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Mercado Libre MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 17 tools to Answer Question, Create Item, Create Test User, and more

MCP Inspector GDPR Free for Subscribers

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Mercado Libre 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 MCP Server for Vercel AI SDK

The Mercado Libre MCP Server for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 17 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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

main();
Mercado Libre
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Mercado Libre MCP Server

Connect your Mercado Libre seller account to any AI agent to streamline your e-commerce operations through natural conversation.

The Vercel AI SDK gives every Mercado Libre tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 17 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

  • Product Listing — Predict the correct category for your items and create new listings with full attribute support
  • Order Management — Search and retrieve detailed metadata for orders, including status, payment, and buyer info
  • Logistics & Shipping — Track shipment status and monitor SLA dispatch times to protect your seller reputation
  • Customer Service — Search for buyer questions, provide answers, and manage post-sale messaging flows
  • Claims & Returns — Inspect active claims and return details to resolve customer issues efficiently
  • Price & Promos — Check sale prices and identify items eligible for promotions

The Mercado Libre MCP Server exposes 17 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 17 Mercado Libre tools available for Vercel AI SDK

When Vercel AI SDK connects to Mercado Libre through Vinkius, your AI agent gets direct access to every tool listed below — spanning marketplace, selling, customer-support, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

answer

Answer question on Mercado Libre

Answer a buyer question

create

Create item on Mercado Libre

Requires title, category_id, price, currency_id, available_quantity, buying_mode, condition, listing_type_id, and pictures. Publish a new item on Mercado Libre

create

Create test user on Mercado Libre

Create a test user

get

Get claim on Mercado Libre

Get details of a post-purchase claim

get

Get me on Mercado Libre

Get current Mercado Libre user info

get

Get order on Mercado Libre

Get details for a specific order

get

Get post sale messages on Mercado Libre

Get post-sale messages

get

Get promotion candidate on Mercado Libre

Check promotion eligibility

get

Get return details on Mercado Libre

Get details of a product return

get

Get sale price on Mercado Libre

Get the current sale price of an item

get

Get shipment on Mercado Libre

Get shipment information

get

Get shipment sla on Mercado Libre

Get shipment SLA (Service Level Agreement)

get

Get user addresses on Mercado Libre

Get addresses for a specific user

predict

Predict category on Mercado Libre

Predict category for a product title

search

Search orders on Mercado Libre

Search orders for a seller

search

Search questions on Mercado Libre

Search questions for a seller

send

Send post sale message on Mercado Libre

Send a post-sale message

Connect Mercado Libre to Vercel AI SDK via MCP

Follow these steps to wire Mercado Libre into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind 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 17 tools from Mercado Libre and passes them to the LLM

Why Use Vercel AI SDK with the Mercado Libre MCP Server

Vercel AI SDK provides unique advantages when paired with Mercado Libre 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 Mercado Libre integration everywhere

03

Built-in streaming UI primitives let you display Mercado Libre 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

Mercado Libre + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Mercado Libre in Vercel AI SDK

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

01

"Search for all 'paid' orders for seller ID 123456789."

02

"What is the shipping status and SLA for shipment 405928374?"

03

"Predict the best category for a 'Wireless Mechanical Keyboard' on site MLB."

Troubleshooting Mercado Libre MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Mercado Libre + Vercel AI SDK FAQ

Common questions about integrating Mercado Libre 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.

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