Google is rolling out managed MCP servers to make its services “agent-ready by design,” starting with Maps and BigQuery, ...

Google now supports MCP and offers managed servers for Maps, BigQuery, and other services. This allows developers to connect ...

The two other new MCP servers will help companies manage their Google Cloud environments. The first allows AI agents to ...

Google Cloud expanded support for agentic AI standard model context protocol (MCP) to all Google and Google Cloud services ...

Google has taken a major step toward making its cloud ecosystem fully ready for autonomous AI agents. The company has rolled ...

Fetch.ai has partnered with Google Cloud to expand its Agentverse platform, enabling broader access to multi-agent ...

Overview:  Google AI Studio removes guesswork from Gemini API setup. Prompt testing, safety controls, and code export in one place speed up real developmen ...

Google is launching managed, remote MCP servers to simplify the integration of AI agents with its tools and services, including Maps and BigQuery.

MCP is still evolving, but it is an important step in addressing the interoperability of multi-agent architectures in ...

TPUv7 offers a viable alternative to the GPU-centric AI stack has already arrived — one with real implications for the economics and architecture of frontier-scale training.

The company, which is now being acquired by Google in a $32 billion deal, has over 30 enterprise customers in India across ...

Google launches managed MCP servers that let AI agents securely access Maps, BigQuery, Compute and Kubernetes services.