#Extract

Official Firecrawl MCP Server - Adds powerful web scraping to Cursor, Claude and any other LLM clients.

One API for Search, Crawling, and Sitemaps

Search Google, scrape webpage and retrieve content in markdown.

MCP server for X (Twitter) with 120+ API endpoints. Search tweets, scrape user data, post tweets, run giveaway draws, monitor accounts, extract followers, manage DMs, download media, analyze writing styles, and automate X workflows. Remote Streamable HTTP server with API key authentication.

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A MCP Server for pdffigures2: This server processes scholarly PDFs to extract figures, tables, captions, and section titles with high accuracy. It is designed to support researchers and developers in efficiently analyzing academic documents.

Web Search tools are a series of tools that allow Claude to acces de internet via MCP Server

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A Model Context Protocol (MCP) server for YouTube videos with caption extraction and markdown conversion capabilities

MCP server that transcribes webpages for LLMs to use by providing the url to the LLM.

A Model Context Protocol (MCP) server implementation that integrates with web scraping capabilities.

This Model Context Protocol (MCP) server provides tools for structuring and extracting data from text according to JSON templates.

MCP Video & Audio Text Extraction Server A Model Context Protocol (MCP) server that enables text extraction from various video platforms and audio files, allowing compatible host applications (like Claude Desktop, Cursor) to access video content and perform text transcription. What is it? MCP Video & Audio Text Extraction Server is a Model Context Protocol (MCP) server that can download videos from various platforms, extract audio, and convert it to text. The server utilizes OpenAI's Whisper model for high-quality audio-to-text conversion. How to use it? Clone the repository and install dependencies Ensure FFmpeg is installed Run the server Configure your MCP host application (like Claude Desktop) to use the server Key Features Support video downloads from multiple platforms including YouTube, Bilibili, TikTok, etc. Extract audio content from videos High-quality speech recognition using Whisper model Multi-language text recognition support Asynchronous processing for large files Standardized MCP tools interface Use Cases Provide text transcription capabilities for applications that need to process video content Batch process video content and extract text information Create custom applications requiring audio/video text extraction functionality Enable AI assistants to understand video content FAQ What are the system requirements to run the server? > Requires Python 3.9+, FFmpeg, minimum 8GB RAM, GPU acceleration recommended What should I know about first run? > The system will automatically download the Whisper model file (approximately 1GB), which may take several minutes to tens of minutes What audio formats are supported? > Supports common audio formats including mp3, wav, m4a, etc. This description maintains the core information from the original README while adopting a similar structure and style to the reference page. Would you like me to adjust or add anything to this description?

MCP OCR Server is a production-ready OCR solution built with Model Context Protocol (MCP), enabling seamless text extraction from images via Tesseract OCR. Supports local files, URLs, and raw bytes with multi-language capabilities and automatic setup. Fast, reliable, and easy to integrate.

Discover, extract, and interact with the web - one interface powering automated access across the public internet.

Basic MCP Server for Web Scraping

MCP server that extracts web content using Readability.js

A powerful Model Context Protocol (MCP) server that provides an all-in-one solution for public web access.

A powerful Model Context Protocol (MCP) server that provides an all-in-one solution for public web access.

Rookie Text2Data MCP Server

Playwright MCP Server 一个基于 FastMCP 框架的专业级 Playwright 浏览器自动化 MCP 服务器，为 LLM 应用提供强大的网页交互和数据提取能力。

MCP server for parsing data from a pdf url

Provides context optimization tools to extract targeted information rather than processing large files and command outputs in their entirety.

Official MinerU MCP server for document parsing. Convert PDF, DOCX, PPTX, images, and HTML to high-quality Markdown. Supports 109-language OCR, table/formula extraction, and both token-free Flash mode (20 pages / 10MB) and Precision mode (600 pages / 200MB). Works with Claude Desktop, Cursor, and Windsurf.

Averra Extract is a REST API that converts any URL into clean, LLM-ready Markdown. One endpoint, one input, one output.

An MCP server providing tools to extract text from things

ComIDP MCP Server is a lightweight Model Context Protocol (MCP) server designed for seamless integrating ComIDP with AI chatbots, providing unstructured document processing functionalities, such as extracting data from PDF files. The service returns results in structured plain-text format, enabling downstream processing or archival.

ComIDP MCP is a lightweight MCP (Model Context Protocol) server designed for seamless integrating ComIDP with Claude Desktop. It provides unstructured document processing functionalities, such as extracting data from PDF files. The service returns results in structured plain-text format, enabling downstream processing or archival.

MCP (Model Context Protocol) server that enables AI assistants to interact with Storybook design systems. Extract component HTML, analyze styles, and help with design system adoption and refactoring.

A powerful MCP server extension providing web search and content extraction capabilities. Integrates DuckDuckGo search functionality and URL content extraction into your MCP environment, enabling AI assistants to search the web and extract webpage content programmatically.

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MCP server for extracting metadata from Portuguese legal documents using advanced PDF processing and database architecture

A powerful Model Context Protocol (MCP) server that provides an all-in-one solution for public web access.

Model Context Protocol (MCP) Server for Graphlit Platform