A
licenseA
qualityA
maintenanceMCP server for audio transcription using local faster-whisper or OpenAI Whisper API, enabling multilingual transcription with optional GPT post-processing.
3
74 PyPI
MIT
Whisper MCP Server
by jwulff
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TDQS
A4/5.0
Scored across 3 tools
Disambiguation5/5
Each tool has a distinct purpose: downloading models, listing models, and transcribing audio. There is no overlap or ambiguity between them.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern in snake_case (download_whisper_model, list_whisper_models, transcribe_audio).
Tool Count5/5
With 3 tools, the server is well-scoped for its purpose—managing models and transcribing audio. The count is appropriate and avoids being too thin or heavy.
Completeness4/5
The tool set covers the core workflow (model download, listing, transcription) but lacks model deletion or advanced configuration. Still, it is sufficient for basic tasks.
Maintenance
ActivityInactive
ResponsivenessUnresponsive