Ashay Satav is a Product leader at eBay, specializing in products in AI, APIs and platform space across Fintech, SaaS and e-commerce. Model context protocol (MCP) has been the talk of the town lately, ...

The Model Context Protocol (MCP) is redefining how artificial intelligence (AI) systems interact with external tools and services. By addressing the inherent limitations of large language models (LLMs ...

Imagine a world where your favorite tools and platforms work together seamlessly, powered by the intelligence of large language models (LLMs). No more clunky integrations, endless API documentation, ...

Chances are, unless you're already deep into AI programming, you've never heard of Model Context Protocol (MCP). But, trust me, you will. MCP is rapidly emerging as a foundational standard for the ...

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 ...

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 ...

Calsoft develops innovation utilizing Jenkins MCP (Model Context Protocol) server for AI-assisted DevOps automation We ...

The Model Context Protocol (MCP) changes this equation. Think of it as the "USB-C for AI." It's an open standard that allows us to plug our AI models directly into our security stack (SIEM, EDR, ...

The Model Context Protocol (MCP) is an open source framework that aims to provide a standard way for AI systems, like large language models (LLMs), to interact with other tools, computing services, ...

The iPhone could soon gain support for the Model Context Protocol, a move that could make third-party AI tools more useful on Apple products than ever before. In a nutshell, MCP makes it possible for ...