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 ...

Anthropic’s Model Context Protocol (MCP) is an open standard designed to enable secure, two-way communication between tools and data sources. Its flexibility and efficiency make it a valuable resource ...

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 ...

The Model Context Protocol (MCP) is redefining how artificial intelligence (AI) interacts with external systems and data sources. Acting as a universal interface, MCP simplifies the process of ...

When Anthropic open-sourced the Model Context Protocol (MCP) in late 2024, it promised to solve one of the most persistent integration challenges in artificial intelligence. Before then, connecting ...

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 ...