media MCP Server
This is an MCP server that allows you to directly download transcripts of YouTube videos.
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1. Install the package
npx @kimtaeyoon83/mcp-server-youtube-transcript
2. Add to claude_desktop_config.json
{
"mcpServers": {
"youtube transcript mcp": {
"command": "npx",
"args": [
"@kimtaeyoon83/mcp-server-youtube-transcript"
]
}
}
}Config file location: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) / %APPDATA%\Claude\claude_desktop_config.json (Windows)
Content researchers, AI engineers, and documentation specialists who need to programmatically extract and analyze video content. Developers building knowledge bases, transcription pipelines, or AI applications that require clean, structured video text data without external API dependencies.
Index YouTube video transcripts into your documentation system or vector database, enabling full-text search across video content without watching hours of footage.
Gather large volumes of transcribed video content for training speech recognition, NLP, or domain-specific language models with proper timestamps and metadata.
Feed raw transcripts into your AI pipeline to automatically create summaries, extract key moments, or generate chapter descriptions with optional timestamp references.
Convert entire course playlists or educational channel archives into structured text data for accessibility, translation, or content analysis workflows.
No. The server has zero external dependencies for transcript fetching, meaning you don't need YouTube API keys or OAuth setup. It works directly with public video URLs or IDs.
Yes. You can specify a language code (e.g., 'ko' for Korean, 'en' for English) via the `lang` parameter. The server automatically falls back to available languages if your requested language isn't available for that video.
Enable the `strip_ads` option (default: true) to automatically filter out sponsorships, ads, and promotional content based on chapter markers. This keeps your extracted text clean for analysis.
The server supports standard YouTube video URLs, YouTube Shorts URLs, and bare video IDs, giving you flexibility in how you pass video references to your application.
transcripts from YouTube videos
timestamps for referencing specific moments
metadata in responses
(boolean, optional, default: true): Filter out sponsorships, ads, and promotional content from transcript based on chapter markers
external dependencies for transcript fetching
- `url` (string, required): YouTube video URL, Shorts URL, or video ID
(boolean, optional, default: false): Include timestamps in output (e.g., '[0:05] text')
for multiple video URL formats (including YouTube Shorts)
(string, optional, default: "en"): Language code for transcript (e.g., 'ko', 'en'). Automatically falls back to available languages if requested language is not found.
See how YouTube Transcript MCP fits into curated workflow stacks, not just adjacent tools.
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