How to Use the Aero Workflow MCP in Vercel AI SDK

Q: How do I list customers from Aero Workflow using the Vercel AI SDK?

Call mcpClient.tools() to get the available tools, then pass them to streamText with a prompt like 'list all customers'. The Vercel AI SDK will invoke the listfirmcustomers tool and stream the results directly into your UI.

Stream Aero Workflow data directly into your React and Next.js UI with the Vercel AI SDK. No more loading spinners.

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Connect Aero Workflow MCP to Vercel AI SDK

Create your Vinkius account to connect Aero Workflow to Vercel AI 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 Aero Workflow with Vercel AI SDK

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List Clients and Tasks in Real-Time

This toolset lets you pull customer and task lists from Aero Workflow. With the Vercel AI SDK, you can stream the results of `list_firm_customers` or `list_workflow_tasks` directly into your UI components. Your users see the data populating a table row-by-row, not all at once after a delay. It's a much better experience than staring at a spinner while the backend fetches everything. You just pass the tools from `mcpClient.tools()` to `streamText` and the SDK handles the rest.

Create Customers and Tasks Instantly

Use your agent to add new records to Aero Workflow. The `create_new_customer` and `create_new_workflow_task` tools let you build forms where an AI client handles the submission. When a user hits 'save' in your app, the AI SDK can call the tool and stream the confirmation back. You get the new record ID immediately, letting you update the UI without a full page reload. It makes your app feel fast and responsive.

Your Aero Workflow MCP Server Status

Monitor your connection and account details programmatically. The `check_api_health` tool confirms the Aero Workflow API is up, and `get_account_info` pulls your firm's metadata. This is useful for building status indicators or admin dashboards inside your application. The AI SDK makes it easy to bind this data to a component that automatically refreshes, giving you a live view of your MCP server's health.

Setup guide

Set up Aero Workflow MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Aero Workflow tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Aero Workflow transactions",
});

console.log(text);
await mcpClient.close();

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Aero Workflow. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Aero Workflow MCP in Vercel AI SDK

Call `mcpClient.tools()` to get the available tools, then pass them to `streamText` with a prompt like 'list all customers'. The Vercel AI SDK will invoke the `list_firm_customers` tool and stream the results directly into your UI.

Yes. After setting up the MCP client, your agent can call the `create_new_customer` tool with the required name and contact info. The SDK handles the API call, and you can get the new customer's ID back to confirm success.

Vinkius handles authentication for you. Your single Vinkius endpoint URL contains your token. Just pass that URL when you initialize `createMCPClient` and the SDK will manage the secure connection to this MCP server.

Yes, the Vercel AI SDK and its MCP client are fully compatible with the edge runtime. You can fetch data from Aero Workflow with extremely low latency, close to your users.

No, your data remains under your control. This MCP server only accesses the specific Aero Workflow data your agent requests, like customer names, contact information, and task details. Vinkius sandboxes every request in an ephemeral environment, and your client communicates over a secure, authenticated channel.

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