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 ...

Model Context Protocol is becoming a prerequisite for AI travel distribution. In the agent era, not being machine-readable will be the fastest way to become invisible. As AI remakes the travel ...

Enter the Model Context Protocol (MCP), an open source standard introduced by Anthropic that’s quickly gaining momentum in the AI world. Backed by major players like OpenAI and Google, MCP is designed ...

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.

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now The Model Context Protocol (MCP) has become ...

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 ...

Model Context Protocol (MCP) servers, a relatively new idea from Anthropic to connect advanced AI systems with tools, data sources and other resources so they can act as autonomous agents, is now ...

Model context protocol (MCP) gives IT teams a standardized way to connect large language models (LLMs) to tools and data sources when developing AI-based workflows. But security researchers warn that ...