"Resources for Learning Web Scraping" matching MCP servers:

Web scraper and token compressor that converts HTML to clean markdown with 70-80% fewer tokens. Single-page compression and multi-page BFS crawling with auto-fallback fetch modes.

LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.

MCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.

Guides users to official WCAG and W3C resources for learning web accessibility, without providing its own explanations.

A learning-oriented MCP server with tools for greeting, self-introduction, and name shouting, built with TypeScript and Zod validation.

An MCP server that generates comprehensive Learning Hour content for Technical Coaches, enabling teams to practice technical excellence through structured deliberate practice sessions.

A learning MCP server that transforms technical topics into four structured parts: definition, analogy, example, and hands-on try-it exercises, enabling beginner-friendly study directly from any MCP client.

A task manager MCP server that demonstrates core MCP concepts (resources, tools, prompts, stdio) and syncs data with a Next.js web app.

Enables AI agents to learn from their work by recording tasks, extracting patterns, detecting mistakes, and proactively surfacing insights, all using the agent's own model through a cooperative intelligence pattern.

An MCP server that gives AI coding assistants durable long-term memory, reusable skills, and evidence-based decision intelligence, running fully offline with no external API keys.

Implements cognitive science-backed interleaved learning techniques to create study plans, generate mixed-topic quizzes, manage flashcard decks, and track learning progress for optimal knowledge retention.

Provides stateful prompt optimization using research-backed techniques like APE and OPRO, learning from historical performance data via a vector database. It enables users to automatically refine prompts, retrieve high-performing examples, and track performance analytics through iterative feedback.

An MCP server that runs Apify scraping actors with quality-gated validation, scoring, and retries, returning embedding-ready chunks for AI agents.

Provides web search and content extraction tools for AI assistants, with zero configuration and swappable backends.

Enables live website health checks including TLS, HTTPS, and security headers, returning an A-F grade with specific fixes.

Enables Claude and other LLMs to read and parse web content, with smart fallback strategies to bypass access restrictions (e.g., paywalls, Cloudflare) and output Markdown.

A comprehensive web scraping server that transforms web content into clean, agent-ready Markdown with automatic citations and efficient caching. It features a robust suite of tools for metadata extraction, sentiment analysis, SEO auditing, and security scanning while strictly adhering to robots.txt policies.

Provides web search and page fetch tools for LLM assistants, extracting content and enabling text search within fetched pages.

Enables web research through multi-provider search, documentation lookup, public code search, and clean Markdown extraction from static or JavaScript-rendered pages via five read-only tools.

Web search API for AI agents. Returns structured results with title, URL, and snippet; pay-per-call via x402 micropayments.