# YouTube Transcript MCP Server

> Use this tool when you need to extract subtitle data from YouTube videos to analyze or utilize their content. It solves the problem of accessing video transcripts in multiple languages, enabling AI models to process and understand video data. The tool takes YouTube video URLs as input and outputs extracted transcripts, making it ideal for natural language processing and content analysis tasks.

Canonical page: https://skillsregistry.net/skills/kyungpyo-kim-youtube-transcript-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kyungpyo-kim-youtube-transcript-mcp

## Description

Enables AI models like Claude to easily access and utilize subtitle data from YouTube videos by extracting transcripts from video URLs with support for multiple languages.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pxzj8924pe)
- **Repository:** <https://github.com/Kyungpyo-Kim/youtube_transcript_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": "kyungpyo-kim-youtube-transcript-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kyungpyo-kim-youtube-transcript-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kyungpyo-kim-youtube-transcript-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
