How to Use the AP Elections API MCP in Google ADK

Q: Can I restrict which AP Elections API tools my Google ADK agent can access?

Yes. Use the toolnames filter parameter in the Google ADK configuration to only expose specific tools like getelectionresults while hiding administrative tools.

Feed live AP election results directly into Gemini's million-token context using Google ADK.

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Connect AP Elections API MCP to Google ADK

Create your Vinkius account to connect AP Elections API 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 AP Elections API with Google ADK

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Feed Gemini long-context with AP Elections API MCP Server

The `get_election_results` tool injects massive, structured vote tallies directly into Google ADK's long-context window. Gemini models process these complete election datasets at once, letting your agent spot patterns across thousands of precincts. This setup bypasses the need to chunk data or run multiple retrieval steps. Your agent reads the entire election night output in one pass, ensuring highly accurate analysis without losing context.

Track API availability using your MCP Server setup

The `check_api_status` tool allows your Google ADK agent to verify the AP data pipeline's health before kicking off expensive Vertex AI jobs. If the status check fails, the agent pauses execution to prevent empty runs. This operational check integrates with Google Cloud logging, giving your engineering team clear visibility. You avoid wasting compute resources on API calls that cannot be completed.

Map candidates and deep-dive into race details

The `list_election_candidates` and `get_race_details` tools let your Gemini agent pull exhaustive lists of active politicians and specific race outcomes. Your agent joins this AP data with your existing BigQuery tables to enrich historical voter profiles. Because Google ADK supports direct toolset mapping, you expose these tools to your agent with a single line of configuration. The agent queries specific race IDs and formats the results for your internal analytics dashboards.

Setup guide

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

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Common questions about AP Elections API MCP in Google ADK

You initialize the McpToolset with your Vinkius HTTP URL and pass it into the LlmAgent tools list. Gemini immediately gains the ability to call the election data tools.

Yes. Use the tool_names filter parameter in the Google ADK configuration to only expose specific tools like `get_election_results` while hiding administrative tools.

Google ADK feeds the raw JSON directly into Gemini's long-context window, which easily accommodates the massive candidate lists and precinct data without truncation.

Yes. You can build a Google ADK agent that fetches data using `get_race_details` and then uses your GCP infrastructure tools to write those results into a BigQuery table.

Your credentials reside securely in Vinkius's zero-trust environment, while the transient election and candidate data is processed in memory and never stored within the MCP Server itself.

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