mcp-agent-transcriber
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- AlicenseNot gradedqualityBmaintenanceFetches YouTube video transcripts with timestamps and provides them to LLM agents via MCP, enabling natural language access to video content.42 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
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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.