How to Use the Mercado Livre Interactions MCP in AutoGen

Debate and automate Mercado Livre customer support using AutoGen and this MCP Server.

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Connect Mercado Livre Interactions MCP to AutoGen

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

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Setup Mercado Livre Interactions with AutoGen

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Perplexity

Debate responses with multiple agents

Assign one agent to draft a reply using `answer_question` while another validates it against your `get_metrics`. They negotiate until they find the right tone. This prevents hasty replies. The debate process ensures every response aligns with your seller reputation goals.

Negotiate issues using message history

Have your agents review the `get_messages` history before drafting a response. They can argue over the best way to handle complex shipping disputes. This brings human-like deliberation to your support. You get a consensus-based answer that considers the entire history of the sale.

Analyze reputation before acting

Use `get_reputation` to inform your agents about your current account status. If your reputation is high, they can prioritize speed; if it's low, they prioritize accuracy. It adjusts behavior based on stakes. Your system acts differently depending on the immediate health of your seller account.

Setup guide

Set up Mercado Livre Interactions MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Mercado Livre Interactions tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Mercado Livre Interactions_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Mercado Livre Interactions data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Mercado Livre Interactions_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Mercado Livre Interactions data")
    print(result.messages[-1].content)

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

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Common questions about Mercado Livre Interactions MCP in AutoGen

Use the MCP tool adapter to inject server tools into your AssistantAgent. The adapter handles schema conversion so your agents can call them immediately.

Yes. Since agents operate in the same context, they can pass tool outputs between each other to reach a final decision.

You can add a specialized manager agent to track your call count. It can pause operations if you approach your API quota.

All communication is restricted to the agents in your local conversation. No message history or seller data leaves your execution environment.

They might misinterpret the data, which is why you should have a reviewer agent check the `get_reputation` output before any final action.

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