What if the way AI agents interact with tools and resources could be as seamless as browsing the web? Imagine a world where developers no longer wrestle with custom-built adapters or fragmented ...

The Model Context Protocol just got its first official extension, and it changes what AI assistants can do. MCP Apps lets tools return interactive user interfaces—dashboards, forms, visualizations, ...

How will the Model Context Protocol shape AI development? Learn how MCP standardizes data access, enhances context awareness, and secures Web3 AI agents.

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 ...

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 ...

Wrangling your data into LLMs just got easier, though it's not all sunshine and rainbows Hands On Getting large language models to actually do something useful usually means wiring them up to external ...

Move to skill-based CLI setups where each .md skill adds just 10–50 tokens, giving you thousands of integrations without ballooning context.

Today’s AI coding agents are impressive. They can generate complex multi-line blocks of code, refactor according to internal style, explain their reasoning in plain English, and more. However, AI ...

Two critical remote code execution vulnerabilities in the Model Context Protocol (MCP) ecosystem have laid bare the hidden risks lurking in what's quickly becoming AI's new backbone infrastructure.