How to Use the DoorDash Drive MCP in Vercel AI SDK

Q: How do I stream DoorDash Drive delivery quotes using Vercel AI SDK?

Call mcpClient.tools() to grab the getdeliveryquote tool and pass it to your streamText function. The Vercel AI SDK handles the streaming response directly to your React frontend, showing the price and ETA without blocking the main thread.

Q: Can I cancel a DoorDash Drive order through Vercel AI SDK on Edge Functions?

Yes, you can execute cancelactivedelivery inside your Edge Function by connecting the MCP server. Make sure to call mcpClient.close() at the end of the execution to prevent open connection leaks in your serverless environment.

Q: What is the correct way to initialize this server in my project?

Install the packages with npm install ai @ai-sdk/mcp. It's easy to set up; just use createMCPClient with your HTTP endpoint URL, extract the tools, and clean up the connection using the close method.

Render live DoorDash Drive delivery updates directly into your React components using the Vercel AI SDK and our MCP Server.

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Connect DoorDash Drive MCP to Vercel AI SDK

Create your Vinkius account to connect DoorDash Drive 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 DoorDash Drive with Vercel AI SDK

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Live delivery quotes with Vercel AI SDK

The `get_delivery_quote` tool calculates DoorDash shipping costs on the fly for your frontend. By passing this tool into your Vercel AI SDK stream, your checkout form renders real-time pricing and estimated drop-off times before the buyer even clicks purchase. This Vercel AI SDK setup runs directly inside Edge Functions to keep DoorDash pricing latency low. The buyer sees the DoorDash delivery fee and arrival window render instantly in the Vercel UI without waiting for a full page refresh.

Real-time shipment tracking components

The `get_delivery_details` tool stops you from forcing users to refresh their screens to find their DoorDash driver. Your application calls this tool and streams the exact status, courier coordinates, and ETA changes straight to your Next.js page. Your React interface updates dynamically as the DoorDash courier moves. Because the Vercel AI SDK handles the stream, you avoid writing complex WebSocket boilerplate to show whether the order is at the store or on the road.

Instant self-service order cancellations

The `cancel_active_delivery` tool lets users cancel their own DoorDash orders through your Vercel chat interface when they make a mistake. Your agent evaluates the request and triggers the cancellation immediately, updating the UI state to confirm the cancellation before the driver arrives at the store. You can combine this with `list_in_progress_deliveries` to check if the DoorDash order is still eligible for cancellation. This prevents customer service tickets by letting your AI client handle mistakes instantly via this MCP server.

Setup guide

Set up DoorDash Drive 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 DoorDash Drive 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 DoorDash Drive 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 DoorDash Drive. 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 DoorDash Drive MCP in Vercel AI SDK

Call `mcpClient.tools()` to grab the `get_delivery_quote` tool and pass it to your `streamText` function. The Vercel AI SDK handles the streaming response directly to your React frontend, showing the price and ETA without blocking the main thread.

Yes, you can execute `cancel_active_delivery` inside your Edge Function by connecting the MCP server. Make sure to call `mcpClient.close()` at the end of the execution to prevent open connection leaks in your serverless environment.

The server provides raw delivery data like coordinates and ETAs. The Vercel AI SDK streams these tool outputs directly, allowing your React components to render the live status of active deliveries as the data arrives.

Install the packages with `npm install ai @ai-sdk/mcp`. It's easy to set up; just use `createMCPClient` with your HTTP endpoint URL, extract the tools, and clean up the connection using the close method.

This server accesses customer delivery addresses, phone numbers, and order coordinates. Vinkius runs the server inside an isolated, zero-trust sandbox, ensuring your customer logistics data never persists on our servers.

Use it with your favorite AI tools

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