# YouTube Vision

> Use this tool when you need to analyze YouTube videos and extract valuable insights, such as descriptions, summaries, and key moments, to enhance your video interactions. It solves problems related to video content analysis, providing effortless extraction of relevant information. With the Gemini Vision API, it takes YouTube video inputs and outputs concise summaries and key moments, ideal for use cases requiring efficient video analysis.

Canonical page: https://skillsregistry.net/skills/minbang930-youtube-vision-mcp  
JSON: https://api.skillsregistry.net/v1/skills/minbang930-youtube-vision-mcp

## Description

Analyze YouTube videos and extract insights using the Gemini Vision API. Get descriptions, summaries, and key moments effortlessly to enhance your video interactions.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** social-media
- **Updated:** 2026-05-13

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/minbang930/youtube-vision-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": "minbang930-youtube-vision-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/minbang930-youtube-vision-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/minbang930-youtube-vision-mcp/pull`

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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