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, ...

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 ...

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 ...

ZoomInfo (NASDAQ: GTM), the all-in-one AI GTM platform, today announced that its MCP Server is now listed on the Cursor Marketplace, giving developers and revenue teams a native way to bring ...

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 ...

The updated protocol will simplify how enterprises deploy and scale MCP-based AI applications in the cloud, but developers relying on deprecated capabilities will need to plan for architectural ...

The Model Context Protocol (MCP) for agentic AI has gained much traction since being introduced by Anthropic last November, and now it has a C# SDK. The MCP is a standard for integrating large ...

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 ...

The Model Context Protocol, or MCP, is a new open standard that makes it easier for AI models to connect with external data, APIs and services. Released by Anthropic in late 2024, MCP was designed to ...