"MCP Server Growth Analysis" matching MCP servers:

Web extraction MCP server for AI agents. Extract structured data from any URL with built-in Cloudflare bypass, JavaScript rendering, and intelligent parsing. Returns clean markdown or JSON.

A fast, dependency-light MCP server that converts web pages into clean Markdown, structured metadata, and classified links for language models.

Model Context Protocol (MCP) server for web content fetching and extraction. Enables fetching webpages, extracting clean content using Trafilatura, discovering links, and batch fetching up to 10 URLs.

Allows AI agents to run, inspect, and create Scrapeer visual web-scraping flows, bridging human-designed browser automation with agent-driven execution.

Enables AI assistants to scrape pages, batch-process URLs, and crawl entire websites with AI-powered extraction.

Gives AI agents real-time web access with JS rendering, captcha solving, and geo-targeting via the Massive Web Render API.

Use 3,000+ pre-built cloud tools from Apify, known as Actors, to extract data from websites, e-commerce, social media, search engines, maps, and more

Self-hosted SearXNG metasearch for MCP clients: web, image, news, video, music and page fetch.

Web Content Retrieval (full webpage, filtered content, or Markdown-converted), Custom User-Agent, Multi-HTTP Method Support (GET/POST/PUT/DELETE/PATCH), LLM-Controlled Request Headers, LLM-Accessible Response Headers, and more.

A secure MCP server for fetching web content for agents, with provably correct SSRF protection against edge cases, redirects, and DNS rebinding.

An MCP server that enables AI assistants to fetch web content in multiple formats (HTML, JSON, text, Markdown) with intelligent content extraction, chunk management, and browser automation support.

Integrates Firecrawl for web scraping, crawling, search, and content extraction capabilities. Supports single/batch scraping, URL discovery, structured data extraction, deep research, and AI-powered web analysis with automatic retries and rate limiting.

Enables MCP clients like Claude Code to run web searches through the Brave Search API using a single web_search tool, with configurable query parameters and plain-text formatted results.

TypeScript implementation of an MCP server that provides tools for web crawling, content extraction, and browser automation, enabling AI systems to access and process web content through 15 specialized tools.

Integrates Firecrawl web scraping capabilities, enabling web content extraction, crawling, site mapping, search, and structured data extraction with automatic rate limiting and retry handling.

Enables AI agents to interact with Charles Proxy for HTTP traffic analysis, supporting incremental harvest, checkpoint timelines, and rich filtering tools.

Enables SEO auditing and site analysis by crawling websites, identifying issues, and generating reports like sitemaps and markdown exports.

A Model Context Protocol server that provides web content fetching and conversion capabilities.

An undetected browser automation MCP server powered by nodriver, enabling AI agents to browse, scrape, and automate Chrome while evading anti-bot detection like Cloudflare. It offers 57 tools for navigation, snapshots, screenshots, session management, and more, with one-command setup for major MCP clients.

Enables AI models to search, fetch, and read Reddit content with resilient rate-limit handling and smart comment filtering, including zero-config fallback to alternative sources.