How to Use the Freightview MCP in Vercel AI SDK

Build live LTL freight dashboards in React or Next.js by streaming Freightview data directly through the Vercel AI SDK.

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Connect Freightview MCP to Vercel AI SDK

Create your Vinkius account to connect Freightview 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 Freightview with Vercel AI SDK

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Stream Live Freight Rates via MCP Server

Your end users don't want to stare at a loading spinner while you fetch LTL quotes. Using this MCP Server with the Vercel AI SDK, you can stream the output of `request_rates` directly into your React frontend. The moment the agent finds the cheapest option, it pushes the data to the UI. You combine it with `get_quote_details` to render full pricing breakdowns live on the page, keeping your buyers engaged instead of waiting.

Build Real-Time Tracking UIs

Stop making users refresh the page to see where their pallets are. Your agent calls `get_shipment_details` and instantly streams the current transit status to your Svelte or Vue components. If a customer wants to see all their active loads, the agent hits `list_shipments` and populates the dashboard row by row. The data flows continuously from the edge straight to the browser.

Manage Carrier Profiles on the Fly

Giving users a directory of available logistics partners usually means building a massive syncing system. Now your agent just calls `list_connected_carriers` and generates the UI components dynamically. When a user clicks a specific partner, the agent fires `get_carrier_details` and streams the exact contact info and service areas. You get a fully interactive freight directory with zero database maintenance.

Setup guide

Set up Freightview 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 Freightview 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 Freightview 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 Freightview. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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Single dashboard

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Freightview MCP in Vercel AI SDK

Install the @ai-sdk/mcp package. You use createMCPClient with your Vinkius endpoint token, then pass mcpClient.tools() directly into streamText or generateText.

Yes. The SDK is built specifically for this. When the agent calls request_rates, you map the tool call results directly into React components to show live pricing.

It runs perfectly on the edge. You just need to ensure you call mcpClient.close() when the stream finishes so you don't leave dangling HTTP connections.

The tool call fails gracefully. Your agent catches the error from get_quote_details and can stream a fallback message to the user explaining the delay.

Vinkius runs the server in an ephemeral V8 Isolate. When your code requests saved warehouse locations via list_address_book, that data passes straight to your client and the sandbox dies immediately. Nothing is stored.

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