YouTube Transcript DL MCP Server
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- AlicenseAqualityCmaintenanceAn MCP server that enables the extraction of transcripts and detailed metadata from YouTube videos. It allows users to retrieve video information like titles and descriptions, as well as transcripts with optional timestamps and language selection.2MIT
- FlicenseNot gradedqualityDmaintenanceMCP server providing tools to fetch YouTube video transcripts with metadata, supporting direct YouTube transcripts and audio transcription via multiple backends (whisper, AssemblyAI, OpenAI, Gemini).-
- AlicenseAqualityDmaintenanceAn MCP server that enables users to retrieve YouTube transcripts and perform video or channel searches without requiring Google API keys. It supports transcript chunking and provides tools for detailed video content analysis and channel metadata extraction.510 npm4MIT
- AlicenseAqualityBmaintenanceMCP server that extracts YouTube video transcripts, supporting multiple languages and URL formats, for use with AI agents.2MIT
- FlicenseNot gradedqualityBmaintenanceMCP server for fetching YouTube video transcripts and metadata using yt-dlp. It provides tools for transcript retrieval, subtitle listing, video info, and cookie management to bypass YouTube rate limits.-
- AlicenseNot gradedqualityCmaintenanceMCP server for fetching YouTube video transcripts without an API key.GPL 3.0
TDQS
Scored across 7 tools
Each tool has a clearly distinct purpose with no ambiguity: clear_cache handles cache management, format_transcript processes existing data, get_bulk_transcripts extracts from multiple videos, get_cache_stats provides metrics, get_playlist_transcripts targets playlists, get_transcript handles single videos, and list_transcripts enumerates available transcripts. The descriptions clearly differentiate between single-video, multi-video, playlist, cache, and formatting operations.
All tools follow a consistent verb_noun pattern with snake_case throughout: clear_cache, format_transcript, get_bulk_transcripts, get_cache_stats, get_playlist_transcripts, get_transcript, and list_transcripts. The naming is predictable and readable, using verbs like 'clear', 'format', 'get', and 'list' consistently across the set.
With 7 tools, the count is well-scoped for a YouTube transcript server, covering core operations like extraction (single, bulk, playlist), caching, formatting, and listing without bloat. Each tool earns its place by addressing a specific aspect of transcript handling, making the set neither too thin nor too heavy for the domain.
The tool surface is nearly complete for transcript extraction and management, covering key operations: extraction (single, bulk, playlist), cache management (clear, stats), formatting, and listing. A minor gap exists in update or delete operations for transcripts, but agents can work around this, and the core workflows are well-covered for the server's purpose.