youtube-mcp
Related Servers
Alternatives to youtube-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityBmaintenanceExtract YouTube transcripts for AI agents, RAG pipelines, and LLM workflows. Supports any YouTube URL. Returns clean text or timestamped segments. No API keys required.14MIT
- AlicenseAqualityBmaintenanceEnables AI agents to search videos, retrieve metadata and transcripts, pinpoint exact moments via hybrid semantic search, and conduct multi-video research with timestamp deep links—all without YouTube API keys.51MIT
- AlicenseAqualityAmaintenanceAllows AI agents to fetch, search, and summarize YouTube video transcripts without an API key, including chapter summaries.4MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to fetch transcripts, metadata, and download videos/audio from YouTube without API keys.32MIT
- 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
- AlicenseAqualityAmaintenanceYouTube transcripts as token-efficient AI context. One fetch, cached. No yt-dlp, no API keys, no system dependencies. ~50 KB per video, instant re-reads from local cache.21MIT
TDQS
Scored across 4 tools
Each tool has a clearly distinct role: get_info probes metadata, get_transcript fetches and saves the transcript, search_transcript finds matching cues, and get_segment extracts a specific time range. No two tools overlap in purpose.
All tool names follow a consistent verb_noun pattern with lowercase and underscores: get_info, get_transcript, search_transcript, get_segment. The style is uniform and predictable.
Four tools is an appropriate size for a focused transcript retrieval and search server. Each tool serves a distinct step in the workflow without unnecessary redundancy.
The tool set covers the full lifecycle: probe video info, fetch transcript, search within it, and extract specific segments. There are no obvious gaps for the stated purpose of retrieving and navigating video transcripts.