The Model Context Protocol (MCP) is a new standard for organizing contextual data used by Large Language Models (LLMs). Instead of relying only on plain prompts, MCP structures key information—like user identity, goals, memory, and tools—so models can act more consistently across sessions, apps, and environments. By encoding context in a formal way, MCP makes it easier to integrate LLMs into intelligent, tool-aware workflows. In this article, we’ll take you through the steps of running a sample ......