How to Use the EmailOctopus MCP in OpenAI Agents SDK

Q: How do I connect the EmailOctopus MCP server to my OpenAI Agent?

First, pip install openai-agents. Then, instantiate MCPServerStreamableHttp with your Vinkius URL and pass it to your Agent's constructor. The agent discovers all 10 EmailOctopus tools automatically.

Q: How does the OpenAI Agent handle campaign data from EmailOctopus?

It uses getcampaignperformancesummary to get metrics like open and click rates. You can then instruct the agent to format this data, generate a summary, or compare performance across different campaigns it finds with listemailcampaigns.

Q: What's the best way to find a specific person with my OpenAI Agent and EmailOctopus?

Use the searchcontactsbyemail tool. It's the most direct method for your agent to get a contact's profile using their email address, which avoids slowly iterating through an entire list.

Give your OpenAI Agent safe, traceable access to manage EmailOctopus lists and report on campaign performance.

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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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Audit Lists Without The Risk

Use `list_marketing_lists` and `list_list_contacts` to have your agent scan for inactive contacts. The agent can build a report of who to remove, but it can't actually delete anyone. These tools are strictly read-only. Because you're using the OpenAI Agent framework, you get a full trace of its actions in the OpenAI dashboard. You'll see exactly which contacts it checked with `get_contact_profile` and why it flagged them. It's auditing with a safety net.

Automate Campaign Reporting

This MCP Server connects your agent directly to your EmailOctopus metrics. Tell it to poll `get_campaign_performance_summary` for recent sends and `list_email_campaigns` for a historical view. Your agent can then assemble a report for you. Since the tools are auto-discovered, your agent can start working right away. Just set `cacheToolsList=True` in the `MCPServerStreamableHttp` constructor and it won't even have to re-fetch the tool list on every run.

Your OpenAI Agent's EmailOctopus Tools

Your agent can use `search_contacts_by_email` to find a specific person or run a `quick_marketing_volume_audit` to get a snapshot of your account's health. It's all done through the streamable client, so there's no custom API code to write. The agent just sees the tools and knows how to use them. You give it a task, and it figures out whether to use `get_campaign_details` or `get_list_details` to get the job done.

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

First, `pip install openai-agents`. Then, instantiate `MCPServerStreamableHttp` with your Vinkius URL and pass it to your Agent's constructor. The agent discovers all 10 EmailOctopus tools automatically.

No, these tools are read-only by design. Your agent can use `list_list_contacts` to identify contacts for removal, but a human or a separate process must perform the actual deletion in EmailOctopus.

It uses `get_campaign_performance_summary` to get metrics like open and click rates. You can then instruct the agent to format this data, generate a summary, or compare performance across different campaigns it finds with `list_email_campaigns`.

Use the `search_contacts_by_email` tool. It's the most direct method for your agent to get a contact's profile using their email address, which avoids slowly iterating through an entire list.

Yes. This server only handles EmailOctopus contact data, like email addresses and campaign history, as needed for each tool call. Vinkius runs the server in an ephemeral, zero-trust sandbox, and all connections are secured by your single endpoint token.

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