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MCP SERVER Listed

marcelmarais/Spotify

This MCP server provides a standardized interface for integrating Spotify's Web API directly into your AI-driven development workflows. Instead of manually interacting with the Spotify client, you can use LLMs to programmatically control playback, query your music library, and manipulate playlists through structured tool calls. For developers building personalized productivity assistants or automated environment managers, this tool bridges the gap between natural language intent and real-time media control. Unlike basic API wrappers, this implementation follows the Model Context Protocol, allowing any MCP-compliant agent to understand the context of your current playback state and execute complex multi-step commands—like 'create a lo-fi playlist based on my current track'—without custom glue code. It is particularly useful for creating context-aware developer environments where your ambient audio can be managed via chat or automated scripts.

Open ecosystemGeneral
View GitHub
01 / SERVER DETAIL

Server detail

This MCP server provides a standardized interface for integrating Spotify's Web API directly into your AI-driven development workflows. Instead of manually interacting with the Spotify client, you can use LLMs to programmatically control playback, query your music library, and manipulate playlists through structured tool calls. For developers building personalized productivity assistants or automated environment managers, this tool bridges the gap between natural language intent and real-time media control. Unlike basic API wrappers, this implementation follows the Model Context Protocol, allowing any MCP-compliant agent to understand the context of your current playback state and execute complex multi-step commands—like 'create a lo-fi playlist based on my current track'—without custom glue code. It is particularly useful for creating context-aware developer environments where your ambient audio can be managed via chat or automated scripts.

An MCP server that exposes marcelmarais/Spotify capabilities to MCP-compatible AI clients.

CapabilitiesGeneralMCPOpen source
ProtocolModel Context Protocol
Developer ecosystemOpen ecosystem
LicenseMIT / check source
SourceGitHub
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02 / TOOL TESTING

Tool testing

AVAILABLE TOOL

marcelmarais-spotify

Callable

Call the MCP capabilities provided by marcelmarais/Spotify and return a structured result.

PARAMETERS
inputPass arguments according to the server tool schema.
Tip: the tool may truncate responses. Use pagination parameters such as start_index to read long content in chunks.
03 / SERVICE CONFIGURATION

Connection modes

Remote
{
  "mcpServers": {
    "marcelmarais/Spotify": {
      "url": "Generated by the provider after deployment"
    }
  }
}

The Remote endpoint is generated by the provider after deployment; this page does not fabricate an unusable endpoint.

03 / WORKFLOW

How to use

  1. 01
    Step 1

    Review server capabilities and permission scope.

  2. 02
    Step 2

    Copy the install command or JSON configuration.

  3. 03
    Step 3

    Run a small connection test in your client.

  4. 04
    Step 4

    Adopt it long term only after reviewing access and maintenance.

04 / DISCUSSIONS

Discussions

Use this space to keep checking source information, usage experience and maintenance status.

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