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Loop MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Add Internal Note, Get Feedback Details, Get Me, and more

Built by Vinkius GDPR 10 Tools SDK

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

Ask AI about this App Connector for Vercel AI SDK

The Loop app connector for Vercel AI SDK is a standout in the Ecommerce category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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

main();
Loop
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* 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 Loop MCP Server

Connect your Loop account to any AI agent and manage returns through natural conversation.

The Vercel AI SDK gives every Loop 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

  • Return Tracking — Browse return requests with status and reason codes
  • Exchange Management — Track product exchanges and new order creation
  • Refund History — Monitor refunds with amounts and processing status
  • Return Analytics — Access return rates, top reasons, and trend data
  • Customer Returns — View return history per customer

The Loop 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.

All 10 Loop tools available for Vercel AI SDK

When Vercel AI SDK connects to Loop through Vinkius, your AI agent gets direct access to every tool listed below — spanning returns-management, refund-automation, exchange-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

add_internal_note

Add an internal note to a feedback item

get_feedback_details

Get details of a specific feedback item

get_me

Get account information

get_sentiment_metrics

Get overall sentiment analytics

get_ticket_details

Get details of a developer ticket

list_dev_tickets

List AI-generated developer tickets

list_feedback

List customer feedback items in Loop

list_feedback_sources

) providing feedback. List integrated feedback sources

list_feedback_themes

List recurring feedback themes

list_projects

List projects in Loop

Connect Loop to Vercel AI SDK via MCP

Follow these steps to wire Loop into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 10 tools from Loop and passes them to the LLM

Why Use Vercel AI SDK with the Loop MCP Server

Vercel AI SDK provides unique advantages when paired with Loop 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 Loop integration everywhere

03

Built-in streaming UI primitives let you display Loop 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

Loop + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Loop in Vercel AI SDK

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

01

"Show return requests from this week and top return reasons."

02

"Show return analytics and products with highest return rates."

03

"Show return history for customer sarah@company.com and pending refunds."

Troubleshooting Loop MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Loop + Vercel AI SDK FAQ

Common questions about integrating Loop 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.