MCP Dev Summit Seoul 2026

Despite growing investment in AI, most enterprises still struggle to convert adoption into measurable business results. This session breaks down the structural root causes behind that execution gap and the operational risks created as AI agents proliferate across the organization. We'll then introduce Enterprise MCP, a governance and control framework built for enterprise-level AI oversight, covering how to design performance measurement systems and take a practical approach to agent-based automation that scales safely.

Connecting AI agents and exchanging data is only the first step toward enterprise adoption. True interoperability requires common approaches for identity, authorization, governance, observability, and communication across heterogeneous systems built by different vendors.
This keynote explores the broader industry challenge of building interoperable agent ecosystems and presents AWS’s experience supporting multi-agent collaboration across both the Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication models. The session will discuss architectural patterns and enterprise considerations for enabling secure, scalable, and interoperable AI agents built on open standards, while sharing practical lessons learned from real-world deployments.
Attendees will gain practical insights into the future of interoperable AI agent infrastructure, the role of open standards in accelerating enterprise AI adoption, and the architectural foundations needed to build secure, scalable, and production-ready agent ecosystems.