A Model Context Protocol (MCP) server that gives AI agents the ability to process audio files — transcribe speech to text, detect spoken languages, and extract audio metadata.
Enables high-performance audio transcription using Faster Whisper with CUDA acceleration, supporting single and batch audio file processing with multiple output formats (VTT, SRT, JSON).
Transcribes audio/video files, generates summaries and structured knowledge items, and supports Notion integration and chat-based interaction. Works as a standalone CLI, Notion integration, or MCP server tool for agent ecosystems.
Provides local audio transcription using whisper.cpp, supporting multiple models and audio formats. Enables transcription of audio files via MCP tools with optional timestamps.
Local speech transcription MCP server using faster-whisper. Supports transcription, translation to English, and output in JSON, text, SRT, and VTT formats.
A high-performance speech recognition MCP server based on Faster Whisper, providing efficient audio transcription capabilities with support for multiple model sizes, batch processing, and various output formats.