Struggling to scale AI tooling across diverse platforms without vendor lock-in? Discover how spec-driven MCP capabilities transform static API registries into dynamic, runtime-ready AI tools that expose REST, MCP, and Agent Skills interfaces. This comprehensive guide covers architecture blueprints, real-world case studies, and actionable checklists to help developers and platform engineers build portable, scalable AI-native tooling that enhances agent accuracy, automates workflows, and accelerates deployment velocity while ensuring compliance and observability.