"Webflow - A Platform for Website Design and Development" matching MCP servers:

Interact with Webflow sites, pages, and collections.

Provides a tool to download entire websites using wget. It preserves the website structure and converts links to work locally.

Enables users to mint website tasks into tested, deterministic MCP tools and replay them without a model, using Playwright browser tools for public sites and page tools that run in the user’s own Chrome tab for signed-in sites.

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

Reads a small-business website like a customer would and shows where they get stuck. Every AI answer has to quote the page, and the server checks the quote before it counts.

One-click website design cloning with Puppeteer. Captures HTML, CSS, colors, fonts, and layout structured data for recreation.

Bridges Claude Code with Claude Design, enabling sending design instructions, reading replies, and pulling generated files into the codebase.

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

Captures webpage styles and HTML, converts CSS to Tailwind, and applies extracted designs to frontend frameworks like React.

Fetches webpages and converts them into clean Markdown for token-efficient scraping by AI agents, preserving links and supporting configurable multi-page crawling, caching, and robots.txt-aware rate limiting.

Enables AI agents to fetch and crawl web pages, strip noise, and convert content into clean Markdown with preserved links for token-efficient scraping and downstream processing.

Enables fast, high-quality screenshot capture of web pages with automatic tiling into 1072x1072 chunks optimized for AI vision workflows. It also supports capturing specific DOM elements and recording screencasts as animated WebP files.

Enables AI chat backends to fetch public webpages and return cleaned, readable text, with tools for simple fetching and article extraction.

Fetches web pages, strips noise, and converts them to clean Markdown with preserved links and optional multi-page crawling, enabling token-efficient web content extraction for AI agents and LLM pipelines.

Enables AI agents and LLM pipelines to fetch and crawl webpages, strip extraneous content, and convert them into clean, link-preserving Markdown for fast, token-efficient scraping.

MCP server that fetches and converts website pages into clean markdown for agents, with sitemap-based discovery, disk caching, and polite crawling (robots.txt, rate limiting).

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

Fetches webpages and converts them into clean, token-efficient Markdown, optionally crawling multiple linked pages while respecting robots.txt and caching results for AI agents and LLM pipelines.

It enables AI agents to call a small set of reliable, permission-aware tools generated from an existing website through the Model Context Protocol, without rebuilding the site.

Enables AI agents and LLM pipelines to fetch webpages, strip noise, preserve links, and convert content to clean Markdown with caching and configurable crawling for token-efficient scraping.

Enables AI chat backends to fetch public webpages and obtain cleaned readable text, Markdown, article content, metadata, and summary-ready prompts through MCP tools.

Fetches webpages or crawls sites locally, strips noise, and converts content to clean Markdown while preserving links, enabling fast, token-efficient web scraping for AI agents and LLM pipelines.

Fetches webpages—and optionally crawls linked pages up to a configurable depth—then strips noise and converts the content into clean, token-efficient Markdown with links preserved. It caches results, respects robots.txt, and streams content for low memory use, making it suited for feeding AI agents, IDEs, and LLM pipelines readable web content.

Enables deterministic bilingual website intelligence audits by URL, returning fixed English or Spanish findings without ever contacting the submitted site.

Enables AI agents to fetch and crawl webpages, strip noise, and convert content into clean Markdown while preserving links for token-efficient scraping.

Fetches webpages and crawls sites locally, stripping noise and converting content into clean, link-preserving Markdown with a minimal token footprint. Supports configurable crawl depth, concurrency, robots.txt compliance, and caching for efficient AI agent and LLM pipelines.

Converts any rendered web page into a complete, LLM-readable design specification—including block screenshots, distilled computed CSS, design tokens, responsive deltas, and alpha-channel-analyzed assets—so models can accurately reproduce the design.

Enables agents to crawl URLs and retrieve page content as fixed-shape structured JSON, including title, markdown, links, word count, and error status.

Enables MCP clients and AI agents to fetch individual webpages or crawl sites and receive clean, link-preserving Markdown with caching and robots.txt-aware rate limiting, reducing token usage for downstream pipelines.

Enables AI agents to fetch web pages, strip noise, and convert content into clean Markdown with link preservation, caching, and configurable crawling for token-efficient scraping.

Captures high-quality screenshots and screencasts of web pages, automatically tiling full pages into 1072x1072 chunks optimized for Claude Vision API and other AI vision models.

Enables fast capture of web page screenshots optimized for AI vision workflows, with automatic tiling into 1072x1072 chunks and support for capturing specific DOM elements and screencasts.

Enables AI agents to fetch web pages locally, strip noise, and convert content to clean Markdown while preserving links, with caching and optional multi-page crawling for token-efficient scraping.

Enables AI agents and LLM pipelines to fetch webpages or crawl sites, extract main content, and convert it to clean, token-efficient Markdown with preserved links. It supports configurable crawling depth, caching, robots.txt compliance, and optional chunking for downstream processing.

Enables AI agents and developers to fetch webpages or crawl sites locally, extract readable content, and convert it into clean, link-preserving Markdown with caching, rate limiting, and robots.txt compliance for efficient downstream processing.

Enables capturing full-page or CSS-selector-targeted webpage screenshots via a headless browser, automatically tiling large pages into 1072x1072 chunks sized for AI vision models. It also supports timed screencasts with JavaScript injection, exporting frames as PNGs or animated WebP files.

Enables AI agents to quickly fetch webpages, strip noise, and convert content into clean, link-preserving Markdown with caching and optional multi-page crawling for token-efficient web scraping.

Fetches webpages locally, extracts readable content, and converts it to clean Markdown with preserved links, optional multi-page crawling, caching, and robots.txt support for token-efficient use by AI agents and LLM pipelines.

A lightweight MCP server implementation that provides a simple tool for fetching website content, demonstrating how tools can be exposed and interacted with using the MCP protocol.

Enables converting webpages into structured JSON using CSS-selector schemas, with anti-bot handling and support for protected pages.