How to Use the FanPower (PickUp) MCP in LangChain

Build complex fan engagement pipelines in LangChain using direct data from the FanPower (PickUp) MCP Server.

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Connect FanPower (PickUp) MCP to LangChain

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

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Claude

Perplexity

Chain event data into fan insights

Feed live event data directly into your reasoning chains. Use `list_events` to trigger your logic, then follow up with `get_event_details` to narrow down the context for your agent. Your pipeline handles the output of one tool as the input for the next. This creates a clear path from a live game event to specific fan activity without manual intervention.

Automate fan pick analysis

Connect your LangChain agent to `list_picks` to pull current fan answers in real-time. Process these responses through `get_pick_details` to identify high-engagement trends. Your agent decides the sequence of execution based on the data it receives. It connects the dots between raw picks and actionable insights for your team.

Sync rewards with performance metrics

Monitor the leaderboard and reward status automatically. Use `get_leaderboard` to identify top fans and `get_reward_details` to verify what they have earned. Your chain maintains state across these calls. You get a clear view of which rewards drive participation versus which ones sit idle.

Setup guide

Set up FanPower (PickUp) MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes FanPower (PickUp) tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "fanpower-pickup-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent FanPower (PickUp) transactions"
    })
    print(result["messages"][-1].content)

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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.

Why Choose Vinkius

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Common questions about FanPower (PickUp) MCP in LangChain

You use the MCP adapter to link the server to your agent. Once linked, you call the tools directly within your chain definition. This allows your agent to fetch live data during execution.

Yes, you can script a chain that checks scores and notifies you of changes. The agent pulls the latest standings using the server tools and processes them based on your logic.

The data is as accurate as the API responses returned by the server. Your LangChain tracing will show exactly what inputs and outputs occurred for every tool call.

Vinkius handles the security layer. You just need the endpoint token provided in your dashboard to establish a connection.

Your fan profile records remain on the host server. The agent only retrieves specific, requested fields during your active session.

Use it with your favorite AI tools

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