Exposes Auphonic audio processing capabilities via an HTTP-based Model Context Protocol server for integration with AI agents.
The Auphonic server provides a production-ready HTTP Model Context Protocol (MCP) interface, enabling AI agents like OpenClaw and OpenCode to leverage Auphonic's audio processing API. It implements the Streamable HTTP transport specification, offering features like session management, robust error handling, input validation, and production state tracking to facilitate seamless interaction between AI clients and the Auphonic service.
Key Features
01Pre-configured show types for LUP and Launch
022 GitHub stars
03Production state tracking and health monitoring
04Full MCP compliance (protocol 2025-03-26)
05Secure session management with UUIDs
06Comprehensive error handling and input validation
Use Cases
01Automating audio post-production workflows for podcasts using AI agents
02Integrating Auphonic's API with custom AI clients for intelligent audio processing tasks
03Programmatically uploading, checking status, and downloading processed audio files from Auphonic
