What if the next generation of AI systems could not only understand context but also act on it in real time? Imagine a world where large language models (LLMs) seamlessly interact with external tools, ...

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 ...

Managed Authorisation extension to stable status, adding a centralised way for organisations to control access to MCP servers ...

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; ...

As artificial intelligence applications proliferate across healthcare, the model context protocol is an emerging industry standard that defines how AI systems, large language models and agent-based ...

As organizations push AI systems into production, IT teams are asking how to make models more dependable, secure and useful in real-world workflows. One approach gaining traction is the Model Context ...

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 ...

Over the last two years, marketers have been bombarded with sudden news about launched AI models and subsequent updates. The buzz has captured marketers’ imagination, encouraging them to explore how ...

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 ...

My coding agent had 172 tools and got worse at coding ...