How to Use the FanPower (PickUp) MCP in Mastra AI

Q: Can I build branching logic based on fan scores?

You bet. Your workflow can fetch a fan's rank using getleaderboard and branch based on their score. High-scoring fans get routed to premium rewards, while others receive standard engagement prompts.

Q: How is the privacy of fan profiles and leaderboard data managed within Mastra AI?

Every transaction involving getfanprofile and leaderboard scores runs through an ephemeral, zero-trust MCP sandbox. Your connection token is never exposed to third-party logs, keeping fan data compliant with privacy standards.

Build reliable, automated workflows that trigger FanPower (PickUp) reward distributions and leaderboards using Mastra AI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect FanPower (PickUp) MCP to Mastra AI

Create your Vinkius account to connect FanPower (PickUp) to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup FanPower (PickUp) with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate fan engagement loops using this MCP Server

Your agent calls `list_questions` to scan for active engagement prompts during live sports broadcasts. If a question closes, the Mastra workflow triggers `list_picks` to gather every fan answer submitted for that specific event. The built-in execution engine handles potential network hiccups automatically. Should the FanPower API rate limit your request, Mastra retries the call until it secures the data, keeping your game-day operations running without manual intervention.

Trigger reward workflows based on leaderboard rank

This integration uses `get_leaderboard` to identify top-performing fans at the end of a tournament. Once the winners are confirmed, the workflow calls `list_rewards` to match their scores with available prizes. You can design a multi-step workflow that pulls reward specifics via `get_reward_details` and emails the digital prize to the fan. If the email delivery fails, the system halts the workflow and alerts your admin team immediately.

Keep fan profiles updated across systems

The `get_fan_profile` tool retrieves specific participant records to check their historical engagement scores. Your agent uses `list_fans` to cross-reference these records with your internal CRM, ensuring all loyalty points match up. By running this as a scheduled Mastra workflow, you eliminate manual data entry. The system updates fan records in batches, keeping your marketing lists accurate without overloading your database.

Setup guide

Set up FanPower (PickUp) MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All FanPower (PickUp) tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "fanpower-pickup-mcp-client",
  servers: {
    "fanpower-pickup-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "FanPower (PickUp) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to FanPower (PickUp) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent FanPower (PickUp) transactions"
);
console.log(result.text);

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 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect FanPower (PickUp) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about FanPower (PickUp) MCP in Mastra AI

Register the server URL inside your Mastra client configuration. The framework automatically discovers tools like `list_events` and makes them available to your agents as executable steps.

Yes. You can configure Mastra to require manual approval before your agent calls `get_reward_details` or distributes prizes. This prevents accidental payouts of high-value rewards.

Mastra uses exponential backoff to retry failed tool calls like `get_event_details`. If the API remains unresponsive, the workflow executes your defined fallback path, such as alerting your Slack channel.

You bet. Your workflow can fetch a fan's rank using `get_leaderboard` and branch based on their score. High-scoring fans get routed to premium rewards, while others receive standard engagement prompts.

Every transaction involving `get_fan_profile` and leaderboard scores runs through an ephemeral, zero-trust MCP sandbox. Your connection token is never exposed to third-party logs, keeping fan data compliant with privacy standards.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript