Brief

A new tutorial details how to build a Model Context Protocol (MCP) server to provide AI agents with real-time web access. This setup wraps the AlterLab web scraping API, enabling agents to fetch live content and bypass anti-bot measures. By exposing web scraping as a tool within the MCP framework, AI agents can dynamically access current information from websites, overcoming limitations of static training data. AI

Developers can improve local LLM performance by converting raw HTML web data into token-efficient formats like Markdown or JSON before feeding it into the model. This process bypasses the inefficiencies of raw HTML, which can exhaust context windows and slow down inference. By using specialized extraction APIs, developers can ensure cleaner, more structured data reaches models such as Llama 3 or Mistral, reducing hallucinations and accelerating processing. AI