How to Use the Genius Referrals MCP in Google ADK

Q: How do I configure the Genius Referrals MCP Server in the Google ADK?

Instanciate McpToolset with your Vinkius HTTP URL and pass it to your LlmAgent. Your Gemini agent can then invoke Genius Referrals tools like getcampaigndetails to read active reward rules.

Q: Can I restrict which Genius Referrals tools the Google ADK agent can access?

Yes, you can pass a toolnames filter to McpToolset in the Google ADK to limit your agent's capabilities. For example, you can restrict it to Genius Referrals listtrackedreferrals while blocking payout tools.

Feed Genius Referrals campaign metrics directly into Gemini models using the Google ADK.

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Connect Genius Referrals MCP to Google ADK

Create your Vinkius account to connect Genius Referrals 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 Genius Referrals with Google ADK

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Sync BigQuery data with Genius Referrals MCP Server

The `list_program_advocates` tool lets your Gemini agent pull advocate lists using the MCP standard. Using the Google ADK, your agent bridges the gap between your BigQuery databases and active Genius Referrals campaigns without writing custom ETL pipelines. The Google ADK agent reads your database, identifies high-value customers, and uses `register_advocate` to sign them up for your Genius Referrals program. It then updates your BigQuery tables with the new advocate ID returned by the API.

Long-context analysis of referral campaigns

The `list_tracked_referrals` tool pulls thousands of referral events into Gemini's massive context window for deep analysis. The Google ADK allows your agent to process months of Genius Referrals history in a single turn, spotting micro-trends that standard dashboards miss. By analyzing outputs from `list_awarded_bonuses` alongside your CRM logs, the Google ADK agent identifies which reward structures yield the highest customer lifetime value. It summarizes these findings and suggests tweaks to your active Genius Referrals campaigns.

Real-time payout auditing on Google Cloud

The `list_payout_requests` tool exposes pending redemptions to your Gemini-powered agent for automated fraud detection. The Google ADK agent cross-references these requests with historical data from `list_top_performers` to flag suspicious spikes in advocate activity. If a payout looks clean, the Google ADK agent uses `get_my_account` to verify account balances before signaling the payment gateway. All of this runs securely within your Genius Referrals and Google Cloud IAM boundaries.

Setup guide

Set up Genius Referrals 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 Genius Referrals 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="Genius Referrals_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Genius Referrals 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 Genius Referrals. 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 Genius Referrals MCP in Google ADK

Instanciate `McpToolset` with your Vinkius HTTP URL and pass it to your `LlmAgent`. Your Gemini agent can then invoke Genius Referrals tools like `get_campaign_details` to read active reward rules.

Yes, you can pass a `tool_names` filter to `McpToolset` in the Google ADK to limit your agent's capabilities. For example, you can restrict it to Genius Referrals `list_tracked_referrals` while blocking payout tools.

The Google ADK uses Gemini's long-context window to process large payloads from `list_program_advocates` without hitting token limits. This allows the model to analyze entire Genius Referrals campaign populations in one run.

Your Google ADK agent can read a customer list from BigQuery and call `register_advocate` for each qualifying user. It automates the Genius Referrals onboarding process based on your SQL query results.

Yes, all API traffic for advocate transactions and payout histories is encrypted end-to-end. Vinkius executes the MCP server in isolated sandboxes, ensuring Google ADK never exposes sensitive customer data.

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