/ Annuaire / Playground / youtube-fetcher-to-markdown
← Tous les serveurs ↗ GitHub
● Communauté JimmySadek ⚡ Instantané

youtube-fetcher-to-markdown

par JimmySadek · JimmySadek/youtube-fetcher-to-markdown

Turn any YouTube URL into a queryable Markdown note — YAML frontmatter, chapters, full transcript, Obsidian-ready.

JimmySadek/youtube-fetcher-to-markdown converts YouTube videos into structured Markdown in ~/yt_transcripts/. Accepts URLs in any format. Options: --timestamps (temporal markers), --lang (caption language), --format (json / srt), --source (project tag). Output includes YAML frontmatter (title, channel, id, date, duration, language), full description with links, chapter timestamps, and transcript. Frontmatter lets Obsidian Dataview query your entire transcript library.

▶ Voir la démo 📦 Installer 💡 Cas d'usage

Pourquoi l'utiliser

Fonctionnalités clés

Démo en direct

Aperçu en pratique

youtube-fetcher-to-markdown-skill.replay ▶ prêt
0/0

Installation

Dépôt de l’auteur · Documentation officielle des Skills Claude

Cas d'usage

Usages concrets : youtube-fetcher-to-markdown

Archive a YouTube lecture series as a searchable Obsidian vault

👤 Self-learners and researchers ⏱ ~20 min beginner

Quand l'utiliser : You're studying from YouTube and want to search across 20+ videos later.

Déroulement
  1. Fetch a playlist's transcripts
    youtube-fetcher-to-markdown — fetch every video in playlist <URL>, include timestamps, source=cs-course.✓ Copié
    → ~/yt_transcripts/ fills with per-video markdown files, all tagged source: cs-course
  2. Query via Dataview
    In Obsidian, write a Dataview query listing all cs-course videos sorted by upload date.✓ Copié
    → Dataview returns the set because the frontmatter is consistent

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

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

Turn a YouTube talk into a blog post draft

👤 Creators repurposing content ⏱ ~25 min beginner

Quand l'utiliser : Your talk went up; you want a written version for SEO.

Déroulement
  1. Fetch the transcript
    youtube-fetcher-to-markdown <URL> with chapters and timestamps.✓ Copié
    → Markdown with chapter-delimited sections
  2. Rewrite as blog
    Now draft a blog post from this transcript.✓ Copié
    → Structured post using the chapters as section anchors

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

Combiner avec : seo-blog-writer-claude-skill

Combinaisons

Associez-le à d'autres MCPs pour un effet X10

youtube-fetcher-to-markdown-skill + filesystem

Route transcripts into a specific Obsidian vault folder with custom naming

Save fetched transcripts to ~/obsidian/sources/youtube/.✓ Copié
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'.✓ Copié
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.✓ Copié

Outils

Ce que ce MCP expose

OutilEntréesQuand appelerCoût
fetch_single URL + options (timestamps, lang, format, source) One video at a time 0
fetch_playlist playlist URL + options Bulk archiving 0
export_json URL You want the data in a non-markdown pipeline 0

Coût et limites

Coût d'exécution

Quota d'API
YouTube has no explicit scrape quota for captions but be reasonable
Tokens par appel
Proportional to video length
Monétaire
Free — skills are local files
Astuce
For very long videos, use JSON export + snippet extraction instead of loading full transcripts into context.

Sécurité

Permissions, secrets, portée

Stockage des identifiants : No credentials — pure prompts
Sortie de données : Fetches from YouTube. No data leaves your machine afterward.

Dépannage

Erreurs courantes et correctifs

Wrong trigger keywords — transcript has no timestamps

Pass --timestamps explicitly in the prompt.

Alternatives

youtube-fetcher-to-markdown vs autres

AlternativeQuand l'utiliserCompromis
Whisper (local)No captions available on the videoNeeds GPU or patience; better accuracy on accented speech
Online transcript sitesOne-off copy-pasteNo Obsidian integration, no structured frontmatter

Plus

Ressources

📖 Lire le README officiel sur GitHub

🐙 Voir les issues ouvertes

🔍 Parcourir les 400+ serveurs MCP et Skills