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

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Mercado Libre through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this MCP Server for Mastra AI

The Mercado Libre MCP Server for Mastra AI 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 { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "mercado-libre": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Mercado Libre Agent",
    instructions:
      "You help users interact with Mercado Libre " +
      "using 17 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Mercado Libre?"
  );
  console.log(result.text);
}

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.

Mastra's agent abstraction provides a clean separation between LLM logic and Mercado Libre tool infrastructure. Connect 17 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI

When Mastra AI 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 Mastra AI via MCP

Follow these steps to wire Mercado Libre into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 17 tools from Mercado Libre via MCP

Why Use Mastra AI with the Mercado Libre MCP Server

Mastra AI provides unique advantages when paired with Mercado Libre through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Mercado Libre without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Mercado Libre tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Mercado Libre + Mastra AI Use Cases

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

01

Automated workflows: build multi-step agents that query Mercado Libre, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Mercado Libre as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Mercado Libre on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Mercado Libre tools alongside other MCP servers

Example Prompts for Mercado Libre in Mastra AI

Ready-to-use prompts you can give your Mastra AI 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 Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Mercado Libre + Mastra AI FAQ

Common questions about integrating Mercado Libre MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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