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 ...

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; ...

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

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 ...

Discover how Slackbot's new MCP Client is revolutionizing your workflow by seamlessly integrating your favorite apps in real ...

The next generation of the Model Context Protocol (MCP) enables enterprise-scale AI deployments but shifts critical security ...

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 ...

But as these models evolve, their capabilities are entering a new phase with the introduction of Model Context Protocol (MCP) – a development that will also reshape how we think about search ...

The Model Context Protocol does something I have not seen in three decades of watching this space. It eliminates the ...