Learn how this new standard connects AI to your data, enhances Web3 decision-making, and enables modular AI systems.

As organizations push AI systems into production, IT teams are asking how to make models more dependable, secure and useful in real-world workflows. One approach gaining traction is the Model Context ...

The Model Context Protocol (MCP)—a rising open standard designed to help AI agents interact seamlessly with tools, data and interfaces—just hit a significant milestone. Today, developers behind the ...

Making inherently probabilistic and isolated large language models (LLMs) work in a context-aware, deterministic way to take real-world decisions and actions has proven to be a hard problem. As we ...

Giridhar Raj Singh Chowhan is a principal architect at Microsoft where he focuses on enterprise architecture and AI cloud platforms. AI agents are rapidly becoming the interface between users and ...

AI innovation today is moving faster than ever before, with leaps and bounds being made in the field on what seems like a weekly basis. Further to innovation that is directly related to or produced by ...

Released late last year by AI firm Anthropic, model context protocol (MCP) is an open standard designed to standardize the way AI systems, particularly large language models (LLMs), integrate and ...

Grasshopper Bank launched a first-of-its-kind Model Context Protocol (MCP) server that will enable its business banking clients to get personalized financial analysis and insights through Claude, ...