youtube-signal-mcp
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Alternatives to youtube-signal-mcp
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Related Servers
- AlicenseAqualityAmaintenanceEnables AI agents to search YouTube like a database, retrieve transcripts and channel data, and mine videos for claims, numbers, and demand signals — without needing an API key.634 npmMIT
- AlicenseAqualityDmaintenanceEnables AI agents to search, watch, summarize, clip, and extract transcripts from YouTube videos, all without needing an API key or leaving the chat.911 npm53Apache 2.0
- AlicenseCqualityBmaintenanceEnables AI agents to search, analyze, and extract insights from YouTube videos including transcripts, visual frames, and benchmarks without requiring API keys. Supports semantic search across playlists, sentiment analysis, and visual content indexing with automatic fallback chains for reliable access.41162 npm35MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to fetch transcripts, metadata, and download videos/audio from YouTube without API keys.32MIT
- AlicenseAqualityAmaintenanceAllows AI agents to fetch, search, and summarize YouTube video transcripts without an API key, including chapter summaries.4MIT

fetchworks-mcpofficial
AlicenseAqualityBmaintenanceEnables AI agents to retrieve YouTube transcripts from individual videos, channels, and search results, supporting multiple output formats such as plain text, SRT, and VTT.319 npmMIT
TDQS
Scored across 4 tools
get_transcript and get_video_info are clearly distinct (content vs metadata). list_channel_videos and watch_channels both retrieve channel videos, but one is a static listing and the other is stateful incremental monitoring, so an agent could briefly confuse them despite clear descriptions.
All tools follow a consistent verb_noun snake_case pattern: get_* for single-resource fetches, list_* for one-shot listing, watch_* for ongoing monitoring. No mixed conventions.
Four tools is well-scoped for a YouTube signal server: single-video transcript/metadata and channel-level listing/monitoring. Each tool serves a distinct need without bloat.
The set covers the core signal workflow: discover new videos via watch_channels/list_channel_videos, then fetch transcript or metadata. Minor gaps exist (no pagination beyond 15, no watchlist management API), but agents can work around them via channels.json.