We have all heard about model context protocol (MCP) in the context of artificial intelligence. In this article, we will dive into what MCP is and why it is becoming more important by the day. When AP ...

Learn how to implement cryptographic agility in Model Context Protocol (MCP) to protect AI infrastructure against quantum threats with PQC and modular security.

Artificial intelligence is still rapidly evolving, though there remains one fundamental constraint on its effectiveness: the provision of authentic, immediate, and permissioned access to the relevant ...

As organizations push AI systems into production, IT teams are asking how to make models more dependable, secure and useful in real-world workflows. One approach gaining traction is the Model Context ...

Artificial intelligence is progressing rapidly, but there is one issue that many people do not discuss enough: context. Even the most intelligent systems are not very effective when they lack a clear ...

Giridhar Raj Singh Chowhan is a principal architect at Microsoft where he focuses on enterprise architecture and AI cloud platforms. AI agents are rapidly becoming the interface between users and ...

Anthropic’s Model Context Protocol (MCP) is an open standard designed to enable secure, two-way communication between tools and data sources. Its flexibility and efficiency make it a valuable resource ...

Carl is the CTO and co-founder at Avassa and obsesses over an edge orchestrator that application- and infrastructure teams alike can love. AI is no longer just a tool that reacts to prompts. With the ...

The enhanced MCP integration enables AI Agents on the Homesage.ai platform to process property data with improved contextual understanding. The system analyzes information from both off-market ...

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 ...