How to Use the Dashdoc MCP in Vercel AI SDK

Q: How do I query Dashdoc transport logs using Vercel AI SDK?

You call listtransports or searchtransportsbyreference through your defined MCP client. These tools return the exact scheduling timestamps and status updates you need for your dashboard.

Dashdoc MCP Server for Vercel AI SDK lets your React app stream real-time logistics data directly into your frontend UI.

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Connect Dashdoc MCP to Vercel AI SDK

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

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Stream transport data into your UI with AI SDK

Hook your Vercel AI SDK frontend directly into your logistics pipeline. When you use `list_transports` or `get_transport_details`, the data flows straight into your components without waiting for backend roundtrips. Your users watch the status updates appear live. It removes the need for clunky loading spinners while the agent processes order metadata.

Manage fleet assets inside your Vercel AI SDK app

Pull your live fleet state into your application logic. The `list_fleet_trucks` and `list_fleet_trailers` tools provide immediate access to vehicle registration numbers and load capacities. Building dynamic dashboards becomes trivial. You feed this data into your interface, giving your team a live view of vehicle availability and assignment status.

Handle site metadata via Vercel AI SDK tools

Create and reference delivery sites using `create_new_address` and `list_saved_addresses`. Your agent maintains your address book without you touching the API manually. Site-specific instructions like gate codes or loading requirements stay synced. Your AI agent fetches these details automatically when planning a new pickup or delivery route.

Setup guide

Set up Dashdoc 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 Dashdoc 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 Dashdoc 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 Dashdoc. 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 Dashdoc MCP in Vercel AI SDK

You call `list_transports` or `search_transports_by_reference` through your defined MCP client. These tools return the exact scheduling timestamps and status updates you need for your dashboard.

Yes, you use the available fleet tools to fetch current trailer or truck statuses. The AI client processes these lists and updates your UI state in real-time.

Your logistics data remains strictly scoped to your authenticated session. We enforce transit encryption and rely on your Vercel project's environment variables to manage endpoint access tokens.

No, the server works over standard HTTP transport protocols. You just point your Vercel AI SDK configuration to the Vinkius endpoint.

Your transport records stay protected behind your unique API token. We never log or cache your specific cargo items or contact names on our servers after the session ends.

Use it with your favorite AI tools

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