MCP (Model Context Protocol) is quickly becoming the way to connect AI with real tools, services, and workflows—turning prompts into powerful, action-driven systems. At GK Software, we plugged MCP into our Java development pipeline to automate workflows, orchestrate services, and boost developer productivity. Sounds great… until production happens Once we shipped, things got messy: unpredictable tool calls, latency spikes️, fragile integrations, and zero visibility into what was going on. Not theory—real failures impacting reliability and trust. In this talk, we’ll share what actually broke and how we fixed it. From guardrails and retries to observability and resilience patterns, we built a survival guide to make MCP systems stable and predictable. If you're moving from demo to prod, this is the reality check (and playbook) you need.

Session Speakers

Kai Nitsch

Senior Developer at GK Software