The Apify MCP Server is a service that implements the Model Context Protocol (MCP), allowing AI assistants to interact with various Actors on the Apify platform through SSE or Stdio to perform tasks such as data scraping and web search.

Hyperbrowser's MCP server provides web scraping, structured data extraction, and browser proxy tools.

The Scrapezy MCP Server is a service that enables AI models to extract structured data from websites and supports data scraping through tools such as Claude.

Scrapezy MCP Server is an AI model service for extracting structured data from websites, supporting data scraping through tools such as Claude.

Scraper.is MCP is a web scraping tool designed for AI assistants. It is integrated through the Model Context Protocol, supporting content extraction, screenshot capture from any website, and returning data in multiple formats.

The Dumpling AI MCP Server is a model context protocol server integrating multiple AI functions, providing capabilities such as data scraping, content processing, knowledge management, AI agents, and code execution.

An OSINT tool that uses Serper to perform Google searches to collect LinkedIn employee lists

The Firecrawl MCP Server is a web crawler and data extraction service based on the Firecrawl API, providing functions such as web page scraping, content search, site crawling, and structured data extraction.

An AI research assistant tool based on Node.js and the Gemini API. It uses Firecrawl for web data scraping, leverages the Gemini large - model for in - depth language understanding and report generation, supports iterative in - depth research, and can be integrated with the MCP protocol.

The Crawl4AI MCP Server is a high-performance Model Context Protocol server that provides web scraping, crawling, and in-depth research functions for AI assistants. It is deployed via CloudFlare Workers and supports OAuth authentication and structured data extraction.

A Weibo data scraping server based on the MCP protocol

The MCP web page timestamp extraction service is a powerful tool for extracting creation, modification, and publication timestamps from web pages. It supports multiple data sources and batch processing, and is suitable for web scraping and content time analysis.

An MCP server that provides web page content scraping and conversion functions, supporting multiple formats and rendering methods. It is suitable for tasks from simple data extraction to complex web page scraping.

The Dumpling AI MCP Server is a model context protocol service integrating multiple functions, providing capabilities such as data scraping, content processing, knowledge management, AI agents, and code execution, and supporting a rich set of API interfaces and tools.

AnyCrawl MCP Server is a web crawling and scraping server based on the Model Context Protocol (MCP), supporting single - page scraping, website crawling, and search engine integration, and providing multiple output formats and engine options.

This project is a collection of localized MCP servers used to extend the functionality of the Claude desktop application. It includes services such as weather query and LinkedIn profile scraping, and supports autonomous data control and processing.

A comprehensive MCP protocol server that offers advanced functions such as web scraping, data analysis, system monitoring, file operations, API integration, and report generation. It supports seamless integration with MCP clients like Claude Desktop.

A LinkedIn profile scraping project based on FastMCP and httpx, which asynchronously fetches data through RapidAPI and can optionally include information such as skills and certifications.

The Firecrawl MCP Server is a web crawler service based on the Firecrawl API, providing functions such as web scraping, content search, site crawling, and structured data extraction, and supporting multiple configuration options and output formats.

An experimental weather information scraping project based on the MCP protocol, using OpenAI's lightweight LLM and FastAPI to obtain and structure real-time weather data from open web sources, exploring the ability of LLM as an intelligent agent to process unstructured web data.

A website data scraping and structured extraction service based on the Firecrawl API

The Scrappey MCP server builds a bridge between AI models and the Scrappey web automation platform, providing functions such as session management, HTTP request sending, and browser operations.

The Data MCP Server is a toolset that provides web page scraping, structured data extraction, and crawling functions, and also supports multiple browser proxy tools such as OpenAI CUA and Claude Computer Use.

A multi - language package documentation fetching MCP service that does not require an API key, supports documentation scraping and analysis for multiple programming languages from JavaScript to Swift, and provides structured data support for LLMs.

This project is a LinkedIn profile scraping MCP server that fetches LinkedIn profile information through the Fresh LinkedIn Profile Data API and returns it in JSON format. It supports asynchronous HTTP requests and environment variable configuration, and requires a RapidAPI key for authentication.

The Model Context Protocol (MCP) Server is a modular server that supports various context - aware tasks. Currently, it includes research and web scraping functions, and is suitable for projects that require automated research or real - time data extraction.

This project implements two MCP servers for LinkedIn profile scraping and weather data retrieval, supporting seamless integration and communication of AI services.

Olostep MCP Server is a protocol server integrating web page scraping, content extraction, and search functions, supporting the acquisition of structured data from Google searches, tokenized extraction of web page content, and website URL discovery.