Spotify play counts for any track, album, artist or playlist, plus monthly listeners and followers.
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io.github.GeminiGeorge22/spotify-play-count-mcp is an MCP server that spotify play counts for any track, album, artist or playlist, plus monthly listeners and followers. Its tool list has not been published yet over http and stdio, requires no API key, and scores 62/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"spotify-play-count": {
"url": "https://mcp.apify.com?tools=publicrecords/spotify-play-count-scraper"
}
}
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Spotify play counts for any track, album, artist or playlist, plus monthly listeners and followers.
This server supports HTTP transport. Be the first to test it - help the community know if it works.
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An MCP server that gives your AI assistant Spotify play counts. Paste a track, album, artist or playlist link (or a spotify: URI) and it returns every track's play count, and for artists their monthly listeners, followers, world rank and top cities. Optionally it adds streams over the last 1, 7 and 30 days for tracks in daily tracking. No Spotify login and no proxy setup.
Built on the public Spotify web pages, via the Apify Actor Spotify Play Count & Monthly Listeners Scraper. Not affiliated with Spotify.
| Tool | Input | Output |
|---|---|---|
publicrecords--spotify-play-count-scraper | urls (track, album, artist or playlist links or URIs), addDailyStreams, includeArtistAlbums, maxTracksPerTarget | One row per track (track, artists, album, play count, release date, links) and one per artist (monthly listeners, followers, world rank, top cities) |
About the daily stream fields (streamsLast1d, streamsLast7d, streamsLast30d, with addDailyStreams on): a track seen for the first time gets empty values on that day. The fields fill in after the first day of history, so a run a day later shows the last day and a week later the last 7 days.
The full input schema is in tools.json, generated from the Actor's public input schema and checked for drift daily.
https://mcp.apify.com?tools=publicrecords/spotify-play-count-scraper
Transport: Streamable HTTP (hosted by Apify, see https://docs.apify.com/mcp).
Sign in with Apify OAuth when your client prompts you, or send the header
Authorization: Bearer <APIFY_TOKEN> where <APIFY_TOKEN> is your own Apify API token.
Never commit a real token.
Claude Code:
claude mcp add --transport http spotify-play-count "https://mcp.apify.com?tools=publicrecords/spotify-play-count-scraper"
Claude Desktop / claude.ai: Settings → Connectors → Add custom connector, and paste the MCP endpoint URL above.
~/.cursor/mcp.json:
{
"mcpServers": {
"spotify-play-count": {
"url": "https://mcp.apify.com?tools=publicrecords/spotify-play-count-scraper"
}
}
}
.vscode/mcp.json:
{
"servers": {
"spotify-play-count": {
"type": "http",
"url": "https://mcp.apify.com?tools=publicrecords/spotify-play-count-scraper"
}
}
}
To use a token instead of OAuth, add "headers": { "Authorization": "Bearer <APIFY_TOKEN>" } next to "url".
Disclosure: I maintain this Actor.
This repo also ships a small MCP server in src/ for clients that only run local stdio servers. It answers initialize and tools/list locally from tools.json, which is generated from the Actor's public input schema and checked for drift in CI and daily, so any client or directory can inspect the tools with no token. tools/call is forwarded to the hosted Apify MCP endpoint above with your own APIFY_TOKEN; without a token a call returns a clear error instead of running anything. The token is only sent in the Authorization header and is never logged.
npx -y github:GeminiGeorge22/spotify-play-count-mcp
{
"mcpServers": {
"spotify-play-count": {
"command": "npx",
... [View full README on GitHub](https://github.com/geminigeorge22/spotify-play-count-mcp#readme)