# YouTube Captions

> Use this tool when you need to extract and transform YouTube video content, such as fetching video metadata or converting captions to markdown transcripts. It solves problems related to content analysis, research, and transcript creation, accepting video URLs or IDs as input and outputting customizable markdown transcripts. Ideal for use cases where readable video transcripts or metadata are required, such as research, education, or content summarization.

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

## Description

YouTube MCP Server provides tools for extracting and transforming YouTube video content, enabling AI assistants to fetch video metadata, captions in multiple languages, and convert transcripts to markdown with customizable templates. Built with TypeScript and the YouTube Data API, it supports both API key and OAuth2 authentication methods for accessing public and private videos. The server includes search functionality within captions, chapter extraction, and three built-in markdown templates (basic, detailed, and search), making it particularly useful for content analysis, research, and creating readable transcripts from video content.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/nattyraz-youtube-captions)
- **Repository:** <https://github.com/nattyraz/youtube-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": "nattyraz-youtube-captions"
    }
  }
}
```

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