MCP.so
Sign In

Local Speech-to-Text Model Context Protocol (MCP) Server 🚀

@lilisetyarini

About Local Speech-to-Text Model Context Protocol (MCP) Server 🚀

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. 🐙✨

Basic information

Category

Other

License

MIT license

Runtime

node

Transports

stdio

Publisher

lilisetyarini

Config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Local Speech-to-Text Model Context Protocol (MCP) Server?

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.

How to use Local Speech-to-Text Model Context Protocol (MCP) Server?

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.

Key features of Local Speech-to-Text Model Context Protocol (MCP) Server

  • Optimized for Apple Silicon for high performance.
  • Full local processing – no data leaves your device.
  • Simple RESTful API for easy integration.
  • Supports transcription in multiple languages.
  • Customizable via a config.json file (language, model, max length).

Use cases of Local Speech-to-Text Model Context Protocol (MCP) Server

  • Real-time transcription of meetings or lectures.
  • Voice command recognition in desktop applications.
  • Generating subtitles for locally stored media.
  • Accessibility tools for converting speech to text offline.

FAQ from Local Speech-to-Text Model Context Protocol (MCP) Server

What hardware is required?

Apple Silicon (M1 or later) is required for optimal performance.

What dependencies are needed?

You need cmake and whisper (via Homebrew) to build and run the server.

Does the server

Comments

More Other MCP servers