The Model Context Protocol (MCP) is an open standard that enables developers to build secure, two-way connections between their data sources and AI-powered tools. The architecture is straightforward: ...

As the development of AI tools accelerates, organizations are under increasing pressure to move models from prototype to production securely and with scalability. Behind the scenes, managing AI models ...

The Model Context Protocol (MCP) for agentic AI has gained much traction since being introduced by Anthropic last November, and now it has a C# SDK. The MCP is a standard for integrating large ...

As artificial intelligence applications proliferate across healthcare, the model context protocol is an emerging industry standard that defines how AI systems, large language models and agent-based ...

Model Context Protocol, Agent2Agent protocol, and Agent Communication Protocol take slightly different approaches to AI agent communications. Let’s unpack them. Unlike traditional AI models that ...

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 ...

In the fast-evolving world of Agentic AI, where Large Language Models (LLMs) are rapidly advancing, seamless integration with external tools and data sources remains a key challenge. Imagine an AI ...

Forbes contributors publish independent expert analyses and insights. Craig S. Smith, Eye on AI host and former NYT writer, covers AI. When Sam Altman posted a tweet one recent morning, few outside ...

Varonis Systems, Inc. has announced the launch of the Varonis Model Context Protocol (MCP) Server, which enables users to access and manage the Varonis Data Security Platform through AI clients like ...