Discover the toolingbehind modern intelligence
The operating system for AI infrastructure discovery. Search a live map of MCP servers, AI agents, LLM tools, automation systems, and developer infrastructure.
qt-interactive-feedback-mcp
Qt-based Interactive Feedback MCP with Chinese input support (fcitx4)
16stars
3forks
Python
Quality signals
StaleNo testsNo CIThin docsNo licenseNew
InstallMCP + SKILLInstall as a Claude Code skill
Universal installANY TOOL
$ npx skillcity@latest rooney2020/qt-interactive-feedback-mcpAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
# Install into ~/.claude/skills/ mkdir -p ~/.claude/skills/qt-interactive-feedback-mcp curl -fsSL https://raw.githubusercontent.com/rooney2020/qt-interactive-feedback-mcp/main/README.md -o ~/.claude/skills/qt-interactive-feedback-mcp/SKILL.md
Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
qt-interactive-feedback-mcp — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt