Microsoft and GitHub adopt MCP to connect AI to data sources | Hardware devices | Hardware near me | | Turtles AI

Microsoft and GitHub announced their adoption of the Model Context Protocol (MCP), an open-source standard developed by Anthropic to facilitate the integration of AI models with external data sources. The announcement was made at Microsoft’s Build 2025 conference, highlighting the companies’ commitment to interoperability and security in the AI ​​ecosystem.

Key Points:

• AI Integration Standardization: MCP provides a unified interface to connect AI models to disparate data sources, reducing the need for custom integrations.
• Collaboration between tech giants: Microsoft and GitHub join the MCP steering committee, joining other industry leaders such as OpenAI and Google.
• Support across Microsoft platforms: MCP will be integrated into products such as Azure, Windows 11, and GitHub Copilot, expanding developers’ AI capabilities.
• Focus on Security and Permissions: Specifications have been developed to ensure secure connections between AI applications and MCP servers, protecting sensitive data.

The Model Context Protocol (MCP), introduced by Anthropic in November 2024, aims to be an open standard for connecting AI models to external tools, services, and data. Using a client-server architecture, MCP enables developers to expose data via “MCP servers” and build AI applications (“MCP clients”) that interact with these servers. This approach aims to overcome fragmented integrations, providing a scalable and interoperable solution.

Microsoft announced the integration of MCP into several of its platforms, including Azure, Windows 11, and GitHub Copilot. In particular, Windows 11 will support MCP, allowing developers to expose application functionality as an MCP server, making it easier for AI models to interact with system components such as the file system and Windows Subsystem for Linux. To ensure security, Microsoft has worked with Anthropic and the MCP community to develop updated authorization specifications, introducing trusted access methods for AI applications.

In parallel, GitHub has helped create a registry service for MCP servers, enabling developers to implement centralized repositories for MCP server entries and making it easier to discover and manage MCP implementations. Additionally, Microsoft has partnered with Anthropic to develop an official C# SDK, available as a NuGet package, to make it easier to integrate MCP into applications.

The adoption of MCP by Microsoft and GitHub comes amid a broader push for the standard by other industry leaders, such as OpenAI and Google DeepMind, who have announced that they are integrating MCP into their products and SDKs. This convergence signals a move toward greater standardization in the interoperability of AI models with data sources, fostering a more cohesive and secure ecosystem.

With the adoption of MCP, Microsoft and GitHub are reinforcing their commitment to promoting open and interoperable standards, making it easier to develop more integrated and secure AI applications.