"A tool to extract or read text and images from PDFs" matching MCP servers:

MCP server for Averra Extract — lets AI agents like Claude, Cursor, and ChatGPT convert any webpage into clean, LLM-ready Markdown.

Extracts any Instagram post, reel, or multi-slide carousel and converts captions, OCR text, and metadata into structured screener filters such as PER, PBV, ROE, RSI, and volume for reusable IG-to-screener workflows.

Provides live wait times and office details for all 60 Oregon DMV field offices by scraping the ODOT website, with no authentication required.

A paid MCP server that extracts structured product data (schema.org/Product) from any URL via headless browser, charging $0.01 USDC per call through x402 micropayments.

Enables image search on Google Images with size, color, and type filters, returning up to 100 results per call including source pages and full-resolution URLs.

Enables extracting precise data from web pages by parsing the DOM with CSS selectors and returning structured JSON, while also offering tools to inspect page structure, discover candidate selectors, and verify them without loading full pages into context.

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

Extracts brand identity (colors, typography, spacing) from any website and generates HTML/CSS replicas or applies branding to templates.

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.

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 Playwright-based browser automation tool for AI agents, enabling web search, navigation, scraping, and page interaction through the Model Context Protocol.

A universal MCP tool gateway that manages multiple remote tool processes, enabling LLMs to dynamically invoke web scraping, summarization, and knowledge retrieval through standardized Function Calling.

Fetches a URL and returns the main content as clean Markdown, using plain HTTP when possible and headless Chromium for JavaScript-rendered or bot-protected pages.

A Model Context Protocol server that provides real-time web search capabilities to AI assistants through pluggable search providers, currently integrated with the Brave Search API.

Enables converting a public release-note URL into ordered upgrade tasks with source excerpts, anchors, confidence, and uncertainty, without executing release text or project code.

MCP server that fetches remote or local HTML resources and converts them to Markdown, enabling AI clients to summarize or process web content.

An MCP server that automates converting diverse content sources like WeChat articles, YouTube videos, and various document formats into AI-generated outputs such as podcasts and slide decks via Google NotebookLM. It integrates specialized tools for web scraping, OCR, and file transformation to facilitate seamless content generation through natural language.

Enables extraction of YouTube video information including metadata (title, description, channel, views) and transcripts without requiring an API key, using yt-info-extract and yt-ts-extract libraries.

Provides web crawling and browser automation capabilities with support for multiple content formats (HTML, JSON, PDF, screenshots, Markdown), page content extraction, console message monitoring, and network request tracking.

Enables converting webpages into structured JSON using CSS-selector schemas, with anti-bot handling and support for protected pages.