About
Sound provides audio feedback when Cursor AI finishes code generation. Using the Model Context Protocol (MCP), it integrates seamlessly with Cursor, playing a sound effect after code generation is complete. This provides a more interactive coding experience by alerting the user when the AI has finished a task. Users can configure sound effects and volume by replacing sound files and modifying file paths, making it a customizable tool for any developer.
Key Features
- Plays sound effects upon completion of Cursor AI tasks.
- Utilizes the Model Context Protocol (MCP) for integration.
- Allows for custom sound effect configuration.
- Includes improved error handling and logging.
- Provides a stable JSON response format.
Use Cases
- Receive audio notifications when Cursor AI finishes code generation.
- Customize sound effects for a personalized coding experience.
- Improve workflow by being immediately notified of task completion.