Individual skill
qwen-mm-plugins-api
Understand images, video, and audio using hosted or self-hosted model services through MCP tools. Use for visual questions, OCR, object grounding, speech transcription, speaker diarization, timestamped captions, event localization/counting, music captioning, or segmentation. Includes VL and Omni model tools, general-purpose Omni chat, transcribe_audio (Qwen3-ASR), and segmentation (SAM3).
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# Media Understanding
Use `qwen-mm-plugins-api` to understand media through configured model services. The tools are grouped by model family:
- **VL model** (Qwen-VL, OpenAI-compatible endpoint): `vision_chat`, `ocr`, `grounding`.
- **Omni model** (Qwen-Omni — combines video frames and audio): `perceive_media`, `omni_asr`, `omni_asr_timestamped`, `omni_multi_speaker_asr`, `omni_av_caption`, `omni_av_grounding`, `omni_av_counting`, `omni_music_caption`.
- **Other services**: `transcribe_audio` (Qwen3-ASR), `segmentation` (a SAM3 server).
Check the `qwen-mm-plugins-api` tools in your tool list for full schemas and parameters. For file reading, rendering, or metadata inspection, use `core`.
## When to Use Which Tool
**VL model** (single images/videos, spatial reasoning):