In a major step toward enhancing AI interoperability, Google DeepMind has announced that it will support Anthropic’s Model Context Protocol (MCP) in its Gemini AI models and SDK. The move positions MCP as a rising open standard for AI connectivity and data interaction in what many are calling the “agentic era” of artificial intelligence.
The announcement was made by Google DeepMind CEO Demis Hassabis on X, formerly Twitter. While no specific timeline was provided, Hassabis praised the protocol, saying:
“MCP is a good protocol, and it’s rapidly becoming an open standard for the AI agentic era.”
MCP, originally developed by Anthropic, allows AI models to seamlessly connect with real-time data sources, enterprise software, content repositories, and app environments. This enables developers to build robust, two-way interactions between data systems and AI-powered apps like intelligent chatbots, workflow tools, and automation agents.
With this integration, developers can deploy “MCP servers” to expose data and use “MCP clients” to access and manipulate that data via AI-driven logic and workflows.
Since Anthropic open-sourced MCP, several major platforms including Block, Replit, Apollo, Codeium, and Sourcegraph have adopted the protocol. Google’s move marks a significant vote of confidence in MCP’s future as a universal framework for AI model connectivity.
This shift also comes shortly after OpenAI announced its support for MCP, showing a growing consensus among industry leaders around unifying how AI interacts with external systems.
As more tech giants get on board, MCP is poised to become a foundational standard for developers building the next generation of intelligent, data-connected applications.
