FanPower (PickUp) MCP. Track fan picks, profiles, and event metrics in real time.
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FanPower (PickUp) MCP Server: Manage interactive sports and esports content by tracking fan picks, monitoring leaderboards, and accessing detailed fan profiles directly through your AI agent.
You can list all active questions, check reward availability, and pull event metrics without leaving your workflow.
What your AI agents can do
Get event details
Retrieves specific data and configuration for a single sports or esports event.
Get fan profile
Gets the detailed profile and participation history for one specific fan.
Get leaderboard
Fetches the fan leaderboard showing current engagement scores and rankings.
Retrieves lists of all active engagement questions and fetches full configurations for a specific question.
Lists all fan answers for interactive content and retrieves full details for any single fan's pick.
Lists all registered fans and participants, and retrieves a detailed profile including participation history for one fan.
Retrieves the current fan leaderboard, showing the top participants and their cumulative engagement scores.
Lists available sports/esports events and retrieves specific details about an event or an available reward.
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Supported MCP Clients
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FanPower (PickUp) MCP Server: 12 Tools for Fan Data Management
These tools let your agent list, retrieve, and analyze every piece of fan data, from individual picks to overall event metrics.
019d7596get event details
Retrieves specific data and configuration for a single sports or esports event.
019d7596get fan profile
Gets the detailed profile and participation history for one specific fan.
019d7596get leaderboard
Fetches the fan leaderboard showing current engagement scores and rankings.
019d7596get me
Retrieves the current API user's identity and access credentials.
019d7596get pick details
Gets the full information for one specific fan's answer (pick) to a question.
019d7596get question
Fetches the configuration and details for a single interactive engagement question.
019d7596get reward details
Retrieves all details about a specific available reward or achievement.
019d7596list events
Lists all sports or esports events that have interactive content available.
019d7596list fans
Lists all registered fans and participants currently in the system.
019d7596list picks
Lists all fan answers (picks) submitted for interactive content.
019d7596list questions
Lists all available interactive fan engagement questions.
019d7596list rewards
Lists all available rewards and achievements for participants.
Choose How to Get Started
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Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
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Make Your AI Do More
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What you can do with this MCP connector
WHO IT'S FOR: You're managing interactive sports or esports content, and you need to track fan picks, monitor leaderboards, and access detailed fan profiles directly through your AI agent. You can list all active questions, check reward availability, and pull event metrics without leaving your workflow.
Getting Started: Connect your AI client to the FanPower MCP Server. Your agent can now interact with all the data you need.
Managing Questions: You can pull a list of all active fan engagement questions using list_questions, and then grab the full configuration for any single question with get_question.
Tracking Fan Predictions (Picks): You'll see every fan answer (pick) submitted for the content by calling list_picks, and you can get the full details for any specific fan's answer using get_pick_details.
Viewing Fan Profiles and History: You can list all registered fans and participants using list_fans, and you'll get a detailed profile, including participation history, for any single fan with get_fan_profile.
Monitoring Leaderboard Status: Your agent pulls the current fan leaderboard, showing the top participants and their cumulative engagement scores, via get_leaderboard.
Event and Reward Details: You can list all available sports or esports events with list_events, and you can pull specific data and configuration for a single event using get_event_details. You'll also see all available rewards and achievements by calling list_rewards, and you can get all the specific details about one reward using get_reward_details.
System Info: You can check the current API user's identity and access credentials with get_me.
How FanPower (PickUp) MCP Works
- 1 Subscribe to the FanPower (PickUp) server and input your API Key.
- 2 Connect your AI client (Claude, Cursor, etc.) to the server via MCP.
- 3 Ask your agent to run a tool, for example: 'List all active engagement questions' (
list_questions).
The bottom line is that your AI agent runs the data calls—you just ask it what to look up.
Who Is FanPower (PickUp) MCP For?
The Sports Media Publisher who needs to track audience engagement without switching tabs. The Engagement Manager who tracks leaderboard trends and reward distribution. Esports Teams needing to pull fan participation metrics directly into their marketing stack. This is for anyone whose job involves analyzing real-time, high-volume audience data.
Monitors question performance and fan participation rates across multiple events without leaving the publishing workflow.
Tracks leaderboard trends and manages reward distribution by running queries on fan data and achievement lists.
Pulls fan data and participation metrics directly into AI-powered marketing reports and campaigns.
What Changes When You Connect
- See fan engagement metrics instantly. Instead of manually checking dashboards, run
get_leaderboardto pull the top 5 fans and their scores directly into your chat conversation. - Access fan data without context switching. Use
list_fansandget_fan_profileto pull a participant's entire history, allowing you to build a zero-party database on the fly. - Know what the audience is thinking. Run
list_picksto see the latest answers for an event, giving you immediate sentiment analysis on a question. - Manage content lifecycle. Use
list_questionsto list all active engagement questions andget_questionto fetch the specific configuration needed for a widget. - Coordinate events efficiently. Use
list_eventsto get all available sports/esports events, then drill down withget_event_detailsto confirm the dates and scope. - Monitor rewards and achievements. Run
list_rewardsto see what's available andget_reward_detailsto check the specific criteria for earning it.
Real-World Use Cases
Analyzing a Major Event's Immediate Impact
A sports editor needs to know how the audience reacted to the final buzzer. They ask their agent to run list_picks for the event. The agent returns 50 new picks, showing that 70% of fans predicted a Lakers victory, while 30% went with the Celtics. This data instantly informs the next day's editorial angle.
Building a Target Fan List for Advertising
The marketing team needs a list of high-value participants. They run list_fans to get all participants, then use get_fan_profile on the top 10. This builds a segmented, enriched list of fans with detailed participation history, ready for ad targeting.
Checking Reward Eligibility After a Game
A community manager needs to know if a fan who just participated in a quiz qualifies for a prize. They check list_rewards for available prizes, then use get_question to verify the quiz details, finally using get_pick_details to confirm the fan's specific answer against the criteria.
Reviewing All Active Content
The content strategist needs a full inventory of all interactive content. They run list_questions to see every active widget, and then use list_events to confirm which specific sports events those questions relate to.
The Tradeoffs
Manually checking multiple dashboards
The content manager has to open the main event dashboard, click the 'Fans' tab, open the 'Picks' tab, and then switch to the 'Rewards' ledger to piece together a fan's full journey.
→
Instead, ask your agent to run get_fan_profile combined with list_picks and get_leaderboard. This single interaction pulls the fan's history, their answers, and their standing all at once.
Ignoring data relationships
Assuming a fan's high score on the leaderboard means they are the most valuable, without checking their actual profile or participation history.
→
Always cross-reference. Use get_fan_profile to get the context behind the score shown by get_leaderboard. This validates the fan's history and participation depth.
Querying data piece by piece
Running list_events to get an ID, then running get_event_details using that ID, and then running get_question for a question ID. This takes multiple steps and is fragile.
→ If your agent supports it, try to ask for a consolidated view: 'Show me the questions for the event with ID X.' This minimizes tool calls and keeps the context tight.
When It Fits, When It Doesn't
Use this server if your core job is analyzing audience behavior, tracking engagement, or managing interactive content for sports/esports. You need to see the connection between a fan's actions (get_fan_profile, list_picks) and the event's metrics (list_events, get_leaderboard).
Don't use this if you are simply managing basic user account data (use a standard user directory tool) or if you only need to send messages. This server is for deep data retrieval and analytics. If you only need to know what rewards are available, list_rewards is enough, but if you need to know who earned them, you need the whole suite.
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.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 12 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Tracking fan engagement used to be a mess of dashboards and tabs.
Before this MCP server, tracking fan engagement meant bouncing between the main event platform, the dedicated fan ledger, and the reward management system. You'd copy a fan's ID from one screen, paste it into another, and manually cross-reference their score against the question details. It was slow, prone to copy-paste errors, and always left you feeling like you missed a key data point.
Now, you talk to your agent. You ask it to 'Show me the top 10 fans and what questions they answered.' The agent runs `get_leaderboard` and `get_fan_profile` simultaneously. It hands you a single, narrative report that connects the fan's standing, their specific picks, and their full history. It's instant, and it connects the dots.
FanPower (PickUp) MCP Server: Understand the fan, the pick, and the reward.
You used to have to run three separate reports: one for the event details, one for the list of picks, and a third for the available rewards. You'd get three separate CSVs, then spend an hour manually matching the fan IDs and the pick IDs to see if the pick qualified for the reward.
Now, you ask your agent to 'Check if Fan X's pick qualifies for a prize.' The agent runs `get_fan_profile` to verify the fan, runs `get_pick_details` to verify the pick, and then checks `get_reward_details` against the event context. It gives you a simple yes/no answer, complete with the rule that applies. It just works.
Common Questions About FanPower (PickUp) MCP
How do I use the `list_questions` tool to see all active content? +
Run list_questions to get a list of all engagement questions. The output will provide the IDs and titles of every active widget, which you can then use with get_question for deeper details.
Can I use `get_fan_profile` to track a fan's history? +
Yes, get_fan_profile retrieves the fan's full participation history. This data lets you build out a zero-party database showing exactly how often and what content they engage with.
What is the difference between `list_picks` and `get_pick_details`? +
list_picks shows a summary list of all picks submitted for an event. get_pick_details gives the full, deep-dive record for one specific pick, including its context and associated questions.
How do I check the top fans using `get_leaderboard`? +
Call get_leaderboard to fetch the current fan leaderboard. The result includes fan names, scores, and rankings, letting you immediately see who's currently winning the engagement contest.
Do I need to use `list_events` before `get_event_details`? +
It's best practice. First, use list_events to get the event ID. Then, pass that ID to get_event_details to get all the specific metrics and content for that single event.
How do I use `get_me` to verify my API access level? +
Running get_me shows your current API user identity and authorized access levels. This confirms you have the necessary permissions to execute other tools, like accessing fan profiles or event data.
If I need fan participation data, should I use `list_fans` or `list_picks`? +
You should use list_fans to get a roster of registered participants. Then, use list_picks to retrieve the specific answers or predictions those fans made for interactive content.
What happens if I use `get_question` with an invalid ID? +
If the ID is invalid, the tool returns an error indicating the question does not exist. You'll need to use list_questions first to find the correct, active ID.
How do I obtain my FanPower (PickUp) API Key? +
You can request an API Key from your account manager at PickUp or through their developer portal at wiki.playpickup.com.
Can I see the results of individual fan predictions? +
Yes! The list_picks and get_pick_details tools allow you to retrieve individual answers submitted by fans for any interactive content.
Is it possible to monitor the fan leaderboard? +
Absolutely. Use the get_leaderboard tool to see the top-performing fans based on their participation and prediction accuracy.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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