How to Use the McLeod Software MCP in Vercel AI SDK

Q: How do I connect McLeod Software to Vercel AI SDK?

Install @ai-sdk/mcp and initialize the McLeod Software MCP client using the Vinkius URL. Feed the tools directly into the Vercel AI SDK streamText function to start querying your freight logs.

Q: How does Vercel AI SDK handle long McLeod Software driver lists?

It streams the roster. When listdrivers returns a large fleet list from McLeod Software, the Vercel AI SDK sends the active drivers to your frontend incrementally to avoid UI freezing.

Q: Do I need to manually close the connection in my Edge Functions?

Yes, you must call mcpClient.close() to prevent open connections to your McLeod Software database from hanging in your Vercel AI SDK environment.

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Connect McLeod Software MCP to Vercel AI SDK

Create your Vinkius account to connect McLeod Software 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 McLeod Software with Vercel AI SDK

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Stream McLeod Software orders via Vercel AI SDK

`list_orders` lets your Vercel AI SDK client fetch active shipping orders from McLeod Software and stream status updates directly to your customer-facing dashboard. Instead, the Vercel AI SDK agent fetches raw data using `get_order` and feeds it chunk-by-chunk to render McLeod Software tracking details instantly.

Real-time dispatch search for teams

`search_orders` allows your Vercel AI SDK application to run instant queries across your entire McLeod Software database. Using `get_dispatch_details`, the Vercel AI SDK client pulls specific McLeod Software assignment parameters to render them without delay.

Render driver availability instantly

`list_drivers` feeds real-time driver availability metrics from McLeod Software straight into your Vercel AI SDK Edge Functions. By combining this with `list_movements`, your Vercel AI SDK application displays active McLeod Software truckload movements as they happen.

Setup guide

Set up McLeod Software 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 McLeod Software 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 McLeod Software transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by McLeod Software. 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 McLeod Software MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and initialize the McLeod Software MCP client using the Vinkius URL. Feed the tools directly into the Vercel AI SDK `streamText` function to start querying your freight logs.

Yes, you can. The Vercel AI SDK handles the streaming connection, allowing `get_dispatch_details` to feed active McLeod Software shipment info directly to your frontend.

It streams the roster. When `list_drivers` returns a large fleet list from McLeod Software, the Vercel AI SDK sends the active drivers to your frontend incrementally to avoid UI freezing.

Yes, you must call `mcpClient.close()` to prevent open connections to your McLeod Software database from hanging in your Vercel AI SDK environment.

Your McLeod Software driver records and dispatch logs are never stored. Vinkius runs the server in an isolated, ephemeral sandbox that processes data strictly in-memory during the Vercel AI SDK request.

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