How to Use the Moloco MCP in OpenAI Agents SDK

Q: Can my OpenAI Agents SDK agent handle Moloco account balance checks?

Yes. Your agent calls getaccountbalance to verify funds before executing status updates. This prevents unexpected interruptions in your ad delivery.

Q: Does this MCP server expose my Moloco conversion data to the OpenAI Agents SDK?

Yes, via listconversions. This data is sensitive and only accessible by your agent for performance analysis purposes.

Direct control over your Moloco ad spend within the OpenAI Agents SDK. Stop guessing and let your agent manage your campaigns.

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Connect Moloco MCP to OpenAI Agents SDK

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

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Real-time performance monitoring

Your agent pulls raw data from `get_analytics_report` to track exactly where your budget goes. It identifies underperforming segments before they bleed your account dry. Stop relying on stale dashboards. By automating the data retrieval, your agent maintains a live pulse on campaign health without manual oversight.

Automated campaign status control

Trigger `update_campaign_status` directly from your agent logic to toggle campaigns instantly. You set the threshold, the agent executes the change. This keeps your account state in sync with your business rules. No more waiting on a human to pause a burning campaign during off-hours.

Deep campaign introspection

Your agent uses `list_campaigns` and `get_campaign` to map out your entire account structure. It understands the hierarchy of your ads at a granular level. This visibility allows for targeted optimizations. Your agent can isolate specific ad groups through `list_ad_groups` to ensure every dollar is accounted for.

Setup guide

Set up Moloco 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 Moloco tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

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Common questions about Moloco MCP in OpenAI Agents SDK

The server exposes Moloco tools directly to your agent. Your agent uses these tools to read performance data and issue status updates based on your defined logic.

Yes. Your agent calls `get_account_balance` to verify funds before executing status updates. This prevents unexpected interruptions in your ad delivery.

The server handles communication with Moloco. If you hit rate limits, the agent receives the error and can retry or alert you based on your agent's error handling.

Your Moloco credentials and API keys stay within your environment. The MCP server acts only as a bridge for the specific data you request.

Yes, via `list_conversions`. This data is sensitive and only accessible by your agent for performance analysis purposes.

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