DoorDash Drive MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect DoorDash Drive through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using DoorDash Drive, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About DoorDash Drive MCP Server
Integrate DoorDash Drive, the white-label delivery fulfillment platform, directly into your AI workflow. Manage your inbound and outbound deliveries, track dasher assignments and real-time ETAs, request delivery quotes, and oversee your fulfillment operations using natural language.
The Vercel AI SDK gives every DoorDash Drive tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Delivery Oversight — List and retrieve detailed information and real-time status for all your DoorDash fulfillment requests.
- Logistics Intelligence — Monitor dasher assignments, live location telemetry, and accurate ETA boundaries for every delivery.
- Quoting & Planning — Request instant price and time-of-arrival quotes for potential deliveries based on geographic coordinates.
- Fulfillment Auditing — Retrieve high-level summaries of delivery activity, success rates, and active in-progress shipments.
The DoorDash Drive MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect DoorDash Drive to Vercel AI SDK via MCP
Follow these steps to integrate the DoorDash Drive MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from DoorDash Drive and passes them to the LLM
Why Use Vercel AI SDK with the DoorDash Drive MCP Server
Vercel AI SDK provides unique advantages when paired with DoorDash Drive through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same DoorDash Drive integration everywhere
Built-in streaming UI primitives let you display DoorDash Drive tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
DoorDash Drive + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the DoorDash Drive MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query DoorDash Drive in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate DoorDash Drive tools and return structured JSON responses to any frontend
Chatbots with tool use: embed DoorDash Drive capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with DoorDash Drive through natural language queries
DoorDash Drive MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect DoorDash Drive to Vercel AI SDK via MCP:
cancel_active_delivery
Cancel a delivery that has not yet been picked up
create_new_delivery
Request a new DoorDash delivery (Drive v2)
get_delivery_details
Get detailed information and real-time status for a specific delivery
get_delivery_quote
Get a price and ETA quote for a potential delivery
get_doordash_developer_metadata
Retrieve metadata for the current authenticated developer account
list_doordash_deliveries
List all active and recent deliveries in your DoorDash Drive account
list_in_progress_deliveries
Identify deliveries that are currently in progress or out for delivery
list_latest_deliveries
Identify the most recently created or updated deliveries
quick_delivery_volume_audit
Retrieve a high-level summary of delivery activity and success rates
search_deliveries_by_external_id
Search for a delivery using your own external reference ID
Example Prompts for DoorDash Drive in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with DoorDash Drive immediately.
"List all deliveries currently in progress."
"Get a delivery quote from '123 Main St' to '456 Oak Ave'."
"Check the status of delivery 'D-998877'."
Troubleshooting DoorDash Drive MCP Server with Vercel AI SDK
Common issues when connecting DoorDash Drive to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDoorDash Drive + Vercel AI SDK FAQ
Common questions about integrating DoorDash Drive MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect DoorDash Drive with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect DoorDash Drive to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.