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How to Use the Zippopotam.us Alternative MCP in Google ADK

Integrate reliable location lookups into your enterprise pipelines using the Google ADK.

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Google ADK

Connect Zippopotam.us Alternative MCP to Google ADK

Create your Vinkius account to connect Zippopotam.us Alternative 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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Geo-lookup via postal code (MCP Server)

Need to validate a zip code against coordinates? The `get_location_by_postal_code` tool gives you city, state, and precise geo-data. This works great when your agents are processing data stored in BigQuery. It lets your enterprise models enrich records that only contain partial address information.

Bulk postal code retrieval (MCP Server)

If you have a list of cities and states, `get_postal_codes_by_city` grabs all the associated zip codes. This is perfect for massive data sets your agents are analyzing in Vertex AI. It ensures that every record gets correctly matched to its full set of potential postal identifiers.

Using Zippopotam.us Alternative with Google ADK

The MCP Server offers two solid tools: finding location details from a zip, or listing zips from a city/state combo. Your agent uses these to act on structured data flowing through the Google Cloud ecosystem. You can chain these calls within your long-context reasoning process for deep data validation.

Setup guide

Set up Zippopotam.us Alternative 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 Zippopotam.us Alternative 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="Zippopotam.us Alternative_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Zippopotam.us Alternative 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 Zippopotam.us. 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 Zippopotam.us Alternative MCP in Google ADK

You pass the MCP toolset to the LlmAgent constructor within your Google Cloud environment. Because it supports HTTP transport, it integrates cleanly into existing enterprise pipelines.
Yes. You can use `get_location_by_postal_code` to verify coordinates against a given zip. This level of detail helps keep your BigQuery data clean before analysis.
Use the toolset for both `get_location_by_postal_code` and `get_postal_codes_by_city`. This gives your agent full coverage, letting it validate records whether starting from a zip or starting from city/state.
It's an excellent fit because its output is structured and reliable, making it easy to consume in your long-context Gemini models and write directly back into BigQuery.
The server deals with geographic and postal code data, including city names, state abbreviations, zip codes, and coordinate pairs (latitude/longitude).

Start using the Zippopotam.us Alternative MCP today

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