MCP Music Analysis

This repository contains aModel Context Provider (MCP)that uses MCP andlibrosafor audio analysis on audio in local, youtube link, or audio link.

To install Music Analysis for Claude Desktop automatically viaSmithery:

npx -y @smithery/cli install @hugohow/mcp-music-analysis --client claude

# Clone repository git clone git@github.com:hugohow/mcp-music-analysis.git cd mcp-music-analysis # Create virtual environment and install uv venv source .venv/bin/activate # On Windows: .venv\Scripts\activate uv pip install -e .

~/Library/Application\ Support/Claude/claude_desktop_config.json

%APPDATA%\Claude\claude_desktop_config.json

~/.config/Claude/claude_desktop_config.json

{ "mcpServers": { "music-analysis": { "command": "uvx", "args": ["-n", "mcp-music-analysis"] } } }

Here are some sample prompts you might use in a conversational or chat-based context once the server is running. The MCP will understand these requests and execute the relevant tools:

Can you analyze the beat of /Users/hugohow-choong/Desktop/sample-6s.mp3? Could you give me the duration of https://download.samplelib.com/mp3/sample-15s.mp3 ? Please compute the MFCC for this file: /path/to/another_audio.mp3 What are the spectral centroid values for /path/to/music.wav? I'd like to know the onset times for https://www.youtube.com/watch?v=8HFiFd9vx1c

- Add URL to audio file download
- Add YouTube to audio file transformation
- Experiment with multiple Python environments (testing)
- Improve installation guide
- Integrate Whisper for lyrics
- Implement a Docker solution

This is a web browser that enables your coding agent, such as Claude Code, to visit websites on your behalf and assist you in identifying bugs or creating UI test cases.

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