Xmcd Mcd Converter -

in_tracks = False for line in lines: line = line.strip() if line.startswith('# Disc ID:'): data['discid'] = line.split(':')[1].strip() elif line.startswith('DISCID='): data['discid'] = line.split('=')[1].strip() elif line.startswith('DTITLE='): # Format is "Artist / Album" parts = line.split('=', 1)[1].split('/') if len(parts) == 2: data['artist'] = parts[0].strip() data['title'] = parts[1].strip() elif line.startswith('TTITLE'): track_num = line.split('=')[0].replace('TTITLE', '') track_name = line.split('=', 1)[1] data['tracks'].append(track_name) elif line.startswith('DYEAR='): data['year'] = line.split('=')[1].strip() elif line.startswith('DGENRE='): data['genre'] = line.split('=')[1].strip() return data def convert_directory(input_dir, output_csv): with open(output_csv, 'w', newline='', encoding='utf-8') as csvfile: writer = csv.writer(csvfile) writer.writerow(['DiscID', 'Artist', 'Album', 'Year', 'Genre', 'Track_Count', 'Track_Names'])

for filename in os.listdir(input_dir): if filename.lower().endswith(('.mcd', '.xmcd')): full_path = os.path.join(input_dir, filename) album_data = parse_xmcd(full_path) writer.writerow([ album_data['discid'], album_data['artist'], album_data['title'], album_data['year'], album_data['genre'], len(album_data['tracks']), '|'.join(album_data['tracks']) # Pipe separated tracks ]) print(f"Converted to: output_csv") if == " main ": if len(sys.argv) != 3: print("Usage: python xmcd_converter.py <input_folder> <output.csv>") sys.exit(1) convert_directory(sys.argv[1], sys.argv[2])

try: with open(filepath, 'r', encoding='latin-1') as f: lines = f.readlines() except: # Fallback for binary-ish files with open(filepath, 'r', encoding='utf-8', errors='ignore') as f: lines = f.readlines() xmcd mcd converter

By using the Python method outlined above, you can reclaim thousands of track listings that you thought were lost to bit rot. Whether you are a data archaeologist or a nostalgic music fan, converting these legacy database files ensures your album metadata survives another 30 years in modern, readable formats like CSV or JSON.

In the digital age, music streaming has made physical media almost obsolete. However, for archivists, data hoarders, and classic UNIX enthusiasts, certain file formats refuse to die. One such niche but persistent format is the XMCD (and its sibling, MCD ). If you have inherited a dusty hard drive from the 1990s or are trying to recover a CD database from an old Linux server, you have likely searched for the elusive XMCD MCD converter . in_tracks = False for line in lines: line = line

#!/usr/bin/env python3 # xmcd_mcd_converter.py import os import sys import csv def parse_xmcd(filepath): data = 'discid': '', 'title': '', 'artist': '', 'tracks': [], 'genre': '', 'year': ''

But what exactly are these files, why won’t they open in iTunes or VLC, and how can you convert them into usable data? This article provides a deep dive into the history, technical structure, and step-by-step conversion methods for XMCD and MCD files. Before you search for a converter, you must understand what you are dealing with. Neither XMCD nor MCD files contain audio. They are database files. The History of xmcd In the early 1990s, before CDDB (Compact Disc Database) became the standard for Gracenote, a Unix-based CD player application called xmcd was the gold standard for Linux and Solaris workstations. Written by Ti Kan, xmcd allowed users to play audio CDs and, crucially, look up track listings via the internet or a local cache. However, for archivists, data hoarders, and classic UNIX

Below is a working Python script that converts an XMCD file to a human-readable CSV.