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

Q: How do I register the MJML (Email Markup) MCP Server with AutoGen?

Use mcpservertools with the Vinkius HTTP URL. Pass the generated tools list directly into your AssistantAgent constructor to give your agents rendering capabilities.

Let your AutoGen agents debate layout choices and compile responsive HTML using MJML.

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Connect MJML (Email Markup) MCP to AutoGen

Create your Vinkius account to connect MJML (Email Markup) to AutoGen 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 AutoGen

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Collaborative email design in AutoGen

Set up a multi-agent debate to design your templates. One agent writes the copy, another structures the layout, and a third calls `render_mjml` to compile the final HTML using this MCP tool. By separating concerns, you get better results. The layout agent can tweak the template based on feedback from the copywriter agent before rendering the final version.

Automated layout validation using this MCP Server

Let your agents review the compiled HTML. If the rendering tool returns syntax issues, the developer agent and the QA agent can negotiate the fix. The `render_mjml` tool acts as the ultimate truth. If the markup compiles without errors, the agents agree and proceed; if not, they keep editing.

Streamable HTTP setups for AutoGen agents

Connect your agents to the MCP server using the streamable HTTP transport. This ensures stable connections even during complex, multi-agent conversations. The `McpToolAdapter` handles the schema conversion behind the scenes. Your agents can call the rendering tool without worrying about protocol details.

Setup guide

Set up MJML (Email Markup) MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes MJML (Email Markup) tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="MJML (Email Markup)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent MJML (Email Markup) data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="MJML (Email Markup)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent MJML (Email Markup) data")
    print(result.messages[-1].content)

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 AutoGen

Use mcp_server_tools with the Vinkius HTTP URL. Pass the generated tools list directly into your AssistantAgent constructor to give your agents rendering capabilities.

Yes, the server handles concurrent requests. Different agents in your group chat can call render_mjml simultaneously to test different layout variations.

The tool returns detailed compilation errors. Your QA agent can analyze these errors, explain the issue to the designer agent, and request a corrected template.

No. The McpToolAdapter automatically translates the server's schema into the format AutoGen expects, making the integration straightforward.

Your raw markup and compiled HTML are processed in secure, isolated V8 sandboxes. No template data is logged or stored, keeping your enterprise communications secure.

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