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How MCP Can Be Used to Build Scalable, Secure, Cloud-Native Agentic Systems on AWS, Azure, and GCP
As enterprises adopt agentic AI, the need for scalable, secure, cloud-native architectures becomes critical. This session explores how the Model Context Protocol (MCP) enables agents to reliably connect with cloud services across AWS, Azure, and GCP using a unified, open standard. Attendees will learn architecture patterns for deploying agents on serverless runtimes and container platforms, strategies for scaling multi-agent workflows, and methods to enforce enterprise-grade security using IAM, secret management, VPC networking, and policy controls. The talk also covers best practices for integrating MCP agents with databases, storage, monitoring, and enterprise APIs, along with techniques for cost optimization and observability. By the end, participants will understand how MCP simplifies interoperability and provides a foundation for building robust, production-ready agentic systems across multi-cloud environments.
