How to Use the vote.direct MCP in Google ADK
Audit electoral records using your Google ADK agent system.
Works with every AI agent you already use
…and any MCP-compatible client
Connect vote.direct MCP to Google ADK
Create your Vinkius account to connect vote.direct 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.
Gather specific ballot information with the MCP Server
The `get_ballot_information` tool lets you retrieve full ballot details by specifying both an election and a physical address. This function provides structured data that your Gemini models can process alongside BigQuery records. When building enterprise agents, having this specific voter-level context allows you to enrich historical voting patterns with current, actionable facts.
Check the operational status of vote.direct
Start by calling `check_api_status`. This simple call confirms the entire MCP Server is online and ready for data ingestion into Vertex AI. It's a necessary first step before running complex, long-context queries. If the service fails this check, your agent knows immediately to halt processing, saving expensive compute time on Google Cloud.
Identify polling locations via MCP Server
Use `get_polling_locations` and provide an address. The tool returns a list of active voting sites near that location. This output can then be passed into your Gemini model for geo-spatial analysis. It’s perfect for agents needing to map out voter access points across large, complex data sets.
Set up vote.direct MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 vote.direct tools in your ADK agent.
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="vote.direct_agent",
model="gemini-2.0-flash",
instruction="You have access to vote.direct 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 vote.direct. 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 vote.direct MCP in Google ADK
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