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

MCP is the Model Context Protocol, introduced by Anthropic last year to act as the “USB-C” interface for connecting AI ...

Google is rolling out managed MCP servers to make its services “agent-ready by design,” starting with Maps and BigQuery, aiming to simplify messy integrations and help AI agents use real tools.

The two other new MCP servers will help companies manage their Google Cloud environments. The first allows AI agents to perform tasks such as provisioning Google Compute Engine instances. The second ...

Anthropic hands over MCP to the newly founded Agentic AI Foundation. This is intended to form a neutral and open foundation for AI projects.

Google Cloud's introduction of fully managed Model Context Protocol (MCP) servers revolutionizes its API infrastructure, ...

Mirantis, delivering Kubernetes-native infrastructure for AI, today announced AdaptiveOps services to help enterprises deploy Model Context Protocol (MCP), ranging from assessments to design, build ...

In this article, authors Srikanth Daggumalli and Arun Lakshmanan discuss next-generation context-aware conversational search ...

The Model Context Protocol (mCP) is reshaping how AI agents interact with tools and services. By introducing a centralized and dynamic toolbox, mCP eliminates the need for manual configurations, ...

Explore how AI agents and Playwright MCP act as testing helpers that speed up web testing while you stay in control ...

Explore formal verification's role in securing Model Context Protocol (MCP) deployments against quantum computing attacks. Learn how mathematical proofs and verification tools ensure robust AI ...