sbroenne/mcp-windows — Let AI agents control Windows applications.

Description and use

**Brief Summary**
sbroenne/mcp-windows is an open‑source library that lets AI agents interact with Windows applications through the Windows UI Automation API. By addressing UI elements by name instead of screen coordinates, it works reliably across DPI settings, themes, resolutions and window positions, making it a solid foundation for connecting large‑language‑model assistants to real‑world tools via the Model Context Protocol (MCP).

**Value**

• **Reliable UI control:** UI Automation‑based element lookup eliminates the fragility of pixel‑based bots, so AI‑driven scripts remain stable after UI redesigns or when users change display settings.
• **Standardised integration:** The library implements the MCP server interface, giving AI assistants a uniform way to discover, invoke, and receive feedback from Windows apps.
• **Language‑native SDK/CLI:** Written in C#, it offers both a programmatic SDK and a ready‑to‑run CLI, enabling rapid prototyping and easy embedding in existing .NET services.

**Practical Adoption Path**

1. **Prototype:** Pull the repo, run the provided CLI (mcp-windows serve) and point an MCP‑compatible assistant (e.g., LangChain, AutoGPT) at the local endpoint.
2. **Define actions:** Use the MCP schema to describe the UI operations you need (click “Submit”, type into “SearchBox”, toggle “DarkMode”).
3. **Integrate:** Wrap the CLI or SDK in your backend service (e.g., a micro‑service that receives MCP requests and forwards them to the library).
4. **Test & Harden:** Add unit tests for each action, enforce least‑privilege Windows permissions, and optionally containerise the service for CI/CD pipelines.

**Production Readiness**

• **Activity & Community:** 37 stars, 6 forks, last commit on 2026‑05‑13, and a healthy set of 11 topics indicate an actively maintained project.
• **Stability:** The use of the official Windows UI Automation API and a clear MCP contract give deterministic behaviour across Windows versions.
• **Ecosystem Fit:** Provides both API/SDK and CLI entry points, making it easy to evaluate in a sandbox and then scale into a production MCP server.
• **Risks:** Licensing and security posture still need a final review, and long‑term maintainership should be confirmed, but no major red flags appear.

Overall, sbroenne/mcp-windows is production‑ready for pilots that need AI agents to control Windows GUIs in a reliable, standards‑based way.

Problem

sbroenne/mcp-windows helps connect AI assistants to real tools and data through a standard protocol.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

• connect AI agents to tools
• ship Model Context Protocol servers
• standardize integrations

Evidence

Let AI agents control Windows applications. Click buttons, type text, toggle settings — all by name, not coordinates. Uses the Windows UI Automation API to find UI elements reliably, regardless of DPI, theme, resolution, or window position.

Source