YouTube MCP Server
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Alternatives to YouTube MCP Server
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Related Servers
- FlicenseNot gradedqualityDmaintenanceEnables LLMs to interact with YouTube videos by fetching transcripts, summarizing content, and answering questions based on video context.-
- AlicenseBqualityFmaintenanceEnables AI assistants to analyze and summarize YouTube videos by extracting captions, subtitles, and comprehensive metadata including title, description, and duration in multiple languages.128 npm62MIT
- 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.-
- FlicenseAqualityCmaintenanceEnables fetching YouTube video transcripts with metadata, including timed captions in multiple formats (JSON, SRT, VTT, CSV, TXT) and preprocessing options.41-
- AlicenseBqualityCmaintenanceEnables extraction of transcripts, keyword-based video search with metadata retrieval, and channel information discovery from YouTube videos through natural language interaction.34MIT
- AlicenseNot gradedqualityDmaintenanceExtracts captions, metadata, and descriptions from YouTube videos to enable AI assistants to summarize their content.7 npmMIT
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool has a clear and distinct purpose focused on retrieving transcripts from YouTube.
A single tool inherently has perfect naming consistency as there are no other tools to compare it against. The tool name 'get_transcript' follows a clear verb_noun pattern.
One tool is too few for a server named 'YouTube MCP Server', which suggests a broader scope. A single transcript retrieval tool feels incomplete for typical YouTube operations like searching videos, listing playlists, or managing uploads.
The tool surface is severely incomplete for a YouTube server. It only covers transcript retrieval, with no tools for core YouTube functionalities such as video search, metadata retrieval, playlist management, or user interactions, leaving significant gaps.