DCL Logistics 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 DCL Logistics through the 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 DCL Logistics, 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 DCL Logistics MCP Server
Integrate DCL Logistics, the leader in third-party logistics (3PL) and fulfillment, directly into your AI workflow. Manage your fulfillment orders, track shipments in real-time, and monitor warehouse inventory levels using natural language.
The Vercel AI SDK gives every DCL Logistics tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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 statuses for all your fulfillment orders across DCL facilities.
- Shipment Tracking — Track recent shipments, access carrier details, and monitor delivery progress.
- Inventory Management — Check real-time stock levels for your SKUs and identify low-stock items.
- Return Processing — Monitor customer returns (RMAs) and their processing status directly via chat.
The DCL Logistics 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 DCL Logistics to Vercel AI SDK via MCP
Follow these steps to integrate the DCL Logistics 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 DCL Logistics and passes them to the LLM
Why Use Vercel AI SDK with the DCL Logistics MCP Server
Vercel AI SDK provides unique advantages when paired with DCL Logistics 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 DCL Logistics integration everywhere
Built-in streaming UI primitives let you display DCL Logistics 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
DCL Logistics + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the DCL Logistics MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query DCL Logistics in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate DCL Logistics tools and return structured JSON responses to any frontend
Chatbots with tool use: embed DCL Logistics capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with DCL Logistics through natural language queries
DCL Logistics MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect DCL Logistics to Vercel AI SDK via MCP:
get_account_details
Returns account-level metadata such as company name, service tier, and active warehouse assignments. Retrieve metadata for your DCL Logistics account
get_order_details
Resolves line item details, recipient addresses, and the complete audit trail of order processing events. Get detailed information for a specific order
get_shipment_details
Resolves carrier-level status updates, estimated delivery dates, and proof of delivery (if available). Get tracking and shipping details for a specific shipment ID
get_sku_inventory_status
Provides a detailed breakdown of inventory status, including warehouse locations and any pending stock movements. Get current stock level and status for a specific SKU
list_customer_returns
Returns a list of Return Merchandise Authorizations (RMAs) including return reason, status of the returned goods, and credit processing info. List all processed and pending customer returns (RMAs)
list_fulfillment_orders
Returns order metadata including system IDs, current fulfillment status, and customer identifiers. List all fulfillment orders in your DCL account
list_low_stock_items
Identifies SKUs where the available quantity has fallen below the defined reorder point (e.g., < 10 units). Identify items with inventory levels below a threshold (mock logic)
list_recent_shipments
Returns a collection of shipment objects with associated carrier info, tracking numbers, and departure timestamps. List all shipments processed by DCL
list_warehouse_inventory
Returns a list of SKUs with their total on-hand, available, and reserved quantities. List current inventory levels across all items
search_orders_by_keyword
Matches keywords against order references, customer names, and shipping addresses to isolate specific fulfillment records. Search for orders using a keyword or customer name
Example Prompts for DCL Logistics in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with DCL Logistics immediately.
"List all fulfillment orders that are 'Awaiting Shipment'."
"What is the inventory status for SKU 'WR-9988'?"
"Show me the tracking details for shipment 'SHP-1001'."
Troubleshooting DCL Logistics MCP Server with Vercel AI SDK
Common issues when connecting DCL Logistics to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDCL Logistics + Vercel AI SDK FAQ
Common questions about integrating DCL Logistics 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 DCL Logistics with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python framework for orchestrating collaborative AI agent crews.
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect DCL Logistics to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.