MCP Make Sound
M

MCP Make Sound

An MCP server that provides comprehensive audio playback functionality for macOS, supporting system sounds, text-to-speech, and custom audio file playback, suitable for MCP clients such as AI assistants.
2 points
8.1K

What is the MCP Make Sound Server?

MCP Make Sound is a Model Context Protocol (MCP) server designed specifically for macOS, allowing AI assistants and other MCP clients to play system sound effects, perform text-to-speech, and play custom audio files, providing rich audio feedback.

How to use the MCP Make Sound Server?

By installing and running this server, you can integrate it into any MCP-compatible client, such as Claude Desktop or other AI assistants. Simply configure the correct paths and parameters to start using the audio features.

Applicable Scenarios

Suitable for AI assistants that require audio feedback, developer debugging tools, automated task prompts, and reminder systems during multitasking.

Main Features

Preset Sound Effects
Provides information prompt sounds (Glass.aiff), warning sounds (Purr.aiff), and error sounds (Sosumi.aiff) for easy and quick identification of different states.
System Sound Effect Playback
Supports playing 14 built-in system sound effects on macOS, including Basso, Blow, Bottle, etc., meeting the needs of various scenarios.
Text-to-Speech
Converts text into speech, supporting more than 50 languages and character voices, with customizable speech styles.
Custom Audio File Playback
Supports playing audio files stored locally, such as .aiff, .wav, .mp3, and .m4a formats.
Lightweight and Easy to Integrate
Built on TypeScript, it is easy to integrate into existing systems or AI assistants.
Advantages
Provides diverse audio feedback methods to enhance the user experience.
Supports multiple audio formats and voice options to meet personalized needs.
Easy to integrate into existing MCP clients.
Lightweight design with low resource consumption.
Limitations
Limited to the macOS system and cannot be used across platforms.
Text-to-speech has a character limit (maximum 1000 characters).
Custom audio files require an absolute path and must exist.
Does not support custom voice libraries and is limited to the voices provided by the system.

How to Use

Clone the Repository
Run the command `git clone <repository-url>` in the terminal to clone the project locally.
Install Dependencies
Enter the project directory and run `npm install` to install all dependencies.
Build the Project
Run `npm run build` to compile the TypeScript code into JavaScript.
Start the Server
Run `npm start` to start the MCP audio server.
Integrate into the Client
Configure the path and parameters of this server in your MCP client to implement audio functions.

Usage Examples

AI Task Completion Prompt
When an AI task is completed, play a prompt sound to notify the user.
Warning Prompt
Play a warning sound when a warning occurs to attract the user's attention.
Error Prompt
Play an error sound when an error occurs to help the user identify the problem.
Text-to-Speech
Convey important information to the user in voice form.
Custom Audio Playback
Play a specific audio file, such as music or a prompt sound.

Frequently Asked Questions

Does the MCP Make Sound Server support Windows or Linux?
What types of audio files can be played?
What is the maximum length of text-to-speech?
What if the specified voice is unavailable?
How to ensure the correct path of a custom audio file?

Related Resources

GitHub Repository
View the complete source code and project documentation.
MCP Protocol Documentation
Understand the detailed specifications of the Model Context Protocol.
macOS Sound Effect List
View the list of built-in system sound effects on macOS.
Languages Supported by Text-to-Speech
Understand the languages and voice options supported by text-to-speech on macOS.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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