What is Google's new solution for connecting AI agents?

Google has launched managed Model Context Protocol (MCP) servers to simplify connecting AI agents to its Cloud services.

How does Google's MCP help AI agents with data?

MCP servers ground AI agents on actual, up-to-date information, such as real-time location data from Google Maps, improving planning and responses.

What is Model Context Protocol (MCP)?

MCP is an open-source standard developed by Anthropic to connect AI systems with data and tools, now adopted by Google.

Home / Technology / Google Connects AI Agents to Real-World Data

Google Connects AI Agents to Real-World Data

10 Dec

•

Summary

Google's new managed MCP servers simplify AI agent integration with Cloud services.
Developers can now connect AI agents to Google Maps and BigQuery with ease.
This aims to enhance AI agent reasoning with real-world, up-to-date information.

Google Connects AI Agents to Real-World Data

Google is introducing managed Model Context Protocol (MCP) servers designed to streamline the integration of AI agents with its cloud services. This new offering aims to resolve the past difficulties developers faced in connecting AI chat interfaces to external tools and data. The MCP servers will initially support services like Google Maps, BigQuery, Compute Engine, and Kubernetes Engine, allowing AI agents to interact with real-world, up-to-date information more effectively.

Previously, developers relied on patching together connectors, a fragile and difficult-to-scale approach. Google's new solution enables developers to connect agents by simply pasting a URL to a managed endpoint, significantly reducing setup time. This initiative, following the launch of the Gemini 3 model, focuses on pairing enhanced AI reasoning with dependable access to real-world tools and data, making Google's services 'agent-ready by design'.