Google Backs Anthropic's MCP: Connecting Gemini AI Models to Real-World Data

Google Backs Anthropic's MCP: Connecting Gemini AI Models to Real-World Data

The artificial intelligence landscape is constantly evolving, and one of the key challenges has been enabling AI models to seamlessly interact with the vast amounts of data stored in various systems. In a significant move that signals a push towards standardization, Google has announced its commitment to supporting Anthropic's Model Context Protocol (MCP). Image Credits:Andrey Rudakov/Bloomberg / Getty Images This development, revealed by Google DeepMind CEO Demis Hassabis via X (formerly Twitter), marks a major step towards greater interoperability in the AI space. Understanding the Model Context Protocol (MCP) So, what exactly is MCP? Developed and open-sourced by Anthropic, the Model Context Protocol is designed to be a standardized way for AI models, like Google's Gemini, to connect with and draw data from diverse external sources. Think of it as a universal translator or adapter that allows AI to access information locked within: Business tools and software Content repositories …