How to Use the Maileon MCP in CrewAI

Q: Can CrewAI agents collaborate on Maileon campaigns?

They can. One agent can query getmailingdetails while another analyzes the content. They share memory to make informed decisions about when to trigger a dispatch.

Q: How do I filter tools for a specific CrewAI agent?

Use the toolfilter in your agent definition. You can restrict an agent so it only has access to getmailingstatistics while another handles createnewcontact.

Deploy a crew of autonomous agents to manage your Maileon marketing operations with the Maileon MCP Server.

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Connect Maileon MCP to CrewAI

Create your Vinkius account to connect Maileon 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 Maileon with CrewAI

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Autonomous contact research with CrewAI

Assign a researcher agent to use `list_account_contacts` to identify inactive users. The agent collects the data and passes it to the next team member. Your agents can then call `delete_account_contact` to clean your list. This keeps your database healthy without a human touching the console.

Multi-agent mailing oversight in CrewAI

Have a monitor agent use `list_email_mailings` to track campaign progress. It checks for drafts and updates the team on status changes. When a mailing is ready, a moderator agent calls `dispatch_email_mailing`. This hierarchical approach ensures only approved campaigns get sent.

Performance reporting for CrewAI teams

Task a reporting agent with calling `get_mailing_statistics` after every campaign. It aggregates the findings into a report for your team. By checking `list_unsubscription_events`, the crew stays updated on audience sentiment. This creates a feedback loop that informs your future strategy.

Setup guide

Set up Maileon 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 Maileon tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

They can. One agent can query `get_mailing_details` while another analyzes the content. They share memory to make informed decisions about when to trigger a dispatch.

Use the `tool_filter` in your agent definition. You can restrict an agent so it only has access to `get_mailing_statistics` while another handles `create_new_contact`.

Yes, you can pass the URL directly to the agents. This allows your CrewAI team to interact with your marketing data immediately upon deployment.

Set up a monitor agent to log every tool call. You can verify the output of `dispatch_email_mailing` and `get_mailing_statistics` within your session logs.

The server uses ephemeral, zero-trust infrastructure. Your contact data, including email addresses, is never cached between sessions and is only available to the agents you explicitly authorize.

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