"UML" matching MCP servers:

An MCP server that fetches web pages and extracts clean, AI-usable context from them, enabling tools for link discovery, content search, and integrated fetch-and-search operations.

Enables agents to fetch URL content as plain text or pretty-printed JSON, with optional pay-per-use monetization through Vybe Collect.

A Model Context Protocol (MCP) server that enables Claude or other LLMs to fetch content from URLs, supporting HTML, JSON, text, and images with configurable request parameters.

Enables AI agents to manage bookmarks (webpages, articles, videos) on behalf of users, including registration, categorization, tagging, and sharing.

Enables fetching visible text content and extracting all links from web pages through URL requests. Designed specifically for LM Studio integration to provide web scraping capabilities.

A Model Context Protocol server that enables LLMs to fetch and process web content in multiple formats (HTML, JSON, Markdown, text) with automatic format detection.

Enables AI agents to investigate public URLs through evidence-first intelligence, including crawling, entity resolution, social discovery, SEO, technology detection, monitoring, reports, and optional AI reasoning.

A stateless MCP server that provides a configurable HTTP client tool for LLM agents, supporting custom methods, headers, bodies, timeouts, redirects, response size limits, DNS overrides, and TLS verification.

MCP server that fetches raw HTML content from a given URL to provide web context to LLMs.

A FastAPI-based microservice that analyzes job URLs and extracts detailed company information by crawling job postings and company websites, with data enrichment from external providers.

MCP server that wraps URLFinder and JSFinder to extract URLs, JavaScript files, subdomains, and sensitive information from web pages, with support for batch scanning and deep crawling.

MCP server for intelligent web crawling using a ReAct agent. Adaptively explores websites and returns structured analysis.

Enables AI assistants to fetch and analyze web content from URLs through MCP protocol. Supports batch processing, content extraction, summarization, and metadata extraction with intelligent filtering of ads and navigation elements.

Enables fetching and reading content from web URLs through a configurable proxy prefix. Uses curl to retrieve webpage content and return it as text for analysis or processing.

Enables autonomous agents to precisely deconstruct, analyze, and manipulate URLs and query parameters without hallucination.

Provides URL metadata extraction (title, description, image, site name) from OpenGraph and meta tags for link previews.

Enables converting any webpage to clean LLM-ready markdown, with extraction, article, and news modes, using a real browser with anti-bot handling.

Enables read-only retrieval of public web pages through MCP, with SSRF protection, no cookies or login state, and specialized anonymous parsing for Xiaohongshu, plus an opt-in Jina Reader fallback.

An MCP server with one job: read a shared AI conversation link and write the whole thing to Markdown.

An MCP server that fetches web pages and extracts clean, AI-friendly Markdown content using Mozilla Readability. It provides secure web access for LLMs with built-in SSRF protection and automated content cleaning for improved context retrieval and summarization.