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Inspect and control running WPF apps through UI tree and interactions.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.faze79/wpf-visual-tree" MCP server from askskill: Run: claude mcp add 'io-github-faze79-wpf-visual-tree' -- npx -y WpfVisualTreeMcp
Connect to the running WPF app, inspect the visual tree, and list the control hierarchy, types, and names under the main window.
A structured control tree of the main window for locating UI elements.
Inspect the text box with incorrect display in the current window, read its binding information, and identify the likely binding source.
Binding details for the relevant control to help troubleshoot data-binding problems.
First capture a screenshot of the current WPF window, then click the Save button and enter 'test keyword' into the search box.
A screenshot plus completed button-click and text-input actions.
Developers or testers can inspect the visual tree and control details while a WPF app is running. This is useful for understanding complex window structures and locating UI elements quickly.
When UI output does not match expectations, the tool can read control binding information to analyze the source of the issue. It is suitable for checking binding states on text, list, and similar controls.
An AI agent can interact with a running WPF app through screenshots, clicks, and text input. It is useful for basic UI actions or assisting repetitive test flows.
It lets AI agents inspect and drive running WPF applications. Known capabilities include reading the visual tree, viewing bindings, taking screenshots, clicking, and entering text.
Based on the name and description, it targets running WPF applications. For support of other desktop technologies, see the source repository.
A known prerequisite is having a running WPF application available for inspection and interaction. For installation, runtime requirements, or setup steps, see the source repository.
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