BallotReady MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect BallotReady through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to BallotReady "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in BallotReady?"
)
print(result.data)
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 BallotReady MCP Server
Empower your AI agent to navigate the complex landscape of civic engagement with BallotReady, the leading platform for nonpartisan election information. By connecting BallotReady to your agent, you transform dense voter data into a natural conversation. Your agent can instantly identify upcoming local, state, and national elections based on a specific address, retrieve detailed candidate profiles, audit voting districts, and even explain ballot measures without you ever searching through government portals. Whether you're building a voter outreach tool or a civic dashboard, your agent acts as a direct, reliable bridge to the democratic process.
Pydantic AI validates every BallotReady tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
What you can do
- Election Discovery — Find all upcoming elections (local, state, and federal) based on any physical address in the United States.
- Candidate Profiling — Retrieve comprehensive profiles for candidates running for office, including their positions and bios.
- District Mapping — Instantly match any address to its specific voting districts to understand local representation.
- Ballot Insights — Access and explain specific ballot measures and referendums for upcoming elections directly from chat.
- Officeholder Auditing — List current officeholders for specific districts to maintain an accurate view of elected leadership.
The BallotReady MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI 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 BallotReady to Pydantic AI via MCP
Follow these steps to integrate the BallotReady MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from BallotReady with type-safe schemas
Why Use Pydantic AI with the BallotReady MCP Server
Pydantic AI provides unique advantages when paired with BallotReady through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your BallotReady integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your BallotReady connection logic from agent behavior for testable, maintainable code
BallotReady + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the BallotReady MCP Server delivers measurable value.
Type-safe data pipelines: query BallotReady with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple BallotReady tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query BallotReady and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock BallotReady responses and write comprehensive agent tests
BallotReady MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect BallotReady to Pydantic AI via MCP:
get_account_check
Verify BallotReady connection
get_ballot_measures
Retrieve ballot measures for a specific election
get_candidate
Get detailed profile for a specific candidate
get_districts_by_address
Convenience tool to get districts by address
get_elections_by_address
Convenience tool to get elections by address
get_officeholders
Retrieve current officeholders for districts
list_candidates
List candidates running for office
list_districts
Match an address to specific voting districts
list_elections
Find upcoming elections based on a specific address
list_positions
List specific offices up for election
Example Prompts for BallotReady in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with BallotReady immediately.
"What elections are coming up for the address 123 Main St, Chicago, IL?"
"Show me the profile for candidate ID 98765."
"Which voting districts cover 1600 Pennsylvania Ave NW, Washington, DC?"
Troubleshooting BallotReady MCP Server with Pydantic AI
Common issues when connecting BallotReady to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiBallotReady + Pydantic AI FAQ
Common questions about integrating BallotReady MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect BallotReady 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 BallotReady to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.