FanPower (PickUp) MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect FanPower (PickUp) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using FanPower (PickUp), list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About FanPower (PickUp) MCP Server
Connect your FanPower (now PickUp) engagement account to any AI agent and take full control of your interactive sports and esports content through natural conversation.
The Vercel AI SDK gives every FanPower (PickUp) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Interactive Content Management — List all engagement questions and fetch detailed configurations for your interactive widgets
- Fan Pick Tracking — List and inspect individual fan answers (picks) to understand audience predictions and sentiment
- Audience Profiling — Retrieve fan profiles and participation history to build your zero-party database
- Gamification & Rewards — Monitor available rewards, achievements, and leaderboard rankings natively
- Event Coordination — List and inspect sports/esports events associated with your interactive content
- Identity Context — Verify your API user profile and authorized access levels flawlessly
The FanPower (PickUp) MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect FanPower (PickUp) to Vercel AI SDK via MCP
Follow these steps to integrate the FanPower (PickUp) MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 12 tools from FanPower (PickUp) and passes them to the LLM
Why Use Vercel AI SDK with the FanPower (PickUp) MCP Server
Vercel AI SDK provides unique advantages when paired with FanPower (PickUp) through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same FanPower (PickUp) integration everywhere
Built-in streaming UI primitives let you display FanPower (PickUp) tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
FanPower (PickUp) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the FanPower (PickUp) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query FanPower (PickUp) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate FanPower (PickUp) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed FanPower (PickUp) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with FanPower (PickUp) through natural language queries
FanPower (PickUp) MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect FanPower (PickUp) to Vercel AI SDK via MCP:
get_event_details
Get details for a specific event
get_fan_profile
Get the profile of a specific fan
get_leaderboard
Get the fan leaderboard for engagement scores
get_me
Get current API user identity
get_pick_details
Get details for a specific fan pick
get_question
Get details for a specific engagement question
get_reward_details
Get details for a specific reward
list_events
List sports or esports events with interactive content
list_fans
List registered fans and participants
list_picks
List fan picks (answers) for interactive content
list_questions
List all interactive fan engagement questions
list_rewards
List available rewards and achievements
Example Prompts for FanPower (PickUp) in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with FanPower (PickUp) immediately.
"List all active engagement questions on FanPower."
"Show me the top 5 fans on the leaderboard."
"List the latest fan picks for the Lakers vs Celtics game."
Troubleshooting FanPower (PickUp) MCP Server with Vercel AI SDK
Common issues when connecting FanPower (PickUp) to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFanPower (PickUp) + Vercel AI SDK FAQ
Common questions about integrating FanPower (PickUp) MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect FanPower (PickUp) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect FanPower (PickUp) to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.