How to Use the Mailjet MCP in CrewAI

Q: How do specialized CrewAI agents collaborate on Mailjet campaigns?

One agent pulls metrics with getcampaignperformance while another uses sendtemplateemail to dispatch updates. They share state in memory to dynamically adjust copy.

Q: Can CrewAI agents manage my Mailjet contact groups?

Yes, you can assign an agent to monitor list health using listcontactgroups. The agent uses subscribetolist to move active users into targeted segments automatically.

Q: How do I limit which Mailjet tools my CrewAI agents can access on the MCP Server?

Use the toolfilter option in the MCPServerHTTP setup. This lets you restrict your agents to reading data with listallcontacts while blocking sending capabilities.

Q: How does CrewAI protect my Mailjet campaign analytics?

Your performance metrics from getcampaignperformance stay within your local runtime. The managed MCP connection uses ephemeral execution loops, ensuring no campaign data is stored on external disks.

Deploy a crew of specialized CrewAI agents to write, test, and analyze your Mailjet email campaigns autonomously.

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Connect Mailjet MCP to CrewAI

Create your Vinkius account to connect Mailjet 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 Mailjet with CrewAI

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Perplexity

Autonomous Campaign Optimization

`get_campaign_performance` gives your analyst agent the raw data needed to measure email performance over time. This MCP Server gives your analyst agent the raw data needed to make programmatic routing decisions without human overhead. This multi-agent setup uses `list_sent_campaigns` to study what worked in previous runs. The agents collaborate in shared memory, polishing the copy before triggering the next dispatch.

Domain and Sender Monitoring

`list_sender_domains` lets a specialized security agent verify your sending infrastructure is fully authenticated. If a domain shows configuration errors, the CrewAI agent flags the issue and halts outbound queues. By regularly polling this endpoint, your crew prevents deliverability drops before they affect active campaigns. The agents manage this technical oversight autonomously, keeping your sender score high.

Multi-Agent CrewAI Email Operations

`send_template_email` is executed only after your editor agent approves the generated variables and layout. The CrewAI framework ensures that no email goes out without going through the defined hierarchical approval chain. If the layout requires structural changes, the editor agent pulls the original layout using `get_template_details` to fix placeholders. Your crew handles the entire production line from draft to delivery.

Setup guide

Set up Mailjet 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 Mailjet tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

One agent pulls metrics with `get_campaign_performance` while another uses `send_template_email` to dispatch updates. They share state in memory to dynamically adjust copy.

Yes, you can assign an agent to monitor list health using `list_contact_groups`. The agent uses `subscribe_to_list` to move active users into targeted segments automatically.

Use the `tool_filter` option in the `MCPServerHTTP` setup. This lets you restrict your agents to reading data with `list_all_contacts` while blocking sending capabilities.

Yes. Your copywriter agent drafts the message body and passes it to the sender agent, which calls `send_plain_email` to deliver the message.

Your performance metrics from `get_campaign_performance` stay within your local runtime. The managed MCP connection uses ephemeral execution loops, ensuring no campaign data is stored on external disks.

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