# Custom YouTube Transcribe MCP Server

> Custom YouTube Transcribe MCP Server — rroos64-youtube-transcribe-mcp-server. Use this tool when you need to automatically transcribe YouTube videos into plain text, solving the problem of manual transcription and providing an interface to fetch, clean, and manage subtitles with features like transcript retrieval and session-based storage. It takes YouTube video URLs as input and outputs cleaned subtitles in plain text format. Ideal for use cases where accurate and efficient video transcription is required, such as content analysis or accessibility applications.

Canonical page: https://skillsregistry.net/skills/rroos64-youtube-transcribe-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/rroos64-youtube-transcribe-mcp-server

## Description

Fetches YouTube subtitles via yt-dlp, cleans them into plain text, and provides tools for transcript retrieval, file management, and session-based storage with paging.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cpgrwdy1xm)
- **Repository:** <https://github.com/rroos64/youtube_transcribe_mcp_server>

## 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": "rroos64-youtube-transcribe-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rroos64-youtube-transcribe-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rroos64-youtube-transcribe-mcp-server/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