@striderlabs/mcp-spotify

@striderlabs/mcp-spotify

MCP server for Spotify that lets AI agents search music, control playback, and manage playlists via the Spotify Web API.

Category
Visit Server

README

@striderlabs/mcp-spotify

MCP server for Spotify — let AI agents search music, control playback, and manage playlists via the Spotify Web API.

Built by Strider Labs.

Features

  • Search — Find tracks, artists, albums, and playlists
  • Playlists — View, create, and edit your playlists
  • Playback Control — Play, pause, skip, go back, set volume
  • Multi-device — List and switch between Spotify Connect devices
  • OAuth 2.0 — Secure authorization with PKCE (no client secret needed)
  • Token persistence — Tokens stored locally, auto-refreshed

Setup

1. Create a Spotify App

  1. Go to the Spotify Developer Dashboard
  2. Click Create App
  3. Set Redirect URI to: http://localhost:8888/callback
  4. Copy your Client ID

2. Install

npx @striderlabs/mcp-spotify

Or install globally:

npm install -g @striderlabs/mcp-spotify

3. Configure Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "spotify": {
      "command": "npx",
      "args": ["-y", "@striderlabs/mcp-spotify"],
      "env": {
        "SPOTIFY_CLIENT_ID": "your_client_id_here"
      }
    }
  }
}

4. Authenticate

In Claude, call the auth tool once:

spotify_auth

A browser window will open for you to authorize access. After approving, tokens are saved locally at ~/.striderlabs/spotify/tokens.json and auto-refreshed.

Environment Variables

Variable Required Description
SPOTIFY_CLIENT_ID Yes Your Spotify app's Client ID

Tools

Authentication

Tool Description
spotify_status Check connection status and logged-in account
spotify_auth Authorize via browser (OAuth 2.0 PKCE)
spotify_logout Clear stored tokens

Search

Tool Parameters Description
search_tracks query, limit? Search for songs
search_artists query, limit? Search for artists
search_albums query, limit? Search for albums
search_playlists query, limit? Search for playlists

Playlists

Tool Parameters Description
get_playlists limit? Get your playlists
create_playlist name, description?, public? Create a new playlist
add_to_playlist playlistId, uris[], position? Add tracks
remove_from_playlist playlistId, uris[] Remove tracks

Playback

Tool Parameters Description
get_currently_playing Current track, progress, device
play deviceId?, contextUri?, uris?[], offsetPosition?, positionMs? Start/resume playback
pause deviceId? Pause playback
next_track deviceId? Skip to next track
previous_track deviceId? Go to previous track
set_volume volumePercent, deviceId? Set volume (0–100)
get_devices List Spotify Connect devices
transfer_playback deviceId, play? Switch playback device

Example Workflow

1. spotify_status            → check if authenticated
2. spotify_auth              → open browser to authorize (first time)
3. search_tracks query="Bohemian Rhapsody"
4. get_devices               → list available devices
5. play uris=["spotify:track:..."] deviceId="..."
6. get_currently_playing     → see what's playing
7. set_volume volumePercent=70
8. next_track                → skip to next
9. get_playlists             → see your playlists
10. create_playlist name="AI Picks"
11. add_to_playlist playlistId="..." uris=["spotify:track:..."]

Requirements

  • Node.js 18+
  • Spotify account (Free or Premium)
  • Spotify Premium required for: volume control, playback control

Technical Details

  • Protocol: Model Context Protocol (MCP) over stdio
  • Auth: OAuth 2.0 Authorization Code with PKCE
  • API: Spotify Web API v1
  • Token storage: ~/.striderlabs/spotify/tokens.json
  • Browser automation: Playwright (for OAuth browser launch)

License

MIT — Strider Labs

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured