How to Use the FanPower (PickUp) MCP in Google ADK

Connect FanPower (PickUp) to Google ADK to build enterprise-grade engagement agents on your existing cloud stack.

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Connect FanPower (PickUp) MCP to Google ADK

Create your Vinkius account to connect FanPower (PickUp) to Google ADK 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 Google ADK

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Perplexity

Sync events with Google ADK infrastructure

Connect `list_events` to your Gemini agents to process high-volume match data. Your agent parses event states to determine the best moment for interaction. Use `get_event_details` to feed specific match context into your long-context prompts. This approach keeps your agent grounded in the latest event data without hallucinating details.

Analyze fan engagement with Google ADK

Retrieve `list_questions` and `get_question` to feed your reasoning engine. Your agent evaluates how fans respond to specific prompts during live broadcasts. Use `get_leaderboard` to extract competitive data. By connecting this to your cloud infrastructure, you turn raw engagement numbers into actionable insights for your team.

Automate reward distribution via Google ADK

Invoke `list_rewards` to catalog what items are available for your users. Your agent matches these rewards to fan profiles retrieved via `get_fan_profile`. This process runs directly on your cloud-connected agent. You maintain full control over the logic that determines which fan gets which reward based on their activity.

Setup guide

Set up FanPower (PickUp) MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with FanPower (PickUp) tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="FanPower (PickUp)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to FanPower (PickUp) tools via MCP.",
    tools=mcp_tools,
)

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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.

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Common questions about FanPower (PickUp) MCP in Google ADK

You use the McpToolset to register the server. The ADK allows you to filter which tools are accessible to specific agents based on your requirements.

The server provides the tools, and your agent can write the results to your cloud storage. This lets you store and analyze fan data over long periods.

The server returns fan profile data only when queried. Your agent processes these identifiers within your secure cloud environment, keeping the data isolated.

The server uses a streamable HTTP transport. Your agent maintains the connection as long as the session remains active and authorized.

Your agent handles all data locally in memory. The MCP server acts as a secure gateway, ensuring only authorized requests reach your account.

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