How to Use the Aero Workflow MCP in Mastra AI

Q: Can I build a multi-step onboarding process for Aero Workflow with Mastra AI?

Yes. You can create a Mastra AI workflow that uses createnewcustomer to add a client, then createnewworkflowtask to assign kickoff tasks to your team. Mastra handles the sequencing and any necessary retries.

Q: Can a Mastra AI agent get approval before creating a task in Aero Workflow?

Absolutely. You can use Mastra's requireToolApproval feature. When your agent decides to use the createnewworkflowtask tool, it will pause and wait for a human to approve the action before proceeding.

Build failure-resistant accounting automations for Aero Workflow with Mastra AI. Your agent can now retry tasks and handle errors.

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Connect Aero Workflow MCP to Mastra AI

Create your Vinkius account to connect Aero Workflow to Mastra AI 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 Aero Workflow with Mastra AI

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Create Records with Automatic Retries

This toolset lets your Mastra AI agent create new customers and tasks in Aero Workflow. You use the `create_new_customer` and `create_new_workflow_task` tools as steps in your automated process. Mastra's real strength is its workflow engine. If a network blip causes `create_new_customer` to fail, Mastra automatically retries with exponential backoff. You don't have to write that logic; your onboarding workflow just works.

Build Conditional, Multi-Step Workflows

Go beyond simple commands. You can now build workflows that fetch data, make decisions, and then act. For example, use `list_workflow_tasks` to check a user's current workload before assigning them a new task with `create_new_workflow_task`. With Mastra AI, you can define conditional branches. If a user is overloaded, the agent can assign the task to someone else or flag it for review. This MCP server gives your agent the tools; Mastra gives it the logic.

Monitor Aero and Your Mastra AI Agent

Keep an eye on your systems automatically. Your Mastra agent can periodically run `check_api_health` to verify the Aero Workflow API is online. It can also use `list_configured_webhooks` to ensure your integrations are still active. If a check fails, Mastra can trigger an alert, create a ticket, or try to fix the problem itself. It's how you build a self-healing system for your firm's operations.

Setup guide

Set up Aero Workflow MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Aero Workflow tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "aero-workflow-mcp-client",
  servers: {
    "aero-workflow-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Aero Workflow Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Aero Workflow tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Aero Workflow transactions"
);
console.log(result.text);

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Common questions about Aero Workflow MCP in Mastra AI

Yes. You can create a Mastra AI workflow that uses `create_new_customer` to add a client, then `create_new_workflow_task` to assign kickoff tasks to your team. Mastra handles the sequencing and any necessary retries.

Mastra has built-in support for retries with exponential backoff. If a tool call to this MCP server fails due to a temporary issue, Mastra will automatically try again. You can configure the number of retries and the backoff strategy.

Absolutely. You can use Mastra's `requireToolApproval` feature. When your agent decides to use the `create_new_workflow_task` tool, it will pause and wait for a human to approve the action before proceeding.

You don't connect it directly. You subscribe to this MCP server on Vinkius and get a secure URL. You pass that URL to the `MCPClient` in your Mastra AI code, and Vinkius manages the connection and authentication to Aero Workflow.

Your data is only processed for the specific task at hand. The MCP server accesses only the Aero Workflow data needed by the tools you invoke, such as task subjects or customer contact information. Each operation runs in a zero-trust, ephemeral sandbox on Vinkius, and communication with your Mastra AI agent is encrypted.

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