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How Context-Aware Agents and Open Protocols Drive Real-World Success in Enterprise AI

Enterprise AI is shifting from experimental LLM pilots to production deployments that require real‑time operational context. General‑purpose models lack domain‑specific data, prompting firms to adopt small, specialized language models (SLMs) for cost‑effective, on‑premise inference. The Model Context Protocol (MCP), an open standard donated to the Linux Foundation, provides a uniform, secure interface for AI agents to access telemetry, workflows, and governance controls. Combining SLMs, larger LLMs for complex reasoning, and MCP enables trustworthy, context‑aware automation across IT and e‑commerce operations.