youtube-fetcher-to-markdown MCP — Anwendungsfälle, Installieren & Live-Demo

Warum nutzen

Hauptfunktionen

Any YouTube URL format accepted (short, embed, playlist, watch)
YAML frontmatter for Obsidian Dataview querying across transcripts
Optional timestamps, language choice, JSON/SRT output
Chapter-aware markdown when the video has chapters
File naming with date + slug + video ID for stable sorting

Live-Demo

In der Praxis

youtube-fetcher-to-markdown-skill.replay ▶ bereit

0/0

Installieren

Wählen Sie Ihren Client

~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "youtube-fetcher-to-markdown-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/JimmySadek/youtube-fetcher-to-markdown",
        "~/.claude/skills/youtube-fetcher-to-markdown"
      ],
      "_inferred": true
    }
  }
}

Öffne Claude Desktop → Settings → Developer → Edit Config. Nach dem Speichern neu starten.

~/.cursor/mcp.json · .cursor/mcp.json

{
  "mcpServers": {
    "youtube-fetcher-to-markdown-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/JimmySadek/youtube-fetcher-to-markdown",
        "~/.claude/skills/youtube-fetcher-to-markdown"
      ],
      "_inferred": true
    }
  }
}

Cursor nutzt das gleiche mcpServers-Schema wie Claude Desktop. Projektkonfiguration schlägt die globale.

VS Code → Cline → MCP Servers → Edit

{
  "mcpServers": {
    "youtube-fetcher-to-markdown-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/JimmySadek/youtube-fetcher-to-markdown",
        "~/.claude/skills/youtube-fetcher-to-markdown"
      ],
      "_inferred": true
    }
  }
}

Klicken Sie auf das MCP-Servers-Symbol in der Cline-Seitenleiste, dann "Edit Configuration".

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "youtube-fetcher-to-markdown-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/JimmySadek/youtube-fetcher-to-markdown",
        "~/.claude/skills/youtube-fetcher-to-markdown"
      ],
      "_inferred": true
    }
  }
}

Gleiche Struktur wie Claude Desktop. Windsurf neu starten zum Übernehmen.

~/.continue/config.json

{
  "mcpServers": [
    {
      "name": "youtube-fetcher-to-markdown-skill",
      "command": "git",
      "args": [
        "clone",
        "https://github.com/JimmySadek/youtube-fetcher-to-markdown",
        "~/.claude/skills/youtube-fetcher-to-markdown"
      ]
    }
  ]
}

Continue nutzt ein Array von Serverobjekten statt einer Map.

~/.config/zed/settings.json

{
  "context_servers": {
    "youtube-fetcher-to-markdown-skill": {
      "command": {
        "path": "git",
        "args": [
          "clone",
          "https://github.com/JimmySadek/youtube-fetcher-to-markdown",
          "~/.claude/skills/youtube-fetcher-to-markdown"
        ]
      }
    }
  }
}

In context_servers hinzufügen. Zed lädt beim Speichern neu.

claude mcp add youtube-fetcher-to-markdown-skill -- git clone https://github.com/JimmySadek/youtube-fetcher-to-markdown ~/.claude/skills/youtube-fetcher-to-markdown

Einzeiler. Prüfen mit claude mcp list. Entfernen mit claude mcp remove.

Anwendungsfälle

Praxisnahe Nutzung: youtube-fetcher-to-markdown

Archive a YouTube lecture series as a searchable Obsidian vault

👤 Self-learners and researchers ⏱ ~20 min beginner

Wann einsetzen: You're studying from YouTube and want to search across 20+ videos later.

Voraussetzungen

Skill cloned — git clone https://github.com/JimmySadek/youtube-fetcher-to-markdown ~/.claude/skills/youtube-fetcher-to-markdown
yt-dlp or equivalent installed — brew install yt-dlp

Ablauf

Fetch a playlist's transcripts

youtube-fetcher-to-markdown — fetch every video in playlist <URL>, include timestamps, source=cs-course.✓ Kopiert

→ ~/yt_transcripts/ fills with per-video markdown files, all tagged source: cs-course
Query via Dataview

In Obsidian, write a Dataview query listing all cs-course videos sorted by upload date.✓ Kopiert

→ Dataview returns the set because the frontmatter is consistent

Ergebnis: A queryable knowledge base you can grep, tag, and cross-link.

Fallstricke

Some videos have no captions and the transcript is empty — Check the skill's log; fall back to Whisper locally for those

Kombinieren mit: filesystem

Turn a YouTube talk into a blog post draft

👤 Creators repurposing content ⏱ ~25 min beginner

Wann einsetzen: Your talk went up; you want a written version for SEO.

Ablauf

Fetch the transcript

youtube-fetcher-to-markdown <URL> with chapters and timestamps.✓ Kopiert

→ Markdown with chapter-delimited sections
Rewrite as blog

Now draft a blog post from this transcript.✓ Kopiert

→ Structured post using the chapters as section anchors

Ergebnis: Draft-quality blog post based on your own talk.

Kombinieren mit: seo-blog-writer-claude-skill

Kombinationen

Mit anderen MCPs für 10-fache Wirkung

youtube-fetcher-to-markdown-skill + filesystem

Route transcripts into a specific Obsidian vault folder with custom naming

Save fetched transcripts to ~/obsidian/sources/youtube/.✓ Kopiert

youtube-fetcher-to-markdown-skill + seo-blog-writer-claude-skill

Fetch transcript → generate blog post in one chain

Fetch the transcript for <URL>, then seo-blog-writer target keyword 'X'.✓ Kopiert

youtube-fetcher-to-markdown-skill + claude-content-writer-skill

Turn transcripts into newsletters in your brand voice

Fetch transcript, then claude-content-writer newsletter version in my voice profile.✓ Kopiert

Werkzeuge

Was dieses MCP bereitstellt

Werkzeug	Eingaben	Wann aufrufen
fetch_single	URL + options (timestamps, lang, format, source)	One video at a time
fetch_playlist	playlist URL + options	Bulk archiving
export_json	URL	You want the data in a non-markdown pipeline

Kosten & Limits

Was der Betrieb kostet

API-Kontingent: YouTube has no explicit scrape quota for captions but be reasonable
Tokens pro Aufruf: Proportional to video length
Kosten in €: Free — skills are local files
Tipp: For very long videos, use JSON export + snippet extraction instead of loading full transcripts into context.

Sicherheit

Rechte, Secrets, Reichweite

Credential-Speicherung: No credentials — pure prompts

Datenabfluss: Fetches from YouTube. No data leaves your machine afterward.

Respect YouTube's ToS and creators' rights when redistributing transcripts.
Don't rely on auto-captions as ground truth for quotes — they have errors.

Fehlerbehebung

Häufige Fehler und Lösungen

Skill not invoked — Claude summarizes without fetching

Say 'fetch the transcript using youtube-fetcher-to-markdown' explicitly.

Prüfen: ls ~/.claude/skills/youtube-fetcher-to-markdown/SKILL.md

SKILL.md frontmatter wrong

Re-clone; description drives activation.

Prüfen: head ~/.claude/skills/youtube-fetcher-to-markdown/SKILL.md

Wrong trigger keywords — transcript has no timestamps

Pass --timestamps explicitly in the prompt.

Alternativen

youtube-fetcher-to-markdown vs. andere

Alternative	Wann stattdessen	Kompromiss
Whisper (local)	No captions available on the video	Needs GPU or patience; better accuracy on accented speech
Online transcript sites	One-off copy-paste	No Obsidian integration, no structured frontmatter

Mehr

Ressourcen

📖 Offizielle README auf GitHub lesen

🐙 Offene Issues ansehen

🔍 Alle 400+ MCP-Server und Skills durchsuchen