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 ...

Chances are, unless you're already deep into AI programming, you've never heard of Model Context Protocol (MCP). But, trust me, you will. MCP is rapidly emerging as a foundational standard for the ...

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 ...

As part of the effort to push Large Language Model (LLM) ‘AI’ into more and more places, Anthropic’s Model Context Protocol (MCP) has been adopted as the standard to connect LLMs with various external ...

The Model Context Protocol connects an AI system to multiple data sources, which Anthropic says can eliminate the need to create custom code for each one. The Model Context Protocol connects an AI ...

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 ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

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 ...

AI agents are now becoming central to marketing workflows. These agents are designed to handle manual, repetitive and time-consuming work, executing tasks inside systems like CRMs, analytics ...