How to Use the Ad4Game MCP in OpenAI Agents SDK

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Connect Ad4Game MCP to OpenAI Agents SDK

Create your Vinkius account to connect Ad4Game 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 Ad4Game with OpenAI Agents SDK

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Audit ad inventory with OpenAI Agents SDK

Your agent needs to know what campaigns are actually running right now. Giving it access to `list_offers` pulls the live catalog of available game ads directly into your execution context. Tracing matters when money is on the line. Every time your system queries this MCP Server, the OpenAI dashboard logs the exact payload, letting you debug why an agent picked a specific campaign.

Inspect specific game offers

Broad lists only get you so far. When a specialized agent takes over, it calls `get_offer_details` to grab the payout rates, target geos, and platform requirements for a single campaign. Built-in guardrails prevent bad API calls before they happen. If the agent tries to request details for a malformed ID, the SDK catches the error locally.

Extract marketing creatives safely

Banners and video links change constantly in game marketing. The `get_creatives` tool lets your agent pull the exact active assets for any approved offer. You can even route this task to a dedicated asset-fetching agent. Handoffs work perfectly with MCP tools, keeping your main orchestrator focused on strategy while a sub-agent handles the actual downloads.

Setup guide

Set up Ad4Game 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 Ad4Game tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Ad4Game tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Ad4Game 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="Ad4Game Agent",
            instructions="You have access to Ad4Game 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 Ad4Game. 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 Ad4Game MCP in OpenAI Agents SDK

Install the package via pip. Then initialize your MCP Server connection using the streamable HTTP class with your endpoint URL and pass it to your Agent constructor.

Yes. Set the cache flag to true during setup. This stops the agent from refetching the schema on every single run.

You get three core functions. The agent can list offers, get specific details, and pull creatives directly.

You define strict execution rules in Python. The SDK validates the agent's intent against those rules before it actually hits the external API.

Vinkius runs this connection inside an isolated V8 sandbox. The server only processes your offer IDs and creative URLs for the exact millisecond the request takes, then destroys the memory state entirely.

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