# yt-data-v3-mcp

> Use this tool when you need to manage and retrieve data from YouTube using version 3 of the YouTube Data API, solving problems related to video and channel data extraction. It provides an interface for inputting API requests and outputs relevant data, such as video metadata and comments. Ideal for use cases involving YouTube data analysis, this tool streamlines the process of fetching and processing YouTube data.

Canonical page: https://skillsregistry.net/skills/midwest-yt-data-v3-mcp  
JSON: https://api.skillsregistry.net/v1/skills/midwest-yt-data-v3-mcp

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/midwest/yt-data-v3-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": "midwest-yt-data-v3-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/midwest-yt-data-v3-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/midwest-yt-data-v3-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