# yt-subs

> Use this tool when you need to extract text transcripts from YouTube videos for analysis, translation, or accessibility purposes. It solves the problem of manually transcribing video content by utilizing subtitles to generate clean text outputs. The tool takes a YouTube video as input and returns a plain text transcript as output.

Canonical page: https://skillsregistry.net/skills/jvsteiner-yt-subs-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jvsteiner-yt-subs-mcp

## Description

Extracts clean text transcripts from YouTube videos using their subtitles and returns them as plain text.

## 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/dcl2ztmrti)
- **Repository:** <https://github.com/jvsteiner/yt-subs-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": "jvsteiner-yt-subs-mcp"
    }
  }
}
```

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