The MCP ecosystem is evolving at lightning speed, but that velocity creates a nightmare for developers: production AI agents that crash when a server renames a single parameter. This episode explores the fundamental tension between server evolution and client stability, diving into how MCP discovery works, why traditional API versioning doesn't apply, and the patterns for building resilient integrations. Learn about schema-aware client adapters, dynamic discovery with retry logic, and how GenUI could decouple server changes from client code. Whether you're building AI agents or integrating third-party tools, this conversation reveals why the "plumbing" between LLMs and tools is more brittle than you think—and how to fix it.