How to Use the Campaign Monitor MCP in CrewAI

Deploy a crew of AI agents to manage your Campaign Monitor account. Automate marketing tasks from analysis to execution with CrewAI.

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Connect Campaign Monitor MCP to CrewAI

Create your Vinkius account to connect Campaign Monitor 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 Campaign Monitor with CrewAI

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Assemble Your Automated Marketing Team

With CrewAI, you create a team of agents with specific jobs. You can have a 'Reporting Analyst' agent that is only allowed to use the `get_campaign_performance` and `list_campaigns` tools. Its job is to watch the numbers. At the same time, a 'List Manager' agent can have access to `add_subscriber` and `list_subscribers`. This agent focuses solely on keeping lists clean and adding new contacts. It's true task delegation for your AI workforce, all using one MCP Server.

Build an Autonomous Watchdog Crew

Set up a crew that monitors your Campaign Monitor account around the clock. One agent's role is to run `list_campaigns` periodically. When it spots a new one, it passes the campaign ID to a specialized 'Analyst' agent. The Analyst agent then uses `get_campaign_performance` to track its key metrics. If an open rate suddenly drops, it can delegate a task to a 'Notifier' agent to alert your marketing team. This is hands-off, autonomous operation.

Orchestrate Content and Template Strategy

Connect your content strategy to Campaign Monitor. A 'Researcher' agent can find trending topics, then pass them to a 'Curator' agent. The Curator uses `list_email_templates` to see which Campaign Monitor templates are a good fit. Because the crew shares its findings, the Curator knows what the Researcher discovered. It can then assign a 'Writer' agent the task of drafting the email copy for the chosen template. This MCP connection lets your agents turn abstract ideas into real marketing actions.

Setup guide

Set up Campaign Monitor 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 Campaign Monitor tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You simply pass your Vinkius MCP URL when defining your agent in CrewAI. The framework handles the connection and makes all the Campaign Monitor tools, like `list_campaigns`, available for the agents to use in their tasks.

Yes. When you define an agent in CrewAI, you can specify exactly which tools it's allowed to use. This lets you create a 'read-only' analyst agent and a 'write-access' list manager agent from the same Campaign Monitor MCP server.

They can manage the data around it. For instance, one agent can `list_contact_lists` to choose an audience, another can `list_email_templates` to pick a design, and a third can monitor results with `get_campaign_performance` once it's sent.

CrewAI manages a shared context between agents. When one agent discovers something, like a poorly performing campaign, it can pass that information to the next agent in the sequence, who can then take action.

Yes. Each agent's tool call is routed through a Vinkius sandbox that isolates the operation. The agent gets temporary access to the specific data it requested—like a list of subscribers or campaign stats—and that access vanishes the moment the task is complete. No data persists.

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