How to Use the AfterLogic Aurora MCP in OpenAI Agents SDK

Q: Can OpenAI Agents SDK read my AfterLogic Aurora inbox?

Yes, if you grant it access. The agent uses the listfolders tool to grab your directory structure, then calls listmessages to pull specific emails.

Q: Does AfterLogic Aurora work with OpenAI Agents SDK handoffs?

They work perfectly together. You assign admin tools like listdomains to an infrastructure agent, while a separate customer service agent gets access to sendemail.

Connect AfterLogic Aurora to your OpenAI Agents SDK system. Build production-ready email agents with built-in guardrails and full tracing.

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Connect AfterLogic Aurora MCP to OpenAI Agents SDK

Create your Vinkius account to connect AfterLogic Aurora 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 AfterLogic Aurora with OpenAI Agents SDK

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Manage domains via OpenAI Agents SDK

Agents need context before taking action. Passing `list_domains` to your handoff system lets specialized admin agents map out your active custom domains instantly. You combine this with `check_account_exists` to build automated onboarding flows. The SDK guardrails force your agent to verify an email is actually provisioned on the server before it attempts any downstream configuration.

Read mail folders securely

Giving an LLM raw access to an inbox usually ends badly. By exposing `list_folders` through an MCP Server, you restrict the agent to specific internal folder hierarchies instead of the entire account. Once the agent maps the structure, it calls `list_messages` to pull recent emails from targeted paths. You get full visibility into these read operations through the OpenAI dashboard tracing.

Send outbound communications

Production systems require reliable ways to communicate outside their isolated environments. The `send_email` tool handles outbound composition directly through the AfterLogic Web API. Because you are using the OpenAI framework, you enforce strict safety constraints before the message fires. Your agent drafts the response, the guardrails validate the content, and the server executes the send.

Setup guide

Set up AfterLogic Aurora 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 AfterLogic Aurora tools at runtime.
3

Create your Agent

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

Run the agent

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

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

Yes, if you grant it access. The agent uses the `list_folders` tool to grab your directory structure, then calls `list_messages` to pull specific emails.

They work perfectly together. You assign admin tools like `list_domains` to an infrastructure agent, while a separate customer service agent gets access to `send_email`.

No manual mapping is required. The framework auto-discovers every exposed tool through the MCP protocol as soon as you connect the endpoint.

Every request runs inside an ephemeral V8 Isolate Sandbox. When your agent pulls recent emails or checks account provisions, the environment spins up, executes the read, and instantly destroys itself. Nothing persists.

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