90% of MCP servers in production have zero tests. When they fail, companies lose millions. I built mcp-jest after watching a Fortune 500 deployment crash, taking down AI services for 50,000 users. This talk reveals how automated testing transforms MCP from gambling to engineering. Live coding: build a test suite detecting race conditions, memory leaks, and protocol violations in seconds. Watch snapshot testing catch OpenAI's breaking changes before deployment. See how Spotify-style chaos testing found bugs that manual QA missed for months. Case study: team reduced incidents 97% using mcp-jest, saving $2M yearly. From "works on my machine" to "guaranteed production-ready"- master the testing patterns that separate amateur MCP from enterprise-grade AI infrastructure.