How to Use the UniOne MCP in OpenAI Agents SDK

Q: Can I use UniOne to track my sends with the OpenAI Agents SDK?

Absolutely. Your agent can list suppressed emails using listsuppression. This tells you exactly which addresses were blocked, so your campaigns don't hit dead ends.

Send high-deliverability emails and manage campaigns directly with the OpenAI Agents SDK.

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Connect UniOne MCP to OpenAI Agents SDK

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

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Manage Email Campaigns via MCP Server

The `list_templates` tool lets your agent see all available email templates. You can check if you're using the right one before sending out anything. Need to change a template? The `set_template` tool creates or updates them instantly, making sure your agents always reference current branding.

Send Emails from OpenAI Agents SDK

Agents can fire off emails using the `send_email` tool. This is for one-off transactional messages—think password resets or confirmations. If you're sending a campaign, use `send_template`. It takes an existing template and executes the send, keeping everything organized.

Maintain Email Infrastructure

Keep your system clean with tools like `list_webhooks` and `get_webhook`. You can check if a webhook is set up correctly to catch delivery data. If something breaks, the `delete_webhook` tool lets your agent scrub old or broken endpoint configurations.

Setup guide

Set up UniOne 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 UniOne tools at runtime.
3

Create your Agent

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

Run the agent

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

UniOne connects as a streamable HTTP server, letting your agents auto-discover its tools. Since you're building a production agent system, this connection is designed to be stable and traceable right from the OpenAI dashboard.

Yeah, it handles millions of messages. Whether you're running a small drip campaign or a massive blast, the underlying infrastructure manages the deliverability and analytics for you.

The server handles email templates, webhooks configurations, and suppression lists. This means your agents are acting on sensitive operational data about how emails are sent and tracked.

Absolutely. Your agent can list suppressed emails using `list_suppression`. This tells you exactly which addresses were blocked, so your campaigns don't hit dead ends.

The server manages email sending and campaign metadata. Your agent processes information about templates and suppression lists, but the core connection ensures that actions are validated before they execute.

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