FanPower (PickUp) MCP Server for LangChain 12 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect FanPower (PickUp) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"fanpower-pickup": {
"transport": "streamable_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,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using FanPower (PickUp), show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(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.
LangChain's ecosystem of 500+ components combines seamlessly with FanPower (PickUp) through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the FanPower (PickUp) MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 12 tools from FanPower (PickUp) via MCP
Why Use LangChain with the FanPower (PickUp) MCP Server
LangChain provides unique advantages when paired with FanPower (PickUp) through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine FanPower (PickUp) MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across FanPower (PickUp) queries for multi-turn workflows
FanPower (PickUp) + LangChain Use Cases
Practical scenarios where LangChain combined with the FanPower (PickUp) MCP Server delivers measurable value.
RAG with live data: combine FanPower (PickUp) tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query FanPower (PickUp), synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain FanPower (PickUp) tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every FanPower (PickUp) tool call, measure latency, and optimize your agent's performance
FanPower (PickUp) MCP Tools for LangChain (12)
These 12 tools become available when you connect FanPower (PickUp) to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting FanPower (PickUp) to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersFanPower (PickUp) + LangChain FAQ
Common questions about integrating FanPower (PickUp) MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.