# YouTube Transcription

> Use this tool when you need to automatically extract text from YouTube videos for analysis or reference. It solves the problem of manual transcription by accepting a video URL as input and returning the full transcript text as output. Ideal for applications requiring efficient processing of YouTube video content, such as data mining, sentiment analysis, or content summarization.

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

## Description

A server implementation that enables AI assistants to extract transcriptions from YouTube videos through a simple interface. Built by Sean Lee using the youtube-transcript library, it exposes a single tool that accepts a video URL and returns the full transcript text. This implementation is particularly useful for applications that need to analyze or reference YouTube video content without manual transcription work.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/youtube-transcription)
- **Repository:** <https://github.com/seanlee10/server-youtube-transcription>

## 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": "youtube-transcription"
    }
  }
}
```

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