audiototext-mcp
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AlicenseAqualityCmaintenanceTranscribes audio files by referencing them in chat, using OpenAI's speech-to-text models locally without uploading audio, and supports speaker diarization.1MIT- AlicenseAqualityCmaintenanceEnables MCP clients to transcribe audio/video files locally, generate SRT subtitles, and burn captions into videos via tool calls, without a cloud API.3MIT
- FlicenseAqualityDmaintenanceEnables high-quality transcription and subtitle generation from local media files or URLs using Faster Whisper on local hardware. It supports automatic language detection and integration with MCP clients for seamless speech-to-text workflows.3-
- AlicenseNot gradedqualityAmaintenanceEnables transcription and speaker diarization of audio files, interviews, and YouTube URLs, producing speaker-attributed transcripts with timestamps. Supports multiple backends (local Whisper, OpenAI API) and output formats (txt, vtt, srt, json).Apache 2.0
- AlicenseAqualityCmaintenanceEnables MCP-capable assistants to transcribe local audio files or URLs and perform speaker diarization for Spanish and Portuguese audio, with options for speaker count hints, domain prompts, and transcript retrieval in multiple formats.413 npmMIT
- FlicenseNot gradedqualityCmaintenanceEnables AI agents to transcribe local audio files or URLs into text with timestamps, chunking, and server status checks.-
TDQS
Scored across 1 tool
With only one tool, there is no possibility of confusion. The tool's purpose is clear and distinct by default.
The single tool name 'transcribe_file' follows a clear verb_noun convention. With only one tool, there is no naming inconsistency to evaluate.
A single tool is slightly below the typical 3-15 range, but it is well-scoped for a dedicated audio-to-text server. The tool fully addresses the server's narrow purpose without unnecessary additions.
The tool covers the complete transcription workflow: accepts local audio or video files, returns transcript with timestamps, and supports both local Whisper and OpenAI API backends. There are no obvious missing operations for this domain.