How to Use the AfterShip Returns MCP in Vercel AI SDK

Q: How do I list returns from AfterShip Returns using the Vercel AI SDK?

Pass the listreturns tool to streamText or generateText. The Vercel AI SDK will stream the return data directly, which you can then render into your React or Svelte components. Your UI will update in real-time as the data arrives.

Q: Can I approve an AfterShip Return with the Vercel AI SDK?

Yes. Call the approvereturn tool with the specific RMA ID. This action authorizes the return in AfterShip and triggers the label generation process. You can build a simple button in your UI to do this.

Q: What's the setup for connecting AfterShip Returns to my Vercel AI SDK project?

First, run npm install @ai-sdk/mcp. Then, create a client with createMCPClient using your Vinkius endpoint URL. You'll pass the tools from mcpClient.tools() to your AI generation function to get started.

Q: Is this MCP Server just for reading data?

No, it performs actions, too. You can read data with listreturns and getreturndetails, but you also change state by approving returns with approvereturn and logging received items with receiveitems.

Build a live returns management dashboard in your Next.js app with the Vercel AI SDK and AfterShip Returns.

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Connect AfterShip Returns MCP to Vercel AI SDK

Create your Vinkius account to connect AfterShip Returns 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 AfterShip Returns with Vercel AI SDK

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A Live Returns Dashboard

Connect the `list_returns` tool directly to your UI. As your agent fetches return requests, the Vercel AI SDK streams the data right into your React components. Your support team sees the list populate in real-time—no spinners, no waiting for the full list to load. You can build custom dashboards that show pending RMAs, their current status, and customer information. Filter by status or date range. The data appears as it's found, giving your team an instant, live view of the entire returns queue.

Drill Down into RMAs Instantly

Use the `get_return_details` tool to fetch the specifics of a single return. Your agent can pull up item details, return reasons, and tracking status on command. Because the SDK streams everything, this information appears piece by piece in your UI, making the interface feel incredibly responsive. This is perfect for a customer service portal. When a support agent clicks a return, the details stream in. They see exactly what's being returned and why, then use `approve_return` to authorize it with a single click, all from your custom frontend.

Connect Your MCP Server to Warehouse Ops

Link your warehouse operations directly to your returns system. When a package arrives, a warehouse worker can trigger an agent that uses the `receive_items` tool. This action immediately updates the return's status in AfterShip, keeping everyone in sync. Build a simple tablet interface for this process. A button press calls the tool, and the system updates instantly. You eliminate manual data entry and stop worrying about syncing different platforms. It just works.

Setup guide

Set up AfterShip Returns 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 AfterShip Returns 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 AfterShip Returns 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 AfterShip Returns. 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 AfterShip Returns MCP in Vercel AI SDK

Pass the `list_returns` tool to `streamText` or `generateText`. The Vercel AI SDK will stream the return data directly, which you can then render into your React or Svelte components. Your UI will update in real-time as the data arrives.

Yes. Call the `approve_return` tool with the specific RMA ID. This action authorizes the return in AfterShip and triggers the label generation process. You can build a simple button in your UI to do this.

First, run `npm install @ai-sdk/mcp`. Then, create a client with `createMCPClient` using your Vinkius endpoint URL. You'll pass the tools from `mcpClient.tools()` to your AI generation function to get started.

No, it performs actions, too. You can read data with `list_returns` and `get_return_details`, but you also change state by approving returns with `approve_return` and logging received items with `receive_items`.

Your Vinkius endpoint token authenticates all requests. The server only processes data related to RMAs and customer return requests. All connections use HTTPS, and the server runs in an ephemeral, sandboxed environment, so your data isn't stored after the operation completes.

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