How to Use the MJML (Email Markup) MCP in CrewAI

Deploy specialized agents in CrewAI to manage MJML (Email Markup) rendering for autonomous, responsive email campaigns.

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Connect MJML (Email Markup) MCP to CrewAI

Create your Vinkius account to connect MJML (Email Markup) 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 MJML (Email Markup) with CrewAI

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Collaborative email design with CrewAI

Assign a dedicated agent to draft the MJML and another to execute the `render_mjml` tool. This separation ensures one agent focuses on content quality while the other ensures the code is valid. The tool output confirms if the email meets responsive standards. If the render fails, the agent crew knows exactly which step to fix.

Autonomous email marketing crews

Build a crew that creates, renders, and tests email templates. The agent uses `render_mjml` to generate the HTML, while a monitor agent watches for rendering errors. It removes the need for manual design work. The crew handles the entire cycle from a simple prompt to a final, responsive HTML file.

Standardized email output for crews

Enforce a strict template style across your organization by giving your CrewAI agents access to this MCP Server. They all use `render_mjml` to ensure every email looks identical. It prevents design drift across different campaigns. You get consistent results regardless of which agent generated the original markup.

Setup guide

Set up MJML (Email Markup) 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 MJML (Email Markup) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent MJML (Email Markup) 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 MJML. 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 MJML (Email Markup) MCP in CrewAI

Add the server URL to your agent's config. The agents then have direct access to the `render_mjml` tool for their tasks.

Yes, if the tool returns an error, the agent receives the message and can rewrite the markup to fix the problem.

Yes, the server handles multiple requests simultaneously. Your crew can render different templates at the same time without conflicts.

The server operates in an ephemeral sandbox. It only sees the markup you send and discards everything once the job is done.

It is built for that. The server is isolated and handles rapid rendering requests without leaking memory or data.

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