faster-whisper-mcp
Related Servers
Alternatives to faster-whisper-mcp
No user-submitted related servers found.
Related Servers
- 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
- AlicenseAqualityFmaintenanceProvides local audio transcription using whisper.cpp, supporting multiple models and audio formats. Enables transcription of audio files via MCP tools with optional timestamps.3792 npm3MIT
- AlicenseAqualityAmaintenanceMCP server for audio transcription using local faster-whisper or OpenAI Whisper API, enabling multilingual transcription with optional GPT post-processing.374 PyPIMIT
- AlicenseNot gradedqualityCmaintenanceEnables local transcription of audio/video files and YouTube URLs, generation of SRT/VTT subtitles, and analysis of speech pacing and audience retention risk using faster-whisper.MIT
- AlicenseNot gradedqualityDmaintenanceMCP server for audio transcription with speaker diarization. Transcribes MP3/WAV files using Faster-Whisper and pyannote.audio, outputs markdown with speaker labels, timestamps, summaries, and action items.1MIT
- AlicenseAqualityCmaintenanceMCP server for local speech-to-text using Whisper Large V3 (MLX), enabling audio transcription with text/timestamps/SRT output and LLM-based correction, all running offline on Apple Silicon.2MIT
TDQS
Scored across 3 tools
The three tools have clearly distinct purposes: get_supported_languages retrieves language metadata, transcribe_from_file processes local files, and transcribe_from_url handles remote content. There is no overlap in functionality, and each tool's name and description make its specific role unambiguous.
All tool names follow a consistent verb_noun pattern with snake_case: get_supported_languages, transcribe_from_file, and transcribe_from_url. The naming is predictable and uniform throughout the set, making it easy to understand the action and target.
Three tools are reasonable for a transcription server, covering language support and transcription from both local and remote sources. However, the count feels slightly thin as it lacks utilities like managing transcriptions or adjusting parameters post-transcription, though the core functionality is well-represented.
The server provides essential operations for transcription: language lookup and transcription from file/URL, covering the main workflows. A minor gap exists in not offering tools to edit or delete generated transcripts, but agents can work around this by handling files externally.