YouTube Transcript MCP Server
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Alternatives to YouTube Transcript MCP Server
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Related Servers
- AlicenseAqualityDmaintenanceEnables fetching, searching, and analyzing YouTube video transcripts in multiple languages using yt-dlp. Supports timestamp filtering, language detection, and transcript summaries with robust error handling for production use.4MIT
- FlicenseNot gradedqualityDmaintenanceEnables LLMs to interact with YouTube videos by fetching transcripts, summarizing content, and answering questions based on video context.-
- AlicenseNot gradedqualityCmaintenanceEnables retrieval of transcripts from YouTube videos, supporting multiple URL formats, language selection, timestamps, and ad filtering.708 npmMIT
- FlicenseDqualityDmaintenanceEnables AI assistants to fetch and analyze transcripts from YouTube videos using video IDs or URLs, with support for multiple language preferences.1-
- 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-
- AlicenseAqualityDmaintenanceEnables AI assistants to fetch YouTube video transcripts with precise timestamps, multi-language support, and time-range filtering.31MIT
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: fetching full transcripts, listing available languages, searching within a transcript, and summarizing a transcript. There is no overlap or ambiguity between them.
All tool names follow a consistent verb_noun pattern in snake_case (get_transcript, get_available_languages, search_transcript, get_transcript_summary). The verbs vary appropriately based on action, but the naming convention is uniform and predictable.
With only 4 tools, the server is tightly scoped to transcript-related operations. Each tool serves a distinct and necessary function for the domain, making the count appropriate and well-balanced.
The tool set covers the core transcript workflow: retrieval, language discovery, searching, and summarization. There are no obvious dead ends or missing operations for a transcript-focused MCP server.