How to Use the ReferralHero MCP in OpenAI Agents SDK
Drive viral growth with OpenAI Agents SDK by letting your agents manage ReferralHero campaigns under strict execution guardrails.
Works with every AI agent you already use
…and any MCP-compatible client
Connect ReferralHero MCP to OpenAI Agents SDK
Create your Vinkius account to connect ReferralHero to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Gemini
Key Capabilities
Automate Subscriber Onboarding with OpenAI Agents SDK
`add_subscriber` registers new ReferralHero campaign participants directly from your OpenAI Agents SDK pipelines. Your OpenAI agent captures incoming lead data and immediately commits the subscriber to your viral loop. You set up a dedicated onboarding agent in OpenAI Agents SDK that calls `update_subscriber` once referral criteria are met. This multi-agent setup ensures your ReferralHero subscriber metadata remains perfectly synchronized with your backend state.
Track Conversions and Issue Points Safely
`track_conversion` registers referral events when your OpenAI Agents SDK agent detects successful customer signups. The OpenAI agent evaluates the referral chain and applies the correct reward logic based on live campaign data. To prevent abuse, your OpenAI Agents SDK guardrails inspect the `add_points` tool payload before executing any ReferralHero point modifications. You trace every single point modification directly in your OpenAI dashboard to monitor agent behavior.
Manage Leaderboards and Rewards via MCP Server
`get_leaderboard` pulls real-time rankings so your OpenAI Agents SDK agent can compile performance digests. The OpenAI agent reads current standings and drafts personalized progress updates for your top referrers. When users cross milestones, the agent calls `get_rewards` to match ReferralHero points to physical or digital payouts. This MCP Server integration handles the lookup and updates subscriber profiles instantly, closing the loop on viral loops.
Set up ReferralHero MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all ReferralHero tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives ReferralHero tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate ReferralHero tools and returns structured results. Copy the full example on the right to get started.
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="ReferralHero Agent",
instructions="You have access to ReferralHero tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main())Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ReferralHero. 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 ReferralHero MCP in OpenAI Agents SDK
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