How to Use the Mailingwork MCP in OpenAI Agents SDK

Directly manage subscriber data and trigger campaigns from your OpenAI Agents SDK workflow with this MCP Server.

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Connect Mailingwork MCP to OpenAI Agents SDK

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

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Automate subscriber lifecycle management

Your agent can now handle your mailing lists without manual intervention. Use `create_subscriber` and `update_subscriber` to keep your CRM in sync with your live user data. The system validates every request, ensuring that your agent maintains accurate records. You'll see exactly what changed in your logs, providing a clear audit trail for every addition.

Execute email campaigns via OpenAI Agents SDK

Trigger specific communications directly from your agent's reasoning loop. Calling `send_transactional_email` allows for immediate feedback to your users based on their recent activity. You can also fire complex sequences using `trigger_automation`. This keeps your outreach logic inside your agent where it belongs, rather than scattered across disconnected services.

Query campaign performance in real-time

Stop guessing which mailings are driving engagement. Your agent can call `list_mailings` to retrieve current stats, allowing it to adjust its strategy based on actual open and click rates. Use `get_mailing` to drill down into specific campaign details. This provides the context your agent needs to make informed decisions about your next outreach attempt.

Setup guide

Set up Mailingwork 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 Mailingwork tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Mailingwork 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="Mailingwork Agent",
            instructions="You have access to Mailingwork 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 Mailingwork. 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 Mailingwork MCP in OpenAI Agents SDK

Install the necessary dependencies and initialize the connection using the provided endpoint URL. Your agent will auto-discover the tools once you pass the server configuration to the constructor.

Yes, but watch your API limits. Since your agent can trigger many operations at once, we recommend setting up caching to keep performance high and avoid unnecessary calls.

It handles individual operations well. For bulk jobs, loop through your data set using the `create_subscriber` tool within your agent's logic.

All traffic is handled through a secure, ephemeral sandbox. We only process the specific subscriber email addresses and metadata required to execute your requested tools.

You can view the full history in your OpenAI dashboard. Every action taken by the MCP server is traced, so you can see exactly which tool was called and the data passed.

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