How to Use the MailWizz MCP in OpenAI Agents SDK

Q: How do I connect MailWizz to the OpenAI Agents SDK?

Install openai-agents via pip. Create an MCPServerStreamableHttp instance pointing to your MailWizz MCP Server URL and pass it to your agent constructor. Set cacheToolsList=True to speed up tool discovery.

Q: Can the OpenAI Agents SDK pause a MailWizz campaign automatically?

Yes. The agent uses the pauseemailcampaign tool when it detects anomalies in your send metrics. You define the guardrails, and the agent executes the pause.

Q: Does the MailWizz integration support OpenAI Agents SDK handoffs?

It does. One agent can fetch list data using listlistsubscribers and hand that context over to a specialized copywriter agent. The MCP tools are available across your entire agent network.

Q: How do I update existing contacts?

Your agent calls the updatelistsubscriber tool with the list UID and the new data fields. It handles preference changes without duplicating records.

Connect the MailWizz MCP Server to your OpenAI Agents SDK setup and let your agents manage subscribers with built-in guardrails.

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Connect MailWizz MCP to OpenAI Agents SDK

Create your Vinkius account to connect MailWizz to OpenAI Agents SDK 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 MailWizz with OpenAI Agents SDK

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OpenAI Agents SDK campaign control

The `list_email_campaigns` tool pulls your active marketing blasts directly into your agent's context. Your agent reads the performance data, evaluates open rates against your baseline, and decides if an intervention is necessary. If a campaign is tanking, the agent triggers `pause_email_campaign` immediately. You get full tracing in the OpenAI dashboard so you know exactly why the agent pulled the plug on your send.

Subscriber list mutations

The `add_subscriber_to_list` tool handles new opt-ins by pushing them straight into your MailWizz database. You hand the agent a raw CSV or a parsed webhook payload, and it loops through the records. It uses `update_list_subscriber` for existing contacts who change their preferences. When someone hard bounces or requests deletion, the agent fires `delete_list_subscriber` to keep your list hygiene strictly compliant.

Multi-agent list routing

The `list_subscriber_collections` tool maps out your entire list architecture so specialized agents know where to route leads. A triage agent grabs the list IDs and hands off specific segments to a marketing agent. From there, the marketing agent runs `get_list_details` to check the default From name and reply-to settings. It's a clean handoff that keeps your automated setup modular and safe.

Setup guide

Set up MailWizz MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all MailWizz tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives MailWizz tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate MailWizz tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="MailWizz Agent",
            instructions="You have access to MailWizz tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MailWizz. 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 MailWizz MCP in OpenAI Agents SDK

Install `openai-agents` via pip. Create an `MCPServerStreamableHttp` instance pointing to your MailWizz MCP Server URL and pass it to your agent constructor. Set `cacheToolsList=True` to speed up tool discovery.

Yes. The agent uses the `pause_email_campaign` tool when it detects anomalies in your send metrics. You define the guardrails, and the agent executes the pause.

It does. One agent can fetch list data using `list_list_subscribers` and hand that context over to a specialized copywriter agent. The MCP tools are available across your entire agent network.

Your agent calls the `update_list_subscriber` tool with the list UID and the new data fields. It handles preference changes without duplicating records.

The agent only accesses the exact subscriber emails and list UIDs you authorize through the MCP connection. Vinkius runs the server in an ephemeral V8 Isolate, meaning your customer data passes through memory and vanishes the second the request completes.

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