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; ...

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 ...

Microsoft Corp. believes we’re headed toward a future where artificial intelligence-powered agents will become pervasive in enterprise computing environments, so today it’s making it easier for those ...

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 ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

Both humans and AI agents can now monitor and manage networks together through any MCP-compatible AI client, with no separate ...

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

BOSTON--(BUSINESS WIRE)--Dynatrace (NYSE: DT), the leading AI-powered observability platform, today announced its participation in the launch of the GitHub MCP Registry, a curated directory designed ...

For decades, application programming interfaces (APIs) have been foundational to retail trading, connecting platforms to data feeds, automation tools and portfolio analytics. They helped power the ...