Spotify▌
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.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
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
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:
- Go to Spotify Developer Dashboard
- Create a new application
- Get your Client ID and Client Secret
- 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 tokensearch: Search for tracks, albums, artists, or playlistsget_artist: Get artist informationget_artist_top_tracks: Get an artist's top tracksget_artist_related_artists: Get artists similar to a given artistget_artist_albums: Get an artist's albumsget_album: Get album informationget_album_tracks: Get an album's tracksget_track: Get track informationget_available_genres: Get a list of available genres for recommendationsget_new_releases: Get new album releasesget_recommendations: Get track recommendations based on seed tracks, artists, or genresget_audiobook: Get audiobook information with optional market parameterget_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 userget_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 positionremove_tracks_from_playlist: Remove one or more tracks from a playlist with optional positions and snapshot IDget_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 supportget_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 endpointssrc/types/: TypeScript interfaces for request and response objectssrc/utils/: Utility functions and classes for API communicationsrc/__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:
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature) - Add tests for your changes
- Commit your changes (
git commit -m 'Add some amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
License
MIT License
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.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 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
4.7★★★★★52 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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