"Gathering Information from a Company's Website Root URL" matching MCP servers:

Enables agents to gather topic-level evidence from Bilibili through search, comments, transcripts, danmaku, images, frames, audio transcription, and reusable source/video registries. Supports a reproducible workflow for dual-axis source grading, surfacing conflicts, and declaring retrieval gaps.

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

Enables agents to discover how a website serves its data, verify sources with evidence, export OpenAPI 3.1, and generate tested TypeScript or Python clients.

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

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.

Enables extracting visible text and links from webpages for content analysis.

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.

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.

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.

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

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

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 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.

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

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 that converts web page URLs to Markdown via the Zyla API.

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

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.