How to Use the Genius Referrals MCP in OpenAI Agents SDK

Q: How do I connect the Genius Referrals MCP Server to the OpenAI Agents SDK?

Install openai-agents and initialize MCPServerStreamableHttp with your Vinkius endpoint. Pass this server object into your OpenAI agent's constructor to let the model access Genius Referrals tools like listprogramadvocates immediately.

Q: How does OpenAI Agents SDK prevent double-payouts in Genius Referrals?

The OpenAI agent runs a verification step by calling listpayoutrequests and listawardedbonuses before approving any new reward. This prevents duplicate payouts by checking the advocate's transaction history in Genius Referrals first.

Q: Can I filter top Genius Referrals advocates using the OpenAI Agents SDK?

You can have your OpenAI agent query listtopperformers to identify high-converting Genius Referrals advocates. The agent then uses getadvocatedetails to pull their contact info and send targeted campaign updates.

Run self-correcting campaigns using the OpenAI Agents SDK to track Genius Referrals advocates and automate payouts.

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Connect Genius Referrals MCP to OpenAI Agents SDK

Create your Vinkius account to connect Genius Referrals to OpenAI Agents SDK 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 OpenAI Agents SDK

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Auto-discover Genius Referrals tools via MCP

The `verify_api_connection` tool initializes your connection to the Genius Referrals MCP Server, letting your OpenAI agents auto-discover all referral endpoints. Your OpenAI agent automatically registers these tools without manual schema mapping, so it can instantly fetch campaign structures or advocate histories. When you pass the Genius Referrals server configuration to your OpenAI Agents SDK constructor, the setup handles the discovery. The OpenAI agent can immediately call `get_campaign_details` to verify active rewards or query `list_referral_campaigns` to determine which promo structure to apply.

Safe advocate registration with guardrails

The `register_advocate` tool lets your OpenAI agent onboard new brand advocates directly from conversational threads. Using built-in guardrails in your OpenAI agents, the model checks advocate input parameters before executing the Genius Referrals registration. If the OpenAI agent detects a typo, it prompts the user for correction instead of failing the Genius Referrals registration. Once verified, it calls `get_advocate_details` to confirm the OpenAI agent has an active profile to log conversions.

Autonomous payout auditing and conversion tracking

The `log_referral_conversion` tool records successful signups while your OpenAI agent coordinates Genius Referrals reward distribution. The OpenAI agent uses `list_tracked_referrals` to trace the origin of a conversion and match it against active campaign rules. To prevent fraud, the OpenAI agent pulls `list_payout_requests` and compares them against `list_top_performers` to flag unusual patterns. The OpenAI agent can then trigger Genius Referrals approvals or hold payouts for review based on real-time historical conversion ratios.

Setup guide

Set up Genius Referrals MCP in OpenAI Agents SDK

Prerequisites

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

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Genius Referrals tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Genius Referrals tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Genius Referrals tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Genius Referrals Agent",
            instructions="You have access to Genius Referrals tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 OpenAI Agents SDK

Install `openai-agents` and initialize `MCPServerStreamableHttp` with your Vinkius endpoint. Pass this server object into your OpenAI agent's constructor to let the model access Genius Referrals tools like `list_program_advocates` immediately.

Yes, your OpenAI agent can monitor incoming webhook data and call `log_referral_conversion` to register successful Genius Referrals signups. It uses the tool parameters to assign the conversion to the correct advocate ID.

The OpenAI agent runs a verification step by calling `list_payout_requests` and `list_awarded_bonuses` before approving any new reward. This prevents duplicate payouts by checking the advocate's transaction history in Genius Referrals first.

You can have your OpenAI agent query `list_top_performers` to identify high-converting Genius Referrals advocates. The agent then uses `get_advocate_details` to pull their contact info and send targeted campaign updates.

Vinkius runs the Genius Referrals MCP integration inside a zero-trust sandbox, meaning your advocate emails and payout records are never cached. The OpenAI Agents SDK communicates over encrypted HTTP streams to keep your user records isolated.

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