"A platform for deploying a website online" matching MCP servers:

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

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

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).

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.

MCP server for the Mamba Labs Ecommerce Platform Profiler actor on Apify. Detect the ecommerce platform, payment providers and catalogue size behind a storefront.

Captures high-quality screenshots of web pages with automatic resolution limiting and tiling optimized for Claude Vision API and other AI models.

Enables agents to run multi-engine web searches, find GitHub repositories, and fetch web pages as Markdown with headless-browser fallback and automatic system-proxy support.

Fast, token-efficient web content extraction tool that converts websites to clean Markdown for AI agents, featuring smart caching, content extraction with Mozilla Readability, and polite crawling capabilities.

Enables scraping of emails, phone numbers, and social profile links from website domains. Supports batch processing of up to 20 domains and can find company websites by keyword/company name.

Gives AI agents ten website and domain research tools, including full domain reports, readable page extraction, DNS lookups, feed and sitemap parsing, link and metadata extraction, site checks, and redirect tracing. Calls are paid per use in USDC on Base via x402 from a configured wallet, so no account, API key, or subscription is required.

Analyzes a public webpage for SEO, metadata, and technical signals through 27 stdio tools, including a complete multi-analyzer call.

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.

Captures high-quality webpage screenshots optimized for AI vision workflows, automatically tiling full pages into 1072x1072 chunks, with support for element-specific captures, configurable waits, and screencasts.

Enables AI agents and MCP clients to fetch webpages and crawl sites, converting them into clean, token-efficient Markdown with preserved links, caching, and polite crawling.

Enables AI agents to fetch webpages locally, extract main content, and convert it into clean, token-efficient Markdown with preserved links. Supports configurable multi-page crawling, caching, robots.txt compliance, and optional chunking for downstream processing.

Enables AI agents and MCP clients to fetch web pages and crawl sites locally, converting content into clean Markdown with preserved links, caching, robots.txt compliance, and minimal token usage.

Enables AI agents and LLM pipelines to fetch and crawl web pages, extract readable content, and convert it into clean Markdown with preserved links while minimizing token usage.

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.

Enables AI agents to fetch and crawl websites locally, extract main content, preserve links, and convert pages to clean Markdown with minimal token footprint.

Enables AI agents and MCP clients to fetch web pages or crawl sites and convert them into clean, token-efficient Markdown while preserving links.

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.

Enables AI agents and LLM pipelines to fetch and crawl websites locally, strip noise, and convert pages into clean Markdown with preserved links and low token usage.

Enables MCP clients and AI agents to fetch webpages, remove boilerplate, and convert content into clean Markdown with low token usage, optionally crawling multiple pages and preserving links.

Enables AI agents and MCP clients to fetch and crawl webpages, extract main content, preserve links, and convert pages into clean Markdown to reduce token usage.

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 agents and MCP clients to fetch and crawl webpages, strip noise, and convert them into token-efficient Markdown while preserving links and supporting caching, robots.txt, concurrency, and depth.

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