Google Cloud has moved to industrialize the agentic web, launching fully managed Model Context Protocol (MCP) servers for its core services including Maps, BigQuery, and Google Kubernetes Engine (GKE) ...

Google LLC today introduced managed MCP servers that will enable artificial intelligence agents to interact with four of its cloud services. Until recently, giving AI agents access to an application ...

AI agents are being sold as the solution for planning trips, answering business questions, and solving problems of all kinds, but getting them to work with tools and data outside their chat interfaces ...

Posts from this topic will be added to your daily email digest and your homepage feed. is The Verge’s senior AI reporter. An AI beat reporter for more than five years, her work has also appeared in ...

Today’s AI coding agents are impressive. They can generate complex multi-line blocks of code, refactor according to internal style, explain their reasoning in plain English, and more. However, AI ...

Anthropic’s model context protocol (MCP), the ‘plug-and-play bridge for LLMs and AI agents’ to connect with external tools, has received a major update one year after its launch. The developer of ...

As agentic AI becomes more embedded in our digital lives, businesses are racing to deploy Model Context Protocol (MCP) servers. MCP infrastructure is the control layer of agentic AI. It stores ...

Enterprise Linux company SUSE SE today announced a milestone in its mission to create an artificial intelligence-assisted computing infrastructure, where complexity is brushed aside in favor of simple ...

Less than two months after OpenAI launched a new Apps SDK, the industry is moving to standardize how AI agents display interactive interfaces. Anthropic, OpenAI, and the Model Context Protocol (MCP) ...

The Model Context Protocol (MCP) enables AI agents to interact with external tools across hybrid environments but introduces critical security vulnerabilities, including identity theft, data leakage, ...