Windows-MCP vs. Copilot+: AI-Powered PC Control Review and Future Outlook

In the evolving landscape of artificial intelligence integration within operating systems, Microsoft's Copilot+ has been a focal point of discussion. Designed to enhance user experience by embedding AI capabilities directly into Windows, Copilot+ aims to streamline tasks and provide intelligent assistance. However, a recent review by XDA Developers highlights a third-party tool, Windows-MCP, which endeavors to fulfill the promises of Copilot+ independently of Microsoft. This article delves into the functionalities, setup process, performance, and overall value of Windows-MCP, juxtaposing it with Microsoft's native AI solutions.

Windows-MCP: An Overview​

Windows-MCP is a third-party application that leverages large language models (LLMs) like Anthropic's Claude to control various aspects of a Windows PC through natural language commands. Its capabilities include opening applications and websites, adjusting system settings, and even installing new software. Essentially, Windows-MCP aspires to be the AI-driven assistant that users anticipated from Microsoft's Copilot+, offering a more hands-on approach to system management through AI.

Installation and Setup: A Daunting Task​

Setting up Windows-MCP is not for the faint of heart. The process requires several prerequisites:

• Python 3.13 or newer: The latest version at the time of writing.
• Claude Desktop App: Anthropic's AI application.
• UV Package Manager for Python: For managing Python packages.
• Desktop Extension CLI Tool from Anthropic: To facilitate integration.

Additionally, users must install Node.js, preferably with Node Version Manager (NVM), to set up the Desktop Extension tool. Cloning the Windows-MCP GitHub repository necessitates Git, adding another layer of complexity. While these steps are manageable for tech-savvy individuals, they present a significant barrier for the average user. The setup process is time-consuming and requires meticulous attention to detail, which may deter those seeking a straightforward installation.

Functionality: AI-Powered Control with Caveats​

Once installed, Windows-MCP allows users to control their PC through text commands issued to Claude. The AI can perform tasks such as:

• Opening and closing applications: For instance, launching browsers like Vivaldi or Edge.
• Navigating to specific websites: By entering URLs.
• Adjusting system settings: Such as changing display resolutions or managing notifications.

The process is transparent, with Claude displaying each action it takes, from checking the system's current state to executing commands. Users must grant permission for each type of action, adding a layer of security. However, this permission system can disrupt workflow, leading some users to opt for always allowing actions to maintain fluidity.
Despite its capabilities, Windows-MCP's performance is notably sluggish. Tasks that users can perform manually in seconds may take minutes for Claude to execute. For example, opening a browser and navigating to a website involves watching Claude methodically perform each step, which can be frustratingly slow. This lag diminishes the practicality of using Windows-MCP for routine tasks, as the time saved by automation is negated by the AI's deliberateness.

Performance and Reliability: A Mixed Bag​

Beyond its sluggishness, Windows-MCP exhibits several reliability issues:

• User Profile Discrepancies: When opening browsers like Vivaldi, users have reported that Windows-MCP disregards existing user data, including profiles, email accounts, settings, and history. This anomaly suggests that the AI may be launching instances of applications that do not access the user's established data, leading to a disjointed experience.
• State Mismanagement: In instances where a user closes an application after issuing a command, subsequent commands may cause Claude to assume the application is still open, resulting in errors. While Claude eventually recognizes the discrepancy and corrects its actions, this mismanagement indicates a lack of real-time system awareness.

These issues, combined with the inherent sluggishness, render Windows-MCP less reliable than desired. For tasks that require efficiency and precision, users may find manual execution more dependable.

Value Proposition: Is It Worth the Effort?​

The concept behind Windows-MCP is undeniably intriguing. The ability to control a PC through natural language commands aligns with the futuristic vision of AI integration. However, the current implementation falls short of delivering a seamless and efficient experience.
For users on the free plan of Claude, the limited number of interactions further hampers the utility of Windows-MCP. While a paid plan offers unlimited interactions, the existing performance issues raise questions about the value of such an investment. The time and effort required to set up and use Windows-MCP may not justify the benefits, especially when manual control remains faster and more reliable.

Lessons for Microsoft: A Missed Opportunity​

Windows-MCP serves as a case study in what Microsoft's Copilot+ could have been. The integration of AI to control system functions is a compelling idea that, if executed well, could significantly enhance user experience. However, Microsoft's current iteration of Copilot+ has been criticized for being a glorified chatbot with limited practical utility.
The shortcomings of Windows-MCP highlight the challenges inherent in developing such a tool. Performance optimization, reliability, and user-friendly setup are critical factors that Microsoft must address to realize the full potential of AI integration in Windows. By learning from the pitfalls of Windows-MCP, Microsoft has the opportunity to refine Copilot+ into a truly valuable assistant that meets user expectations.

Conclusion​

Windows-MCP embodies the aspirations of AI-driven PC control but falls short in execution. Its complex setup, sluggish performance, and reliability issues overshadow the innovative concept it represents. While it offers a glimpse into the future of AI integration, it also serves as a cautionary tale for developers and companies aiming to embed AI into operating systems. For now, users may find that traditional methods of PC control remain superior, but the evolution of tools like Windows-MCP and Copilot+ holds promise for a more intelligent and intuitive computing experience in the future.

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Source: XDA Windows-MCP does everything Copilot+ wishes it did, without Microsoft (and it's not even good)