# Content Extraction

The Olostep MCP Server is an MCP server implementation integrating Olostep services, providing functions such as web content extraction, search engine result retrieval, and website URL discovery, and supporting multi - country request routing and JavaScript rendering waiting.

A DuckDuckGo search plugin designed for Claude Code, providing functions such as web search, result detail acquisition, and related search suggestions, supporting advanced filtering and content exploration.

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.

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

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.

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.

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.

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

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

A web research service designed for Claude, integrating Google Search and content extraction functions

Scraper.is MCP is a web scraping tool integration package based on the Model Context Protocol, enabling AI assistants to access the latest web content through the MCP protocol.

Fetch MCP is a server that provides web content scraping functionality, supporting the retrieval of content in HTML, JSON, plain text, and Markdown formats.

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.

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.

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

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

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.

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

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

The MCP Deep Web Research Server is an advanced web research tool based on Node.js, providing intelligent search queues, enhanced content extraction, and in-depth research capabilities, and can be integrated into the Claude desktop application.

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

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

An MCP server that provides web content retrieval and format conversion

The XFetch MCP Server is an enhanced web content retrieval service designed for LLMs. It can bypass security protections such as Cloudflare, support JavaScript rendering and precise content extraction, and provide Markdown conversion functionality.

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