Music Analysis

by hugohow

9 stars

Not rated

GitHub

About

Integrates librosa's audio processing capabilities to provide detailed music and audio analysis tools for extracting features like tempo, spectral characteristics, and onset detection directly within conversations.

Details

Author: hugohow
Repository: hugohow/mcp-music-analysis
GitHub stars: 9
License: MIT License
Categories: Developer Tools, Design, File Management, AI, Media, Infrastructure, Frontend

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below
Plugin Name Music Analysis

Command (node, npx, python, etc.) uvx
Arguments
- Argument 1 -n
- Argument 2 mcp-music-analysis
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "music analysis": {
            "cwd": "~/Library/Application Support/Claude",
            "env": {},
            "args": [
                "-n",
                "mcp-music-analysis"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "music analysis": {
            "cwd": "%APPDATA%\\Claude",
            "env": {},
            "args": [
                "-n",
                "mcp-music-analysis"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "music analysis": {
            "cwd": "~/.config/Claude",
            "env": {},
            "args": [
                "-n",
                "mcp-music-analysis"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "music analysis": {
            "cwd": "~/Library/Application Support/Claude",
            "env": {},
            "args": [
                "-n",
                "mcp-music-analysis"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "music analysis": {
            "cwd": "%APPDATA%\\Claude",
            "env": {},
            "args": [
                "-n",
                "mcp-music-analysis"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "music analysis": {
            "cwd": "~/.config/Claude",
            "env": {},
            "args": [
                "-n",
                "mcp-music-analysis"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "music analysis": {
            "cwd": "~/Library/Application Support/Claude",
            "env": {},
            "args": [
                "-n",
                "mcp-music-analysis"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "music analysis": {
            "cwd": "%APPDATA%\\Claude",
            "env": {},
            "args": [
                "-n",
                "mcp-music-analysis"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "music analysis": {
            "cwd": "~/.config/Claude",
            "env": {},
            "args": [
                "-n",
                "mcp-music-analysis"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "music analysis": {
            "cwd": "~/Library/Application Support/Claude",
            "env": {},
            "args": [
                "-n",
                "mcp-music-analysis"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "music analysis": {
            "cwd": "%APPDATA%\\Claude",
            "env": {},
            "args": [
                "-n",
                "mcp-music-analysis"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "music analysis": {
            "cwd": "~/.config/Claude",
            "env": {},
            "args": [
                "-n",
                "mcp-music-analysis"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "music analysis": {
            "cwd": "~/Library/Application Support/Claude",
            "env": {},
            "args": [
                "-n",
                "mcp-music-analysis"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "music analysis": {
            "cwd": "%APPDATA%\\Claude",
            "env": {},
            "args": [
                "-n",
                "mcp-music-analysis"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

JSON

{
    "mcpServers": {
        "music analysis": {
            "cwd": "~/.config/Claude",
            "env": {},
            "args": [
                "-n",
                "mcp-music-analysis"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

From the repository

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

Create Virtual Environment And Install

uv venv source .venv/bin/activate # On Windows: .venv\Scripts\activate uv pip install -e .

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"]
    }
  }
}

Author

Hugo How-Choong

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "music analysis": {
            "cwd": "~/Library/Application Support/Claude",
            "env": {},
            "args": [
                "-n",
                "mcp-music-analysis"
            ],
            "shell": false,
            "command": "uvx"
        }
    }
}

Linux

{
    "cwd": "~/.config/Claude",
    "env": [],
    "args": [
        "-n",
        "mcp-music-analysis"
    ],
    "shell": false,
    "command": "uvx"
}

Macos

{
    "cwd": "~/Library/Application Support/Claude",
    "env": [],
    "args": [
        "-n",
        "mcp-music-analysis"
    ],
    "shell": false,
    "command": "uvx"
}

Windows

{
    "cwd": "%APPDATA%\\Claude",
    "env": [],
    "args": [
        "-n",
        "mcp-music-analysis"
    ],
    "shell": false,
    "command": "uvx"
}

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

```bash

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About

Details

Jump to

Setting up with Highlight

From the repository

Installing Via Smithery

Manual Installation

Create Virtual Environment And Install

Locate Configuration File

Author

Claude Desktop / Cursor

Linux

Macos

Windows

MCP Music Analysis

Usage with Claude Desktop

Installation

Installing via Smithery

Manual Installation

Install

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