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How to Use the Georef Argentina MCP in Google ADK

Feed official Argentine geographic data directly to your Gemini enterprise agents with the Google ADK integration.

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Google ADK

Connect Georef Argentina MCP to Google ADK

Create your Vinkius account to connect Georef Argentina 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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Structure raw logistics data inside Google ADK

Your Gemini models can resolve messy geographic text files by calling `normalize_direccion` directly. This translates unformatted street addresses into clean, structured components that align with your existing BigQuery tables. This MCP Server connection lets your agent clean thousands of warehouse delivery records without manual Python scripts. The model reasons through messy strings and verifies them against official government records in real time.

Build geographic hierarchies for Vertex AI

Enterprise models need structured boundaries to make accurate routing decisions. By invoking `get_provincias` and `get_departamentos`, your agent maps out the exact administrative hierarchy of any Argentine territory. This prevents the model from hallucinating non-existent municipal relationships. Gemini uses these tools to cross-reference coordinates with official boundaries, making your automated logistics dispatching highly reliable.

Resolve delivery coordinates on the fly

When processing IoT telemetry data, your agent needs to know where a vehicle stopped. This MCP Server lets your agent execute `reverse_geocoding` to translate GPS coordinates into official Argentine localities. The agent then queries `get_localidades` or `get_municipios` to determine the exact tax zone of the delivery. This keeps your billing systems accurate without requiring external GIS software.

Setup guide

Set up Georef Argentina 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. 1

    Install Google ADK

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

  2. 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. 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. 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 Georef Argentina 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="Georef Argentina_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Georef Argentina 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 Georef Argentina. 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 Georef Argentina MCP in Google ADK

You initialize `McpToolset` with the HTTP URL of your Vinkius server. Pass this toolset into the `LlmAgent` constructor, and your Gemini model will immediately gain access to tools like `normalize_direccion`.
Gemini has a massive context window that easily processes large lists returned by `get_localidades` or `get_vias`. The model can analyze thousands of street names in a single reasoning step to find the exact match you need.
Commercial geocoders often misclassify official Argentine administrative divisions. This MCP Server connects directly to government databases, ensuring your Google ADK agent gets exact legal boundaries for provinces and municipalities.
Use the optional `tool_names` filter when creating your `McpToolset`. If you only want the agent to handle coordinates, restrict it to `reverse_geocoding` and block administrative tools like `get_departamentos`.
Vinkius executes this server in an isolated sandbox where data is processed ephemerally. Address strings sent to `normalize_direccion` are proxied directly to the official government API, ensuring no sensitive location data is cached or stored.

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