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.

A video, audio, and text extraction server based on the MCP protocol, supporting video downloads from multiple platforms and using the Whisper model for speech-to-text processing

This project expands the video speech recognition function. It originally only supported the local Whisper model, and now it newly supports the online speech recognition services of CapCut and Bcut, providing a flexible multi - service selection architecture.

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.

A local audio transcription MCP server based on whisper.cpp, supporting multiple models and audio formats. It can work with the Apple Voice Memo MCP to implement a complete voice workflow.

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.