MCP Video Digest is a video content processing service that supports extracting audio from multiple platforms and converting it into text, providing multiple transcription service options.

A high-performance speech recognition MCP server based on Faster Whisper, providing efficient audio transcription capabilities, supporting batch processing, multiple model sizes, and multiple output formats.

Speech MCP is a voice interaction extension designed for Goose, providing real-time voice recognition, high-quality text-to-speech, multilingual support, and a modern audio visualization interface. It supports multi-character dialogue generation and audio transcription functions.

The MCP Speaker Diarization and Recognition System is a complete solution integrating GPU-accelerated speaker separation, speech recognition, emotion detection, and a web interface. It combines the speaker separation of pyannote.audio with the faster-whisper transcription technology, supporting persistent speaker recognition (one-time registration, permanent recognition), dual-detector emotion analysis (combining general AI and personalized voiceprints), real-time stream processing, REST API, and MCP server, and is designed for AI intelligent agent integration and hobby projects.

An MCP server implementation based on the ElevenLabs Scribe speech-to-text API, providing real-time transcription, file transcription, context management, and two-way streaming communication capabilities.

This project is an experimental toolset for MCP servers implemented in Ruby, including operating system tools and media server functions, providing functions such as file operations, clipboard management, and speech transcription.

MCP Server Whisper is an audio processing server based on OpenAI Whisper and GPT - 4o models, providing advanced audio transcription, format conversion, batch processing, and text - to - speech functions. It enables seamless interaction with AI assistants through the Model Context Protocol standard.