Cruising the AI Highway - Standardized MCP Deployment and Governance With Backstage

Learn how to standardize AI infrastructure deployment and governance at scale through this 25-minute conference talk from CNCF. Discover Toyota Connected's innovative approach to managing Model Context Protocol (MCP) servers that enable AI systems to interact with tools and resources across cloud native environments. Explore the development of a software scaffolder that empowers teams to self-serve standardized MCP server deployments, eliminating manual configuration overhead while maintaining consistency. Examine the custom Backstage plugin that provides centralized visibility into MCP servers within the Backstage Catalog, displaying available tools and monitoring approval statuses for enhanced governance. Understand how this solution addresses the critical challenge of operationalizing AI workflows at enterprise scale while ensuring compliance and collaboration across development teams. Gain practical insights into integrating AI infrastructure with CNCF tools and Backstage, including real-world implementation strategies and lessons learned from Toyota Connected's deployment. Master the concepts of MCP server architecture, self-service deployment patterns, and centralized governance models that enable organizations to effectively scale their AI-backed tooling initiatives within cloud native ecosystems.