Google’s Adoption of Anthropic’s MCP Highlights AI Standardization Drive

Summary:

Google prévoit d’adopter le Modèle de Contexte de Protocole (MCP) d’Anthropic pour connecter ses modèles d’IA à des données. Cette législation soulève des questions sur la normalisation des méthodes d’intégration des données, ce qui pourrait avoir des implications en matière de sécurité des données et de responsabilité des développeurs. En adoptant MCP, Google et d’autres entreprises visent à établir des standards qui influencent le cadre réglementaire de l’IA.

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Google is set to embrace Anthropic’s Model Context Protocol (MCP) for connecting AI models to data. This decision follows a similar move made by OpenAI just weeks earlier. In a post, Google DeepMind CEO Demis Hassabis shared that the company would implement support for MCP into its Gemini models and SDK, without specifying a timeline for this addition.

MCP allows AI models to access various data sources necessary for completing tasks, facilitating two-way connections between applications and data systems. Developers can create connections through MCP servers and clients. Since MCP was open-sourced by Anthropic, multiple companies have integrated its support into their platforms.

This initiative highlights a growing trend among AI companies to standardize methods for integrating data with generative AI models, reflecting the industry’s direction towards more interconnected AI solutions. Topics include AI, DeepMind, Gemini, Google, and MCP.

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