A
licenseA
qualityC
maintenanceLocal, private audio transcription MCP server enabling AI agents to transcribe audio files entirely on-device without uploading data.
3
MIT
crispasr-agent-transcriber
by EmiyaKatuz
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TDQS
B3.4/5.0
Scored across 10 tools
Disambiguation4/5
Most tools are clearly separated by domain: server health/backends, model management, language detection, and transcription tasks. The main ambiguity is between transcribe_video and understand_video, since both transcribe local video, and crispasr_backends vs crispasr_health both report server state.
Naming Consistency3/5
The set is readable and consistently snake_case, but conventions are mixed: crispasr_backends and crispasr_health are noun-style, crispasr_* management tools use verb_noun, transcribe_* forms its own group, and understand_video is a vague outlier.
Tool Count5/5
10 tools is well within the ideal range and each area of the domain—server health, backends, models, language detection, audio/video transcription, batch processing, and agent context—is represented. The size fits the server's scope without feeling bloated.
Completeness4/5
The core workflow is covered end-to-end: check the server, download models, resolve paths, detect language, and transcribe individual or batch media files. Minor gaps exist, such as no model removal tool and no explicit management/retrieval for the agent context persisted by understand_video.
Maintenance
ActivityInactive
ResponsivenessUnresponsive