A
licenseNot graded
qualityD
maintenanceEnables speech-to-text and text-to-speech conversion using OpenAI-compatible APIs. Supports customizable models, voices, and output directories.
GPL 3.0
MCP Server Whisper
by arcaputo3
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TDQS
B3.4/5.0
Scored across 8 tools
Disambiguation3/5
Most tools have clear single-action purposes (convert, compress, chat, create, list, get-latest), but transcribe_audio and transcribe_with_enhancement are very similar in function and could be easily confused, despite the enhancement descriptor. Descriptions and usage clues help, but the overlapping transcription surface creates some misselection risk.
Naming Consistency4/5
Tool names generally follow a verb_noun pattern in lowercase snake_case (list_audio_files, convert_audio, compress_audio, create_audio). Slight deviations exist with get_latest_audio, chat_with_audio, and transcribe_with_enhancement, which break the clean noun-object structure, but the pattern remains readable and predictable.
Tool Count5/5
Eight tools cover the full audio processing workflow—file access, format preparation, size handling, transcription, enhanced transcription, chat, and TTS—without unnecessary redundancy. Each tool earns its place and the count is well within the ideal range for a focused MCP server.
Completeness4/5
The surface is quite complete for a Whisper/audio media server: it supports listing, retrieving, converting, compressing, transcribing, enhanced transcription, audio chat, and TTS synthesis. Minor gaps such as no audio preview or batch processing exist, but agents can work around them with available tools.
Maintenance
ActivityInactive
ResponsivenessUnresponsive