How to Use the FanPower (PickUp) MCP in Cursor

Q: How do I configure the FanPower (PickUp) MCP Server in Cursor?

Create a .cursor/mcp.json file in your project root and add the server configuration. Once saved, enable Agent mode in your Cursor chat. Your editor will immediately have access to all 12 tools via this local MCP connection.

Q: How do I retrieve specific sports event details?

Ask the Cursor agent to call geteventdetails with a specific event ID. The agent will pull the event metadata directly into your chat or use it to populate your code files.

Q: How is my fan pick data protected within Cursor?

All transactions involving listpicks and getpickdetails run through an ephemeral, zero-trust sandbox. Your API tokens are managed locally, ensuring fan prediction data never leaks to unauthorized LLM training sets.

Build sports apps with live fan engagement data using Cursor to query picks, leaderboards, and active questions.

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Connect FanPower (PickUp) MCP to Cursor

Create your Vinkius account to connect FanPower (PickUp) 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 FanPower (PickUp) with Cursor

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Generate sports code using real FanPower (PickUp) data

`get_fan_profile` pulls actual user metrics directly into your Cursor editor. Your agent uses this tool to write accurate data models instead of relying on generic stubs or guessed payloads. When you build leaderboard features, the agent runs `get_leaderboard` to inspect the JSON structure. That's how you avoid production bugs.

Debug fan engagement logic in Cursor with this MCP Server

`list_questions` retrieves the active pool of engagement queries to test your API integration. Cursor analyzes the live response to help you debug filtering logic on the spot. If a specific query fails, your agent invokes `get_question` to inspect the parameters. You get instant feedback in your terminal chat without writing manual curl requests.

Map reward structures directly inside your editor

`list_rewards` fetches the active reward catalog so you can design accurate redemption flows. Cursor reads the returned objects to write precise TypeScript interfaces for your application. To handle specific prize details, your agent executes `get_reward_details` to see how points are calculated. This keeps your front-end code perfectly synced with your backend reward database.

Setup guide

Set up FanPower (PickUp) 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 FanPower (PickUp) 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 FanPower (PickUp) transactions." If the MCP tools are loaded correctly, Cursor will call the FanPower (PickUp) tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

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

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

Create a `.cursor/mcp.json` file in your project root and add the server configuration. Once saved, enable Agent mode in your Cursor chat. Your editor will immediately have access to all 12 tools via this local MCP connection.

You don't need mock data because Cursor pulls real JSON payloads. Your agent calls `list_picks` to fetch actual fan decisions directly into your coding session. This lets you write functions against true production schemas.

Yes, Cursor runs the server locally via node stdio transport. This setup allows your agent to execute commands like `get_me` to verify your API credentials instantly inside your editor.

Ask the Cursor agent to call `get_event_details` with a specific event ID. The agent will pull the event metadata directly into your chat or use it to populate your code files.

All transactions involving `list_picks` and `get_pick_details` run through an ephemeral, zero-trust sandbox. Your API tokens are managed locally, ensuring fan prediction data never leaks to unauthorized LLM training sets.

Use it with your favorite AI tools

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

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