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Spotify MCP Server

MCP Server

Control Spotify via Model Context Protocol

Stale(55)
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Updated May 4, 2025

About

An MCP server that exposes Spotify API functionality, enabling playback control, playlist management, and user data access through a unified toolset for LLM-driven applications.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Spotify MCP Server

The Spotify MCP Server bridges the gap between conversational AI assistants and the rich audio ecosystem of Spotify. By exposing a suite of playback‑control tools over the Model Context Protocol, it lets assistants such as Claude or other MCP‑compatible clients issue high‑level music commands—play, pause, skip, shuffle, or even search for a specific track—all without the user leaving the chat interface. This eliminates the friction of manually navigating a music app, making it possible to build hands‑free listening experiences or integrate personalized playlists into broader workflows.

At its core, the server translates MCP tool calls into Spotify Web API requests via the library. Once authenticated with a developer account and a premium subscription, any tool invocation is forwarded to the user's device or active session. The server therefore acts as a thin, secure proxy that respects Spotify’s rate limits and authentication flow while keeping the AI client free from OAuth complexity. Developers can focus on crafting natural language interactions, confident that playback commands will be executed reliably and in real time.

Key capabilities include:

  • Playback manipulation: start, pause, skip forward or backward.
  • Playlist control: shuffle, repeat, and navigate within a library playlist.
  • Targeted search: play an album or track by name, leveraging Spotify’s search endpoint.
  • State awareness: tools can query current playback status and adjust behavior accordingly.

These features enable a variety of real‑world scenarios. A virtual assistant could respond to “Play some jazz” by searching the user’s library, shuffling a curated playlist, and starting playback—all in one conversational turn. In a smart‑home setting, the assistant might pause music when a reminder rings or resume after a call. For developers building integrated media experiences, the MCP server removes the need to embed Spotify SDKs directly into client applications, centralizing control logic in a single, maintainable service.

Integration is straightforward for MCP‑aware workflows. Once the server is running, a client can register its tools via an call or by declaring the server in a configuration file. The assistant then treats each tool as a first‑class action, able to reason about sequencing and error handling just like any other capability. Because the server is stateless beyond authentication, it scales horizontally; multiple assistants can share a single instance or each run their own dedicated copy without conflict.

What sets the Spotify MCP Server apart is its minimal barrier to entry and tight focus on playback control. It abstracts away OAuth, device selection, and API pagination, delivering a clean, declarative interface for music manipulation. For developers looking to enrich conversational experiences with live audio, the server offers a plug‑and‑play solution that aligns perfectly with MCP’s design philosophy of modular, reusable tools.