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\A MCP server with music tools\

Project description

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

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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 .

Copy the path

On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json On Windows: %APPDATA%/Claude/claude_desktop_config.json

past the path instead of PATH

"mcpServers": { "Music Analysis with librosa": { "command": "uv", "args": [ "--directory", "PATH", "run", "src/mcp_music_analysis/server.py" ] } }

It's now available on Claude Desktop.

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

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