Instead of each AI integration being custom-coded for every app, MCP provides a shared standard, so MCP-compliant systems can ...

The ability to connect to both cloud and on-premises versions of Azure DevOps is a significant advantage. It means the server can be a consistent part of your AI-DevOps workflow, regardless of where ...

The hyperscalers were quick to support AI agents and the Model Context Protocol. Use these official MCP servers from the major cloud providers to automate your cloud operations.

The Model Context Protocol seeks to bring a standards-based and open source approach to enterprise use of LLMs and agentic AI. The Model Context Protocol was released in late 2024, but over the past ...

The Model Context Protocol (MCP) is poised to redefine how artificial intelligence (AI) agents interact with external tools and services. Imagine a world where connecting AI systems to external AI ...

What if the way AI agents interact with tools and resources could be as seamless as browsing the web? Imagine a world where developers no longer wrestle with custom-built adapters or fragmented ...

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: ...

Today’s AI coding agents are impressive. They can generate complex multi-line blocks of code, refactor according to internal style, explain their reasoning in plain English, and more. However, AI ...

What does it take to get OpenAI and Anthropic—two competitors in the AI assistant market—to get along? Despite a fundamental difference in direction that led Anthropic’s founders to quit OpenAI in ...