other

Spotify

superseoworld

by superseoworld

Integrate the Spotify API to search music, control playback, and manage playlists—ideal for Spotify developers needing m

Integrates with Spotify Web API to enable music search, playback control, and playlist management for applications needing music data and content access.

github stars

19

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Requires Spotify Developer credentialsAccess to full Spotify catalog

best for

  • / Music recommendation systems
  • / Content creators needing music data
  • / Developers building music-related features

capabilities

  • / Search tracks, albums, artists, and playlists
  • / Get artist top tracks and related artists
  • / Access detailed music catalog information
  • / Retrieve album and track metadata

what it does

Connects to Spotify Web API to search music catalogs, get artist information, and access track/album data within your applications.

about

Spotify is a community-built MCP server published by superseoworld that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate the Spotify API to search music, control playback, and manage playlists—ideal for Spotify developers needing m It is categorized under other.

how to install

You can install Spotify in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Spotify is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

ArtistLens

smithery badge npm version

A powerful Model Context Protocol (MCP) server that provides access to the Spotify Web API. ArtistLens enables seamless interaction with Spotify's music catalog, including searching for tracks, albums, and artists, as well as accessing artist-specific information like top tracks and related artists.

Current Version: 0.4.12

<a href="https://glama.ai/mcp/servers/mmrvuig6tp"><img width="380" height="200" src="https://glama.ai/mcp/servers/mmrvuig6tp/badge" alt="ArtistLens MCP server" /></a>

Installation

Installing via Smithery

To install ArtistLens for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @superseoworld/artistlens --client claude

Manual Installation

You can install the package globally:

npm install -g @thomaswawra/artistlens

Or run it directly with npx:

npx -y @thomaswawra/artistlens

Configuration

Add to your MCP settings file (e.g., claude_desktop_config.json or cline_mcp_settings.json):

{
  "mcpServers": {
    "spotify": {
      "command": "npx",
      "args": ["-y", "@thomaswawra/artistlens"],
      "env": {
        "SPOTIFY_CLIENT_ID": "your_client_id",
        "SPOTIFY_CLIENT_SECRET": "your_client_secret"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

You'll need to provide your Spotify API credentials:

  1. Go to Spotify Developer Dashboard
  2. Create a new application
  3. Get your Client ID and Client Secret
  4. Add them to the configuration as shown above

Features

  • Search for tracks, albums, artists, and playlists
  • Get artist information including top tracks and related artists
  • Get album information and tracks
  • Access new releases and recommendations
  • Get audiobook information with market-specific content and chapters
  • Note: Audiobook endpoints may require additional authentication or market-specific access
  • Get and modify playlist information (name, description, public/private status)
  • Access playlist tracks and items with pagination support
  • Support for both Spotify IDs and URIs
  • Automatic token management with client credentials flow
  • Comprehensive test suite for all functionality
  • Well-organized code with separation of concerns

Available Tools

  • get_access_token: Get a valid Spotify access token
  • search: Search for tracks, albums, artists, or playlists
  • get_artist: Get artist information
  • get_artist_top_tracks: Get an artist's top tracks
  • get_artist_related_artists: Get artists similar to a given artist
  • get_artist_albums: Get an artist's albums
  • get_album: Get album information
  • get_album_tracks: Get an album's tracks
  • get_track: Get track information
  • get_available_genres: Get a list of available genres for recommendations
  • get_new_releases: Get new album releases
  • get_recommendations: Get track recommendations based on seed tracks, artists, or genres
  • get_audiobook: Get audiobook information with optional market parameter
  • get_multiple_audiobooks: Get information for multiple audiobooks (max 50)
  • get_audiobook_chapters: Get chapters of an audiobook with pagination support (1-50 chapters per request)
  • get_playlist: Get a playlist owned by a Spotify user
  • get_playlist_tracks: Get full details of the tracks of a playlist (1-100 tracks per request)
  • get_playlist_items: Get full details of the items of a playlist (1-100 items per request)
  • modify_playlist: Change playlist details (name, description, public/private state, collaborative status)
  • add_tracks_to_playlist: Add one or more tracks to a playlist with optional position
  • remove_tracks_from_playlist: Remove one or more tracks from a playlist with optional positions and snapshot ID
  • get_current_user_playlists: Get a list of the playlists owned or followed by the current Spotify user (1-50 playlists per request)
  • get_featured_playlists: Get a list of Spotify featured playlists with optional locale and pagination support
  • get_category_playlists: Get a list of Spotify playlists tagged with a particular category

Updating

To update to the latest version:

# If installed globally
npm update -g @thomaswawra/artistlens

# If using npx, it will automatically use the latest version
npx -y @thomaswawra/artistlens

Development

This project is open source and available on GitHub at https://github.com/superseoworld/artistlens.

Project Structure

The codebase is organized into the following directories:

  • src/handlers/: Contains handler classes for different Spotify API endpoints
  • src/types/: TypeScript interfaces for request and response objects
  • src/utils/: Utility functions and classes for API communication
  • src/__tests__/: Jest test files for all functionality

Testing

The project uses Jest for testing. To run the tests:

npm test

To run tests in watch mode during development:

npm run test:watch

Contributing

To contribute:

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Add tests for your changes
  4. Commit your changes (git commit -m 'Add some amazing feature')
  5. Push to the branch (git push origin feature/amazing-feature)
  6. Open a Pull Request

License

MIT License

smithery badge

FAQ

What is the Spotify MCP server?
Spotify is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Spotify?
This profile displays 52 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.752 reviews
  • Shikha Mishra· Dec 24, 2024

    Spotify has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Zara Jackson· Dec 24, 2024

    Strong directory entry: Spotify surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Arya Nasser· Dec 24, 2024

    I recommend Spotify for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Camila Anderson· Dec 20, 2024

    According to our notes, Spotify benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Zara Srinivasan· Dec 12, 2024

    We evaluated Spotify against two servers with overlapping tools; this profile had the clearer scope statement.

  • Arya Martin· Dec 8, 2024

    Useful MCP listing: Spotify is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Rahul Santra· Nov 15, 2024

    Spotify reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Liam Brown· Nov 15, 2024

    According to our notes, Spotify benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Michael Ramirez· Nov 11, 2024

    I recommend Spotify for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Zara White· Nov 3, 2024

    Spotify is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

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