youtube-mcp
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Alternatives to youtube-mcp
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Related Servers
- AlicenseAqualityCmaintenanceAn MCP server that enables users to retrieve YouTube transcripts and perform video or channel searches without requiring Google API keys. It supports transcript chunking and provides tools for detailed video content analysis and channel metadata extraction.527 npm4MIT
- AlicenseAqualityCmaintenanceAn MCP server that enables the extraction of transcripts and detailed metadata from YouTube videos. It allows users to retrieve video information like titles and descriptions, as well as transcripts with optional timestamps and language selection.2MIT
- FlicenseNot gradedqualityDmaintenanceMCP server for YouTube that provides tools to fetch video metadata and transcripts, enabling natural language queries about YouTube videos.2-
- FlicenseNot gradedqualityDmaintenanceAn MCP server that enables interaction with the YouTube Data API, allowing users to search videos, get video and channel details, analyze trends, and fetch video transcripts.-
- FlicenseNot gradedqualityBmaintenanceMCP server for fetching YouTube video transcripts and metadata using yt-dlp. It provides tools for transcript retrieval, subtitle listing, video info, and cookie management to bypass YouTube rate limits.-
- AlicenseNot gradedqualityBmaintenanceA comprehensive MCP server providing YouTube transcript retrieval, video search, channel browsing, playlist extraction, and upload monitoring for AI agents.11MIT
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose: transcript extracts spoken content, playlist lists videos in a playlist, and video_facts provides metadata. There is no overlap or ambiguity between them.
All tool names follow the same pattern: 'youtube_' prefix followed by a descriptive noun or noun phrase. The naming is consistent and predictable, using lowercase with underscores throughout.
Three tools is a reasonable and well-scoped count for a YouTube-focused MCP server. Each tool covers a core, distinct capability without unnecessary bloat, falling within the typical 3-15 range.
The tool set covers the main YouTube interaction needs: reading transcripts, fetching video metadata, and enumerating playlists. Minor gaps exist (e.g., no search or comment retrieval), but the core workflows are complete and work well together.