How to Use the GameScorekeeper MCP in Cursor

Q: How do I connect GameScorekeeper to my Cursor editor?

Add the server to your .cursor/mcp.json file in your project root. Once Cursor detects the configuration, the sports data tools will be active for your Cursor Agent in chat.

Q: Can Cursor Agent use GameScorekeeper to debug my fantasy sports application?

Yes, it can. The agent uses getplayerstats to pull real-time athlete metrics and compares them against your app's local state to find scoring discrepancies.

Feed live esports and football data straight to Cursor Agent to write code using real player stats and fixture schedules.

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Connect GameScorekeeper MCP to Cursor

Create your Vinkius account to connect GameScorekeeper to Cursor 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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Setup GameScorekeeper with Cursor

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Write Sports Code with Real Data in Cursor

Stop writing mock JSON payloads for your sports apps. This MCP Server lets Cursor run `list_fixtures` and `get_player_stats` to inject real, live sports data directly into your active editor buffer. When you ask Cursor to build a UI component, it uses actual player metrics instead of placeholder text. This means you catch edge cases in layout design before committing your code.

Build Dynamic Tournament Trees

Designing brackets requires understanding actual competition structures. Your agent uses `list_competitions` and `list_competition_stages` to map out how tournaments are organized. Cursor reads the exact stage names and formats, then generates the frontend components to match. You don't have to spend hours reading API documentation to understand the tournament nesting.

Generate Roster Cards with Live Stats

Create player profile pages that actually display current form. The agent calls `get_player_details` and `get_team_details` to pull player bios, team associations, and logo assets. Cursor writes the TypeScript interfaces and the rendering logic simultaneously based on the live payload. You get working code that maps perfectly to the real API schema on your first try.

Setup guide

Set up GameScorekeeper MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the GameScorekeeper MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent GameScorekeeper transactions." If the MCP tools are loaded correctly, Cursor will call the GameScorekeeper tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GameScorekeeper. 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 GameScorekeeper MCP in Cursor

Add the server to your `.cursor/mcp.json` file in your project root. Once Cursor detects the configuration, the sports data tools will be active for your Cursor Agent in chat.

Yes, it can. The agent uses `get_player_stats` to pull real-time athlete metrics and compares them against your app's local state to find scoring discrepancies.

No, the MCP Server queries the live sports API directly to ensure you always get the latest fixtures and team forms. Cursor manages the tool execution state during your coding session.

Yes. You can ask Cursor to analyze a team's recent trajectory, and it will call `get_team_form` to pull their latest match results directly into your workspace.

The server only processes public sports schedules, team profiles, and athlete performance metrics. Your local source code remains entirely private within your Cursor editor environment and is never shared with the sports data API using this MCP connection.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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