mcp-agent-transcriber
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- AlicenseAqualityCmaintenanceEnables MCP clients and agents to fetch YouTube transcripts and caption lists from video IDs or links, preferring manual/auto captions by ordered language preference and falling back to local Faster-Whisper audio transcription when captions are unavailable. Results include source, language, full text and timestamped segments, with CLI exports to JSON, text, SRT and WebVTT, all without paid APIs or API keys.3MIT
- AlicenseNot gradedqualityDmaintenanceFetches YouTube video transcripts with timestamps and provides them to LLM agents via MCP, enabling natural language access to video content.70 npm4MIT
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- AlicenseAqualityCmaintenanceEnables MCP clients to transcribe audio/video files locally, generate SRT subtitles, and burn captions into videos via tool calls, without a cloud API.3MIT
- AlicenseNot gradedqualityAmaintenanceGives MCP clients access to YouTube video transcripts and metadata. It lets AI agents read and summarize video content from a URL.5 npmMIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to download video or audio from YouTube, TikTok, Twitter/X, SoundCloud, Vimeo, Twitch, Streamable, Bandcamp, Mixcloud, and Dailymotion via a hosted MCP server.MIT
TDQS
Scored across 9 tools
Most tools have distinct purposes: metadata, caption listing, transcript fetching, audio download, Whisper status, and transcription. However, fetch_transcript and transcribe_video (with method 'captions') overlap in functionality, though their descriptions clarify the use cases. The get_current_datetime tool is unrelated but not confusable with others.
Naming mixes verb-first patterns (get_current_datetime, list_available_transcripts, fetch_transcript, download_audio, transcribe_file, transcribe_video) with noun-first patterns (video_info, supported_platforms, transcriber_status). Verbs also vary (get, list, fetch, download, transcribe). The inconsistency is noticeable but not chaotic.
Nine tools is reasonable for a transcription server covering platform checks, metadata, caption handling, audio download, and Whisper integration. The inclusion of get_current_datetime feels out of scope but does not significantly bloat the set. The count is well within the typical range for a focused domain.
The server covers the full transcription workflow: verifying platform support, retrieving video metadata, listing captions, fetching caption transcripts, downloading audio, checking Whisper readiness, transcribing local files, and doing end-to-end video transcription. Minor gaps include no explicit language selection for transcribe_video and no file management, but these are not critical for core use.