How to Use the Mercado Livre Interactions MCP in OpenAI Agents SDK

Q: Can I use Mercado Livre Interactions with OpenAI Agents SDK for automated replies?

Yes. You can use the answerquestion tool to send replies through your agent. Make sure to define your guardrails so the agent only sends approved, accurate responses.

Q: Does Mercado Livre Interactions support monitoring my reputation in OpenAI Agents SDK?

Absolutely. You can call getreputation anytime to check your current status. It gives you the exact metrics you need to keep your seller tier high.

Q: Can I filter pending inquiries using Mercado Livre Interactions and OpenAI Agents SDK?

Yes. The getquestions tool allows you to pass an optional itemid. This lets you narrow down your search and find specific questions quickly.

Manage Mercado Livre Interactions directly in your OpenAI Agents SDK production flows.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Mercado Livre Interactions MCP to OpenAI Agents SDK

Create your Vinkius account to connect Mercado Livre Interactions to OpenAI Agents SDK 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 Livre Interactions with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate buyer responses with OpenAI Agents SDK

Use `answer_question` to push replies directly to buyers without leaving your agent environment. It handles the heavy lifting of communication so your team focuses on high-level strategy. This MCP Server connects your agent to the marketplace in real-time. You cut down on manual overhead while keeping your response times tight.

Track performance metrics for OpenAI Agents SDK

Call `get_metrics` to pull raw performance data into your agent's reasoning engine. You see exactly how your store is performing at any given moment. Combine this with `get_reputation` to watch your seller status. You get a clear view of your standing without digging through dashboard tabs.

Review buyer conversations in OpenAI Agents SDK

Run `get_questions` to pull a list of pending inquiries that need your attention. You can then use `get_messages` to read the full context of a sale before you act. This workflow ensures your agent has the full history for every ticket. You stop guessing and start resolving issues based on the facts.

Setup guide

Set up Mercado Livre Interactions MCP in OpenAI Agents SDK

Prerequisites

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

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Mercado Livre Interactions tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Mercado Livre Interactions tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Mercado Livre Interactions tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Mercado Livre Interactions Agent",
            instructions="You have access to Mercado Livre Interactions tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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 Livre. 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 Livre Interactions 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 Livre Interactions MCP in OpenAI Agents SDK

Yes. You can use the `answer_question` tool to send replies through your agent. Make sure to define your guardrails so the agent only sends approved, accurate responses.

The server connects via HTTP to pull data into your agent. It grabs fresh info whenever you call the tools, keeping your agent updated in real-time.

Your data stays private and is only accessed when your agent triggers a specific tool call. We handle connections through a secure, ephemeral sandbox environment.

Absolutely. You can call `get_reputation` anytime to check your current status. It gives you the exact metrics you need to keep your seller tier high.

Yes. The `get_questions` tool allows you to pass an optional item_id. This lets you narrow down your search and find specific questions quickly.

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