npx mcpbar@latest install hugohow/mcp-music-analysis -c claude

npx mcpbar@latest edit -c claude

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

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

Installing via Smithery

To install Music Analysis for Claude Desktop automatically via Smithery:

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

Manual Installation

# Clone repository
git clone [email protected]: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