$ loading_
Bridge GammaRay probe data into MCP for Qt/QML inspection and debugging.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "gammaray-mcp-bridge" yet — see the docs or source repo.
Use gammaray-mcp-bridge to inspect the current Qt Quick/QML scene graph, list the hierarchy of main items, and point out any potentially abnormal nodes.
A scene graph overview with suspicious items or hierarchy issues highlighted.
Use gammaray-mcp-bridge to inspect item geometry in this interface, find objects with abnormal position, size, or overlap, and explain possible causes.
A list of problematic objects and an analysis of their geometry issues.
Use gammaray-mcp-bridge to inspect current QML material data and Qt Widgets state to help diagnose rendering or widget behavior issues.
Relevant material and widget state details with notes on suspicious issues.
Qt/QML developers can use this bridge when UI rendering looks wrong, hierarchy is broken, or items are missing. It lets an AI inspect GammaRay probe data for scene graphs, items, geometry, and materials.
Desktop app developers using Qt Widgets can use this tool to let an AI inspect widget state and object structure to diagnose interaction or display issues. It is suited for runtime introspection and debugging analysis.
Teams that want LLMs to participate directly in Qt app troubleshooting can expose GammaRay probe data through MCP. This gives the AI access to real runtime object information for more concrete debugging guidance.
It bridges GammaRay probe introspection data into MCP tools so an LLM can inspect and debug Qt Quick/QML scene graphs, items, geometry, materials, and Qt Widgets.
From the description, it depends on GammaRay probe data and an MCP environment. For exact installation steps, runtime requirements, or configuration details, see the source repository.
It exposes GammaRay runtime introspection data rather than only static screenshots or text logs, so it is better suited for AI inspection of object hierarchy, geometry, materials, and widget state. The exact capability boundaries should be confirmed in the source repository.
Generate AI presentations in MCP clients through the Gamma API.
Inspect scenes, modify scripts, and run RTS automated testing in Godot.
Automate Gamma tasks through Rube MCP to streamline presentation workflows.
Connect to Godot to launch projects and capture debugging output.
Generate presentations, documents, social posts, and webpages with AI via Gamma.
Drive and debug Coherent Gameface UI through the Chrome DevTools Protocol.