# gammaray-mcp-bridge

> gammaray-mcp-bridge — linuxdeepin-gammaray-mcp-bridge. Use this tool when you need to inspect and debug Qt Quick/QML scene graphs or Qt Widgets, as it bridges GammaRay probe introspection data into MCP tools, enabling large language models (LLMs) to analyze items, geometry, and materials. This bridge solves problems related to scene graph debugging and visualization, providing valuable insights for development and testing. It accepts GammaRay probe data as input and outputs introspection data for MCP tools, ideal for use cases involving Qt application development and debugging.

Canonical page: https://skillsregistry.net/skills/linuxdeepin-gammaray-mcp-bridge  
JSON: https://api.skillsregistry.net/v1/skills/linuxdeepin-gammaray-mcp-bridge

## Description

Bridges GammaRay probe introspection data into MCP tools, enabling LLMs to inspect and debug Qt Quick/QML scene graphs, items, geometry, materials, and Qt Widgets.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j1gjyns8cd)
- **Repository:** <https://github.com/linuxdeepin/gammaray-mcp-bridge>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "linuxdeepin-gammaray-mcp-bridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/linuxdeepin-gammaray-mcp-bridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/linuxdeepin-gammaray-mcp-bridge/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt