mcp-transkriptor
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- AlicenseAqualityBmaintenanceEnables AI assistants to transcribe audio and video from URLs or local files with high accuracy, speaker diarization, 119 languages, and word-level timestamps, while also supporting transcription management and caption export in SRT, WebVTT, or plain text.1466 npm9MIT

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.287 npm1MIT
txscribe MCP Serverofficial
AlicenseAqualityCmaintenanceEnables AI assistants to transcribe links (YouTube, Google Drive, Dropbox), list and search your recordings for spoken words and moments, and read transcripts in json/txt/srt/vtt, summaries and metadata. It also lets them request new summaries and delete recordings, all through your own account with API-key or OAuth sign-in.8357 npmMIT- AlicenseNot gradedqualityDmaintenanceEnables speech-to-text transcription, text-to-speech synthesis, and audio analysis using Deepgram's AI models. Supports features like speaker diarization, sentiment analysis, language detection, and various audio processing capabilities.2MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to transcribe and summarize videos and voice messages, translate speech while keeping the speaker's voice, read text aloud in a cloned voice, and produce subtitles, lip-synced dubbing, voice changes, and translated images from links, uploads, or local files. It also handles media downloading and job/account status, with paid operations priced and confirmed before they run.MIT
- FlicenseAqualityNot gradedmaintenanceProvides access to Whissle AI services for speech-to-text, speaker diarization, translation, and text summarization. It enables users to process various audio formats and manage text content through natural language tools.5-
TDQS
Scored across 25 tools
Every tool targets a distinct operation on different entities (transcription, file, vocabulary, webhook, knowledgebase), with no overlapping functionality. The descriptions clearly differentiate their purposes.
All tool names follow a consistent verb_noun pattern using snake_case (e.g., create_knowledgebase, list_files, transcribe_url), with no mixing of conventions or vague verbs.
25 tools is on the higher side but still reasonable given the comprehensive feature set (transcription, file management, export, vocabulary, webhooks, knowledgebase, TTS). Each tool serves a clear purpose without bloat.
The tool surface covers core transcription lifecycle, file operations, vocabulary management, webhooks, and knowledgebase chat. Minor gaps like missing cancellation or status polling tools, but overall well-rounded.