How to Use the Campaign Monitor MCP in OpenAI Agents SDK

Q: How do I connect Campaign Monitor to the OpenAI Agents SDK?

Install the package with pip install openai-agents. Create an MCPServerStreamableHttp object with your Vinkius URL, then pass it in the mcpservers array when initializing your Agent.

Q: Can the OpenAI Agents SDK add subscribers to Campaign Monitor?

Yes. The agent automatically discovers the addsubscriber tool and can push new contacts directly into specific lists based on your prompts.

Q: Does the OpenAI Agents SDK track Campaign Monitor performance?

It does. Your agent uses the getcampaignperformance tool to fetch open, click, and bounce metrics for any specific campaign.

Q: Do I need to manually define the email marketing tools?

No. The SDK handles tool discovery automatically. Just set cacheToolsList=True for better performance in production environments.

Connect Campaign Monitor to the OpenAI Agents SDK to build production email marketing bots with strict execution guardrails.

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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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Setup Campaign Monitor with OpenAI Agents SDK

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Perplexity

Manage Lists via Campaign Monitor MCP Server

Production agents need to handle real user data without breaking things. When you connect this MCP Server to your OpenAI setup, your agent gets direct access to `list_subscribers` and `add_subscriber`. You define the guardrails in your agent constructor, and the SDK handles the rest. If a specialized lead-gen agent finds a new contact, it safely pushes that email straight into your active Campaign Monitor lists.

Pull Campaign Performance Data

Executives always want to know how the latest blast performed. Instead of logging into the dashboard, your agent calls `list_campaigns` to find the recent sends, then hits `get_campaign_performance` to grab the open and click rates. Because the OpenAI SDK traces every step, you see exactly how the agent gathered those metrics. It pulls the raw stats and summarizes them before handing the payload off to your reporting agent.

Route Across Multiple Client Accounts

Agencies juggle dozens of brands. Your deployment can map out the whole structure using `list_clients` and `get_client_details` to figure out exactly which sub-account it needs to target. The auto-discovery feature means you just pass the Vinkius endpoint once. The agent instantly knows how to fetch templates with `list_email_templates` for a specific brand without you writing custom API wrappers.

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

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 Campaign Monitor tools at runtime.
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

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())

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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 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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Common questions about Campaign Monitor MCP in OpenAI Agents SDK

Install the package with `pip install openai-agents`. Create an `MCPServerStreamableHttp` object with your Vinkius URL, then pass it in the `mcp_servers` array when initializing your Agent.

Yes. The agent automatically discovers the `add_subscriber` tool and can push new contacts directly into specific lists based on your prompts.

It does. Your agent uses the `get_campaign_performance` tool to fetch open, click, and bounce metrics for any specific campaign.

No. The SDK handles tool discovery automatically. Just set `cacheToolsList=True` for better performance in production environments.

This MCP Server handles sensitive subscriber emails and campaign open rates. Vinkius runs the connection inside a V8 Isolate Sandbox, meaning the environment is completely destroyed after your agent finishes its task.

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