MCP: guides & tutorials

Most scraping guides stop at the one-off run. The real leverage is recurring data: the prices, reviews, and listings that change while you are not watching. Cowork's scheduled tasks turn a single scrape into a standing job.

Agent Skills are modular capabilities that extend Claude: each Skill packages instructions, metadata, and optional resources that Claude uses automatically when they are relevant to your request. Instead of re-explaining how you like to scrape every time, you encode it once, and Claude reaches for it on its own.

This guide builds a scraping skill that calls Apify, and points you at the official plugin if you would rather not start from scratch.

Claude Cowork is Anthropic's "hand Claude real work" surface: it runs on the same agentic engine as Claude Code but with no terminal, so it can take on multi-step tasks and finish them for you. Cowork can already search the web and, with computer use, drive a browser a page at a time. What it has no answer for is bulk structured extraction: paginating a result grid, holding a schema across thousands of rows, rotating proxies, and surviving anti-bot defences. That is exactly what Apify adds: a store of pre-built scrapers Cowork can call as tools.

This guide connects the two and turns "get me this web data" into a spreadsheet, with no code.

Create a free Apify account (free monthly credits) →

Model Context Protocol (MCP) servers extend Claude Desktop and Claude Code with live access to external tools: Customer Relationship Management (CRM) data, web scraping, email, spreadsheets, and more. For marketing and sales teams, the right MCP server combination turns Claude into a research assistant, CRM manager, and content producer, all from a chat interface.

This guide covers 10 high-impact MCP servers for non-engineering business functions, with installation instructions and real-world usage examples. If you do not have a Claude account yet, you can try Claude free for a week and set these up the same day.

TL;DR:

Prerequisites:

• Claude Desktop installed (download)
• MCP works on Claude Free with usage limits; Claude Pro (~$20/mo) raises limits for heavier business use
• Budget 15+ minutes per server (OAuth / Google Cloud setup often takes longer than API-key-only servers)

Claude Desktop supports Model Context Protocol (MCP) servers and connectors for both free and paid users. For small teams, this means Claude Desktop is no longer just a chat window. With the right MCP servers it becomes a central operations hub that can read and act on Slack, Google Drive, Notion, CRM tools, and live web data without writing code.

This guide shows how Claude Desktop plus the right MCP servers can substitute for key workflows in five common paid SaaS tools (or significantly reduce your reliance on them), with setup instructions for non-technical teams and honest assessments of where this approach falls short. To be clear up front: MCP lets Claude Desktop work with these tools on your behalf. It does not literally delete every SaaS subscription, and we flag the cases where you still need the original tool.

TL;DR:

Prerequisites:

• Claude Desktop installed (download)
• Claude Free, Pro ($20/mo), or Team ($25/user/mo) subscription. MCP works on Free, but heavy daily use hits the message limits fast, so Pro or higher is realistic for business use. New to Claude? You can try Claude free for a week.
• 15 minutes per MCP server setup
• No app development required. You will edit a JSON (JavaScript Object Notation) config file and run npx commands in your terminal.

The Model Context Protocol (MCP) is the USB-C for AI: a single open standard that connects AI applications to tools, data sources, and workflows. Originated by Anthropic in late 2024 and now an open, community-maintained standard, MCP is supported across a wide range of clients (Claude Desktop and Claude Code, ChatGPT, VS Code, Cursor, and others). The specification covers two transports (local stdio and remote Streamable HTTP, which supersedes the older HTTP+SSE transport), server-side tools, resources, and prompts, and an OAuth 2.1-based authorization flow for remote servers. The public server ecosystem is large and growing fast, spanning official Anthropic servers, vendor servers, and community projects.

If you do not already use Claude, you can try Claude free for a week and follow along with every example in this handbook. The guide covers MCP server development end-to-end, from your first server to production deployment with authentication.

TL;DR:

Prerequisites:

• Node.js 18+ or Python 3.10+
• Claude Desktop or Claude Code installed
• Basic understanding of APIs and JSON

Model Context Protocol (MCP) is an open standard for how an AI host (IDE, desktop assistant, or similar) discovers and calls tools in a separate MCP server over transports such as stdio (local) or HTTP (remote). It is a JSON-RPC bridge that standardizes the boundary where models meet APIs, files, and automation. It does not replace your databases or scrapers. The payoff is one reusable integration surface across MCP-capable hosts, provided you still own auth, timeouts, and least privilege.

Below we split what the spec actually defines from what each vendor ships, sketch how the ecosystem shows up in scraping and data workflows, and outline adoption so a chat session does not become root access. For headline news context, see Top 10 AI and tech stories this week (March 17–24, 2026).

Production “agents” are mostly orchestration: LLM calls, tools, memory/state, retries, and guardrails. Three ecosystems lead in 2026—LangGraph, AutoGen, and CrewAI—each with different ergonomics for web data workloads.

Connect Apify to Claude Desktop via the official MCP server. Claude can run Actors from chat, browse the Apify Store, and read datasets, no code required. You ask; Claude scrapes. If you do not have the app yet, you can try Claude free for a week, then get an Apify account and follow the steps below.

The Model Context Protocol (MCP) is an open standard (originated by Anthropic, now community-governed) for connecting AI assistants like Claude (Desktop and Code), ChatGPT, VS Code, and Cursor to external tools. The ecosystem has grown quickly, with thousands of community-built servers now available. This guide covers the ones that are most useful for developers, with setup instructions and honest notes on when each fits.