Window Screenshooter MCP Server

The Window Screenshooter server solves a common pain point in AI‑assisted development and testing: the need to capture precise, window‑level screenshots without disrupting the user’s workflow. Traditional screen‑capture utilities typically grab the entire display, which can be noisy and difficult to parse in automated pipelines. By exposing a lightweight MCP interface that targets individual application windows, this server allows AI agents to retrieve clean images of the exact UI component under test or inspection.

The core value lies in its cross‑platform, window‑specific capture capability. On Windows it leverages the Win32 API and the Graphics Capture API to grab even hidden or minimized windows, while on Linux it taps into X11’s native protocols for direct buffer access. This means developers can write a single MCP call that works uniformly across both major desktop environments, simplifying test scripts and reducing platform‑specific boilerplate.

Key features include:

• Targeted capture by title or identifier: Specify a window name (partial matches supported) and the server returns a PNG or JPEG snapshot, optionally saved to disk.
• Smart state restoration: Before capturing, the server records the window’s current position, size, and focus state. If the window must be moved or brought to the foreground for a clean capture, it is automatically returned to its original state afterward, preserving user workflow.
• Automatic focus management: After a capture, the server detects the developer’s editor (VS Code, Cursor, etc.) and restores focus to it, minimizing interruption.
• Listing and introspection: enumerates all open windows with metadata, while provides detailed position, size, visibility, and process data for a single window.

These capabilities make the server ideal for AI‑driven UI testing, where a model must verify that an application renders correctly, or for continuous monitoring of desktop applications in production environments. An AI assistant can call to snapshot a dialog, parse the image with OCR or vision models, and compare it against expected outputs—all without manual intervention. The server’s STDIO transport ensures reliable communication with any MCP‑compliant client, making it a plug‑and‑play addition to existing AI workflows.

In summary, the Window Screenshooter MCP Server delivers precise, non‑intrusive window captures across Windows and Linux, coupled with intelligent state preservation. Its simple toolset empowers developers to integrate visual verification into AI agents seamlessly, boosting automation quality and reducing manual testing overhead.