL and returns the main content as clean Markdown, using plain HTTP when possible and headless Chromium for JavaScript-rendered or bot-protected pages.

Enables converting a public release-note URL into ordered upgrade tasks with source excerpts, anchors, confidence, and uncertainty, without executing release text or project code.

Provides a complete end-to-end MCP server implementation with file system tools, web scraping capabilities, and system information access. Includes ready-to-use configuration files and integration examples for Claude Desktop, ChatGPT, and other AI models.

Fetches website content and converts it to Markdown format with AI-powered content cleanup, ad removal, and full OpenAPI/Swagger specification support for easy processing by AI assistants.

Converts X (Twitter) posts into JSON, PDF, PNG, Markdown, or Slack/Discord messages using public endpoints, no API key or login required.

Automates the React Native Upgrade Helper website to extract upgrade information and file diffs between React Native versions.

Converts WeChat Official Account articles to clean Markdown with locally downloaded images, supporting single and batch operations via MCP tools.

Converts raw HTML to clean Markdown, optimized for LLM token efficiency and deterministic processing.

Enables browser automation over MCP using a real Chrome browser with existing profile, supporting real tabs, downloads, cookies, and RPA workflows.

Scrapes dynamic web pages via headless Chrome, stripping clutter and ads, and returns clean Markdown or JSON content. It integrates with Cloudflare Workflows and monetizes each extraction through the x402 protocol.

Crawl entire websites, sitemaps, and documentation portals into clean, LLM-ready Markdown without ads, cookie popups, or noise for RAG pipelines and AI agents.

A fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a stealth browser engine to fetch pages, dynamically handles SPAs/React, and converts bloat into token-optimized Markdown.

FastMCP-based tool for extracting UI component code from Uiverse.io, supporting HTML/CSS, React, Vue, Svelte, and Lit frameworks.

A basic MCP server setup guide demonstrating how to configure and run Python-based MCP servers with integration examples for Bright Data web scraping and Apify Actors for product data collection.

An MCP server for searching PC components and comparing prices across Brazilian stores via meupc.net. It enables users to explore community builds, track deals, and access detailed hardware specifications and compatibility information.

Enables comprehensive WCAG 2.0/2.1 accessibility testing of web applications using Playwright and axe-core. Supports natural language element finding, auto-discovery of interactive components, and generates detailed compliance reports with screenshots.

Enables AI assistants to search, retrieve, and assemble Bootstrap UI components from the Webpixels library. It provides tools to explore component categories, fetch HTML snippets, and build complete web pages.

MCP server that provides access to Livewire Flux components and layouts documentation, enabling AI assistants to fetch and search through documentation on demand.