Powering Gemini Enterprise with Apigee APIs

In this TechTalk, Apigee Customer Engineer Nigel Walters explores how to position Apigee as a centralized control layer for Gemini Enterprise. Nigel demonstrates how to treat MCP traffic as first-class API traffic, leveraging Apigee to govern tool exposure, enforce quotas, and provide a unified view of your agentic infrastructure. You’ll see a live demonstration of how to productize MCP servers, allowing you to curate exactly which capabilities are exposed to specific agents while maintaining full observability. Key Highlights: MCP Governance & Control: Using Apigee as an MCP proxy to centralize governance, authentication, and authorization for all agentic tool invocations. Productizing AI Tools: Leveraging Apigee API Products and the new "Payload Operations" capabilities to define granular visibility into your MCP tool registry. Gemini Enterprise Integration: How to connect vanilla Gemini Enterprise apps to Apigee-hosted MCP servers, ensuring that your agents operate within a curated enterprise context. Visibility & Auditability: Using Apigee API Hub to catalog your MCP assets, preventing "tool sprawl" and ensuring a single source of truth for AI-enabled capabilities. Hybrid & Multi-Cloud Agentic Architecture: Strategies for deploying these controls regardless of where your agentic platform is hosted, maintaining a consistent security posture. Next Steps: Explore the Samples: Check out the GitHub repository for AI and MCP tooling samples shared by our team: https://github.com/gcp-samples/ai-gat... Join the Conversation: Have more questions about MCP or Agentic Gateways? Keep the discussion going on the Apigee Community forum: https://goo.gle/ApigeeCommunity Scale your AI Initiatives: Ready to architect your enterprise AI strategy? Contact a Google Cloud sales specialist for guidance 👉🏼 https://goo.gle/3SlNJtz Stay Informed: Check out our upcoming Community TechTalk sessions and register for future events 👉🏼 https://goo.gle/madinapitalks