How to Use the Sender.net MCP in OpenAI Agents SDK

Q: Can OpenAI Agents SDK automatically build Sender.net campaigns?

Yes. Your agent can draft content and execute the createcampaign tool. You can enforce guardrails to require human approval before the actual send happens.

Build production-ready email marketing agents with OpenAI Agents SDK. Manage subscribers and track campaigns with built-in safety guardrails.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Sender.net MCP to OpenAI Agents SDK

Create your Vinkius account to connect Sender.net to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Sender.net with OpenAI Agents SDK

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OpenAI Agents SDK subscriber routing

The `create_subscriber` and `update_subscriber` MCP tools give your agent direct write access to your Sender.net lists. You define the routing logic in Python, and the agent executes list hygiene operations automatically without manual imports. Handoffs between specialized agents keep this safe. A support agent can verify customer details before passing the context to a marketing agent that calls `delete_subscriber` to handle opt-outs.

Read marketing performance data

You'll pull live metrics using the `get_campaign_analytics` tool over your MCP connection. This setup lets your system react to open rates and click data without ever touching a CSV export. You can also map historical performance. Calling `list_email_campaigns` provides the baseline numbers your agent needs to draft follow-up sequences.

Map lists to context windows

The `list_subscriber_groups` and `get_group` tools expose your exact audience segments to the agent. It reads the group IDs required to target specific demographics before writing any copy. Built-in tracing through the OpenAI dashboard tracks exactly which agent queried `list_subscribers`. You always know why a specific filter was applied to an audience pull.

Setup guide

Set up Sender.net 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 Sender.net tools at runtime.
3

Create your Agent

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

Run the agent

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

Install the pip package and configure MCPServerStreamableHttp. Pass the server endpoint to the mcp_servers array in your Agent constructor. Set cacheToolsList=True to speed up initialization.

Yes. Your agent can draft content and execute the create_campaign tool. You can enforce guardrails to require human approval before the actual send happens.

The SDK catches the HTTP 429 response. You can configure your agent to back off and retry the get_subscriber_details call automatically.

You pass a single endpoint token when initializing the streamable HTTP connection. The Vinkius infrastructure handles the actual API keys securely in the background.

This integration processes customer email addresses, phone numbers, and engagement metrics. Vinkius runs the MCP Server in an ephemeral V8 Isolate Sandbox. The sandbox is destroyed immediately after your agent finishes reading the subscriber profile.

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