What they built

Harmoni-Q — An AI DJ Advisor MCP that analyzes audio to build the perfect setlist

Harmoni-Q is an intelligent DJ assistant built as an MCP server that brings advanced audio analysis directly into any AI chat environment (ChatGPT, Claude, NitroChat). It solves a core problem for DJs and music enthusiasts: knowing if two tracks will mix well together before ever touching the decks. Key Features: 1. Deep Audio Analysis: Uses WebAssembly (WASM) based signal processing to extract exact BPM, beat density, and metadata from raw audio files or public URLs. 2. Mix Compatibility Scoring: Compares tracks based on tempo, energy, and rhythm structure to generate a "mixability" score, warning users about potential trainwrecks. 3. Intelligent Set Ordering: Uses graph traversal algorithms and Google's Gemini AI to take a list of disorganized tracks and arrange them into a perfectly flowing setlist that builds energy over time, complete with a narrative explanation of how to execute each transition. What makes it special is its architecture. By building this as a NitroStack MCP server rather than a standalone app, Harmoni-Q can be instantly plugged into ChatGPT. Users can simply chat naturally with their AI assistant, say "Analyze this track", and Harmoni-Q processes the complex audio physics in the background and visualizes the results with beautiful, interactive React widgets right in the chat.