# Content Extraction

The MCP Deep Web Research Server is an advanced web research tool based on the Model Context Protocol, providing intelligent search queues, enhanced content extraction, and in - depth research capabilities, and can integrate real - time information into Claude.

MCP Video Digest is a video content processing service that supports extracting audio from multiple platforms and converting it into text, providing multiple transcription service options.

An in - depth research MCP server that combines Brave Search and Puppeteer web scraping, capable of extracting full web page content and exploring linked pages.

A web research MCP server designed for Claude, integrating Google Search and web content extraction functions.

PDF Content Extraction Service

The Firecrawl MCP Server is a Model Context Protocol server integrating Firecrawl's web - scraping capabilities, providing rich web - scraping, searching, and content - extraction functions.

This project is a Python implementation based on the Mozilla Readability algorithm, providing web page content extraction and conversion services through the MCP protocol, converting web page content into Markdown format suitable for LLM processing.

The Tavily MCP Server is an open-source tool based on the Model Context Protocol (MCP), providing real-time web search and web content extraction functions for AI assistants such as Claude.

An MCP server based on the crawl4ai library, providing web page crawling and intelligent content extraction functions, supporting AI agents to interact with web pages through natural language instructions.

The Webtools MCP Server is a web page analysis tool server based on Node.js. It provides functions such as HTML extraction, Markdown conversion, screenshot capture, debug console, performance analysis, and Lighthouse website audit, and supports testing under multiple device and network conditions.

A Python-based MCP web crawler project for extracting and saving website content as Markdown files, supporting batch processing and multi-threaded configuration.

An MCP service based on Playwright for scraping web content and converting it to Markdown

An MCP server implementation integrating the Tavily search API, providing optimized search capabilities for LLMs, supporting web search, content extraction, domain name filtering and other functions.

A local web search server based on the MCP protocol, providing web content search and extraction functions.

An MCP server based on Python that uses the Mozilla Readability algorithm to extract web page content and convert it into an optimized Markdown format, suitable for LLM processing.

A TypeScript - based MCP server that provides web content scraping capabilities

An MCP server based on the Google Custom Search API, providing web search and content extraction functions

A local web search server based on the MCP protocol that provides functions for web page content search, extraction, and processing, and supports result limitation, domain filtering, and content truncation.

An MCP server for real-time web research, integrating Google Search, web content extraction, research session tracking, and screenshot functions to help Claude access real-time network information.

A web crawling service based on the MCP protocol, providing web page content extraction functions for AI assistants, supporting bypassing anti - crawler mechanisms and returning formatted text.

The Spiral MCP Server provides a standardized interface for the Spiral API, supporting text generation, file processing, and webpage content extraction functions.

An MCP tool that enables Google search and web content extraction through the Chrome browser, integrated with Claude to enhance search capabilities

DuckDuckGo Search MCP is a fast, privacy-friendly Model Context Protocol (MCP) server based on DuckDuckGo, providing web search and URL content extraction functions and being compatible with multiple AI providers.

A server that provides web browsing capabilities for AI applications, supporting intelligent content extraction and structured data capture

Fetcher MCP is an MCP server based on the Playwright headless browser, specifically designed for fetching web page content. It supports JavaScript execution, intelligent content extraction, parallel processing, and multi-format output, and is suitable for handling dynamic web pages and batch fetching tasks.

WebSearch is an advanced web search and content extraction tool based on Python and the Firecrawl API, providing functions such as intelligent search, content scraping, and web crawling, and supporting MCP protocol integration.

Firecrawl MCP Server is a model context protocol server that integrates Firecrawl's web crawling capabilities, providing functions such as web scraping, crawling, searching, content extraction, and in - depth research, and supporting features such as JavaScript rendering, URL discovery, batch processing, and automatic retry.

An MCP server implemented for the RAG Web Browser Actor, supporting AI agents to perform web searches and content extraction.

An MCP server tool for obtaining web page content and supporting recursive exploration

An enhanced MCP server tool that provides web content scraping and CSS selector functions, can convert HTML to Markdown, and supports precise content extraction by element.