How to Use the Mercado Livre Orders MCP in AutoGen

Q: Can I prevent an AutoGen agent from calling cancelorder on Mercado Livre Orders?

Yes, you can restrict the cancelorder tool to a specific supervisor agent. This ensures that only authorized agents can execute cancellations after a debate.

Q: How do I register the Mercado Livre Orders MCP tools in AutoGen?

Use the mcpservertools adapter to load the tools from the Vinkius endpoint. You then pass the tool list directly to your AssistantAgent constructor.

Let specialized AutoGen agents debate and resolve Mercado Livre shipping disputes.

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Connect Mercado Livre Orders MCP to AutoGen

Create your Vinkius account to connect Mercado Livre Orders 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 Orders with AutoGen

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Resolve Disputes via AutoGen Debates

Resolve shipping issues by letting AutoGen agents debate data from `get_shipping_info`. Instead of blindly running `cancel_order`, the agents debate whether a refund is necessary based on the feedback fetched via `get_feedback`. This prevents hasty cancellations that could hurt your seller metrics.

Validate Tracking with MCP Server Tools

Verify missing tracking information using `get_shipments` within an AutoGen agent workflow. Once the details are verified, the logistics agent calls `set_tracking` to update the platform. This multi-agent verification prevents typos and invalid tracking codes from being uploaded.

Double-Check Order Details Before Action

Protect your seller rating by calling `get_order` before any AutoGen agent triggers a cancellation. If the order is already in transit, the billing agent and the shipping agent will negotiate the best path forward. They only proceed when both agree on the status.

Setup guide

Set up Mercado Livre Orders 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 Orders 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 Orders_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Mercado Livre Orders 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 Orders_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Mercado Livre Orders 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.

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Common questions about Mercado Livre Orders MCP in AutoGen

You register the tools with your agents, and they talk to each other to solve a task. For example, one agent searches via `search_orders` and hands the order ID to another agent to check `get_shipping_info`.

Yes, you can restrict the `cancel_order` tool to a specific supervisor agent. This ensures that only authorized agents can execute cancellations after a debate.

Use the `mcp_server_tools` adapter to load the tools from the Vinkius endpoint. You then pass the tool list directly to your AssistantAgent constructor.

You should set a maximum turn limit on your agent conversations. This prevents them from repeatedly calling `get_order` and burning through your API rate limits.

All customer names, tracking codes, and order values are routed through zero-trust, isolated runtimes. Vinkius ensures this data is never cached or exposed to external LLM logging systems.

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