Spotify Play Count MCP: Plays & Monthly Listeners

Spotify Play Count MCP: Plays & Monthly Listeners

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.

• Apify Store: https://apify.com/publicrecords/spotify-play-count-scraper
• MCP server: https://mcp.apify.com?tools=publicrecords/spotify-play-count-scraper

Example prompts

• "How many plays does each track on this album have? https://open.spotify.com/album/4aawyAB9vmqN3uQ7FjRGTy";
• "Compare monthly listeners and followers for these three artists."
• "Which tracks on this playlist have the most plays?"
• "Track my artist page weekly and show streams per day for every song."

Tool

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.

MCP endpoint

https://mcp.apify.com?tools=publicrecords/spotify-play-count-scraper

Transport: Streamable HTTP (hosted by Apify, see https://docs.apify.com/mcp).

Auth

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.

Client setup

Claude

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

~/.cursor/mcp.json:

{
  "mcpServers": {
    "spotify-play-count": {
      "url": "https://mcp.apify.com?tools=publicrecords/spotify-play-count-scraper"
    }
  }
}

VS Code

.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.

Local stdio server (open source)

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",
      "args": ["-y", "github:GeminiGeorge22/spotify-play-count-mcp"],
      "env": { "APIFY_TOKEN": "YOUR_APIFY_TOKEN" }
    }
  }
}

Or from a clone:

git clone https://github.com/GeminiGeorge22/spotify-play-count-mcp.git
cd spotify-play-count-mcp && npm install
APIFY_TOKEN=YOUR_APIFY_TOKEN node src/server.js

Optional env: APIFY_ACTORS (comma-separated subset of the Actors above) and APIFY_MCP_URL (full endpoint override).

Tests run against an in-memory mock server, with no network and no token: npm test. Requires Node.js 18+.

Python (uvx/pip)

A matching Python version of this server lives in python/, built on the official mcp Python SDK: same tool, same APIFY_TOKEN, same hosted endpoint. Requires Python 3.10+.

uvx spotify-play-count-mcp

{
  "mcpServers": {
    "spotify-play-count": {
      "command": "uvx",
      "args": ["spotify-play-count-mcp"],
      "env": { "APIFY_TOKEN": "YOUR_APIFY_TOKEN" }
    }
  }
}

Or with pip: pip install spotify-play-count-mcp, then run spotify-play-count-mcp. Until the first PyPI release, run it from GitHub: uvx --from "git+https://github.com/GeminiGeorge22/spotify-play-count-mcp#subdirectory=python" spotify-play-count-mcp. Python tests: cd python && pip install -e ".[test]" && env -u APIFY_TOKEN python -m pytest.

See also

• google-ads-transparency-mcp: Competitor Google ads from the Ads Transparency Center: new, running and stopped.
• etsy-sales-mcp: Etsy search results and Etsy shop sales.
• ecommerce-sales-mcp: E-commerce sales signals: Amazon bestsellers and reviews, eBay sold prices, TikTok Shop and Etsy shop sales.
• sports-odds-mcp: Sports odds from Kambi sportsbooks.