Microsoft Integrates Model Context Protocol into Windows, Paving Way for AI Agent Revolution

Microsoft has taken a major step forward in its vision of an AI-first future for Windows, officially announcing native support for the Model Context Protocol (MCP). Often dubbed the “USB-C of AI apps,” MCP is poised to revolutionise how intelligent agents interact with applications and services on the Windows platform.
The move was unveiled alongside the launch of the Windows AI Foundry, an initiative designed to accelerate the development of AI-powered features and ecosystems within Windows. Together, these efforts mark a deeper commitment to transforming Windows into a platform where autonomous AI agents can seamlessly assist users with a broad range of tasks.
MCP, introduced by Anthropic in late 2023, is an open-source communication standard that enables AI apps to connect with each other and external services—much like how USB-C connects different hardware devices. By embracing MCP, Microsoft aims to allow developers to build agents that can interact directly with both web services and Windows system functions.
“We want Windows as a platform to be able to evolve to a place where we think agents are a part of the workload on the operating system, and agents are a part of how customers interact with their apps and devices on an ongoing basis,” said Pavan Davuluri, head of Windows, in an interview with The Verge.
The idea is simple but powerful: equip AI agents with the tools and protocols to interact intelligently with different components of the operating system. To support this, Microsoft is introducing new developer tools and an MCP registry that acts as a trusted directory of MCP servers. These servers will enable agents to tap into core Windows functionalities such as the file system, the Windows Subsystem for Linux, and window management tools.
In practice, this means AI assistants on Windows could soon go beyond traditional limitations. For example, during a private demonstration, Microsoft showcased how the AI assistant Perplexity could use MCP to access and query a user’s files. Instead of manually selecting folders or uploading documents, users could simply ask, “Find all the files related to my vacation in my documents folder,” and the agent would handle the task seamlessly.
This level of intelligent interaction could extend across the operating system, from simplifying workflows in Excel to streamlining system settings. Microsoft is also preparing Copilot Plus PCs to include an AI agent interface, allowing users to change settings using plain language commands.
However, Microsoft is not overlooking the potential security risks. Experts have flagged possible vulnerabilities with MCP, including token theft, server compromise, and prompt injection attacks. Acknowledging these concerns, Microsoft is limiting access to the initial rollout and making the preview version available only to select developers.
“I think we have a solid set of foundations and more importantly a solid architecture that gives us all the tools to start, to do this securely,” said David Weston, vice president of enterprise and OS security at Microsoft. “We’re going to put security first, and ultimately we’re considering large language models as untrusted, as they can be trained on untrusted data and they can have cross-prompt injection.”
Despite these challenges, Microsoft’s strategy reflects a strong belief in the future of "agentic computing"—a vision where AI agents are as central to digital interactions as the apps themselves. The company sees MCP as a foundational layer for this future, helping create a standardised, secure, and scalable framework for agents to thrive on Windows.
With the successful integration of MCP and the establishment of the Windows AI Foundry, Microsoft has sent a clear signal: Windows is not just ready for AI—it’s being reimagined around it.
As the industry begins to shift toward agent-powered systems, Microsoft’s proactive adoption of technologies like MCP positions it at the forefront of this transformation. The groundwork laid today could very well shape how we interact with software, data, and even the internet itself in the years ahead.