Synth Controller

About

This project implements a Python-based Model Context Protocol (MCP) server that acts as a bridge, allowing large language models (LLMs) to manipulate the parameters of a JUCE synthesizer in real time. It works by exposing structured tools that an LLM can invoke, translating these tool calls into Open Sound Control (OSC) messages sent to a companion JUCE plugin or application. This architecture facilitates expressive, natural-language control of synthesizers, potentially integrating with speech-to-text systems to enable voice-controlled sound design and real-time audio manipulation.

Key Features

• Real-time control of JUCE synthesizer parameters via LLM
• Defined tool schemas for LLM interaction (e.g., setParameter, listParameters)
• OSC bridge for communication with JUCE applications
• Comprehensive Pytest suite for robust development
• Python-based Model Context Protocol (MCP) server
• 0 GitHub stars

Use Cases

• Enabling natural-language control of a synthesizer using speech or text commands
• Implementing LLM-driven real-time parameter modification for creative audio applications
• Integrating a synthesizer control layer with speech-to-text systems for voice-controlled synthesis