# qwen-omni-mcp

> qwen-omni-mcp — sommio-qwen-omni-mcp. Use this tool when you need to analyze visual media, such as videos and images, to extract insights and meaning. It solves problems like video and image understanding, summarization, and text extraction through OCR, providing outputs like summarized content and extracted text from visual inputs. Ideal for use cases where AI agents require native video and image analysis capabilities.

Canonical page: https://skillsregistry.net/skills/sommio-qwen-omni-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sommio-qwen-omni-mcp

## Description

Enables Claude Code and other AI agents to understand videos and images via Qwen3.7-Plus, supporting native video analysis, image understanding, and convenience tools like summarization and OCR.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y14jjsk6wc)
- **Repository:** <https://github.com/sommio/qwen-omni-mcp>

## 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": "sommio-qwen-omni-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sommio-qwen-omni-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sommio-qwen-omni-mcp/pull`

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