# MCP YouTube Transcript Server

> Use this tool when you need to retrieve and analyze video content from YouTube, such as transcripts, metadata, and subtitles, to facilitate tasks like content analysis, language translation, and video processing. It supports multiple languages and automatic paragraph segmentation, making it ideal for processing large volumes of video data. The MCP YouTube Transcript Server provides a convenient interface for fetching and downloading video content, allowing for efficient data analysis and processing.

Canonical page: https://skillsregistry.net/skills/flying3615-mcp-youtube-transcript  
JSON: https://api.skillsregistry.net/v1/skills/flying3615-mcp-youtube-transcript

## Description

A Model Context Protocol server that enables retrieval of transcripts, metadata, and subtitles from YouTube videos. It supports multiple languages, automatic paragraph segmentation, and video downloading to facilitate content analysis and processing.

## Trust

- **Trust score (0–1):** 0.95
- **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/rh44i93t4q)
- **Repository:** <https://github.com/flying3615/mcp-youtube-transcript>

## 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": "flying3615-mcp-youtube-transcript"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/flying3615-mcp-youtube-transcript` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/flying3615-mcp-youtube-transcript/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