# youtube-transcript-mcp

> youtube-transcript-mcp — pobibibi-youtube-transcript-mcp. Use this tool when you need to extract relevant information from YouTube videos, as it fetches video transcripts as Markdown files with chapter indexing, allowing LLMs to read specific sections and save context, solving problems of manual transcription and information overload. It takes YouTube video links as input and outputs Markdown transcripts, making it ideal for tasks that require analyzing or referencing video content. This tool is particularly useful when working with large video datasets or needing to quickly identify key information from videos.

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

## Description

Enables fetching YouTube video transcripts as Markdown files with chapter indexing, so LLMs can read only relevant sections and save context.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fenvots4zw)
- **Repository:** <https://github.com/pobibibi/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": "pobibibi-youtube-transcript-mcp"
    }
  }
}
```

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