# youtube-mcp

> Use this tool when you need to analyze YouTube videos and extract relevant visual and audio information. It solves problems related to video understanding and transcription by providing dense frame-transcript interleaving, enabling AI models to better comprehend video content. The tool takes YouTube videos as input and outputs paired frames with exact spoken words at corresponding timestamps.

Canonical page: https://skillsregistry.net/skills/coah80-youtube-mcp  
JSON: https://api.skillsregistry.net/v1/skills/coah80-youtube-mcp

## Description

Enables AI assistants to watch YouTube videos by extracting frames at scene changes and visual references, pairing each frame with the exact words spoken at that timestamp. Provides dense frame-transcript interleaving for any model.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x2gc1ajemx)
- **Repository:** <https://github.com/coah80/youtube-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": "coah80-youtube-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/coah80-youtube-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/coah80-youtube-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