Build an MCP Server for Agentic Web Scraping and Real-Time LLM Grounding

Large Language Models (LLMs) operate in a vacuum. To build autonomous agents that perform market research, track public pricing across e-commerce sites, or analyze real estate listings, you must provide them with real-time access to the web. Static Retrieval-Augmented Generation (RAG) is insufficient for data that changes hourly. Agents need the ability to reach out, fetch current pages, and read the contents. The Model Context Protocol (MCP) standardizes how AI models connect to external tools.