"AWS instance metadata service endpoint URL" matching MCP servers:

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

Turns any URL into structured web intelligence in one call: SEO/OpenGraph metadata, public contacts, tech-stack fingerprinting, Schema.org data, a security-headers audit, and clean AI-ready Markdown. Anti-SSRF hardened by design.

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

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

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

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.

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.

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 extracting visible text and links from webpages for content analysis.

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 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.

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.

Enables creating AWS cost estimates through natural language, generating shareable calculator.aws links, and retrieving actual calculated costs via headless Chrome, without requiring AWS credentials.

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

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 that enables AI assistants to search and retrieve Beninese government services, procedures, and requirements from service-public.bj with real-time data and smart provider routing.