Model Context Protocol makes it far easier to integrate LLMs and your APIs. Let’s walk through how MCP clients and servers communicate, securely. Every new protocol introduces its own complexities.

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 ...

The ability to connect to both cloud and on-premises versions of Azure DevOps is a significant advantage. It means the server ...

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 ...

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 ...

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, ...

Google has announced the public preview of the Developer Knowledge API and MCP server, enabling AI assistants to access current developer documentation programmatically.

Things are happening fast in the Model Context Protocol (MCP) space, which enhances agentic AI. Microsoft's Awesome Copilot MCP Server and a new community MCP Registry recently arrived within days of ...

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 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 ...