How to Use the FanPower (PickUp) MCP in LlamaIndex

Index live fan activity in LlamaIndex with the FanPower (PickUp) MCP Server.

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 LlamaIndex

Create your Vinkius account to connect FanPower (PickUp) to LlamaIndex 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 LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Turn fan activity into searchable knowledge

Feed the output of `list_questions` and `get_question` into your vector store. Your index now understands the history of your engagement questions. This makes your knowledge base smarter over time. You stop guessing what fans want and start querying what they actually picked in past events.

Ground your agent in real-time data

Use the server to pull fresh data before generating responses. By calling `get_fan_profile` through the MCP integration, your index provides answers based on the latest participant status. Your RAG pipeline stays current. You avoid hallucinations by forcing the agent to fetch the truth from the server every time a query hits.

Map rewards to fan profiles

Aggregate reward history and fan metrics into a single searchable index. Use `list_rewards` and `get_fan_profile` to build a complete picture of your community. You can query this index to find patterns in reward redemption. It turns raw API data into structured knowledge you can actually search.

Setup guide

Set up FanPower (PickUp) MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all FanPower (PickUp) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to FanPower (PickUp) tools.",
)
response = await agent.run("List recent FanPower (PickUp) data")

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 LlamaIndex

The MCP tool spec converts server functions into searchable tools. LlamaIndex then indexes the results so you can perform semantic searches across your event data.

Absolutely. By grounding your agent in live API responses, you ensure the AI answers questions using current information instead of stale training data.

The server provides the data, and LlamaIndex handles the indexing. You define how the tool outputs are stored and searched within your application.

Your data is managed by the server provider. The connection is ephemeral, meaning the agent only accesses what it needs for the current query.

All communication is encrypted via the Vinkius gateway. No raw data is cached permanently on your client side without your explicit configuration.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python