How to Use the AdsWizz MCP in OpenAI Agents SDK

Q: How does the OpenAI Agents SDK handle large AdsWizz zone lists?

Your agent uses listzones to fetch AdsWizz podcast and stream inventory. If the AdsWizz list is huge, the OpenAI Agents SDK handles the data stream efficiently, allowing your OpenAI model to process the inventory context without hitting token limits.

Run safe, production-grade AdsWizz audio ad campaigns by connecting to your OpenAI Agents SDK.

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Connect AdsWizz MCP to OpenAI Agents SDK

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

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Guarded AdsWizz campaign discovery with an MCP Server

The `list_campaigns` and `get_campaign` tools let your OpenAI agents pull AdsWizz campaign data and inspect details within your defined safety boundaries. If an agent tries to pull a massive AdsWizz campaign list, the OpenAI Agents SDK checks the request first. You can set up handoffs between an OpenAI reporting agent that runs `get_audio_performance` and a strategy agent that plans the next audio buy.

Trace audio performance metrics directly in your dashboard

The `get_audio_performance` tool pulls raw AdsWizz metrics for specific dates directly into your OpenAI agent workflow. Because this is an MCP Server, the AdsWizz tool discovery happens automatically during the OpenAI stream setup, saving you from writing boilerplate API wrappers. Every single AdsWizz metric pull is logged in your OpenAI tracing dashboard. You see exactly how the OpenAI agent filtered the audio performance data, making it easy to debug weird model decisions or bad AdsWizz date ranges.

Dynamic podcast and stream inventory mapping

The `list_zones` tool maps out active podcasts and audio streams instantly to match AdsWizz inventory with your OpenAI campaign goals. Instant registration happens directly inside the OpenAI Agents SDK. You run the OpenAI agent, it scans the available AdsWizz audio zones, and it updates your media planning document without you writing a single line of integration code.

Setup guide

Set up AdsWizz 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 AdsWizz tools at runtime.
3

Create your Agent

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

Run the agent

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

Install openai-agents first. Initialize MCPServerStreamableHttp with the Vinkius AdsWizz URL, then pass it to your OpenAI Agents SDK constructor in the mcp_servers list. Set cacheToolsList=True to speed up AdsWizz tool discovery.

Yes. You can control AdsWizz tool access at the OpenAI agent level or use the SDK's built-in guardrails to intercept calls. This prevents the OpenAI agent from running get_campaign or get_audio_performance unless specific criteria are met.

Your agent uses list_zones to fetch AdsWizz podcast and stream inventory. If the AdsWizz list is huge, the OpenAI Agents SDK handles the data stream efficiently, allowing your OpenAI model to process the inventory context without hitting token limits.

No, because the MCP Server automatically exposes the schemas for get_campaign and list_campaigns directly to your OpenAI agent. Your SDK reads these schemas instantly and knows exactly what arguments to pass.

All AdsWizz requests run through Vinkius's zero-trust V8 sandbox, which isolates your OpenAI execution environment. Your raw AdsWizz audio ad metrics and campaign configurations are never stored or used for training OpenAI models, keeping your marketing spend confidential.

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