Is MCP dead? When to use MCP for enterprise AI

This post clarifies the enterprise value proposition of the Model Context Protocol (MCP) by distinguishing between local, single-user workflows and company-scale AI deployments. It argues that for enterprises, MCP serves as a crucial platform layer for centralized auth and secrets management, org-wide telemetry and observability, standardized prompts/skills and docs across surfaces, and a single integration surface for multiple hosts. It highlights that MCP enables AI to be run as a governed, observable service for thousands of people, contrasting this with simpler CLI or ad-hoc wrapper solutions suitable for individual developers. The post emphasizes that MCP's value lies in its ability to provide a common contract between AI hosts and tools, manage auth and policy centrally, and deliver skills and docs consistently across various AI surfaces.