How to Use the Moloco MCP in CrewAI

Q: Can a CrewAI agent pause a Moloco campaign autonomously?

Yes, you can give your Manager agent access to updatecampaignstatus. The agent will evaluate performance reports and change the status to paused if a campaign underperforms.

Q: Where is my Moloco tracking link data stored?

Your tracking links fetched via listtrackinglinks are processed entirely in memory inside secure, isolated MCP sandboxes. No persistent storage is used, keeping your attribution data safe from leaks.

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Connect Moloco MCP to CrewAI

Create your Vinkius account to connect Moloco 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 Moloco with CrewAI

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Multi-agent campaign analysis with CrewAI

The `list_campaigns` tool lets your researcher agent fetch active ad sets so your analyst agent can evaluate their performance metrics. This division of labor within CrewAI ensures your team does not miss micro-trends in your programmatic ad buying. This MCP Server setup enables autonomous collaboration. One agent pulls the campaign list, another analyzes the creative groups, and a third recommends status changes based on shared memory.

Autonomous creative asset auditing

The `list_creative_groups` tool allows your creative specialist agent to audit your active ad assets against current conversion data. Your CrewAI squad can identify which visual assets are driving actual purchases and which are wasting budget. Because agents share memory, the creative auditor can cross-reference findings with the media buyer agent. This prevents your team from running stale creatives that degrade your overall campaign quality score.

Real-time attribution link validation

The `list_tracking_links` tool exposes your current attribution setups so your technical monitor agent can verify link integrity. This keeps your tracking pipelines clean without manual QA sweeps. When a broken link is spotted, the monitor agent escalates the issue to your operations agent. This ensures your attribution loop remains unbroken, preserving your machine-learning model's training accuracy.

Setup guide

Set up Moloco 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 Moloco tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Moloco 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="Moloco Analyst",
        goal="Access and analyze Moloco data via MCP.",
        backstory="Expert analyst with direct Moloco access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Moloco 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 Moloco. 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 Moloco MCP in CrewAI

You assign specific tools to different agents. For example, your Researcher agent uses `list_campaigns` to find active ad sets, while your Analyst agent uses `get_analytics_report` to evaluate performance.

Yes, you can give your Manager agent access to `update_campaign_status`. The agent will evaluate performance reports and change the status to paused if a campaign underperforms.

Pass the Vinkius MCP Server URL directly into your CrewAI Agent's `mcps` array. The framework automatically discovers all ten tools, including `list_ad_groups` and `list_conversions`.

Yes, you can set up a hierarchical crew where a supervisor agent reviews performance reports before subordinates execute budget or status changes via this MCP Server.

Your tracking links fetched via `list_tracking_links` are processed entirely in memory inside secure, isolated MCP sandboxes. No persistent storage is used, keeping your attribution data safe from leaks.

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