How to Use the Campaigner MCP in OpenAI Agents SDK

Q: Can OpenAI Agents SDK read my Campaigner subscriber data?

Yes, it pulls records using the listsubscribers tool. You control exactly which agents get access to this specific toolset.

Connect Campaigner to your OpenAI Agents SDK pipeline. Build production marketing agents with safety guardrails and execution tracing.

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Connect Campaigner MCP to OpenAI Agents SDK

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

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Audience Growth via MCP Server

Adding users to contact lists requires the `create_subscriber` tool. You push new signups directly into Campaigner from your Python application. OpenAI's handoff system routes lead qualification to a specialized agent before committing the record. Checking existing records happens through `get_subscriber` and `list_subscribers`. Guardrails stop duplicate entries by validating the email address before the agent executes the creation step.

Campaign Execution Tracing

Monitoring email blasts relies on `get_campaign_stats` to pull raw metrics through the MCP connection. These stats feed open rates and click counts back to your dashboard. Tracing in OpenAI captures every API request your agent makes to the marketing backend. Reviewing active sends is handled by `list_campaigns` and `get_campaign`. You configure your agent to alert human operators when bounce rates exceed defined thresholds.

Workflow Audit Automation

Running `list_workflows` lets your agent document every active trigger and response path. This gives you a clear view of how leads move through your funnels without clicking through a web interface. Fetching audience targets works via `list_segments` and `list_publications`. Your agent crosses these lists against core account details using `get_account_info` to ensure compliance with sending limits.

Setup guide

Set up Campaigner 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 Campaigner tools at runtime.
3

Create your Agent

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

Run the agent

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

Install the pip package and initialize MCPServerStreamableHttp. Pass the MCP server instance into your Agent constructor's servers array. Setting cacheToolsList to True speeds up tool discovery.

Yes, it pulls records using the list_subscribers tool. You control exactly which agents get access to this specific toolset.

Direct APIs require custom glue code and manual error handling. This MCP integration gives your agents native tool schemas instantly. Guardrails validate the inputs before the agent fires a request.

The underlying Vinkius infrastructure manages the connection state. Your Python code just awaits the response. If the marketing platform throttles requests, the agent receives a standard error code.

Subscriber email addresses and campaign metrics stay isolated. Vinkius locks this down with a V8 sandbox so the token only hits the designated endpoint. Your production environment never exposes the raw credentials.

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