How to Use the FanPower (PickUp) MCP in AutoGen

Debate fan engagement strategies in AutoGen using the FanPower (PickUp) MCP Server.

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Connect FanPower (PickUp) MCP to AutoGen

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

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Claude

Perplexity

Let agents argue over fan picks

Set up a team of agents to analyze data from `list_picks`. One agent can flag suspicious patterns while another evaluates engagement depth. They negotiate the final assessment. This gives you a balanced view of fan behavior that a single agent would miss.

Automate event management via consensus

Use `list_events` and `get_event_details` to feed your multi-agent team. They discuss the best timing for new questions based on live event status. You get a final recommendation based on a group decision. It removes the bias of a single model's preference.

Negotiate reward distribution

Have your agents debate which fan profiles deserve specific rewards. They compare `get_fan_profile` data against current `list_rewards` inventory. They reach a consensus on who gets what. This ensures your rewards align with actual fan activity rather than arbitrary rules.

Setup guide

Set up FanPower (PickUp) MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes FanPower (PickUp) tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="FanPower (PickUp)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent FanPower (PickUp) data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="FanPower (PickUp)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent FanPower (PickUp) data")
    print(result.messages[-1].content)

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.

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Common questions about FanPower (PickUp) MCP in AutoGen

You assign the MCP tools to your agents in the constructor. They then share access to the server and debate how to use the tools to solve your tasks.

Yes, you can task your agents with reviewing leaderboard data from `get_leaderboard`. They compare notes to verify scores and flag discrepancies.

As many as you define. The server handles concurrent requests, allowing your entire agent team to query the API simultaneously.

The connection lasts for the duration of your agent conversation. Once the session ends, the link is severed for security.

Your fan identifiers are processed in an isolated sandbox. Only the agent team sees the data required to complete the specific task at hand.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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