A
licenseA
qualityC
maintenanceEnables AI models to interact with YouTube content including video details, transcripts, channel information, playlists, and search functionality through the YouTube Data API.
7
12 npm
11
MIT
YouTube MCP Server
by temiedani
Related Servers
Alternatives to YouTube MCP Server
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityCmaintenanceEnables AI assistants to search videos, retrieve transcripts and metadata, analyze channels, and access trending and engagement analytics for YouTube content.19 npm-
- AlicenseNot gradedqualityDmaintenanceEnables AI language models to interact with YouTube content through a standardized interface, providing tools for retrieving video information, transcripts, channel analytics, and trend analysis.298 npm65MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to search videos, read channels, browse playlists, fetch comments, and get transcripts from YouTube using the YouTube Data API v3 and InnerTube API for captions.2GPL 3.0
- AlicenseAqualityDmaintenanceEnables AI tools to access YouTube content, including transcript extraction, video/channel info, and search.49 npmMIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to search videos, channels, and playlists, retrieve video metadata, transcripts, and comments via the YouTube Data API v3.71MIT
TDQS
B3.4/5.0
Scored across 9 tools
Disambiguation5/5
Every tool has a clearly distinct purpose with no ambiguity. The tools cover different aspects of YouTube interaction: content generation (flashcards, quiz, summary), information retrieval (video info, channel details, search), and social features (comments, related videos, trending). Each tool name precisely indicates its unique function.
Naming Consistency4/5
The naming is mostly consistent with a verb_noun pattern (e.g., generate_video_flashcards, get_video_info, summarize_video), but there are minor deviations. Three tools append '_tool' (get_related_videos_tool, get_trending_videos_tool, get_video_comments_tool), which breaks the pattern slightly, though the core naming remains readable and predictable.
Tool Count5/5
With 9 tools, this is well-scoped for a YouTube-focused server. Each tool earns its place by covering distinct functionalities like content analysis, metadata retrieval, and social interactions. The count is neither too sparse nor bloated, fitting typical expectations for a domain-specific server.
Completeness4/5
The tool surface is largely complete for YouTube content interaction, covering key areas such as video summarization, quiz generation, metadata access, and social features. Minor gaps exist, like the inability to post comments or manage playlists, but these are not critical for core agent workflows and can be worked around.
Maintenance
ActivityInactive
ResponsivenessNo issues