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Google Civic Information MCP Server for OpenAI Agents SDK 5 tools — connect in under 2 minutes

Built by Vinkius GDPR 5 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Google Civic Information through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Google Civic Information Assistant",
            instructions=(
                "You help users interact with Google Civic Information. "
                "You have access to 5 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Google Civic Information"
        )
        print(result.final_output)

asyncio.run(main())
Google Civic Information
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About Google Civic Information MCP Server

Empower your AI agent to orchestrate your entire civic participation and political auditing workflow with Google Civic Information, the authoritative source for localized government data. By connecting Google's civic intelligence to your agent, you transform complex political searches into a natural conversation. Your agent can instantly identify your representatives, audit upcoming elections, and retrieve detailed polling metadata without you ever touching a government portal. Whether you are conducting regional policy research or preparing for a local vote, your agent acts as a real-time civic consultant, ensuring your data is always verified and precise.

The OpenAI Agents SDK auto-discovers all 5 tools from Google Civic Information through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Google Civic Information, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

What you can do

  • Representative Auditing — Search for political officials by street address and retrieve comprehensive metadata, including names, parties, and office titles.
  • Election Oversight — Audit upcoming and past elections to maintain a clear view of civic timelines and scale.
  • Voter Intelligence — Query polling locations and ballot information for specific addresses to assist in civic preparation.
  • Division Discovery — Search for electoral divisions (OCD-IDs) by name or location to understand regional administrative reach instantly.
  • Civic Monitoring — Check API status to ensure your political research workflow is always operational.

The Google Civic Information MCP Server exposes 5 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Google Civic Information to OpenAI Agents SDK via MCP

Follow these steps to integrate the Google Civic Information MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 5 tools from Google Civic Information

Why Use OpenAI Agents SDK with the Google Civic Information MCP Server

OpenAI Agents SDK provides unique advantages when paired with Google Civic Information through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Google Civic Information + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Google Civic Information MCP Server delivers measurable value.

01

Automated workflows: build agents that query Google Civic Information, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents — one queries Google Civic Information, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Google Civic Information tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Google Civic Information to resolve tickets, look up records, and update statuses without human intervention

Google Civic Information MCP Tools for OpenAI Agents SDK (5)

These 5 tools become available when you connect Google Civic Information to OpenAI Agents SDK via MCP:

01

check_api_status

Check if the Google Civic Information API is operational

02

get_google_civic_elections

List upcoming and past elections supported by Google Civic

03

get_representatives_by_address

Find political representatives for a specific street address

04

get_voter_information

Get voter information (polling sites, ballots) for an address and election

05

search_civic_divisions

Search for electoral divisions (OCD-IDs) by name or location

Example Prompts for Google Civic Information in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Google Civic Information immediately.

01

"Who are my political representatives for '1600 Pennsylvania Avenue NW, Washington, DC'?"

02

"Search for civic divisions related to 'Chicago'."

03

"What elections are upcoming in the United States?"

Troubleshooting Google Civic Information MCP Server with OpenAI Agents SDK

Common issues when connecting Google Civic Information to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Google Civic Information + OpenAI Agents SDK FAQ

Common questions about integrating Google Civic Information MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with the Vinkius.

Connect Google Civic Information to OpenAI Agents SDK

Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.