DROPBOY 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 DROPBOY through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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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 DROPBOY, 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 DROPBOY MCP Server
Integrate DROPBOY, the advanced logistics and delivery management platform, directly into your AI workflow. Manage your inbound and outbound delivery orders, track fleet vehicles and their operational status, monitor driver assignments and route history, and oversee your entire logistics operation using natural language.
The Vercel AI SDK gives every DROPBOY 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
- Order Oversight — List and retrieve detailed information and real-time status for all your logistics and delivery orders.
- Fleet Intelligence — Monitor fleet vehicles, including types, capacities, and current operational statuses across your organization.
- Driver Management — Track driver profiles, contact details, and active vehicle assignments to ensure efficient fulfillment.
- Logistics Auditing — Retrieve high-level summaries of fleet activity, delivery success rates, and active in-progress shipments.
The DROPBOY 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 DROPBOY to Vercel AI SDK via MCP
Follow these steps to integrate the DROPBOY 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 DROPBOY and passes them to the LLM
Why Use Vercel AI SDK with the DROPBOY MCP Server
Vercel AI SDK provides unique advantages when paired with DROPBOY 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 DROPBOY integration everywhere
Built-in streaming UI primitives let you display DROPBOY 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
DROPBOY + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the DROPBOY MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query DROPBOY in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate DROPBOY tools and return structured JSON responses to any frontend
Chatbots with tool use: embed DROPBOY capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with DROPBOY through natural language queries
DROPBOY MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect DROPBOY to Vercel AI SDK via MCP:
get_driver_profile
Get full profile and route history for a specific driver
get_dropboy_account_metadata
Retrieve metadata and limits for your DROPBOY account
get_order_details
Get detailed information and real-time status for a specific order
list_active_deliveries
Identify orders that are currently in the "In Progress" or "Out for Delivery" status
list_fleet_drivers
List all drivers registered in your DROPBOY organization
list_fleet_vehicles
List all vehicles registered in your DROPBOY fleet
list_latest_logistics_orders
Identify the most recently created delivery orders
list_logistics_orders
List all logistics and delivery orders in your DROPBOY account
quick_fleet_status_audit
Retrieve a high-level summary of fleet activity and vehicle availability
search_logistics_orders
Search for orders using an order number or delivery address
Example Prompts for DROPBOY in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with DROPBOY immediately.
"List all active delivery orders."
"Show me the status of our fleet vehicles."
"Search for order 'ORD-9988'."
Troubleshooting DROPBOY MCP Server with Vercel AI SDK
Common issues when connecting DROPBOY to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDROPBOY + Vercel AI SDK FAQ
Common questions about integrating DROPBOY 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 DROPBOY 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 DROPBOY to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.