"Web login and content scraping tutorial" matching MCP servers:

Enables fetching any public web page through managed proxies, with optional JavaScript rendering, returning markdown, text, HTML, or structured JSON.

Enables AI assistants to fetch public web pages as readable text or HTML, with caching, live refresh, and parallel job handling.

Enables AI agents to access authenticated websites by reusing your existing browser profile and cookies, so you never share passwords and sessions persist between runs.

Enables agents to reuse a human-completed Chrome login session to open confirmed origins, read visible page text, and perform single click, fill, or key press actions without ever handling passwords or exposing cookies.

Enables AI agents to extract clean, structured web content (articles, tables, links, visual layouts) optimized for LLM token efficiency, with fast response times and optional JavaScript support.

Enables AI agents to read any web page as clean Markdown and inspect its metadata, structure and technology stack, plus check redirects, TLS certificates, security headers, robots.txt, sitemaps, feeds, domains, SEO, broken links, email authentication (SPF/DMARC/DKIM) and SSO (SAML/OIDC). It also provides developer utilities such as cron, regex, color, Unicode and time-zone tools along with Hyperliquid perpetuals market data, all hosted remotely on Apify with pay-per-call pricing.

Enables querying current weather information for cities through natural language, with support for both stdio and streamable HTTP transports.

A minimal MCP server that exposes two tools, enabling language models to discover and call them via MCP.

MCP server providing weather forecast and geocoding tools using Open-Meteo API, with examples of basic and agent-based clients.

Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses.

Enables retrieval and cleaning of official documentation content for popular AI/Python libraries (uv, langchain, openai, llama-index) through web scraping and LLM-powered content extraction. Uses Serper API for search and Groq API to clean HTML into readable text with source attribution.

MCP server for content-studio, enabling AI agents to manage content ideas, channels, personas, and drafts with approval-based edits.

A demonstration server showing MCP implementation in Python with resource handling, tool operations, and reusable prompts for a simple user/post system with local database.

Enables running the lead scoring and outbound pipeline by talking to Claude, including scraping healthcare job postings, scoring against buyer ICP, gating on company size, and managing sequences.

A basic MCP server demonstrating tool registration and SSE transport, enabling AI clients to call greeting, arithmetic, and time tools.

AutomateLab Content Distribution publishes content across DEV.to, Hashnode, GitHub Discussions, Reddit and Bluesky, with browser workflows for LinkedIn, Medium and X. Tracks publishing state and adapts content per platform. Product and documentation: https://automatelab.tech/products/mcp/content-distribution-mcp/

Provides AI agents with structured short-form content mechanics including hooks, script structures, retention strategies, and CTAs, along with auditing tools to avoid common posting failures.

SERP-based content scoring and optimization with 7 SEO categories.

Enables interaction with Prismic through tools for reading documents, managing media assets, and performing content migrations or updates. Supports the Prismic Content, Asset, Migration, and Custom Types APIs with secure write operations and multi-transport support.

Maps any source asset (e.g., long video, podcast, blog) to all platform formats (TikTok, Reels, Shorts, etc.) with per-platform adaptation rules, enabling a 'film-once-cut-many' content workflow.