The Crawl4AI RAG MCP Server is an AI agent service integrating web crawler and RAG functions, supporting smart URL detection, recursive crawling, parallel processing, and vector search. It aims to provide powerful knowledge acquisition and retrieval capabilities for AI coding assistants.

PodCrawlerMCP is an MCP service that discovers podcast content through web crawlers, helping AI assistants find podcast shows and episodes based on topics.

WebSearch-MCP is a service that implements the Model Context Protocol (MCP). It provides web search capabilities by integrating the WebSearch Crawler API and supports multiple AI clients to obtain web information in real-time.

Deployment Guide for Web Crawler MCP Server

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

A website security scanning tool based on the MCP protocol, integrating dirsearch directory scanning and firecrawl crawler technology, capable of automatically identifying the website technology stack and classifying vulnerability risk levels

An MCP service that connects the Claude desktop version with the local eGet web crawler, enabling the function of scraping web page content through the local API

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.

MCP Smart Crawler is a web content crawler based on Playwright, specifically used to extract metadata from Xiaohongshu posts and download media resources.

Dafty MCP is an independently developed open - source project that interacts with Daft.ie through web crawlers, providing functions for searching and querying details of rental information in Ireland.

A compliance risk assessment tool for website crawlers based on the MCP protocol, which provides risk detection from three dimensions: legal, social ethical, and technical, helping developers evaluate the crawler friendliness and potential risks of target websites.

Crawl4AI is an intelligent web crawler server based on the MCP architecture. It combines the Claude AI model to provide website content analysis and processing functions, supports customizable crawling depth and AI processing tasks, and is suitable for various scenarios such as research, content creation, and data analysis.

An MCP server that provides Google Search and web content viewing functions, with advanced anti - crawler evasion technology

mcp - server - webcrawl is an advanced web crawler data search and retrieval tool designed specifically for AI clients. It supports multiple crawler formats (such as WARC, wget, etc.), provides full - text search, Boolean logic queries, and resource type/status filtering functions. It can be seamlessly integrated with Claude Desktop, is installed via Python, and is suitable for tasks such as building website knowledge bases or conducting SEO/performance audits.

A pure crawler - based web search MCP service based on Node.js, supporting Bing web page and news searches without an official API, providing high - performance crawling and health monitoring functions.

An MCP server for spider crawler interaction and automation, providing web page scraping and crawling tools, currently in the early development stage.

The Crawl4AI MCP Server is a Python-based web crawler project that integrates Playwright browser automation, the DuckDuckGo search engine, and the MCP protocol SDK for intelligent web data collection.

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.

A financial data crawler tool based on Playwright, supporting multi - website queries and the MCP protocol, providing table data crawling and large language model calling functions.

This project is a Node.js - based MCP server crawler tool used to scrape and extract MCP server information from the glama.ai website. Users need to install dependencies first, run the crawler script to get server links, and then extract detailed data through the processing script.

An AI-based web crawler project that provides MCP services

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.

Ultra-MCP-Servers is an open-source project that enables users to create and manage their own Model Context Protocol (MCP) servers. It offers a variety of tool and service integrations, such as YouTube transcription, cloud storage, web crawlers, etc., and encourages community contributions.

A web search MCP service based on pure crawler technology, supports Bing web and news searches, does not require an official API, and includes intelligent anti - detection and URL cleaning functions.