F
licenseNot graded
qualityD
maintenanceAn MCP server that provides speech-to-text transcription and speaker diarization using OpenAI Whisper and pyannote.audio.
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Whissle MCP Server
by WhissleAI
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TDQS
A3.9/5.0
Scored across 5 tools
Disambiguation4/5
Most tools have distinct purposes: diarize_speech adds speaker identification to transcription, speech_to_text is basic transcription, list_asr_models provides metadata, summarize_text and translate_text handle text processing. However, diarize_speech and speech_to_text share significant overlap in core transcription functionality, which could cause confusion about when to use each.
Naming Consistency5/5
All tools follow a consistent verb_noun naming pattern with snake_case throughout: diarize_speech, list_asr_models, speech_to_text, summarize_text, and translate_text. The naming is predictable and follows the same grammatical structure across all five tools.
Tool Count4/5
Five tools is reasonable for a speech/text processing server, covering transcription (with and without diarization), model listing, summarization, and translation. The count feels slightly thin for a comprehensive MCP server but adequately covers core functionality without being overwhelming.
Completeness3/5
The server covers basic speech-to-text workflows and text processing operations, but has notable gaps. There's no text-to-speech capability, no audio file manipulation tools, and no batch processing operations. While the existing tools handle individual tasks, the surface feels incomplete for a comprehensive speech/text processing domain.
Maintenance
ActivityInactive
ResponsivenessNo issues