Skip to main content

\A MCP server with music tools\

Project description

MseeP.ai Security Assessment Badge

MCP Music Analysis

smithery badge

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

alt text alt text

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 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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mseep_mcp_music_analysis-0.1.42.tar.gz (3.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mseep_mcp_music_analysis-0.1.42-py3-none-any.whl (3.7 kB view details)

Uploaded Python 3

File details

Details for the file mseep_mcp_music_analysis-0.1.42.tar.gz.

File metadata

File hashes

Hashes for mseep_mcp_music_analysis-0.1.42.tar.gz
Algorithm Hash digest
SHA256 bc64357f26f31ec42b2662af45a43f5a592c0cd297f1d492ee8e0f8ef6bd8ee1
MD5 ca9439a21fb397c26414c53d77e089df
BLAKE2b-256 2d40eae11f3b270adbffabce7ee7d66bf1a8f39698e9f671262049df13fddc61

See more details on using hashes here.

File details

Details for the file mseep_mcp_music_analysis-0.1.42-py3-none-any.whl.

File metadata

File hashes

Hashes for mseep_mcp_music_analysis-0.1.42-py3-none-any.whl
Algorithm Hash digest
SHA256 bfbb9703490e4d968031e5c826b26cdb9942c84ae9c8326d89990a17873bc5a5
MD5 7c0543f0669c67e7a89353fd1f0a52c5
BLAKE2b-256 f55c6b671990460d2686605866bb5f2e1b3a723a3abebccc9a629098468d852c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page