How to Use the FirstPromoter MCP in OpenAI Agents SDK

Q: How do I connect the FirstPromoter MCP Server to my OpenAI Agents SDK?

Install the library via pip install openai-agents. Initialize MCPServerStreamableHttp using your Vinkius endpoint, set cacheToolsList=True for performance, and pass the server instance directly into your Agent constructor.

Q: Can my OpenAI Agents SDK agent automatically issue FirstPromoter rewards?

Yes, by exposing createreward and listrewards to your agent. The agent checks conversion history first, then triggers the reward tool, while OpenAI's guardrails prevent unauthorized execution limits.

Q: Can I trace FirstPromoter API calls made by the agent?

Every call to listconversions or getpayoutstats is logged in the OpenAI developer dashboard. You see the exact inputs, tool outputs, and execution latency for every affiliate operation.

Run safe, production-grade affiliate automations directly inside your OpenAI Agents SDK pipelines with zero-config tool discovery.

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Connect FirstPromoter MCP to OpenAI Agents SDK

Create your Vinkius account to connect FirstPromoter 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 FirstPromoter with OpenAI Agents SDK

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Secure Reward Issuance

The FirstPromoter MCP Server exposes real-time affiliate tracking directly to your OpenAI Agents SDK runtime. Your agent calls `create_reward` and `get_payout_stats` within a secure execution sandbox to handle affiliate payouts automatically. By tracking actual payouts, you prevent double-spending and fraud. The agent checks current balances before running `create_reward` to ensure you never overdraw your affiliate budget.

Real-Time Campaign Auditing

Query `get_campaign_report` and `list_campaigns` to analyze how your marketing channels perform. The OpenAI Agents SDK maps these tool outputs directly into agent memory, letting specialized agents collaborate on performance tuning. One agent pulls raw metrics while another runs verification. They pass structured data back and forth, ensuring your campaign reports match actual conversion logs before updating your internal dashboards.

OpenAI Agents SDK Promoter Verification

Track and onboard new partners using `create_promoter` and `list_promoters`. This MCP setup lets your agent inspect incoming partner applications and instantly create matching profiles in FirstPromoter. Using the OpenAI dashboard, you trace every API call made by `get_promoter_report` to verify that your agent makes decisions based on accurate performance history. This removes manual partner approvals without losing oversight.

Setup guide

Set up FirstPromoter 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 FirstPromoter tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate FirstPromoter 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="FirstPromoter Agent",
            instructions="You have access to FirstPromoter 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 FirstPromoter. 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 FirstPromoter MCP in OpenAI Agents SDK

Install the library via `pip install openai-agents`. Initialize `MCPServerStreamableHttp` using your Vinkius endpoint, set `cacheToolsList=True` for performance, and pass the server instance directly into your Agent constructor.

Yes, by exposing `create_reward` and `list_rewards` to your agent. The agent checks conversion history first, then triggers the reward tool, while OpenAI's guardrails prevent unauthorized execution limits.

The SDK auto-discovers tool schemas directly from the Vinkius MCP endpoint. Tools like `get_promoter` and `get_lead` are mapped into JSON schemas that OpenAI models natively understand, ensuring zero-config tool calls.

Every call to `list_conversions` or `get_payout_stats` is logged in the OpenAI developer dashboard. You see the exact inputs, tool outputs, and execution latency for every affiliate operation.

Your affiliate email lists and payout records are processed inside Vinkius's ephemeral V8 Isolate Sandbox. No data is stored permanently on Vinkius servers, and traffic is fully encrypted between OpenAI and FirstPromoter.

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