Spotify Music MCP Server for LlamaIndex 13 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Spotify Music as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Spotify Music. "
"You have 13 tools available."
),
)
response = await agent.run(
"What tools are available in Spotify Music?"
)
print(response)
asyncio.run(main())
* 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 Music MCP Server
Connect Spotify to any AI agent and turn your voice or text prompts into music actions — search millions of tracks, analyze audio features, get personalized recommendations, and control your playback.
LlamaIndex agents combine Spotify Music tool responses with indexed documents for comprehensive, grounded answers. Connect 13 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Search Library — Find any track, artist, album, or playlist by name
- Player Control — Play, pause, and add tracks to your queue directly
- Audio Analytics — Get deep insights like danceability, energy, valence, and tempo
- Recommendations — Discover new music based on your favorite artists or genres
- Library Management — View your playlists and get details about albums or artists
- New Releases — Discover the newest albums dropping on Spotify
The Spotify Music MCP Server exposes 13 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Spotify Music to LlamaIndex via MCP
Follow these steps to integrate the Spotify Music MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 13 tools from Spotify Music
Why Use LlamaIndex with the Spotify Music MCP Server
LlamaIndex provides unique advantages when paired with Spotify Music through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Spotify Music tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Spotify Music tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Spotify Music, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Spotify Music tools were called, what data was returned, and how it influenced the final answer
Spotify Music + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Spotify Music MCP Server delivers measurable value.
Hybrid search: combine Spotify Music real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Spotify Music to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Spotify Music for fresh data
Analytical workflows: chain Spotify Music queries with LlamaIndex's data connectors to build multi-source analytical reports
Spotify Music MCP Tools for LlamaIndex (13)
These 13 tools become available when you connect Spotify Music to LlamaIndex via MCP:
add_to_queue
Add a track to the playback queue
get_album
Get information about a specific album
get_artist
Get information about a specific artist
get_audio_features
Get audio features for a track (Danceability, Energy, Tempo, etc)
get_current_track
Returns empty if nothing is playing. Get the track currently playing on the user's device
get_new_releases
Get a list of new album releases
get_playlist
Get details of a specific playlist
get_recommendations
Get recommended tracks based on seed artists, genres, or tracks
get_track
Get detailed information about a specific track
get_user_playlists
Get the current user's playlists
pause
Pause playback on the user's device
play
Start or resume playback on the user's device
search
Search for tracks, artists, albums, or playlists on Spotify
Example Prompts for Spotify Music in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Spotify Music immediately.
"Play some energetic Jazz for studying."
"What are the audio features for 'Blinding Lights'?"
"Show me the top 5 new releases."
Troubleshooting Spotify Music MCP Server with LlamaIndex
Common issues when connecting Spotify Music to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpSpotify Music + LlamaIndex FAQ
Common questions about integrating Spotify Music MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Spotify Music with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Spotify Music to LlamaIndex
Get your token, paste the configuration, and start using 13 tools in under 2 minutes. No API key management needed.