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How to Use the FantasyData (SportsDataIO) MCP in Windsurf

Get raw NFL, NBA, and MLB stats pulled straight into your Windsurf workspace without manually prompting every step.

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Connect FantasyData (SportsDataIO) MCP to Windsurf

Create your Vinkius account to connect FantasyData (SportsDataIO) 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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Auto-build live sports dashboards

The `list_nba_players` tool gives Cascade the entry point it needs to map out active rosters without making you run manual lookups. Instead of asking you for player IDs one by one, your agent pulls the full list and feeds it directly into your local database scripts. From there, Cascade chains the `get_nba_player_details` tool to populate individual player profiles with deep performance stats. You set the end goal of a roster tracker, and the agent handles the multi-step collection pipeline behind the scenes.

Track real-time game schedules in Cascade

The `get_nfl_schedule` tool allows this MCP Server to feed upcoming matchups directly into your development environment for automated analysis. Cascade reads your active workspace context to see which game dates you care about, then gets the raw schedule data without a single manual copy-paste. Once it has the dates, Cascade automatically runs `get_nfl_scores` to check previous outcomes and update your UI state. It handles the entire sequence autonomously, letting you focus on building features rather than fetching data.

Run multi-league analytics using Windsurf

The `list_mlb_players` tool provides a direct bridge to active baseball rosters, letting your agent run complex statistical queries across multiple leagues simultaneously. Cascade coordinates this data with other sources, building comparative models without requiring you to write custom scraper scripts. By chaining `get_mlb_scores` and `get_mlb_player_details` through this MCP Server, the agent can backtest fantasy projection models on the fly. It writes the evaluation code, runs it against actual game outcomes, and shows you the final accuracy stats in your terminal.

Setup guide

Set up FantasyData (SportsDataIO) 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 FantasyData (SportsDataIO) 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 FantasyData (SportsDataIO) payment history." If connected, Cascade will call the FantasyData (SportsDataIO) tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json
{
  "mcpServers": {
    "fantasydata-sportsdataio-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 FantasyData (SportsDataIO). 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 FantasyData (SportsDataIO) MCP in Windsurf

Add the endpoint config to your mcp_config.json file under the mcpServers key. Once you hit refresh, Cascade gains immediate access to all 12 tools on this MCP Server.
Yes, Cascade can chain get_nfl_scores and list_nfl_players to write markdown reports on weekly player performances. It reads the raw data, drafts the analysis, and saves the file directly to your workspace.
Configure your SportsDataIO API keys in the environment variables before launching your editor. Cascade respects the API limits by reading response headers and adjusting its retrieval pacing during long runs.
Yes, you can configure Cascade to run these read-only data tools autonomously. It will query player details or schedules and present the final compiled dataset in one go.
This MCP Server only processes public sports stats, player profiles, game schedules, and scores. Your API keys and query parameters are isolated inside the local V8 sandbox, ensuring your private database configurations never leak to external networks.

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