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; ...

BMC Software has extended both its mainframe intelligence product and its Control-M workload automation platform with Model ...

The Model Context Protocol (MCP) is an open source framework that aims to provide a standard way for AI systems, like large language models (LLMs), to interact with other tools, computing services, ...

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

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 ...

As part of the effort to push Large Language Model (LLM) ‘AI’ into more and more places, Anthropic’s Model Context Protocol (MCP) has been adopted as the standard to connect LLMs with various external ...

While the current AI boom was sparked by the launch of OpenAI’s ChatGPT in late 2022, it wasn’t until late 2024 that its true power could be recognized, when Anthropic unveiled the Model Context ...

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 ...

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 ...

AdKit, the advertising platform connecting AI agents to ad accounts, is extending its Model Context Protocol service to ...