How to Use the Mailjet MCP in CrewAI

Q: How do I limit which Mailjet tools a specific CrewAI agent can access?

Use the MCPServerHTTP class from the crewai.mcp package to set up the MCP connection and apply a toolfilter. This restricts the agent to a subset of tools, like only allowing contact list viewing while blocking email sending.

Deploy specialized CrewAI agent teams to automate Mailjet campaigns, contacts, and delivery tracking.

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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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Run autonomous marketing operations with CrewAI

`list_marketing_campaigns` provides your specialized CrewAI agents with the raw data needed to analyze active marketing efforts. An analyst agent can pull recent campaign lists, while a separate researcher agent uses `get_campaign_details` to dive into specific send histories. They share this context in memory to build a complete performance picture. This collaborative approach removes human bottlenecking from marketing reviews. The crew evaluates which strategies are working and prepares recommendations without you having to run manual exports from a dashboard.

Manage contact list hygiene teams

`list_all_contacts` allows a list-manager agent to inspect your entire subscriber database. Working alongside a quality assurance agent, the crew identifies inactive or bouncing addresses. They then call `add_contact_to_list` to move those users to suppression segments. By dividing the labor, your crew handles large-scale cleanup operations safely. One agent flags the targets, another verifies the criteria, and a third executes the updates, keeping your deliverability scores high.

Automate transactional messaging feedback loops

`send_transactional_email` gives your customer-support crew the ability to dispatch immediate notifications. When a monitoring agent detects a system event, it instructs a messenger agent to send a targeted alert. The crew can then check `get_campaign_performance` to ensure the notification was delivered. This setup creates a closed-loop operations center. Your agents don't just send messages and hope for the best; they actively track delivery metrics and coordinate follow-up actions if a critical alert bounces.

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

You can pass the Vinkius MCP Server URL directly into the agent's `mcps` parameter during initialization. This automatically registers all eight Mailjet tools, making them available for the agent to invoke.

Yes, your agents share access to the configured tools through CrewAI's memory system. An analyst agent can read data with `get_campaign_performance` while a coordinator agent dispatches alerts via `send_transactional_email`.

Use the `MCPServerHTTP` class from the `crewai.mcp` package to set up the MCP connection and apply a `tool_filter`. This restricts the agent to a subset of tools, like only allowing contact list viewing while blocking email sending.

The server supports standard SSE and HTTP transports, which work out of the box with CrewAI's MCP client. You don't need to configure local subprocesses or manage node environments.

The MCP Server runs inside an ephemeral, zero-trust sandbox on Vinkius. Your contact lists and email addresses are processed in transit to Mailjet's API, ensuring no sensitive data is cached or stored on our hosting infrastructure.

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