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Claude CodeCLI
Spotify Listening History Parser MCP Server

Bring Data Parsing
to Claude Code

Learn how to connect Spotify Listening History Parser to Claude Code and start using 1 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Parse Spotify History

Compatible with every major AI agent and IDE

ClaudeClaude
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JetBrainsJetBrains
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Spotify Listening History Parser

What is the Spotify Listening History Parser MCP Server?

Spotify lets you request your full listening history via Privacy settings. The result is a massive JSON file with every song you ever played. This MCP aggregates it locally into actionable insights: top 30 artists, top 30 tracks, total hours, and unique counts.

The Superpowers

  • Smart Aggregation: Millions of plays → clean top-30 rankings.
  • Total Hours Calculated: Know exactly how many hours you spent listening.
  • 100% Local. Your music taste stays private.

Built-in capabilities (1)

parse_spotify_history

The file is usually a JSON array of listening events. Parse a Spotify listening history JSON export (from Spotify Privacy or Google Takeout) and aggregate top artists, tracks, and total listening hours

Why Claude Code?

Claude Code registers Spotify Listening History Parser as an MCP server in a single terminal command. Once connected, Claude Code discovers all 1 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where Spotify Listening History Parser data drives decisions without human intervention.

  • Single-command setup: claude mcp add registers the server instantly. no config files to edit or applications to restart

  • Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks

  • Claude Code runs headlessly, enabling unattended batch processing using Spotify Listening History Parser tools in cron jobs or deployment scripts

  • Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features

See it in action

Spotify Listening History Parser in Claude Code

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Spotify Listening History Parser and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Spotify Listening History Parser to Claude Code through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Spotify Listening History Parser in Claude Code

The Spotify Listening History Parser MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 1 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Claude Code only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Spotify Listening History Parser
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

The Vinkius Advantage

How Vinkius secures Spotify Listening History Parser for Claude Code

Every tool call from Claude Code to the Spotify Listening History Parser MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

How do I get my Spotify data?

Go to spotify.com/account/privacy. Request your data. Spotify emails you a download link within 30 days.

02

Does it work with Apple Music?

This parser is optimized for Spotify's JSON format. Apple Music exports use a different structure.

03

Is my listening data sent to the cloud?

No. All aggregation happens locally. Only the top-30 lists and totals are sent to the AI.

04

How do I add an MCP server to Claude Code?

Run claude mcp add <name> --transport http "<url>" in your terminal. Claude Code registers the server and discovers all tools immediately.

05

Can Claude Code run MCP tools in headless mode?

Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.

06

How do I list all connected MCP servers?

Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.

07

Command not found: claude

Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code

08

Connection timeout

Check your internet connection and verify the Edge URL is reachable

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