MCP server for SEO auditing — 105+ criteria Technical + UI analysis for Claude Desktop
Fetch and extract web page content.
MCP server for SEO auditing — 105+ criteria Technical + UI analysis for Claude Desktop
MCP servers exposing SeleniumBase as tools for MCP clients.
Web search via SearXNG and/or You.com, plus clean Markdown crawling via Crawl4AI. Self-hosted.
🔍 High-Availability Multi-Engine Search Aggregation MCP Server with Enhanced Proxy Auto-Detection
Headless Screaming Frog SEO Spider via its CLI: run crawls, export and filter data, no GUI needed.
Drive the Screaming Frog SEO Spider from any MCP client: headless crawls, a ranked issue register, derived analysis and a shareable report.
Headless web-scraping MCP server built on Scrapy: fetch, extract (CSS/XPath), links, tables, sitemaps, robots, and async crawls.
MCP server for Scraping — REST API wrapper for LLM agents.
ScraperAPI MCP server
MCP server unifying web-search and scraping providers behind a few agent tools
MCP server for the scrapedatshi RAG pipeline API — use scrapedatshi tools directly from Claude Desktop
Twitter/X scraping for AI agents: profiles, tweets, followers, trends, lists and communities.
中化采购平台公告抓取 MCP 服务
MCP server for AVC course scheduling and registration analysis with web scraping, prerequisite validation, and schedule optimization
MCP server for LinkedIn profile, company, and job scraping with Claude AI integration. Supports direct profile/company/job URL scraping with secure credential storage.
A Model Context Protocol Server for Reddit — browse, search, and read Reddit from any MCP client, with or without Reddit API credentials.
A Model Context Protocol (MCP) server for web scraping using Crawl4AI
Revolutionary Model Context Protocol (MCP) server for PyDoll browser automation with zero-webdriver operation and intelligent captcha bypass
ProxyClaw MCP Server — MCP tools for residential proxy fetching, browser rendering, and structured web extraction
PowerSearch MCP helps AI agents search and retrieve content from the public web with fewer broken fetches and clean, AI-friendly outputs ready to cite.