"Understanding Structured Thinking" matching MCP servers:

Web scraping, crawling, and structured data extraction for AI agents. 5 tools: scrape (clean markdown from any URL), crawl (entire sites), map (discover URLs), extract (structured JSON), and search. 833ms avg latency, single binary, self-hostable.

A DOM-first, vision-second MCP server for webpage analysis, combining structural DOM extraction with MiniMax vision to provide accurate, context-rich page understanding for AI coding assistants.

Enables reading Y Combinator's Work at a Startup job postings and company details through a logged-in session, providing structured data to AI assistants.

REST API and MCP server for AI agents to extract structured LinkedIn profile data.

Provides access to Jina AI's suite of web tools including URL reading, web/image/academic search, content extraction, embeddings, and reranking capabilities. Enables AI assistants to search the web, extract content from URLs, and process information with semantic understanding.

MCP server enabling parallel web search and batch browsing with intelligent content understanding via MiniMax LLM.

Provides browser automation capabilities using Playwright, enabling LLMs to interact with web pages through structured accessibility snapshots without screenshots.

Enables free web searching using Google search results with no API keys required, returning structured results with titles, URLs, and descriptions.

A Model Context Protocol server that enables AI models to extract structured data from websites through the extract\_structured\_data tool.

This server converts webpages into clean, structured Markdown optimized for language model consumption, removing unnecessary content and supporting JavaScript rendering.

Parses the HTML content from news.ycombinator.com (Hacker News) and provides structured data for different types of stories (top, new, ask, show, jobs).

MCP Server enabling integration with Scrapezy to retrieve structured data from websites.

Thunderbit MCP lets AI agents search, scrape, and extract structured data from any website.

Enables agents to transform tabular Markdown content into structured, type-inferred records with normalized formatting through an MCP-compatible interface.

Enables agents to scrape, crawl, map, search, and extract web pages as clean markdown or structured JSON directly through MCP tools.

Enables reading LinkedIn profiles into structured JSON using your own signed-in session, with no browser automation or API keys.

Enables AI agents to scrape JavaScript-rendered web pages, extract structured JSON data using LLM prompts, and crawl websites with configurable page limits.

Lightweight browser automation server for AI agents, enabling fast (10-25ms per action), structured observations and semantic selectors with zero token overhead.

E2LLM — structured browser perception for AI

Enables downloading and probing images/videos from public Instagram, TikTok, and Facebook accounts through MCP tools, returning structured results for AI agents.