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; ...

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 ...

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 ...

Kilpatrick Labs is currently piloting and developing over 15 custom AI tools that leverage Anthropic’s Claude LLM in areas ...

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 ...

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 ...

Zendesk adopts the MCP standard to unify AI agents, eliminate silos, and enhance cross-platform interoperability for businesses.

Wednesday is the hands-on day at WWDC 2026. Group Labs for Xcode 27, Foundation Models, Core AI, App Intents, and the parental-control API stack are running today, June 10, at Apple Park — the last ...

Protect your AI agent workflows from quantum threats. Learn how to implement quantum-resistant cryptography for Model Context Protocol (MCP) deployments today.