# youtube-mcp

> Use this tool when you need to extract and process YouTube video content for large language models (LLMs), solving problems such as data enrichment and content analysis. It takes YouTube video URLs or IDs as input and outputs transcripts, metadata, comments, and channel information. Ideal for use cases requiring extensive YouTube data processing, such as training LLMs or conducting social media research.

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

## Description

Extracts and processes YouTube video content including transcripts, metadata, comments, and channel information for LLMs.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j17qrzc781)
- **Repository:** <https://github.com/OzgunTurkmen/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": "ozgunturkmen-youtube-mcp"
    }
  }
}
```

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