How to Use the Maropost MCP in CrewAI

Q: How do I assign Maropost tools to a specific CrewAI agent?

Pass the Maropost MCP server URL directly into the mcps parameter of your CrewAI agent. This gives that specific CrewAI agent access to Maropost tools like createcontact and getcontact.

Q: Can CrewAI agents collaborate on Maropost campaign reporting?

Yes, a CrewAI research agent can run Maropost listreports to gather metrics, and a CrewAI analyst agent can run getreportdetails to write a summary of your Maropost performance.

Q: How do I limit which Maropost tools a CrewAI agent can use?

Use the MCPServerHTTP class from crewai.mcp to define a toolfilter that exposes only safe Maropost tools to your CrewAI agents.

Deploy specialized teams of CrewAI agents to manage your Maropost email campaigns and subscriber lists.

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Connect Maropost MCP to CrewAI

Create your Vinkius account to connect Maropost 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 Maropost with CrewAI

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CrewAI multi-agent campaign monitoring

The Maropost `list_campaigns` tool allows your CrewAI research agent to scan all active email drafts and scheduled broadcasts. This CrewAI agent can then hand over the Maropost campaign IDs to an analyst agent for performance reviews. Because CrewAI supports role-based collaboration, your agents work together to audit your Maropost MCP Server data.

Autonomous Maropost segmentation via CrewAI

The Maropost `list_contacts_in_list` tool gives your CrewAI database agent direct access to specific subscriber groups. The CrewAI agent can analyze Maropost signup dates and engagement history to identify inactive users. Once identified, the CrewAI agent passes the inactive emails to a writer agent, which drafts Maropost re-engagement sequences.

Multi-step Maropost funnel optimization via CrewAI

The Maropost `list_workflows` tool lets your CrewAI strategy crew map out active marketing funnels. Your CrewAI agents inspect the Maropost steps to find bottlenecks where subscribers are dropping off. By combining this Maropost MCP tool with CrewAI's hierarchical execution, a supervisor agent can coordinate updates.

Setup guide

Set up Maropost 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 Maropost tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the Maropost MCP server URL directly into the `mcps` parameter of your CrewAI agent. This gives that specific CrewAI agent access to Maropost tools like `create_contact` and `get_contact`.

Yes, a CrewAI research agent can run Maropost `list_reports` to gather metrics, and a CrewAI analyst agent can run `get_report_details` to write a summary of your Maropost performance.

Yes, in a hierarchical CrewAI setup, the manager agent delegates Maropost tasks to specialized sub-agents, ensuring Maropost tools like `create_contact` are only called when necessary.

Use the `MCPServerHTTP` class from `crewai.mcp` to define a `tool_filter` that exposes only safe Maropost tools to your CrewAI agents.

Yes, your Maropost subscriber email addresses and contact records are handled over TLS-encrypted connections managed by CrewAI. The Maropost MCP Server runs in a zero-trust environment, ensuring no customer data is cached or stored by CrewAI.

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