Hands On Getting large language models to actually do something useful usually means wiring them up to external data, tools, or APIs. The trouble is, there's no standard way to do that - yet.… ...

Imagine you’ve trained or fine‑tuned a chatbot or an LLM, and it can chat comfortably without any serious hiccups. You feed it a prompt and it responds. However, it’s stuck in a bubble: It only knows ...

LLMs and AI tools have transformed nearly every industry, including marketing. We’ve become accustomed to AI’s ability to: But as these models evolve, their capabilities are entering a new phase with ...

MCP registries are emerging as the new integration catalog for AI agents. Building one for the enterprise requires semantic discovery, strong governance, and developer-friendly controls.

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 ...

Anthropic’s Model Context Protocol (MCP), coined the “USB-C for AI,” has inspired the software industry to think bigger with their AI assistants. Now, armed with access to external data and APIs, as ...

What if integrating powerful AI tools into your workflows was as simple as plugging in a USB drive? For years, developers have wrestled with the complexities of connecting large language models (LLMs) ...

Enter the Model Context Protocol (MCP), an open source standard introduced by Anthropic that’s quickly gaining momentum in the AI world. Backed by major players like OpenAI and Google, MCP is designed ...