AfterLogic Aurora MCP Server for OpenAI Agents SDK 5 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect AfterLogic Aurora through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="AfterLogic Aurora Assistant",
instructions=(
"You help users interact with AfterLogic Aurora. "
"You have access to 5 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from AfterLogic Aurora"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About AfterLogic Aurora MCP Server
Connect your AfterLogic Aurora account to your AI agent to unlock professional email and webmail orchestration. From managing complex mail folder structures to retrieving message lists and handling administrative account tasks, your agent handles your communication platform through natural conversation.
The OpenAI Agents SDK auto-discovers all 5 tools from AfterLogic Aurora through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries AfterLogic Aurora, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Mail Orchestration — List and manage email folders and retrieve message lists for any account
- Administrative Management — Check if accounts exist and manage domains or users via the REST Admin API
- Communication Flow — Send and retrieve technical metadata for emails to support your communication workflows
- Integration Support — Access both the Web API for user-level tasks and the REST API for system-wide administration
- Status Monitoring — Quickly audit mail server availability and account statuses directly from your chat interface
The AfterLogic Aurora MCP Server exposes 5 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect AfterLogic Aurora to OpenAI Agents SDK via MCP
Follow these steps to integrate the AfterLogic Aurora MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 5 tools from AfterLogic Aurora
Why Use OpenAI Agents SDK with the AfterLogic Aurora MCP Server
OpenAI Agents SDK provides unique advantages when paired with AfterLogic Aurora through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
AfterLogic Aurora + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the AfterLogic Aurora MCP Server delivers measurable value.
Automated workflows: build agents that query AfterLogic Aurora, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries AfterLogic Aurora, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through AfterLogic Aurora tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query AfterLogic Aurora to resolve tickets, look up records, and update statuses without human intervention
AfterLogic Aurora MCP Tools for OpenAI Agents SDK (5)
These 5 tools become available when you connect AfterLogic Aurora to OpenAI Agents SDK via MCP:
check_account_exists
Requires Admin rights. Verify if an email address is actively provisioned on the AfterLogic server
list_domains
Requires Admin rights. Retrieve all active custom domains mapped to the AfterLogic server instance
list_folders
Retrieve the internal email folder hierarchy for the authenticated AfterLogic user
list_messages
Requires a folder path from list_folders. Retrieve recent emails contained within a specified AfterLogic mail folder
send_email
Compose and send an outbound email securely via the AfterLogic Web API
Example Prompts for AfterLogic Aurora in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with AfterLogic Aurora immediately.
"List all mail folders for user 'admin@example.com'."
"Check if the account 'user1@example.com' exists on the server."
"Show me the last 10 messages in the INBOX."
Troubleshooting AfterLogic Aurora MCP Server with OpenAI Agents SDK
Common issues when connecting AfterLogic Aurora to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
AfterLogic Aurora + OpenAI Agents SDK FAQ
Common questions about integrating AfterLogic Aurora MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect AfterLogic Aurora with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect AfterLogic Aurora to OpenAI Agents SDK
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.