What is Whisper MCP Server?

Whisper MCP Server is a lightweight tool enabling local audio transcription using the Whisper speech-to-text model, integrating as an MCP server for AI assistants like Claude.

What audio formats and Whisper models does it support?

It supports popular audio formats like WAV, MP3, and M4A. Users can choose from various Whisper models: tiny, base, small, medium, and large for transcription.

Can I transcribe audio files offline and locally?

Yes, a core feature is that all audio processing and transcription happen entirely on your local machine, ensuring privacy and allowing for offline operation without sending data to the cloud.

How does Whisper MCP Server integrate with AI assistants like Claude?

It functions as a Model Context Protocol (MCP) server, allowing AI assistants such as Claude Desktop and Claude Code to directly utilize its transcription capabilities for local audio files through simple commands.

Whisper

Name: Whisper
Author: jwulff

byjwulff

•

Developer Tools

Productivity & Workflow

Data Science & ML

Provides local audio transcription capabilities using the Whisper speech-to-text model through a lightweight Model Context Protocol (MCP) server.

This lightweight Model Context Protocol (MCP) server enables robust local audio transcription by leveraging the powerful `whisper.cpp` engine. Designed for seamless integration with tools like Claude Desktop and Claude Code, it allows users to process audio files directly on their machine, ensuring privacy and speed. It supports a variety of audio formats, offers multiple Whisper models for different quality and speed needs, and can generate transcripts with or without timestamps, making it an ideal component for automated voice memo workflows and other local transcription tasks.

Key Features

011 GitHub stars

02Perform audio transcription entirely on your local machine.

03Support for multiple Whisper models (tiny, base, small, medium, large).

04Compatibility with various audio formats including WAV, MP3, and M4A.

05Option to include timestamps in transcriptions.

06Integrates as an MCP server for AI assistants like Claude.

Use Cases

01Integrate high-quality local audio transcription into Claude Desktop or Claude Code workflows.

02Create a complete local voice memo management and transcription system in conjunction with `apple-voice-memo-mcp`.

03Automate the transcription of various local audio files with customizable models and output formats.