How to Use the Google Civic Information MCP in Google ADK

Q: What happens if an address is not found by the server?

The getrepresentativesbyaddress tool returns an empty list or an error code. Your agent can catch this and ask the user for a corrected address format.

Ground your Gemini enterprise agents with real-time political data using the Google Civic Information MCP Server.

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Connect Google Civic Information MCP to Google ADK

Create your Vinkius account to connect Google Civic Information 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 Google Civic Information with Google ADK

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Fetch local representatives via Google ADK

The `get_representatives_by_address` tool queries political divisions and outputs local, state, and federal representatives for any US address. Your Gemini agents use this tool to map user inputs to specific congressional districts. Because the ADK handles long contexts, your agent can process thousands of addresses from BigQuery, run them through this tool, and compile a structured report of regional political leadership in a single run.

Retrieve active voter details

The `get_voter_information` tool extracts polling locations, early voting sites, and ballot drop-box locations. It matches street addresses with official government election registries to return accurate logistics. Your agent uses `get_google_civic_elections` to find relevant election IDs first. Once retrieved, the agent passes the ID and address to get the exact voter details, bypassing manual database joins.

Validate electoral divisions and status

The `search_civic_divisions` tool searches the Open Civic Data database to find matching division IDs by name or location. This lets your agent map custom geographic names to standardized political boundaries. Before running these lookups, the agent runs `check_api_status` to confirm the endpoint is fully responsive. This prevents pipeline breaks when processing high-volume batch jobs in Google Cloud.

Setup guide

Set up Google Civic Information 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 Google Civic Information 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="Google Civic Information_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Google Civic Information tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Google Civic Information. 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 Google Civic Information MCP in Google ADK

Initialize the toolset using the streamable HTTP transport class. Pass the endpoint to your Gemini agent, which automatically parses the five civic tools.

Yes. You can pass a list of specific tool names to the ADK toolset constructor to restrict your agent's access to only the endpoints you need.

Absolutely. Your agent can read addresses from BigQuery, query the MCP Server tools, and write the structured representative data back to your cloud warehouse.

The `get_representatives_by_address` tool returns an empty list or an error code. Your agent can catch this and ask the user for a corrected address format.

Address strings are processed in memory within our secure V8 sandbox. The data is transmitted over encrypted HTTPS directly to the Google Civic API and is never cached.

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