Plug and Play AI: Google makes its services instantly agent-ready

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Dear Reader, 👋

What if AI could not only understand your commands but actually think through problems, learn from its mistakes, and conduct hours of research in minutes all while you focus on what matters most?

Flipped.ai's weekly newsletter reaches over 75,000 professionals, innovators, and decision-makers worldwide. This week, we're exploring a revolutionary update from Google that is redefining the boundaries of artificial intelligence. From AI agents that reason and adapt in virtual worlds to research assistants that eliminate information overload, these technologies don't just respond to commands they understand context, solve problems independently, and integrate seamlessly into your workflow.

The era of basic AI assistants is over. This is about intelligence that collaborates, anticipates, and evolves. Let's dive in! 👇

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The 'USB-C for AI' just plugged into Google

With the recent launch of Gemini 3, Google gave us state-of-the-art intelligence. But for that intelligence to truly become your personal agent pursuing goals and solving real world problems it needs to reliably work with tools and data outside its own environment.

The challenge? Connecting an AI model to an external tool has historically been a messy, custom, and fragile process for developers.

Google's solution is a massive win for the future of AI. They have officially announced support for Anthropic's Model Context Protocol (MCP) often called the "USB-C for AI" by launching fully-managed, remote MCP servers.

Why this matters: Moving from fragile connectors to simple plugs

MCP is the open standard that allows AI agents to reliably communicate with tools and data. Before this, developers had to patch together custom connectors, leading to unstable and hard-to-govern systems.

Now, Google is making its entire ecosystem "agent-ready by design."

Instead of weeks of setup, developers can now simply point their AI agents (like Gemini CLI) to a globally-consistent, enterprise-ready URL. This eliminates the operational burden and provides a unified, secure connection layer across all Google and Google Cloud services.

Four game-changing services are now agent-ready

Google is rolling out MCP support incrementally, starting with four key services that give agents real-world power:

The enterprise breakthrough: Governing AI with Apigee

The true enterprise-level play is how Google is extending this capability using Apigee, its API management platform.

Your organization uses custom APIs for specific data flows and business logic. With this new support, Apigee can now "translate" your existing, secure APIs into discoverable MCP tools for your AI agents.

This is critical because it means you can leverage the same established security, governance, and audit policies you use for human-built apps, and apply them directly to your AI agents.

Security is built-in, not bolted on

To bring order to this new agent ecosystem, Google has integrated rigorous controls:

• IAM (Identity and Access Management): Administrators can manage precisely what actions an agent is allowed to take.

• Audit logging: Provides full observability to monitor every agentic interaction.

• Google Cloud Model armor: Acts as an AI firewall to defend against advanced agentic threats like indirect prompt injection and data exfiltration.

This unified approach ensures you can scale agentic AI safely and confidently across your entire organization.

 The road ahead: Your agents will connect to everything

This is just the beginning. Google plans to roll out MCP support to a huge range of additional services in the coming months, including:

• Databases and analytics: Alloy DB, Cloud SQL, Spanner, Looker, Pub/Sub.

• Storage and compute: Cloud Run, Cloud Storage.

• Security: Google Security Operations (SecOps).

By giving agents the best method to connect to the world, Google is freeing developers to focus on what matters most: building the future.

If you want to explore more read this article-Announcing Model Context Protocol (MCP) support for Google services

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