MCP Dev Summit North America

While frontier models achieve impressive scores on benchmarks like MCP Atlas (62.3%) and SWE-bench (62.1%), these metrics don't answer the critical question: "Will this agent work for OUR specific use-case?"This talk presents a practical framework for building custom agent evaluation systems tailored to your organization's needs. We'll cover the complete lifecycle: data collection and categorization, open-source instrumentation patterns, and production monitoring for long-term performance tracking. You'll learn to construct evaluation datasets reflecting actual workloads, implement testing harnesses mirroring production constraints, and establish monitoring pipelines that catch degradations early.We'll demonstrate techniques for measuring agent reliability across accuracy, latency, cost, and safety dimensions while accounting for real-world variables: prompt engineering, data quality, MCP tool availability, and model selection. Attendees will leave with actionable strategies to build confidence in production deployments and create feedback loops for continuous improvement.