How to Use the Cyberimpact MCP in OpenAI Agents SDK

Q: Can my OpenAI Agents SDK system read my Cyberimpact groups?

Yes, it reads them directly. The agent calls listgroups to pull your existing segments. It can also map specific users to those segments using retrievemember.

Q: Does the agent send emails automatically?

No, it only stages them. The createmailing tool builds the draft in your account. A human still needs to approve and schedule the final send.

Build production-ready email marketing agents with Cyberimpact and the OpenAI Agents SDK.

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Connect Cyberimpact MCP to OpenAI Agents SDK

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

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Claude

Perplexity

Manage contacts via OpenAI Agents SDK

Your agent needs to keep email lists updated without breaking existing systems. Connecting this MCP Server gives your Python code direct control over subscriber data. You define the safety constraints, and the agent handles the execution. Trigger `create_member` when a new user signs up in your app. If an account gets closed, the agent can call `delete_member` or `unsubscribe_member` to maintain compliance. You get full visibility into these API calls through the OpenAI tracing dashboard.

Segment audiences automatically

Sorting users into the right buckets is usually a manual chore. This integration lets your specialized agents handle audience segmentation on the fly. Handoffs between agents work perfectly here. One agent qualifies a lead, and another assigns the group. Use `create_group` to spin up a new segment for a specific event. Then loop through your qualified leads and run `add_member_to_group` to populate it. The SDK validates every step before making the HTTP request.

Draft campaigns from the Cyberimpact MCP

Generating email copy is what LLMs do best. Now they can actually stage those emails in your marketing platform. You skip the copy-paste routine entirely. The agent pulls available layouts using `list_templates`. Once the content is approved by your guardrails, it executes `create_mailing` to build the campaign. You just log in and hit send.

Setup guide

Set up Cyberimpact 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 Cyberimpact tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

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Common questions about Cyberimpact MCP in OpenAI Agents SDK

Install openai-agents via pip. Initialize MCPServerStreamableHttp with your Vinkius endpoint URL and pass it to the Agent constructor. Set cacheToolsList=True to speed up tool discovery.

Yes, it reads them directly. The agent calls `list_groups` to pull your existing segments. It can also map specific users to those segments using `retrieve_member`.

No, it only stages them. The `create_mailing` tool builds the draft in your account. A human still needs to approve and schedule the final send.

You configure an agent to process opt-out requests. It uses the `unsubscribe_member` tool to update the contact's status immediately. This keeps your production system compliant with anti-spam rules.

The server processes email addresses, names, and group assignments. Your Vinkius endpoint runs in an isolated V8 sandbox that destroys itself after the session. OpenAI only sees the specific contact records requested during the active trace.

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