# youtube-mcp-server

> youtube-mcp-server — 2shin0-youtube-mcp-server. Use this tool when you need to collect YouTube data for analysis or monitoring purposes, solving problems related to video performance tracking, audience engagement, and content optimization. It provides an interface for inputting YouTube-related queries and outputs collected data for further analysis. Ideal for use cases involving YouTube data extraction, such as social media monitoring or market research, with integration capabilities via git.

Canonical page: https://skillsregistry.net/skills/2shin0-youtube-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/2shin0-youtube-mcp-server

## Description

🎥 YouTube data collection MCP

## Trust

- **Trust score (0–1):** 0.94
- **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/2shin0/youtube-mcp-server)

## 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": "2shin0-youtube-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/2shin0-youtube-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/2shin0-youtube-mcp-server/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