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How to Use the Last.fm MCP in Windsurf

Let Windsurf analyze your listening habits and build custom playlists on the fly with the Last.fm MCP Server.

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Windsurf

Connect Last.fm MCP to Windsurf

Create your Vinkius account to connect Last.fm to Windsurf and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Audit Your Music Taste with Windsurf

The `get_user_info` tool fetches your overall profile statistics so Windsurf can analyze your listening trends. Cascade reads your raw play counts, spots your favorite genres, and suggests new artists to explore based on actual data rather than guesses. You don't have to prompt Cascade for every single step of this scrobble analysis. It calls the user endpoint, grabs your top tags, and maps out your musical profile in one autonomous run.

Build Smart Playlists Automatically

The `get_recent_tracks` tool pulls your latest scrobbles directly into your Windsurf workspace. Cascade chains this with `get_top_artists` to build a localized list of music recommendations in your project files. Because Windsurf handles multi-step tasks on its own, it generates the playlist file, populates it with your real listening history, and keeps it updated without manual intervention. This MCP server integration brings live scrobble data straight to your local development environment.

Enrich Local Metadata with Artist Context

The `get_artist_info` tool retrieves biography and tag data for any musician in your history. Windsurf uses this metadata to organize your personal music library database, matching local files with official Last.fm records. Cascade writes the scripts to update your local JSON files, fetches the missing artist bios, and validates the schema. Connecting this MCP Server means your AI agent has direct access to millions of music profiles.

Setup guide

Set up Last.fm MCP in Windsurf

Prerequisites

  • Windsurf IDE installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP configuration

    Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.

  2. 2

    Add the Last.fm MCP

    Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Refresh MCPs

    Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.

  4. 4

    Verify in Cascade

    Start a new Cascade conversation and ask something like "Show my Last.fm payment history." If connected, Cascade will call the Last.fm tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json
{
  "mcpServers": {
    "lastfm-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Last.fm. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Last.fm MCP in Windsurf

Open your Windsurf settings and go to the Cascade MCP panel, or open `~/.codeium/windsurf/mcp_config.json` directly. Add the server under the `mcpServers` key with your credentials, and Cascade will immediately discover all ten music tools.
Yes. Windsurf reads your scrobbles using `get_recent_tracks` and Cascade can write a script to save that data into any format you need, like CSV or JSON, directly in your workspace.
Windsurf can use all ten tools, including `get_top_albums` and `get_track_info`. Cascade plans the sequence, running multiple queries back-to-back to compile a complete profile of your listening habits.
No. You just state your goal, like analyzing your favorite releases, and the agent chains the tools to fetch your profile data and build the report.
The server only reads public profile data, such as your scrobbles and loved tracks, through read-only API calls. Windsurf runs this connection through a secure, isolated sandbox, meaning your username and music history never leak to external third parties.

Start using the Last.fm MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Last.fm. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

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