AfterShip Returns MCP Server for Vercel AI SDK 4 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect AfterShip Returns 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 AfterShip Returns, 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 AfterShip Returns MCP Server
Connect your AfterShip Returns account to your AI agent to unlock professional returns management and customer experience orchestration. From auditing pending return requests to approving RMAs and generating shipping labels, your agent handles your reverse logistics through natural conversation.
The Vercel AI SDK gives every AfterShip Returns tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 4 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
- Return Request Management — List and audit return requests from customers and check their approval status
- RMA Orchestration — Retrieve detailed technical metadata for specific RMAs, including item details and reasons for return
- Label Generation Support — Monitor shipment creation and retrieve tracking information for return packages
- Logistics Oversight — Mark items as received and grade their condition to streamline your warehouse workflow
- Process Insights — Quickly identify common return reasons or identify bottlenecks in your return policy directly from chat
The AfterShip Returns MCP Server exposes 4 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 AfterShip Returns to Vercel AI SDK via MCP
Follow these steps to integrate the AfterShip Returns 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 4 tools from AfterShip Returns and passes them to the LLM
Why Use Vercel AI SDK with the AfterShip Returns MCP Server
Vercel AI SDK provides unique advantages when paired with AfterShip Returns 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 AfterShip Returns integration everywhere
Built-in streaming UI primitives let you display AfterShip Returns 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
AfterShip Returns + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the AfterShip Returns MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query AfterShip Returns in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate AfterShip Returns tools and return structured JSON responses to any frontend
Chatbots with tool use: embed AfterShip Returns capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with AfterShip Returns through natural language queries
AfterShip Returns MCP Tools for Vercel AI SDK (4)
These 4 tools become available when you connect AfterShip Returns to Vercel AI SDK via MCP:
approve_return
This allows the customer to ship the item back. Authorize a pending return request to immediately trigger generating the return shipping label
get_return_details
Retrieve the granular items, return reasons, and current logistics status for a specific RMA
list_returns
Retrieve pending or historical customer return requests and their processing statuses
receive_items
Record the arrival and physical grading condition of returned items arriving at the warehouse
Example Prompts for AfterShip Returns in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with AfterShip Returns immediately.
"List all pending return requests from the last 48 hours."
"Approve return request ID 'ret_abc123'."
"Show me details for RMA number 'RMA-98765'."
Troubleshooting AfterShip Returns MCP Server with Vercel AI SDK
Common issues when connecting AfterShip Returns to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAfterShip Returns + Vercel AI SDK FAQ
Common questions about integrating AfterShip Returns 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 AfterShip Returns 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.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 AfterShip Returns to Vercel AI SDK
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.