How to Use the ZIP Codes API MCP in Google ADK

Q: How do I search for locations using ZIP Codes API with Google ADK?

You should start by calling findzipsbystate if you know the state but not the city. This gives you a full list of codes to query further in BigQuery. Once you have the initial set, your agent can filter and analyze that data using Gemini's massive context window.

Q: Can I use ZIP Codes API with Google ADK for radius searches?

Yes. The findzipsinradius tool finds all codes within a specific mile radius of a starting code. This is perfect for defining service areas. Your agent uses this list to scope down massive datasets in BigQuery, cutting out irrelevant records instantly.

Q: What kind of details can I pull with ZIP Codes API and Google ADK?

The getzipdetails tool gives you geographic and demographic facts for any code. This data type is ready to be integrated into your enterprise models. It allows Gemini to reason about populations, not just count them.

Q: Does Google ADK support using ZIP Codes API for county searches?

Sure. Use findzipsbycounty to restrict your search to a specific county's codes. This narrows down the dataset significantly before it hits BigQuery. It provides highly focused data sets for regional reports.

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Finding Zips by County with the MCP Server

To find all codes in a specific county, call `find_zips_by_county`. This tool takes a county name and returns every associated ZIP code list. Since you're building enterprise agents on Google Cloud, this output can be immediately loaded into BigQuery for bulk analysis against your existing datasets.

Analyzing Regional Data with the MCP Server

Use `find_zips_by_city` to gather all codes for a given city and state. The results can then be used by Gemini models holding 1M+ tokens for complex reasoning. Your agent doesn't just list codes; it uses the context of that full dataset—the whole city’s worth of ZIPs—to run sophisticated, multi-step reports.

Calculating Inter-Code Distances

The `get_zip_distance` function calculates distance between two codes. This mechanism is critical for logistics modeling in Google ADK. You pass the start and end ZIPs, and the agent gets a concrete number back. You can then join this output directly with BigQuery tables containing cost data.

Setup guide

Set up ZIP Codes API 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 ZIP Codes API 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="ZIP Codes API_agent",
    model="gemini-2.0-flash",
    instruction="You have access to ZIP Codes API tools via MCP.",
    tools=mcp_tools,
)

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Common questions about ZIP Codes API MCP in Google ADK

You should start by calling `find_zips_by_state` if you know the state but not the city. This gives you a full list of codes to query further in BigQuery. Once you have the initial set, your agent can filter and analyze that data using Gemini's massive context window.

Yes. The `find_zips_in_radius` tool finds all codes within a specific mile radius of a starting code. This is perfect for defining service areas. Your agent uses this list to scope down massive datasets in BigQuery, cutting out irrelevant records instantly.

The `get_zip_details` tool gives you geographic and demographic facts for any code. This data type is ready to be integrated into your enterprise models. It allows Gemini to reason about populations, not just count them.

Sure. Use `find_zips_by_county` to restrict your search to a specific county's codes. This narrows down the dataset significantly before it hits BigQuery. It provides highly focused data sets for regional reports.

This server touches location and demographic details. The system passes the codes to Gemini, which processes them against your secure BigQuery environment. You're working with aggregated spatial data within a trusted cloud boundary.

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