"Web Page Content" matching MCP servers:

Enables AI agents to search and fetch high-quality information from multiple sources, including general web APIs, Wikipedia, arXiv, Hacker News, Stack Exchange, and Crossref, with optional pro-mode deep research and clean markdown page extraction.

Web search (embedded SearXNG), content extraction, and library docs indexing with hybrid search. No API keys required.

Extracts people (names and titles) from a company's team, leadership, or about page given a domain. Uses Apify to crawl and return structured data, with optional filters for seniority and email inclusion.

Resolves company domains to their LinkedIn pages, providing exact follower counts and public firmographics such as industry, company size band, headquarters, founded year, and specialties.

Enables semantic search across personal PDF paper collections with page-level citations, allowing users to query their library from any MCP-capable client.

Read any public web page as a clean AIDocument: Markdown plus title, description, and structure, with navigation and boilerplate stripped. Reads resolve through Lyrenth's shared cache, so it is far fewer tokens than raw HTML and origin-friendly.

A content exploration MCP server that helps LLMs surface high-signal, unsummarized web content through clean APIs and Markdown conversion, with intelligent frontmatter steering and citation tracking.

Enables searching and retrieving articles, citations, and structured content from Grokipedia for research and information retrieval. It provides specialized tools for section extraction, related page discovery, and filtered search results.

MCP server for LinkedIn Company Page analytics, providing follower growth, demographics, page views, and engagement stats via the Community Management API.

Enables AI clients to browse instruments, items, dimensions, expert assignments, and calculate Content Validity Index (CVI) via a standard MCP interface.

Enables LLMs to read and extract content from PDF files with high-fidelity LaTeX recognition and layout awareness using a Python-based extraction engine. It includes a robust Node.js fallback and supports page range filtering for efficient processing of large documents.

Zero-dependency MCP server: keyword difficulty, opportunity scoring, content briefs

Enables document parsing and extraction from PDFs and other formats using the MinerU API. Supports batch processing, page range selection, OCR in 109 languages, and VLM/pipeline models for high-accuracy content extraction.

Direct access to 40+ scraping and search tools. Extract structured data from Google (Search, Maps, Trends), Amazon, Airbnb, Social Media, and any web page directly into your AI agent.

Free remote MCP for Core Web Vitals metrics by CMS, CDN, and framework (Chrome field data + multi-site crawl). No auth. Endpoint: https://www.corewebvitals.io/api/state-of-cwv/mcp

Enables access to Sentrul's research, compliance scanning, and trace lookup agents through MCP clients. Provides 257 production agents for analyzing web content, detecting compliance patterns, and retrieving structured trace data.

Unified social media API for AI agents, enabling access to Facebook pages, groups, and posts with tools for page details, posts, reels, comments, and more.

Provides advanced Google Custom Search functionality, web content extraction, and specialized research tools such as search analytics, multi-site search, and fact checking. Works as an MCP server compatible with any MCP client.

Enables AI assistants to perform real-time web and academic searches using Perplexity's Sonar API.

Provides web search, content extraction, and deep research capabilities through the UniFuncs API, enabling real-time and asynchronous AI-powered search and research tasks.