A voice recording and transcription MCP server based on the Whisper model, which can be used as an extension of Goose AI or run independently, supporting various recording scenarios and model configurations.

A voice recording and transcription MCP server based on the Whisper model, which can be run as an extension of Goose AI or an independent service.

Votars MCP is a tool that supports multi - language implementation, used for integrating with the Votars AI platform to process voice transcription and AI tasks.

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.