How to Use the Correios API (REST) MCP in Google ADK

Feed real-time Correios shipping data directly into Gemini long-context runs using the Google ADK.

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Connect Correios API (REST) MCP to Google ADK

Create your Vinkius account to connect Correios API (REST) 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 Correios API (REST) with Google ADK

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Expose Correios tools directly to Google ADK agents

The `calculate_price_deadline` tool connects Gemini directly to official Brazilian shipping databases to extract live freight costs. Your agent reads destination zip codes and package parameters to return exact delivery estimates. You configure this connection using the McpToolset class inside your Google Cloud environment. This structure allows Gemini to invoke the tool mid-reasoning whenever a user asks about shipping costs.

Analyze high-volume tracking histories in BigQuery

The `track_object` tool retrieves the step-by-step transit history of Brazilian parcels. Gemini digests this status data and correlates it with your existing logistics logs stored in BigQuery. Because Gemini handles long-context inputs, you can pass months of Correios tracking outputs into a single prompt. The agent identifies patterns in shipping delays without hitting token limits.

Filter MCP Server tools for enterprise security

The `calculate_price_deadline` tool can be isolated or grouped depending on your specific agent roles. You use the tool_names filter to restrict what Gemini can execute inside your MCP Server environment. Restricting tools prevents your customer-facing agents from accessing internal logistics endpoints. You maintain a clean security boundary while still giving agents access to the exact shipping data they need.

Setup guide

Set up Correios API (REST) 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 Correios API (REST) 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="Correios API (REST)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Correios API (REST) tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Correios. 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 Correios API (REST) MCP in Google ADK

Import the McpToolset module and pass your Vinkius HTTP server parameters directly to it. You then register this toolset in your LlmAgent constructor.

Yes, this toolset supports both Stdio and HTTP transports. You select the transport type when defining your server parameters in Python.

If the Correios API returns an error, the MCP Server passes the raw failure message back to Gemini. The model reads the error text and adjusts its response or retries the query.

Yes, Gemini keeps the tool schemas in its context window throughout the conversation. The model calls `calculate_price_deadline` whenever it detects a shipping query in your prompt history.

Your Brazilian tracking codes and destination zip codes travel through encrypted TLS channels directly to the official Correios endpoints. Vinkius processes these transactions in ephemeral MCP Server memory, ensuring no shipping history is written to persistent storage.

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