How to Use the 99Minutos Express MCP in Google ADK

Connect your Google ADK agents to live LatAm logistics and courier networks.

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Connect 99Minutos Express MCP to Google ADK

Create your Vinkius account to connect 99Minutos Express 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.

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Setup 99Minutos Express with Google ADK

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Google ADK tools for courier management

Link your agent to `create_store` to define new fulfillment nodes in your supply chain. The agent registers these physical spots directly in the logistics database. Query `list_stores` to confirm active warehouse locations. Your agent knows exactly where your stock sits at any given moment.

Advanced tracking via Google ADK

Feed `get_tracking` results into your Gemini context for deep analysis. You trace vehicle movement patterns across your entire delivery fleet. Monitor `list_return_orders` to handle customer returns automatically. Your agent processes reverse logistics without manual intervention.

Event-driven shipping with Google ADK

Configure `create_webhook` to receive delivery status changes in real time. Your agent reacts instantly when a package hits a new milestone. Scan your infrastructure with `list_webhooks` to ensure all delivery endpoints are live. You keep your agent synced with the latest shipment events.

Setup guide

Set up 99Minutos Express MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(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 99Minutos Express tools in your ADK agent.

agent.py

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="99Minutos Express_agent",
    model="gemini-2.0-flash",
    instruction="You have access to 99Minutos Express tools via MCP.",
    tools=mcp_tools,
)

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Common questions about 99Minutos Express MCP in Google ADK

Install the package and pass the server parameters to McpToolset. This maps the delivery tools directly into your agent's logic.

You can restrict which tools the agent accesses by using the tool_names filter. This keeps your agent focused on specific logistics tasks.

Yes, the server provides the precise data your model needs for long-form logistics planning. It handles the heavy lifting while you manage the strategy.

Data flows through a secure, isolated sandbox environment. Your delivery details remain isolated from other agent processes.

The server shares tracking status, order history, and warehouse lists. It does not touch your broader cloud environment or private credentials.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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