# YouTube Transcript Downloader

> YouTube Transcript Downloader — com-youtubetranscriptdownload-transcripts. Use this tool when you need to extract and clean transcripts from YouTube videos, channels, or playlists, and require AI-powered caption cleanup to improve accuracy. It solves the problem of manually transcribing YouTube content, providing a convenient interface for inputting video, channel, or playlist IDs and outputting cleaned transcripts. Ideal for use cases where accurate text representation of YouTube audio is necessary, such as data analysis, content creation, or accessibility enhancements.

Canonical page: https://skillsregistry.net/skills/com-youtubetranscriptdownload-transcripts  
JSON: https://api.skillsregistry.net/v1/skills/com-youtubetranscriptdownload-transcripts

## Description

Clean YouTube transcripts for agents: single videos, channels, playlists, plus AI caption cleanup.

## 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:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.youtubetranscriptdownload%2Ftranscripts)

## Use it

MCP endpoint published by the skill: `https://youtubetranscriptdownload.com/api/mcp`

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": "com-youtubetranscriptdownload-transcripts"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-youtubetranscriptdownload-transcripts` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-youtubetranscriptdownload-transcripts/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
