How to Use the Mercado Livre Interactions MCP in Google ADK
Connect Mercado Livre Interactions to your Google ADK enterprise agents.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Mercado Livre Interactions MCP to Google ADK
Create your Vinkius account to connect Mercado Livre Interactions 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.
Direct Mercado Livre Interactions via Google ADK
Integrate `answer_question` into your Google ADK pipelines to handle buyer support at scale. Your agents process inquiries as they arrive. This setup keeps your communication workflow inside your cloud environment. You move data between the marketplace and your infrastructure without extra steps.
Access seller analytics in Google ADK
Use `get_metrics` to feed performance data into your existing analytics workflows. You get a real-time pulse on your shop's health. Running `get_reputation` alongside your internal metrics gives you a complete picture. You track your growth trends without leaving your agent console.
Manage buyer threads within Google ADK
Use `get_messages` to retrieve full conversation history for any sale. Your agents read the thread and decide the next move based on the actual discussion. Pulling pending items with `get_questions` ensures no inquiry sits unanswered. Your agent stays on top of your queue automatically.
Set up Mercado Livre Interactions MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 Livre Interactions tools in your ADK agent.
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 Livre Interactions_agent",
model="gemini-2.0-flash",
instruction="You have access to Mercado Livre Interactions tools via MCP.",
tools=mcp_tools,
) 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.
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 Google ADK
Use it with your favorite AI tools
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