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 ...

What if your AI assistant could not only answer your questions but also fetch real-time data, automate tedious tasks, and perform complex calculations, all seamlessly and without breaking stride?

One of the biggest issues with large language models (LLMs) is working with your own data. They may have been trained on terabytes of text from across the internet, but that only provides them with a ...

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 ...

What MCP is in software development, how it connects AI models to tools and data, and why it matters for building scalable AI-powered applications.

Imagine a world where your AI tools don’t just answer questions or generate text but seamlessly connect with the systems and data you rely on every day. Whether it’s retrieving real-time information, ...

MCP's July 2026 spec rewrite went stateless and made Client ID Metadata Documents the standard, not audience-bound tokens, which have been mandatory since mid-2025. What actually changed since ...