How to Use the Moosend (Email Marketing & Automation) MCP in OpenAI Agents SDK

Q: How do I handle rate limits when connecting Moosend (Email Marketing & Automation) to the OpenAI Agents SDK?

Set cacheToolsList=True during your MCP Server initialization to prevent unnecessary tool discovery calls. For high-volume operations with addsubscriber, use a task queue to space out requests and avoid hitting the Moosend API threshold.

Q: Can the OpenAI Agents SDK automatically draft and send newsletters via Moosend (Email Marketing & Automation)?

Yes, your agent can call createcampaign to generate the draft and then trigger sendcampaign to dispatch it. We recommend setting up a manual approval step in your Python code before the send tool runs to review the generated content.

Q: How do I initialize the Moosend (Email Marketing & Automation) MCP Server using the OpenAI Agents SDK?

Install the package using pip install openai-agents first. Then, configure MCPServerStreamableHttp with your Vinkius endpoint URL and pass it to your Agent constructor inside an async context manager.

Q: What happens if an agent fails during a bulk subscriber import?

The SDK tracing dashboard logs the exact tool call for addsubscriber that failed. You can inspect the payload, fix any formatting issues, and re-run the failed step without corrupting the rest of your mailing list.

Build production-grade agents that control your Moosend email campaigns directly through the OpenAI Agents SDK.

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Connect Moosend (Email Marketing & Automation) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Moosend (Email Marketing & Automation) 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 Moosend (Email Marketing & Automation) with OpenAI Agents SDK

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Programmatic subscriber management

The `add_subscriber` tool registers new leads into your Moosend lists instantly from your Python code. Your production agents execute this action inside a secure runtime, validating each email address against your custom schemas before hitting the endpoint. When users opt out, the `remove_subscriber` tool updates your lists immediately to prevent compliance violations. The OpenAI Agents SDK tracks these list updates in real-time, giving you a clean audit log of every subscription change.

Automated campaign creation and delivery

The `create_campaign` tool builds your email drafts programmatically using raw HTML or text content. Your agent drafts the copy, formats the layout, and prepares the dispatch settings without human intervention. Once the draft is ready, the `send_campaign` tool triggers the actual delivery to your selected mailing list. Because the OpenAI Agents SDK supports strict guardrails, you can require a human-in-the-loop approval step before this final tool executes.

Track metrics directly in OpenAI Agents SDK

The `get_campaign_stats` tool pulls live performance metrics like open rates and click counts directly into your agent's context window. This lets your system analyze campaign performance on the fly and adjust future copy based on real data. Using this MCP Server, your agent can also run `list_campaigns` to audit past performance trends over time. The SDK caches these tool definitions, ensuring your telemetry runs fast without hammering your rate limits.

Setup guide

Set up Moosend (Email Marketing & Automation) 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 Moosend (Email Marketing & Automation) tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Moosend (Email Marketing & Automation) 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="Moosend (Email Marketing & Automation) Agent",
            instructions="You have access to Moosend (Email Marketing & Automation) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Moosend (Email Marketing & Automation) MCP in OpenAI Agents SDK

Set `cacheToolsList=True` during your MCP Server initialization to prevent unnecessary tool discovery calls. For high-volume operations with `add_subscriber`, use a task queue to space out requests and avoid hitting the Moosend API threshold.

Yes, your agent can call `create_campaign` to generate the draft and then trigger `send_campaign` to dispatch it. We recommend setting up a manual approval step in your Python code before the send tool runs to review the generated content.

Install the package using `pip install openai-agents` first. Then, configure `MCPServerStreamableHttp` with your Vinkius endpoint URL and pass it to your Agent constructor inside an async context manager.

The SDK tracing dashboard logs the exact tool call for `add_subscriber` that failed. You can inspect the payload, fix any formatting issues, and re-run the failed step without corrupting the rest of your mailing list.

All subscriber email addresses and campaign statistics passing through `add_subscriber` or `get_campaign_stats` run inside an isolated, ephemeral V8 sandbox on Vinkius. Your API keys are injected securely as environment variables, meaning your raw credentials never touch the client-side code or the LLM provider directly.

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