MCP Music Analysis

This repository contains a Model Context Provider (MCP) that uses MCP and librosa for audio analysis on audio in local, youtube link, or audio link.

Usage with Claude Desktop

Installation

# 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 .

Usage with Claude Desktop

Locate Configuration File

The configuration file location depends on your operating system:

• macOS:

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

• Windows:

  %APPDATA%\Claude\claude_desktop_config.json
  

• Linux:

  ~/.config/Claude/claude_desktop_config.json
  

Add the following to your claude_desktop_config.json:

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

Example Prompts

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

To-Do List

• 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

Author

Hugo How-Choong