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Flexport Logistics MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Flexport Logistics through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
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 Flexport Logistics, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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About Flexport Logistics MCP Server

Connect your Flexport Logistics account to any AI agent and automate your e-commerce fulfillment and warehousing operations through the Model Context Protocol (MCP). Flexport Logistics (formerly Deliverr) provides a high-speed fulfillment network that ensures your customers get their orders fast. Now, you can manage orders, track real-time inventory, and handle returns directly through natural conversation.

The Vercel AI SDK gives every Flexport Logistics tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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 Fulfillment — Create and track fulfillment orders for your end customers across multiple sales channels.
  • Real-time Inventory — Check current stock levels across the entire Flexport warehouse network to avoid stockouts.
  • Inbound Management — List and monitor inbound shipments of inventory being sent to warehouses.
  • Product Catalog — Access your fulfillment product library and fetch detailed metadata for specific SKUs.
  • Return Handling — Manage customer return requests and track the status of returned items.
  • Shipping Labels — List and retrieve purchased parcel shipping labels for your e-commerce shipments.
  • Warehouse Network — Get visibility into the active warehouses in the Flexport fulfillment network.

The Flexport Logistics MCP Server exposes 12 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 Flexport Logistics to Vercel AI SDK via MCP

Follow these steps to integrate the Flexport Logistics MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 12 tools from Flexport Logistics and passes them to the LLM

Why Use Vercel AI SDK with the Flexport Logistics MCP Server

Vercel AI SDK provides unique advantages when paired with Flexport Logistics through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Flexport Logistics integration everywhere

03

Built-in streaming UI primitives let you display Flexport Logistics tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Flexport Logistics + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Flexport Logistics MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Flexport Logistics in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Flexport Logistics tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Flexport Logistics capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Flexport Logistics through natural language queries

Flexport Logistics MCP Tools for Vercel AI SDK (12)

These 12 tools become available when you connect Flexport Logistics to Vercel AI SDK via MCP:

01

create_logistics_order

Create fulfillment order

02

get_inbound

Get inbound details

03

get_logistics_order

Get order details

04

get_product

Get product details

05

get_return

Get return details

06

get_warehouse_network

List warehouses

07

list_inbounds

List inbound shipments

08

list_inventory

Check stock levels

09

list_labels

List shipping labels

10

list_logistics_orders

List fulfillment orders

11

list_products

List product catalog

12

list_returns

List customer returns

Example Prompts for Flexport Logistics in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Flexport Logistics immediately.

01

"Check the current inventory level for SKU 'SKU-999'."

02

"List all fulfillment orders that were shipped today."

03

"Show me the status of my inbound shipment 'INB-123'."

Troubleshooting Flexport Logistics MCP Server with Vercel AI SDK

Common issues when connecting Flexport Logistics to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Flexport Logistics + Vercel AI SDK FAQ

Common questions about integrating Flexport Logistics MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Flexport Logistics to Vercel AI SDK

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.