How to Use the AdRoll MCP in OpenAI Agents SDK
Build production-ready marketing agents that run AdRoll campaigns. The OpenAI Agents SDK gives you the guardrails to deploy with confidence.
Works with every AI agent you already use
…and any MCP-compatible client
Connect AdRoll MCP to OpenAI Agents SDK
Create your Vinkius account to connect AdRoll 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.
Get Campaign and Ad Performance
The `get_report` tool gives your agent raw performance data directly from AdRoll. You can then feed this data into other specialized agents for analysis or visualization, using the SDK's handoff features. It's not just about getting numbers; it's about building a pipeline. Your agent can also pull specific campaign details with `get_campaign` or see every ad group with `list_adgroups`. Since the OpenAI Agents SDK traces every action, you'll have a full audit log of what data was requested and when, right in your dashboard.
Manage AdRoll Campaigns with the OpenAI Agents SDK
This MCP Server exposes core AdRoll objects for your agent to work with. Use `list_advertisables` to find the right profile, then `list_campaigns` to see what's running. Your agent can check the status of a campaign before deciding on its next action. The built-in guardrails are key here. You can configure rules that prevent an agent from, say, pulling a report on the wrong advertisable. The agent's proposed action is validated *before* it runs, which is critical for production systems touching live ad accounts.
Explore Audiences and Ads
Let your agent discover audience segments using the `list_segments` tool. This is perfect for building automated reporting agents that check which audiences are performing best. You can also get a full inventory of creative assets with `list_ads`. Combine this with performance data from `get_report` to create agents that suggest which ads to pause or promote, all within the safety of the OpenAI Agents SDK framework.
Set up AdRoll MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all AdRoll tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives AdRoll tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate AdRoll tools and returns structured results. Copy the full example on the right to get started.
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="AdRoll Agent",
instructions="You have access to AdRoll tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AdRoll. 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 AdRoll MCP in OpenAI Agents SDK
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