What hardware is required?
Apple Silicon (M1 or later) is required for optimal performance.
@lilisetyarini
基本信息
Local Speech-to-Text MCP Server offers fast and private transcription using whisper.cpp, designed for Apple Silicon. Enjoy seamless audio support and multiple output formats while keeping memory usage low. 🐙✨
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
It is a high-performance Model Context Protocol (MCP) server that uses whisper.cpp to convert spoken language into text. Designed for Apple Silicon devices, it processes audio entirely on-device, preserving privacy while providing fast transcription.
Clone the repository, then install dependencies via Homebrew (brew install cmake whisper). Build the project with CMake and make, then run the server with ./local-stt-mcp. Send an audio file as a POST request to http://localhost:8080/transcribe to receive the transcribed text in a JSON response.
config.json file (language, model, max length).Apple Silicon (M1 or later) is required for optimal performance.
You need `cmake` and `whisper` (via Homebrew) to build and run the server.

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