How to Use the AdRoll MCP in CrewAI

Q: Can I restrict which AdRoll tools a specific CrewAI agent can use?

Yes, by using MCPServerHTTP from the crewai.mcp package, you can apply a tool filter. This prevents your copywriter agent from accessing budget tools while letting your analyst agent run reports.

Deploy specialized AI crews to analyze and manage your AdRoll marketing campaigns autonomously with CrewAI.

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Connect AdRoll MCP to CrewAI

Create your Vinkius account to connect AdRoll to CrewAI 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 AdRoll with CrewAI

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Assign specialized agents to audit your ads

The `list_ads` tool gathers all creative assets and their statuses for a specific advertisable profile. In a CrewAI setup, a specialized auditor agent can use this tool to review your ad creatives while another agent cross-references them with performance data. This multi-agent approach lets you run deep audits without manual intervention. One agent flags low-performing creatives, while another drafts recommendations for copy improvements based on active segments.

Coordinate multi-agent tasks with this MCP Server

The `list_adgroups` tool returns the structural breakdown of your campaigns, giving this MCP Server the data needed to map your marketing hierarchy. CrewAI divides the work of analyzing these ad groups among distinct, role-based agents. One agent can focus entirely on budget allocation across ad groups, while a supervisor agent monitors overall performance. They share memory and context to make cohesive decisions.

Monitor audience segments automatically

The `list_segments` tool displays your current retargeting audiences so your crew can evaluate cohort sizes and activity. Your CrewAI agents can compare these segments against active campaigns to find gaps in your retargeting coverage. By automating this check, you ensure that high-value visitor pools are never left without active campaigns. The agents work in the background, flagging unaddressed segments before they go cold.

Setup guide

Set up AdRoll MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke AdRoll tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="AdRoll Analyst",
    goal="Access and analyze AdRoll data via MCP.",
    backstory="Expert analyst with direct AdRoll access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent AdRoll transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="AdRoll Analyst",
        goal="Access and analyze AdRoll data via MCP.",
        backstory="Expert analyst with direct AdRoll access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent AdRoll transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 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 CrewAI

You can pass the Vinkius HTTP URL directly into the agent's `mcps` parameter during initialization. This instantly exposes tools like `get_campaign` to that specific agent.

Yes, by using `MCPServerHTTP` from the `crewai.mcp` package, you can apply a tool filter. This prevents your copywriter agent from accessing budget tools while letting your analyst agent run reports.

CrewAI agents use a shared memory system. When one agent calls `get_report`, the resulting performance data is added to the shared context, allowing subsequent agents to analyze it.

The connection supports stdio, SSE, and Streamable HTTP. For most cloud deployments, the Streamable HTTP transport via Vinkius is the easiest to configure.

No, it is not. All tool executions occur inside a secure, zero-trust V8 isolate sandbox. Your audience segments, budget details, and campaign reports are never stored or cached by Vinkius.

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