Nemotron Transcribe MCP
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- AlicenseNot gradedqualityAmaintenanceEnables transcription and speaker diarization of audio files, interviews, and YouTube URLs, producing speaker-attributed transcripts with timestamps. Supports multiple backends (local Whisper, OpenAI API) and output formats (txt, vtt, srt, json).Apache 2.0

transcript1official
AlicenseNot gradedqualityBmaintenanceEnables AI clients to transcribe YouTube links and uploaded audio or video files, then retrieve the resulting transcripts as text, SRT, VTT, or JSON with timestamps and optional speaker labels. Also supports paging through long transcripts, checking upload progress, listing or deleting jobs, and viewing remaining account minutes.111 npm1MIT- AlicenseNot gradedqualityCmaintenanceEnables local transcription of audio/video files and YouTube URLs, generation of SRT/VTT subtitles, and analysis of speech pacing and audience retention risk using faster-whisper.MIT
- AlicenseNot gradedqualityDmaintenanceEnables intelligent transcription of YouTube videos with automatic optimization for any video length, using local OpenAI Whisper processing and speaker diarization.-
- FlicenseAqualityDmaintenanceEnables high-quality transcription and subtitle generation from local media files or URLs using Faster Whisper on local hardware. It supports automatic language detection and integration with MCP clients for seamless speech-to-text workflows.3-
- AlicenseAqualityBmaintenanceEnables converting video and audio files into transcripts and Traditional Chinese subtitles using Groq Whisper with a pluggable translation backend, including an English-to-Chinese pipeline and a Chinese-to-Taiwanese-Mandarin proofreading pipeline. Transcriptions run as background jobs whose progress, output subtitle paths, and setup status can be queried through the conversation.4MIT
TDQS
Scored across 9 tools
Each tool has a clearly distinct action: transcribe, translate, ask_about_audio, identify_language, and list_languages operate on audio but produce different outputs, while get_job_result, get_job_status, list_jobs, and cancel_job cover distinct job-management roles. The descriptions make the boundaries explicit, so an agent should not confuse them.
All names use snake_case and start with a verb, with get_job_result, get_job_status, list_languages, list_jobs, cancel_job, ask_about_audio, and identify_language following a verb_noun pattern. transcribe and translate are bare verbs rather than verb_noun, a minor inconsistency.
Nine tools is a well-scoped set for transcription, translation, audio QA, language identification, and job management. Each tool has a clear role and none feels redundant.
The surface covers the core lifecycle: submit jobs (transcribe/translate), inspect status, retrieve results, list/cancel jobs, and query language support. Minor gaps include no job deletion or audio metadata tool, but these are not blocking.