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How to Use the Campaign Monitor MCP in OpenAI Agents SDK

Run production-grade email workflows using the Campaign Monitor MCP Server with OpenAI Agents SDK.

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OpenAI Agents SDK

Connect Campaign Monitor MCP to OpenAI Agents SDK

Create your Vinkius account to connect Campaign Monitor 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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Safe subscriber sync using OpenAI Agents SDK

Managing subscriber lists becomes fully automated when your agent triggers `add_subscriber` directly. The model updates user profiles instantly when they change in your app, removing the need for manual CSV imports. This MCP Server handles the connection securely. If an agent tries to modify a list, OpenAI's built-in guardrails validate the payload before hitting the API, preventing accidental mass updates.

Automated performance audits

Automated performance audits start when your agent calls `get_campaign_analytics` and `get_list_statistics` to pull raw performance numbers right after a dispatch. The agent digests these numbers and formats them for your team. You can set up a specialized agent that only looks at these metrics. It flags high unsubscribe rates or low open rates, then hands off the task to a human writer if a campaign underperforms.

Account-wide audience mapping

Navigating multiple client portfolios gets easier when your agent queries `list_clients` and `list_subscriber_lists` to map out where new leads should go. Managing multiple client portfolios gets easier when your agent can navigate your accounts using our MCP toolset. This setup removes the manual work of looking up ID strings. Your agent finds the right target list dynamically, then uses `get_subscriber_details` to verify the recipient exists before sending custom data.

Setup guide

Set up Campaign Monitor 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. 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. 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 Campaign Monitor tools at runtime.

  3. 3

    Create your Agent

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

  4. 4

    Run the agent

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

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Campaign Monitor. 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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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Campaign Monitor MCP in OpenAI Agents SDK

Install the SDK, then initialize the server using `MCPServerStreamableHttp` with your Vinkius endpoint. Pass this server object in the `mcp_servers` list when creating your Agent.
Yes, you control this at the agent level. You can define specific system instructions or use OpenAI's guardrails to block access to tools like `add_subscriber` for read-only agents.
The SDK handles the API connection through the Vinkius proxy. If your agent makes too many rapid calls to `get_campaign_analytics`, the server manages the queue to prevent API key suspension.
Setting up a triage agent works well here. Have it call `list_sent_campaigns`, then hand the data over to an analyst agent that runs `get_campaign_analytics` to write a report.
Your subscriber email addresses and profile details are never stored by Vinkius. Every request to `get_subscriber_details` runs in an isolated, ephemeral sandbox that destroys the session data immediately after the agent receives the payload.

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