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; ...

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

The rapid evolution of large language model (LLM) deployment has surfaced a critical infrastructure gap: AI agents cap ...

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 ...

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

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 ...

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

Microsoft is bringing Model Context Protocol (MCP) to Windows 11 to turn its OS into an agentic OS. At BUILD 2025, it outlined how its implementation will be secure. Microsoft has announced that it is ...

RE's MCP connector is now live as the first release on symmetRE's shared AI platform — opening the validated, governed data ...