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Aero Workflow MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Check Api Health, Create New Customer, Create New Workflow Task, and more

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Aero Workflow through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Ask AI about this App Connector for OpenAI Agents SDK

The Aero Workflow app connector for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
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="Aero Workflow Assistant",
            instructions=(
                "You help users interact with Aero Workflow. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Aero Workflow"
        )
        print(result.final_output)

asyncio.run(main())
Aero Workflow
Fully ManagedVinkius Servers
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High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Aero Workflow MCP Server

Connect your Aero Workflow account to any AI agent and take full control of your accounting practice management and automated firm operations through natural conversation.

The OpenAI Agents SDK auto-discovers all 12 tools from Aero Workflow through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Aero Workflow, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Workflow & Task Orchestration — List and manage your entire practice hierarchy programmatically, retrieving detailed checklists and high-fidelity technical instructions in real-time
  • Time Tracking Intelligence — Monitor billable hour records and retrieve detailed historical time logs to maintain a perfectly coordinated overview of staff productivity
  • Customer Lifecycle Management — Access complete directories of firm customers and business entities to coordinate your organizational relationship ecosystem programmatically
  • Communication Architecture — Access and monitor workflow-linked emails and message threads to maintain high-fidelity oversight of client interactions
  • Infrastructure Monitoring — Retrieve checklist templates and verify account-level settings directly through your agent for instant operational reporting

The Aero Workflow MCP Server exposes 12 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.

All 12 Aero Workflow tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Aero Workflow through Vinkius, your AI agent gets direct access to every tool listed below — spanning practice-management, task-tracking, time-logging, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_api_health

Verify Aero Workflow API status

create_new_customer

Requires name and contact information. Add a new client to Aero

create_new_workflow_task

Requires a subject and assigned user. Add a new task to Aero

get_account_info

Get account metadata

get_task_details

Get details for a specific task

list_checklist_templates

List reusable workflow templates

list_configured_webhooks

List active webhooks

list_firm_customers

List all client accounts

list_firm_team_members

List firm users and staff

list_time_tracking_logs

List time entries for tasks

list_workflow_emails

List communication emails

list_workflow_tasks

List workflow tasks and checklists

Connect Aero Workflow to OpenAI Agents SDK via MCP

Follow these steps to wire Aero Workflow into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 12 tools from Aero Workflow

Why Use OpenAI Agents SDK with the Aero Workflow MCP Server

OpenAI Agents SDK provides unique advantages when paired with Aero Workflow through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Aero Workflow + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Aero Workflow MCP Server delivers measurable value.

01

Automated workflows: build agents that query Aero Workflow, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Aero Workflow, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Aero Workflow tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Aero Workflow to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Aero Workflow in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Aero Workflow immediately.

01

"List all active workflow tasks in my Aero account."

02

"Create a new task 'Urgent Tax Review' for customer 'Acme Corp'."

03

"Show my recent time tracking logs for this week."

Troubleshooting Aero Workflow MCP Server with OpenAI Agents SDK

Common issues when connecting Aero Workflow to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Aero Workflow + OpenAI Agents SDK FAQ

Common questions about integrating Aero Workflow MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.