How to Use the Adtraction MCP in OpenAI Agents SDK

Build production-ready affiliate marketing agents with OpenAI Agents SDK and Adtraction.

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Connect Adtraction MCP to OpenAI Agents SDK

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

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Audit Affiliate Transactions with OpenAI Agents SDK

Stop manually checking spreadsheets for affiliate payouts. Use this MCP Server to feed real-time performance data directly into your OpenAI agent workflows. The agent calls `list_transactions` to pull recent conversions, letting you track payouts and find missing commissions without writing custom API integrations. Because you are using the OpenAI Agents SDK, you can set up guardrails to verify transaction amounts before passing them to downstream finance agents. If an affiliate program flags a discrepancy, the agent uses `get_stats_by_program` to compare historical performance and identify anomalies instantly.

Automate Program Discovery and Channel Auditing

Finding profitable partnerships shouldn't take all afternoon. Your agent can run `list_programs` to scan available affiliate campaigns and match them against your active media channels. It checks your approved channels via `list_channels` to make sure you only apply to programs where you have a verified audience. Once a potential match is found, the agent uses `get_program_details` to pull commission rates and terms. This setup works perfectly with agent handoffs, allowing a discovery agent to find high-yield programs and hand the data to a negotiation agent.

Safe Production Deployments for Marketing Agents

Running autonomous agents in production requires tight guardrails, not hopes and dreams. This integration lets you trace every single tool call back to the OpenAI developer dashboard. When the agent pulls performance statistics using `get_stats_by_program`, you see exactly how the tool executed and what data came back. Performance matters when you scale. By setting the cache option in your SDK configuration, your agent skips redundant MCP schema lookups when calling `list_channels`. This keeps response times low and prevents your production marketing loops from lagging.

Setup guide

Set up Adtraction 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 Adtraction tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Adtraction 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="Adtraction Agent",
            instructions="You have access to Adtraction tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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 Adtraction. 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 Adtraction MCP in OpenAI Agents SDK

Install the SDK first with pip install openai-agents. Set up the MCP server using MCPServerStreamableHttp pointing to your Vinkius endpoint, then pass it into your Agent constructor.

Yes. The SDK manages concurrent tool execution smoothly. If your agent needs to run list_programs and list_transactions at the same time, the underlying runner handles both async requests without blocking.

The SDK passes rate limit errors back through the tool execution trace. You can write custom guardrails to catch these errors or implement backoff strategies directly in your Python agent logic.

Yes. You can filter the tools exposed to the agent during initialization. If you only want your agent to read data, expose list_programs and hide transaction tools.

Your API tokens and transaction data are isolated in Vinkius's secure V8 sandboxes. The SDK only transmits requested affiliate payouts and channel details over encrypted HTTPS, ensuring your private revenue statistics never leak.

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