A
licenseA
qualityB
maintenanceMCP server for audio transcription using local faster-whisper or OpenAI Whisper API, enabling multilingual transcription with optional GPT post-processing.
3
104 PyPI
MIT
assemblyai-mcp
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TDQS
A3.6/5.0
Scored across 9 tools
Disambiguation5/5
Each tool targets a distinct part of the transcription workflow: upload, transcribe, retrieve, list, subtitles, search, speaker turns, Q&A, and summarization. Even the two transcript-based text tools, ask_transcript and summarize_transcript, are clearly separated by their descriptions.
Naming Consistency4/5
Almost all tools follow a clear verb_noun pattern (upload_file, get_transcript, list_transcripts, ask_transcript). The only minor deviation is 'transcribe', which is a bare verb without an explicit object, but it remains predictable given the server's purpose.
Tool Count5/5
Nine tools is a well-scoped set for a transcription-focused MCP server. Each tool earns its place, covering the main AssemblyAI features without unnecessary duplication or bloat.
Completeness4/5
The set covers the core lifecycle well: upload, transcribe, retrieve, list, subtitles, and several post-processing features. The main gap is the absence of a delete_transcript tool, which prevents full CRUD coverage, but agents can still complete typical transcription workflows.
Maintenance
ActivityStale
ResponsivenessNo issues