# MCP-Youtube

> MCP-Youtube — win2013-mcp-youtube. Use this tool when you need to integrate YouTube functionality with large language models, enabling capabilities such as video analysis, comment processing, or content generation. It solves problems related to multimedia data processing, natural language understanding, and content creation. This tool accepts inputs like video IDs, keywords, or text prompts and outputs processed data, summaries, or generated content, making it ideal for applications like video summarization, sentiment analysis, or automated content creation.

Canonical page: https://skillsregistry.net/skills/win2013-mcp-youtube  
JSON: https://api.skillsregistry.net/v1/skills/win2013-mcp-youtube

## Description

MCP Youtube for Large Language Models

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/win2013/MCP-Youtube)

## 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": "win2013-mcp-youtube"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/win2013-mcp-youtube` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/win2013-mcp-youtube/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