AGNTCon + MCPCon Japan 2026

A production issue spans multiple cloud environments. Everything looks fine in isolation, but the system behaves unexpectedly end-to-end. Reconstructing what is actually deployed requires stitching together cloud consoles, infrastructure definitions, and internal tooling.

AI agents could help with this kind of problem, but they need better context. Infrastructure is a key part of that context gap. Cloud resources, environments, configurations, and policies are essential for reasoning and decision-making, yet this information is fragmented across infrastructure-as-code, cloud providers, and internal systems.

This talk explores why a developer platform was built: to unify infrastructure management, standardize how teams provision and manage cloud resources, and provide a consistent abstraction across providers, accounts, and environments. The platform then evolves into a unified source of infrastructure context, aggregating metadata into a coherent infrastructure blueprint. By exposing this through an MCP server, it allows AI agents to understand the full infrastructure landscape, improving reasoning, troubleshooting, and the quality of assistance in engineering workflows.