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As Large Language Models (LLMs) become more deeply embedded in business workflows, one persistent limitation remains: their inability to access real-time, external context. Relying solely on training data leaves models outdated, often resulting in incomplete or inaccurate outputs. That’s where the Model Context Protocol (MCP) steps in. Developed by