audio-transcription-mcp
Related Servers
Alternatives to audio-transcription-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityAmaintenanceAI-powered voice transcription app for macOS using WhisperKit165MIT
- AlicenseNot gradedqualityAmaintenanceLocal-first meeting capture and transcription for Claude Code. Records audio from meeting apps, transcribes locally with whisper.cpp, and produces structured notes via Claude.1Apache 2.0
- AlicenseAqualityBmaintenanceEnables voice input for AI coding assistants by recording audio, transcribing it locally with Whisper, and optionally typing the text at the cursor position. Supports multiple languages and works with MCP-compatible tools like OpenCode, Claude Code, and Cursor.38 npm1MIT
- AlicenseNot gradedqualityCmaintenanceLocal MCP server for macOS that captures microphone input and/or system audio output into explicit, user-defined sessions and exposes the raw WAV audio to AI agents through MCP tools.8 npm6MIT
- 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
- AlicenseNot gradedqualityDmaintenanceEnables continuous voice conversation with AI coding assistants by locally transcribing speech with Whisper and delivering utterances as text prompts.1MIT
TDQS
Scored across 8 tools
Each tool targets a distinct action in the transcription lifecycle: start, pause, resume, stop, status check, transcript retrieval, clearing, and deleting. No two tools overlap in purpose, even pause vs. stop and clear vs. cleanup are clearly differentiated by their descriptions.
All tool names follow a consistent verb_noun pattern using snake_case: start_transcription, pause_transcription, get_status, etc. The naming is uniform and predictable, making it easy to infer the function of each tool.
With 8 tools, the set is well-scoped for an audio transcription server. Each tool covers a necessary part of the session lifecycle without redundancy or bloat, fitting comfortably within the ideal range.
The tool set provides full lifecycle coverage: start, manage (pause/resume), monitor (status), retrieve output, and clean up (clear/delete). There are no obvious dead ends or missing operations for the stated purpose.