Introduction Of Google
Google is aligning with Anthropic’s emerging industry standard for AI-data connectivity, following in the footsteps of OpenAI. The move signals growing momentum behind the Model Context Protocol (MCP), a framework designed to seamlessly link AI models with real-time data sources.
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On Wednesday, Google DeepMind CEO Demis Hassabis announced via X (formerly Twitter) that Google will integrate support for MCP into its Gemini models and SDK. While a specific rollout timeline wasn’t provided, the commitment marks a notable endorsement from one of AI’s biggest players.
“MCP is a good protocol and it’s rapidly becoming an open standard for the AI agentic era,” Hassabis wrote. “We look forward to developing it further with the MCP team and others in the industry.”
Originally introduced by Anthropic, MCP allows AI systems to access and interact with external data sources—including business applications, content libraries, and developer environments—to better perform complex tasks. The protocol supports two-way communication between data repositories and AI-driven applications like chatbots, automations, and agents.
With MCP, developers can set up MCP servers to expose data, and create MCP clients—such as tools or workflows—that securely interact with those servers on demand. Since Anthropic open-sourced the protocol, tech firms like Block, Apollo, Replit, Codeium, and Sourcegraph have integrated MCP into their platforms.
Google’s adoption of MCP adds further weight to the protocol’s growing status as a foundational layer for the next generation of AI-enabled tools.
