vote.direct MCP Server for OpenAI Agents SDK 5 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect vote.direct through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="vote.direct Assistant",
instructions=(
"You help users interact with vote.direct. "
"You have access to 5 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from vote.direct"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About vote.direct MCP Server
Empower your AI agent to orchestrate your entire civic participation and voter auditing workflow with vote.direct, the comprehensive source for localized election data. By connecting vote.direct to your agent, you transform complex voter searches into a natural conversation. Your agent can instantly search for polling locations, audit upcoming elections, and retrieve registration deadlines without you ever touching a government portal. Whether you are preparing for a local vote or conducting regional civic research, your agent acts as a real-time civic consultant, ensuring your data is always verified and localized.
The OpenAI Agents SDK auto-discovers all 5 tools from vote.direct through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries vote.direct, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Polling Auditing — Search for polling locations near any street address and retrieve detailed metadata, including hours and names.
- Election Oversight — Audit upcoming elections for specific ZIP codes to maintain a clear view of local civic timelines and scale.
- Ballot Discovery — Retrieve detailed ballot information for specific elections to understand the legislative items and candidates instantly.
- Registration Intelligence — Query voter registration deadlines and links for any state to assist in civic compliance and planning.
- Civic Monitoring — Check API status to ensure your civic research workflow is always operational.
The vote.direct 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 vote.direct to OpenAI Agents SDK via MCP
Follow these steps to integrate the vote.direct MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 5 tools from vote.direct
Why Use OpenAI Agents SDK with the vote.direct MCP Server
OpenAI Agents SDK provides unique advantages when paired with vote.direct through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
vote.direct + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the vote.direct MCP Server delivers measurable value.
Automated workflows: build agents that query vote.direct, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries vote.direct, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through vote.direct tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query vote.direct to resolve tickets, look up records, and update statuses without human intervention
vote.direct MCP Tools for OpenAI Agents SDK (5)
These 5 tools become available when you connect vote.direct to OpenAI Agents SDK via MCP:
check_api_status
direct election data service. Check if the vote.direct service is operational
get_ballot_information
Get ballot information for a specific election and address
get_polling_locations
Find polling locations near a specific address
get_registration_details
Get voter registration deadlines and links for a specific state
get_upcoming_elections
Find upcoming elections for a specific ZIP code
Example Prompts for vote.direct in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with vote.direct immediately.
"Find polling locations near '1600 Pennsylvania Avenue NW, Washington, DC' using vote.direct."
"What elections are upcoming for ZIP code '90210'?"
"Get registration deadline for 'New York'."
Troubleshooting vote.direct MCP Server with OpenAI Agents SDK
Common issues when connecting vote.direct to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
vote.direct + OpenAI Agents SDK FAQ
Common questions about integrating vote.direct MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect vote.direct with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect vote.direct to OpenAI Agents SDK
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.
