Making inherently probabilistic and isolated large language models (LLMs) work in a context-aware, deterministic way to take real-world decisions and actions has proven to be a hard problem. As we ...

Imagine a world where your AI tools don’t just work for you but work with each other—seamlessly, intelligently, and without the frustration of endless custom integrations. This isn’t a distant dream; ...

Creating a custom Model Context Protocol (MCP) client using Gemini 2.5 Pro provides an opportunity to design a highly adaptable and efficient communication solution. By combining a robust backend, a ...

When your mcp client talks to a server—maybe a retail bot checking inventory levels—they usually do a "handshake" to agree on a secret key. If you use ML-KEM, that handshake stays safe even if a ...

Anthropic’s model context protocol (MCP), the ‘plug-and-play bridge for LLMs and AI agents’ to connect with external tools, has received a major update one year after its launch. The developer of ...

Open-source plugin now available on the CrafterCMS Marketplace This plugin showcases how MCP, the industry’s emerging open standard for AI/tool interoperability, can unlock powerful new content ...