MCP Server Playbook: Build Scalable Scraping & Automation Workflows

This playbook will walk you through building powerful, scalable MCP servers using real open-source tools like Scrapy, Trafilatura, and Automatisch — all with a clear checklist that guarantees results. You'll learn how to integrate local LLMs, build custom scrapers, and automate workflows without reinventing the wheel. An MCP (Model Control Protocol) server is a communication layer between AI models and external tools or data sources. It allows agents to interact with APIs, databases, web scrapers, automation platforms, and more — all via standardized protocols. - **Scrapy** for large-scale structured scraping (BSD-3-Clause). - **Trafilatura** for fast HTML parsing & extraction (Apache-2.0/GPLv3). - **ScrapeGraphAI** for graph-based scraping with AI-driven schema inference (MIT).