MCP Servers

Spotify MCP Server (Python)

Enables interaction with Spotify through MCP, providing tools for searching tracks, artists, albums, playlists, and accessing user data like top tracks and recently played.

Category

README

Spotify MCP Server (Python)

MCP server for Spotify integration using PKCE authentication.

Features

PKCE authentication (no client secret needed)
Automatic token caching and refresh
14 Spotify tools for search, user data, and more

Installation

cd spotify-mcp-py
pip install -e .

Setup

Create Spotify App at https://developer.spotify.com/dashboard:
- Add redirect URI: http://127.0.0.1:8888/callback
- Copy your Client ID
Configure Claude Desktop at ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "spotify": {
      "command": "python",
      "args": [
        "-m",
        "spotify_mcp.server"
      ],
      "env": {
        "SPOTIFY_CLIENT_ID": "your_client_id_here"
      }
    }
  }
}

Restart Claude Desktop - browser will open for Spotify login on first use

Available Tools

search_tracks - Search for tracks
get_track - Get track details
search_artists - Search for artists
get_artist - Get artist details
get_artist_top_tracks - Get artist's top tracks
search_albums - Search for albums
get_album - Get album details
search_playlists - Search for playlists
get_playlist - Get playlist details
get_current_user - Get user profile
get_user_playlists - Get user's playlists
get_user_top_tracks - Get user's top tracks
get_user_top_artists - Get user's top artists
get_recently_played - Get recently played tracks

Token Cache

Tokens are cached in ~/.spotify-mcp/token-cache.json and automatically refreshed.

Recommended Servers

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

E2B

Using MCP to run code via e2b.

Neon Database

MCP server for interacting with Neon Management API and databases

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.