Mercado Libre for Openclaw

A professional integration allowing AI agents to manage Mercado Libre marketplace data, orders, and listings through a secure, automated CLI interface.

gora050
v1.0.1
May 1, 2026
0
396
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install mercado-libre-integration

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install mercado-libre-integration using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Mercado Libre?

The Mercado Libre skill enables developers to connect their AI coding agents directly to the largest online marketplace in Latin America. By utilizing Openclaw Skills, this integration simplifies the complexities of the Mercado Libre API, providing a high-level interface for managing records, products, and user data. It acts as a bridge that handles the heavy lifting of authentication and API communication.

Built on top of the Membrane framework, this skill ensures that Openclaw Skills can operate efficiently by using pre-built actions that reduce token usage and improve reliability. Whether you are building an automated storefront manager or a customer data research tool, this skill provides the necessary infrastructure to interact with Mercado Libre without manual credential management.

Mercado Libre Use Cases

  • Automating the creation and updating of product listings across Mercado Libre regions.
  • Building AI agents that can retrieve and summarize sales records and order history.
  • Developing market analysis tools that list and compare product data using Openclaw Skills.
  • Streamlining customer support workflows by fetching real-time shipping and transaction details.
  • Synchronizing inventory data between Mercado Libre and external databases via AI-driven automation.

How Mercado Libre Works

  1. The process begins by installing the Membrane CLI, which serves as the execution environment for the skill.
  2. The user authenticates the AI agent to establish a secure session with the marketplace backend.
  3. A connection is ensured for the specific Mercado Libre domain, which handles OAuth and token persistence automatically.
  4. The AI agent uses natural language intent discovery to find the most relevant actions for the task at hand within the Openclaw Skills framework.
  5. Actions are executed with JSON parameters, or direct proxy requests are sent to the API for advanced custom requirements.

Mercado Libre Setup

First, install the necessary CLI tool via npm:

npm install -g @membranehq/cli@latest

Next, authenticate your environment. For users of Openclaw Skills, specify your agent type during login:

membrane login --tenant --clientName=openclaw

Create a connection to the Mercado Libre platform:

membrane connection ensure "https://www.mercadolibre.com/" --json

If the connection state is not immediately READY, use the wait flag to poll for completion:

membrane connection get <connection_id> --wait --json

Mercado Libre Data Schema & Taxonomy

The skill organizes interaction through a structured schema that categorizes Mercado Libre entities as Records.

Entity Description Supported Operations
Records Primary marketplace data including items and users create, read, update, delete, list
Actions Pre-defined functional templates for the API list, run
Connections Authentication and session metadata ensure, get, list

All data exchanged via Openclaw Skills is returned in standard JSON format, allowing for seamless parsing by LLMs and secondary processing scripts.

Mercado Libre Advanced Features

  • Transparent credential refresh that eliminates the need for manual API key management.
  • Intent-based action discovery allowing agents to find tools using natural language descriptions.
  • Direct API proxying with automatic header injection and base URL normalization.
  • Support for headless environment authentication via manual code entry.
  • Optimized data fetching designed to minimize token consumption for Openclaw Skills users.
  • Asynchronous connection polling with built-in timeout and state management.

SKILL.md


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