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How to Use the CountryStateCity MCP in Google ADK

Feed global ISO and city data directly to Gemini models using the enterprise Google ADK and our MCP Server.

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CountryStateCity MCP on Cursor AI Code Editor MCP Client CountryStateCity MCP on Claude Desktop App MCP Integration CountryStateCity MCP on OpenAI Agents SDK MCP Compatible CountryStateCity MCP on Visual Studio Code MCP Extension Client CountryStateCity MCP on GitHub Copilot AI Agent MCP Integration CountryStateCity MCP on Google Gemini AI MCP Integration CountryStateCity MCP on Lovable AI Development MCP Client CountryStateCity MCP on Mistral AI Agents MCP Compatible CountryStateCity MCP on Amazon AWS Bedrock MCP Support
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Google ADK

Connect CountryStateCity MCP to Google ADK

Create your Vinkius account to connect CountryStateCity 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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Enrich BigQuery Pipelines with Google ADK

`list_countries` and `list_states` pull precise geographic metadata that your Gemini agent can join with your existing BigQuery datasets. This setup lets your enterprise agent run deep analytical queries across global markets without leaving the Google Cloud environment. Setting this up requires wrapping the server in `McpToolset` and passing it to `LlmAgent` via the `tools` argument. Because the Google ADK handles both Stdio and HTTP transports, you can deploy this pipeline securely behind your VPC.

Long-Context City Lookups via MCP Server

`list_cities_by_state` retrieves deep lists of municipalities that fit perfectly inside Gemini's 1M+ token window. Your agent processes entire regions at once, analyzing localized trends without running out of memory or losing context. You can use the optional `tool_names` filter to limit access if you only want your agent to see specific tools. This restricts the agent's scope, ensuring it only queries cities when specifically authorized.

Check Regional Operations with Vertex AI

`get_state` and `get_country` provide the baseline geographic facts your Vertex AI models need to check shipping zones and compliance regions. The model compares your internal logistics data with the real-world ISO standards returned by the server. This direct verification via MCP prevents your agent from relying on outdated, hardcoded country lists. Your enterprise application stays accurate as global boundaries and regional codes change over time.

Setup guide

Set up CountryStateCity 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 CountryStateCity 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="CountryStateCity_agent",
    model="gemini-2.0-flash",
    instruction="You have access to CountryStateCity 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 CountryStateCity. 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 CountryStateCity MCP in Google ADK

Install the package, define your server parameters with `StreamableHttpServerParameters`, and load it using `McpToolset`. Pass the toolset directly into your `LlmAgent` tool list to give Gemini access to the geography tools.
Yes, you can use the `tool_names` filter when initializing the `McpToolset`. This lets you expose only `get_country` while hiding administrative tools like `list_states` if your agent doesn't need them.
Absolutely, the Gemini model uses its massive token window to process the full output of `list_cities_by_state` in a single turn. This allows for complex regional analysis that would choke smaller, short-context models.
Yes, Vinkius manages the server endpoint securely, and Google ADK connects via standard HTTP transport. Your agent queries the geographic data through secure, authenticated channels without exposing your internal infrastructure.
No, Vinkius uses an ephemeral, zero-trust architecture to run the geography server. Your ISO lookups, city queries, and state requests are processed in memory and never written to persistent storage.

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