Microsoft Corp. believes we’re headed toward a future where artificial intelligence-powered agents will become pervasive in enterprise computing environments, so today it’s making it easier for those ...

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 ...

AI agents and agentic workflows are the current buzzwords among developers and technical decision makers. While they certainly deserve the community's and ecosystem's attention, there is less emphasis ...

At this year's Build conference, Microsoft unveiled a major expansion of its agent-based AI platform, highlighting new tools to securely build, customize and orchestrate intelligent agents across ...

Artificial intelligence is progressing rapidly, but there is one issue that many people do not discuss enough: context. Even the most intelligent systems are not very effective when they lack a clear ...

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 ...

Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...

A new GitHub repo serves as a lab for creating a Model Context Protocol (MCP) Server and using it in Microsoft Copilot Studio. The MCP, originated by AI leader Anthropic and taken open source, is a ...