Powering Gemini Enterprise with Apigee APIs | Community TechTalk (Recording)

Google Cloud Apigee Events
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Hello Apigee Community! :waving_hand:

In our latest TechTalk, Nigel Walters (Apigee Customer Engineer) explores how to position Apigee as a centralized governance layer for Gemini Enterprise. He 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. :shield:

:television: Watch the recording

:file_folder: Access the presentation slides here

The Agentic Control Layer :gear:

To securely manage and scale AI agents, your architecture needs to leverage the gateway as an intelligent intermediary. Nigel highlighted three core architectural pillars:

  • Centralized MCP Governance: Using Apigee as an MCP proxy to unify authentication, authorization, and observability for all agentic tool invocations.
    Google for Developers Content Guidance (go/gfd-guidelines)

  • Productizing AI Tools: Leveraging Apigee API Products and new “Payload Operations” to define granular visibility into which MCP tools are available to specific agents.
    Google for Developers Content Guidance (go/gfd-guidelines)

  • Unified Enterprise Context: Connecting Gemini Enterprise apps to Apigee-hosted MCP servers, ensuring agents operate within a curated and secure enterprise environment.
    Google for Developers Content Guidance (go/gfd-guidelines)

Key Takeaways from the Session :light_bulb:

Nigel provided a technical deep dive into making AI integrations enterprise-ready.

He showcased how to propagate end-user identity through the entire chain—from the agent, to the MCP server, and down to the backend API—all without exposing sensitive ID tokens directly to the agent runtime. By using Apigee to transcode between JSON-RPC (MCP) and REST (backend APIs), organizations can enforce tool filtering and authorization (FGA) policies before requests reach the backend. Finally, Nigel demonstrated how API Hub helps catalog these MCP assets, providing a single source of truth to prevent “tool sprawl” across business units.

Google for Developers Content Guidance (go/gfd-guidelines)

Next Steps :chequered_flag:

:thought_balloon: Continue the Conversation: How are you handling identity propagation for your AI agents? Share your architectural patterns or ask Nigel your specific questions in the comments below!

:star: Share Feedback: Help us shape future developer sessions by sharing your thoughts here → Feedback: Apigee Community TechTalks

:telephone_receiver: Explore Further: Ready to architect your enterprise AI strategy? Contact a Google Cloud sales specialist for guidance → Contact Us | Google Cloud

:megaphone: Stay Tuned: Keep an eye on the forum for updates on our upcoming sessions → Google Cloud Apigee Community TechTalks

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Apigee Bytes: June 2026 ☀️
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Per-tool scoping on a managed native MCP server — “Payload Operations” not showing on our API Product

Very helpful talk, thanks! We’ve got per-client tool scoping working on a managed native MCP server (one server, multiple API products so different agents get different tool sets like the demo Scenario 2) — our workaround stores the per-tool allow-list in a product custom attribute and enforces it in the proxy, and that works fine.

We’re just curious about the Payload Operations on the API product, since that looks like the intended mechanism — but our API Product page doesn’t show that section at all, so we couldn’t try it.

Is Payload Operations gated behind something (org type, tier, a setting, a rollout)? And is there a supported way to set/read per-tool MCP scope on an API product programmatically? Happy to share details.

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Payload Operations is now available in our Apigee console. All set!

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