Spotify Listening History Parser MCP Server for Google ADKGive Google ADK instant access to 1 tools to Parse Spotify History
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Spotify Listening History Parser as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this MCP Server for Google ADK
The Spotify Listening History Parser MCP Server for Google ADK is a standout in the Industry Titans category — giving your AI agent 1 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="spotify_listening_history_parser_agent",
instruction=(
"You help users interact with Spotify Listening History Parser "
"using 1 available tools."
),
tools=[mcp_tools],
)
* 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
About 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.
Google ADK natively supports Spotify Listening History Parser as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 1 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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.
The Spotify Listening History Parser MCP Server exposes 1 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 1 Spotify Listening History Parser tools available for Google ADK
When Google ADK connects to Spotify Listening History Parser through Vinkius, your AI agent gets direct access to every tool listed below — spanning data-parsing, music-analytics, listening-history, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Parse spotify history on Spotify Listening History Parser
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
Connect Spotify Listening History Parser to Google ADK via MCP
Follow these steps to wire Spotify Listening History Parser into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Spotify Listening History Parser MCP Server
Google ADK provides unique advantages when paired with Spotify Listening History Parser through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Spotify Listening History Parser
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Spotify Listening History Parser tools with BigQuery, Vertex AI, and Cloud Functions
Spotify Listening History Parser + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Spotify Listening History Parser MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Spotify Listening History Parser and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Spotify Listening History Parser tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Spotify Listening History Parser regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Spotify Listening History Parser
Example Prompts for Spotify Listening History Parser in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Spotify Listening History Parser immediately.
"What was my most listened artist in 2024?"
"How many total hours did I spend on Spotify?"
"Show my top 5 most played songs of all time."
Troubleshooting Spotify Listening History Parser MCP Server with Google ADK
Common issues when connecting Spotify Listening History Parser to Google ADK through Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkSpotify Listening History Parser + Google ADK FAQ
Common questions about integrating Spotify Listening History Parser MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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