How to Use the Campaign Monitor MCP in CrewAI

Q: How do I add Campaign Monitor to a CrewAI agent?

Install crewaitools and pass the Vinkius endpoint URL directly into the mcps array on your Agent definition. The framework handles the connection.

Q: How do I restrict Campaign Monitor access in CrewAI?

Import MCPServerHTTP from crewai.mcp and use a toolfilter. This lets you expose read-only tools to certain agents while keeping write access locked down.

Deploy an autonomous marketing crew by connecting Campaign Monitor to 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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Let agents analyze Campaign Monitor stats

Analyzing campaign stats autonomously means you can stop pulling reports manually. Assign one CrewAI agent to act as a marketing analyst. It runs `list_sent_campaigns` to find recent blasts, then pulls the exact numbers using `get_campaign_analytics`. That agent drops the findings into shared memory. A second agent, acting as the strategist, reads those metrics and drafts recommendations for the next send. They work together without you clicking a single button.

Delegate subscriber routing to your crew

Delegating subscriber routing to an agent frees you from constant manual updates. Hand that off to a data-entry agent equipped with `add_subscriber`. It monitors incoming leads and drops them into the correct buckets automatically. It does not guess where people belong. The agent queries `list_clients` and `list_subscriber_lists` to map out your account structure first. It makes informed decisions based on the actual state of your database.

Run health checks via this MCP Server

Running automated list health checks prevents deliverability issues from ruining your campaigns. Set up a monitor agent that periodically runs `get_list_statistics` to watch for spikes in unsubscribes or bounces. If the numbers look dangerous, the monitor alerts a moderator agent. That second agent pulls `get_subscriber_details` for the flagged accounts and prepares a cleanup report. The whole operation runs sequentially in the background.

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

Install `crewai[tools]` and pass the Vinkius endpoint URL directly into the `mcps` array on your Agent definition. The framework handles the connection.

Yes. You can give the analytics tools to your researcher agent and the subscriber management tools to your operations agent. They collaborate using shared memory.

Import `MCPServerHTTP` from `crewai.mcp` and use a `tool_filter`. This lets you expose read-only tools to certain agents while keeping write access locked down.

You can set up hierarchical execution where a manager agent delegates monitoring tasks to worker agents. They will poll your lists and report back autonomously.

Vinkius secures the connection with an ephemeral sandbox. When your agents read subscriber profiles or list statistics, that data routes through a temporary environment that leaves no trace.

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