MCP YouTube Transcript Pro
Related Servers
Alternatives to MCP YouTube Transcript Pro
No user-submitted related servers found.
Related Servers
- FlicenseBqualityNot gradedmaintenanceEnables extraction and processing of YouTube video transcripts from individual videos, channels, and playlists. Supports transcript search, batch processing, multiple output formats (JSON, text, SRT, VTT), and bulk operations across multiple videos.1134 npm-
- FlicenseNot gradedqualityCmaintenanceProvides tools to extract YouTube video transcripts, list available caption languages, and retrieve video metadata such as title, channel, duration, views, and publish date.-
- AlicenseAqualityCmaintenanceFetches YouTube video subtitles and transcripts with support for multiple languages and output formats (SRT, VTT, TXT, JSON).18 npmApache 2.0
- AlicenseNot gradedqualityDmaintenanceEnables retrieval of transcripts from YouTube videos, supporting multiple URL formats, language selection, timestamps, and ad filtering.627 npmMIT
- AlicenseAqualityDmaintenanceEnables fetching, searching, and summarizing YouTube video transcripts with multi-language support.4MIT
- AlicenseAqualityDmaintenanceRetrieves transcripts from YouTube videos with support for multiple languages, timestamp control, and language detection. Enables video content analysis, summarization, and quote extraction without manually downloading or watching videos.264 npm15MIT
TDQS
Scored across 4 tools
Each tool serves a clearly distinct purpose: list_tracks enumerates available caption tracks, get_video_info retrieves metadata, get_transcript returns plain text, and get_timed_transcript provides timestamped segments. There is no overlap or ambiguity, as descriptions explicitly differentiate between plain and timed transcripts.
All tool names follow a consistent verb_noun pattern using snake_case (get_timed_transcript, get_transcript, get_video_info, list_tracks). The verbs 'get' and 'list' are standard and unambiguous, creating a predictable naming scheme.
Four tools are well-suited for a YouTube transcript server, covering core functionality without unnecessary bloat. The count is sufficient for the domain and allows agents to efficiently accomplish transcript-related tasks.
The toolset covers the full lifecycle of transcript retrieval: listing available tracks, fetching metadata, and retrieving both plain and timestamped transcripts. No essential operations are missing for the stated domain.