A
licenseNot graded
qualityD
maintenanceMCP server that converts videos, audio, and meeting recordings into structured transcripts and summaries with multi-backend ASR and automatic fallback.
MIT
audio-transcriber
Related Servers
Alternatives to audio-transcriber
No user-submitted related servers found.
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Augentofficial
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- AlicenseNot gradedqualityDmaintenanceMCP server for audio transcription with speaker diarization. Transcribes MP3/WAV files using Faster-Whisper and pyannote.audio, outputs markdown with speaker labels, timestamps, summaries, and action items.1MIT
- AlicenseAqualityBmaintenanceMCP server for audio transcription using local faster-whisper or OpenAI Whisper API, enabling multilingual transcription with optional GPT post-processing.3129 PyPIMIT
- FlicenseNot gradedqualityDmaintenanceAn MCP server that provides speech-to-text transcription and speaker diarization using OpenAI Whisper and pyannote.audio.-
TDQS
C2.9/5.0
Scored across 11 tools
Disambiguation2/5
Several tools perform overlapping transcription: transcribe_audio, audio_transcriber_transcribe, audio_ingest_transcription, and transcribe_media_transcribe_segments all transcribe audio with only subtle boundary differences. Recording is also split between transcribe_audio (microphone) and audio_transcriber_record, making tool selection ambiguous.
Naming Consistency2/5
The names mix unprefixed verb_noun forms, audio_transcriber_ prefixed names, and awkward compound names like transcribe_media_transcribe_segments. The convention is inconsistent across the set, though most names remain readable.
Tool Count5/5
Eleven tools is well within the appropriate range for an audio transcription server with streaming, export, and ingestion features. The count is not excessive and each tool could plausibly serve a distinct workflow.
Completeness4/5
The surface covers health checks, file and microphone transcription, streaming controls, export, KG ingestion, and segment output. Minor gaps exist around model configuration, transcript listing, or batch management, but core workflows are represented.
Maintenance
ActivityActive
ResponsivenessSlow