Youtube MCP Server
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- AlicenseNot gradedqualityDmaintenanceExtracts captions, metadata, and descriptions from YouTube videos to enable AI assistants to summarize their content.7 npmMIT
- 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
- AlicenseAqualityDmaintenanceEnables AI assistants to search YouTube, fetch transcripts, and get AI summaries of videos without API keys.35 npmMIT
- AlicenseAqualityAmaintenanceConnect AI assistants to YouTube: search, transcripts, metadata, and more.1957 npm6MIT
- FlicenseNot gradedqualityDmaintenanceEnables LLMs to interact with YouTube videos by fetching transcripts, summarizing content, and answering questions based on video context.-
- AlicenseBqualityDmaintenanceEnables AI assistants to search YouTube videos using the official YouTube Data API v3, extract full video transcripts in multiple languages, and store/retrieve video summaries using a local database.4MIT
TDQS
Scored across 1 tool
With only one tool, there is no possibility of confusion or overlap between tools. The tool has a single, clear purpose that is distinct by default.
The single tool name follows a clear verb_noun pattern (DownloadClosedCaptions), and with no other tools, consistency is inherently perfect. There are no deviations or mixed conventions to evaluate.
A single tool for a YouTube server is too few for the apparent scope, as YouTube involves many operations like searching videos, getting metadata, or managing playlists. This feels thin and incomplete for the domain.
The tool surface is severely incomplete for a YouTube server. It only covers downloading closed captions, with no support for core YouTube functionalities such as video search, retrieval, or interaction, leading to significant gaps and agent failures.