How to Use the Country Data Resolver MCP in Google ADK

Q: How do I configure Country Data Resolver with Google ADK?

Instantiate McpToolset with your Vinkius HTTP transport URL in Python. Pass that toolset object directly into your Google ADK agent tool list to enable this MCP integration.

Q: Can I restrict the tools exposed by Country Data Resolver in Google ADK?

You can use the toolnames filter in your Google ADK toolset configuration to expose only the resolvecountry tool. This keeps your agent's context clean and focused on geographic resolution.

Ground your Gemini models with real-world geographic data using Country Data Resolver in your Google ADK pipelines.

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Connect Country Data Resolver MCP to Google ADK

Create your Vinkius account to connect Country Data Resolver 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 Country Data Resolver with Google ADK

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Clean up enterprise BigQuery data with Google ADK

The `resolve_country` tool converts raw alpha-2 country codes into fully qualified ISO names and alpha-3 codes. This MCP server allows your Google ADK agents to process messy database exports and standardize geographic fields before writing back to BigQuery. Your Google ADK agent reads the raw table rows, passes the codes to this server, and receives structured country data. This eliminates manual mapping scripts and ensures your enterprise dashboards use consistent country labels.

Multi-language country routing for global support

The `resolve_country` tool resolves codes into four distinct languages: English, Spanish, Portuguese, and French. Your Google ADK agent uses this output to route customer support tickets to the correct regional queue based on the resolved country name. By letting the tool handle the translation, your Google ADK agent avoids parsing mistakes. This ensures tickets from countries like Brazil or Germany get routed with the correct localized metadata every time.

Strict geographic validation for Vertex AI workflows

The `resolve_country` tool verifies that any incoming two-letter code is a valid ISO standard. This MCP server acts as an inline validator within your Vertex AI pipelines, stopping malformed country data before it hits your production models. When a Google ADK agent encounters an unrecognized country code, the tool returns a clear error. This prevents downstream processing errors and keeps your machine learning pipelines running smoothly.

Setup guide

Set up Country Data Resolver 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 Country Data Resolver 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="Country Data Resolver_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Country Data Resolver tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Country Data Resolver MCP in Google ADK

Instantiate `McpToolset` with your Vinkius HTTP transport URL in Python. Pass that toolset object directly into your Google ADK agent tool list to enable this MCP integration.

Yes, the tool fits perfectly into long-context windows. Your Google ADK agent can pass multiple country codes from a massive document to the `resolve_country` tool to build a structured geographic index.

You can use the `tool_names` filter in your Google ADK toolset configuration to expose only the `resolve_country` tool. This keeps your agent's context clean and focused on geographic resolution.

The tool returns an error indicating that the country code could not be resolved. Your agent can then flag the record or ask the user for clarification instead of guessing.

All country code resolution happens in a secure, ephemeral sandbox. We do not log or store the ISO codes or resolved country names processed by the tool, ensuring your enterprise data remains private.

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