Spotify MCP Server

An unofficial Spotify MCP server that provides access to Spotify's Web API through the Model Context Protocol.

Overview

This MCP server allows AI assistants to interact with Spotify's Web API, enabling functionality like searching for music, managing playlists, controlling playback, and more. The server is hosted at https://spotify-mcp-server-3664f81c.alpic.live/ for easy integration.

Prerequisites

• Node.js 22+ (see .nvmrc for exact version)
• Spotify Developer Account and App (for local development)

Installation

For MCP Client Integration

For easy installation in Claude Desktop or other MCP clients, follow the installation guide: https://mcp-install-instructions.alpic.cloud/servers/spotify-unofficial

For Local Development

1. Clone the repository:

git clone <repository-url>
cd spotify-mcp-server

1. Install dependencies:

npm install

1. Set up Spotify App:

   • Go to the Spotify Developer Dashboard
   • Create a new app
   • Note your Client ID and Client Secret
   • Add http://localhost:3000/callback to your app's redirect URIs

2. Create environment file:

cp .env.example .env

1. Update .env with your Spotify credentials:
   • SPOTIFY_CLIENT_ID=your_client_id_here

Usage

Development

Start the development server with hot-reload:

npm run dev

The server will start on http://localhost:3000 and automatically restart when you make changes to the source code.

Production Build

Build the project for production:

npm run build

The compiled JavaScript will be output to the dist/ directory.

Running the Inspector

Use the MCP inspector tool to test your server:

npm run inspector

API Endpoints

• POST /mcp - Main MCP communication endpoint
• GET /mcp - Returns "Method not allowed" (405)
• DELETE /mcp - Returns "Method not allowed" (405)

Development

Adding New Tools

To add a new tool, modify src/server.ts:

server.tool(
  "tool-name",
  "Tool description",
  {
    // Define your parameters using Zod schemas
    param: z.string().describe("Parameter description"),
  },
  async ({ param }): Promise<CallToolResult> => {
    // Your tool implementation
    return {
      content: [
        {
          type: "text",
          text: `Result: ${param}`,
        },
      ],
    };
  },
);

Adding New Prompts

To add a new prompt template, modify src/server.ts:

server.prompt(
  "prompt-name",
  "Prompt description",
  {
    // Define your parameters using Zod schemas
    param: z.string().describe("Parameter description"),
  },
  async ({ param }): Promise<GetPromptResult> => {
    return {
      messages: [
        {
          role: "user",
          content: {
            type: "text",
            text: `Your prompt content with ${param}`,
          },
        },
      ],
    };
  },
);

Resources

• Model Context Protocol Documentation
• MCP SDK Documentation
• Express.js Documentation