- RANKINGS
- TRACKS
- GENRES
- HUMAN
Short answer
How can I use AI to analyze my Spotify history?
Upload your Spotify data exports and use your AI to run analysis on the files. You'll get ranked lists of your most played artists, tracks, and genres. Here is what you'll get.
The outcomes
What your data becomes
Your AI turns raw JSON or CSV exports into clear, organized insights.
RANKINGS
Top artist lists
The AI identifies your most frequent listeners. You get a clean list of the artists you've played most often.
TRACKS
Favorite song counts
Your agent counts every play to find your actual top tracks. This goes beyond just what you recently played.
GENRES
Genre breakdowns
The AI groups your listening habits into specific genres. You'll see exactly what sounds you gravitate toward.
HUMAN
Custom playlists
The AI can't build the playlist in your Spotify app for you. You'll need to take the suggested track lists and add them to your library manually.
The workflow
What your AI does when the data arrives.
The AI handles the heavy lifting of reading through messy export files so you don't have to.
Read exports
Your agent opens the Spotify data files you've downloaded. It reads the raw playback logs to prepare for analysis.
parse_spotify_historyAggregate data
The AI counts every instance of a specific artist or song. It builds a frequency map of your entire listening history.
parse_spotify_historyIdentify trends
Your agent looks for patterns in your listening habits. It can find which genres dominated specific months or years.
parse_spotify_historyFormat lists
The AI organizes the findings into readable formats. You can ask for simple lists or detailed tables of your top music.
parse_spotify_history
Try it
Copy these to start.
Use these prompts once you've connected the parser.
Starting points
These are starting points. Replace the bracketed info with your specific needs.
Spotify Listening History Parser Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_SZcwckYRckPicpg8UyHeMbWZDomWQEWPEcit1eOB/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Spotify Listening History Parser capabilities are ready to use.
{
"mcpServers": {
"spotify-listening-history-parser-mcp": {
"url": "https://edge.vinkius.com/vk_preview_SZcwckYRckPicpg8UyHeMbWZDomWQEWPEcit1eOB/mcp"
}
}
}Based on my Spotify history, who are my top 10 most played artists?
List my top 5 most played tracks from my recent history.
What are the main genres I have listened to according to these files?
Create a ranked list of the songs I played most in 2023.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Spotify Listening History Parser once, then ask.
Click the link to connect the MCP to your client. Your login credentials stay encrypted, and you can find the full tool list on the Connector page.
Connect Spotify Listening History Parser to your AIFAQ
Common questions
- 01
Can the AI add songs directly to my Spotify account?
No. The AI can only read your exported data and suggest lists. You have to add songs to your playlists yourself.
- 02
Do I need to give the AI my Spotify password?
No. You provide your data exports, and the connection is handled securely through Vinkius.
- 03
Can the AI change my Spotify settings?
No. This tool is read-only for your data exports. It cannot modify your account, privacy settings, or playback preferences.
- 04
What kind of files does the AI need?
The AI needs the data files you download from your Spotify account settings.
- 05
Can it analyze my 'Wrapped' data?
Yes, as long as you provide the data exports that contain your listening history.
More questions about Spotify Listening History Parser? The Connector page answers them. See everything the Spotify Listening History Parser Connector can do
Connect Spotify Listening History Parser to Claude, Cursor, ChatGPT & more
