How to Use the Mercado Libre MCP in Google ADK

Q: Does Google ADK work well with Mercado Libre return data?

Absolutely. You can call getreturndetails to pull specific return reasons into your agent's reasoning engine.

Q: Can I use Google ADK to fetch Mercado Libre address details?

Yes, the getuseraddresses tool provides the necessary shipping coordinates. Your agent can then verify these against your logistics data.

Q: Will Google ADK support automated Mercado Libre test users?

You can use createtestuser to spin up sandbox accounts. This allows you to test your agent's logic without touching real inventory.

Q: Can Google ADK agents predict categories on Mercado Libre?

Yes, predictcategory maps your product titles to the correct platform taxonomy. It ensures your listings are discoverable.

Scale your enterprise operations on Google ADK by connecting your Gemini agents directly to the Mercado Libre ecosystem.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Mercado Libre MCP to Google ADK

Create your Vinkius account to connect Mercado Libre to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Mercado Libre with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Analyze sales with Google ADK

Your Gemini-powered agent pulls deep insights from your store using `get_order` and `search_orders`. You can pipe this output directly into your existing BigQuery data pipelines. It turns raw transaction logs into actionable intelligence. The agent understands your sales velocity and alerts you when stock levels drop.

Streamline post-sale support

The `get_post_sale_messages` tool brings customer conversations into your agent's context window. You can reply instantly using `send_post_sale_message`. It keeps the conversation flowing without context switching. The agent manages the back-and-forth so your team only steps in for complex issues.

Sync inventory with Google infrastructure

Use `get_sale_price` and `get_promotion_candidate` to dynamically adjust your pricing strategy. The agent evaluates if your items qualify for platform discounts. This creates a feedback loop between your pricing data and your live listings. You maintain competitive edge by reacting to market changes in real time.

Setup guide

Set up Mercado Libre MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Mercado Libre tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Mercado Libre_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Mercado Libre tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mercado Libre. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Mercado Libre now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Mercado Libre MCP in Google ADK

Absolutely. You can call `get_return_details` to pull specific return reasons into your agent's reasoning engine.

Yes, the `get_user_addresses` tool provides the necessary shipping coordinates. Your agent can then verify these against your logistics data.

All requests pass through a zero-trust architecture. We use ephemeral authentication tokens that expire immediately after your task completes.

You can use `create_test_user` to spin up sandbox accounts. This allows you to test your agent's logic without touching real inventory.

Yes, `predict_category` maps your product titles to the correct platform taxonomy. It ensures your listings are discoverable.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

Start using the Mercado Libre MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Get started