ajdeang

  In today’s fast-growing world of artificial intelligence, Large Language Models (LLMs) like GPT, Claude, and Grok are becoming critical to digital transformation. These models can write human-like text, understand complex questions, and even automate business tasks. As LLMs became smarter, they faced a major problem: managing context. Early versions struggled to maintain consistent conversations, use real-time data, and handle large workloads. To solve this, Model Context Protocol (MCP) Servers were introduced. They help LLMs manage context in a dynamic, secure, and intelligent way.   Early context management of LLMs before MCP Servers Before MCP Servers, most LLMs relied on [...]