Enables Claude to analyze audio files locally, extracting musical features like key, tempo, dynamics, timbre, stereo field, and structural sections via an MCP server.
Enables AI assistants to programmatically edit, analyze, and export audio projects through MCP tools, including multi-track editing, effects, transcription, and semantic search.
Enables AI models to analyze audio files through numerical fingerprints, pitch tracking, and visual spectrograms without requiring direct audio playback. It provides tools for comparing audio iterations and detecting patterns using token-efficient analysis operations.
Provides audio inspection, conversion, processing, and generation capabilities via SoX, enabling AI agents to 'hear' and manipulate audio files through structured JSON interfaces.