How to Use the EmailOctopus MCP in OpenAI Agents SDK

Q: How do I connect the EmailOctopus MCP Server to the OpenAI Agents SDK?

Install openai-agents and initialize MCPServerStreamableHttp with your Vinkius endpoint. Pass the server instance directly into your Agent constructor using the mcpservers argument.

Q: Can my OpenAI Agents SDK setup trigger EmailOctopus automations?

Yes, your agent can call triggerautomationforcontact as long as you have the API trigger enabled in your EmailOctopus dashboard. The SDK handles tool discovery automatically.

Q: Does the OpenAI Agents SDK support caching for EmailOctopus tools?

Yes, set cacheToolsList=True in your configuration to avoid fetching the tool definitions on every single request. This cuts down latency when your agent runs frequent list operations.

Build production-grade systems with OpenAI Agents SDK to run your EmailOctopus lists and automations under strict guardrails.

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Connect EmailOctopus MCP to OpenAI Agents SDK

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

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Run automated subscriber loops in OpenAI Agents SDK

Your agent uses `add_contact_to_list` and `trigger_automation_for_contact` to welcome new users. It runs these operations through the Vinkius MCP sandbox, keeping your API keys safe from raw agent exposure. The OpenAI SDK validates these actions before they execute. If a contact already exists, the agent catches the error and switches to `update_contact_profile` to refresh custom fields without breaking.

Sync campaign metrics to your OpenAI dashboard

The agent calls `get_campaign_summary_report` to pull open rates, clicks, and bounce metrics directly into your routing flows. Vinkius provides clean JSON formatting so the model processes the data without parsing errors. This MCP Server exposes raw stats so your agent can decide whether to trigger follow-up sequences. Every tool call and decision is logged inside your OpenAI developer dashboard.

Clean and segment your EmailOctopus lists safely

Your agent scans subscriber records via `list_contacts_in_list` to flag inactive or bounced email addresses. Manual CSV exports are no longer necessary. This MCP Server keeps your deliverability scores high and your EmailOctopus costs low by pruning unengaged contacts automatically.

Setup guide

Set up EmailOctopus 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 EmailOctopus tools at runtime.
3

Create your Agent

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

Run the agent

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

Install `openai-agents` and initialize `MCPServerStreamableHttp` with your Vinkius endpoint. Pass the server instance directly into your Agent constructor using the `mcp_servers` argument.

Yes, your agent can call `trigger_automation_for_contact` as long as you have the API trigger enabled in your EmailOctopus dashboard. The SDK handles tool discovery automatically.

Yes, set `cacheToolsList=True` in your configuration to avoid fetching the tool definitions on every single request. This cuts down latency when your agent runs frequent list operations.

Run your updates through a queue or use the built-in guardrails in the SDK to throttle agent actions. If the API returns a rate limit error, the agent backs off and retries.

Vinkius runs this MCP Server in an isolated, zero-trust V8 sandbox. Your subscriber emails and list profiles are never stored or logged on our servers, acting only as a secure pass-through.

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