How to Use the Mercado Livre Catalog MCP in AutoGen

Q: How do AutoGen agents search the Mercado Livre Catalog?

Agents invoke the searchitems tool during their conversation. They share the output, allowing all participating agents to see the same listing data.

Use AutoGen agents to debate and finalize price changes for your items in the Mercado Livre Catalog.

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Connect Mercado Livre Catalog MCP to AutoGen

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

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Multi-agent negotiation for the Mercado Livre Catalog

Set up a pricing agent and a compliance agent. They call `get_item` to evaluate current trends and debate whether to adjust prices via `update_price`. This prevents hasty decisions. The agents challenge each other until they reach a consensus that fits your business rules.

Automated listing lifecycle in AutoGen

Create a workflow where an agent monitors inventory levels using `update_stock`. When stock hits a threshold, another agent prepares a `create_item` request for a new listing. They coordinate the process from start to finish. You only need to review the final outcome of their discussion.

Robust error handling with AutoGen agents

When an agent attempts `update_item` and hits a platform error, it reports back to the conversation. A second agent reviews the error code and suggests a fix. They iterate until the update succeeds. This keeps your catalog healthy without you needing to manually debug every failed transaction.

Setup guide

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

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

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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 Catalog_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Mercado Livre Catalog 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 Catalog MCP in AutoGen

Agents invoke the `search_items` tool during their conversation. They share the output, allowing all participating agents to see the same listing data.

Yes, you can configure your agents to iterate through a list of IDs. They perform `get_item` on each and propose batch actions.

The MCP tools integrate directly into the assistant's toolkit. Your agents can debate the tool outputs as part of their standard conversation flow.

The server requires a single endpoint token from Vinkius. Your agents never see your actual API keys, as we handle the authentication handshake internally.

We use the V8 Isolate Sandbox to process all requests. This ensures your private price and stock numbers remain isolated from other users.

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