OpenStates MCP Server for Pydantic AI 7 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect OpenStates 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 OpenStates "
"(7 tools)."
),
)
result = await agent.run(
"What tools are available in OpenStates?"
)
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 OpenStates MCP Server
Equip your AI agent with the most comprehensive US state-level legislative intelligence via OpenStates. This unified server provides your agent with instant access to bills, legislators, and committee metadata across all 50 states, DC, and Puerto Rico. Your agent can instantly search for specific legislation, audit legislator profiles, and retrieve committee memberships without you ever manually checking a government site. Whether you are tracking policy trends or verifying legislative actions, your agent acts as a dedicated political analyst through natural conversation.
Pydantic AI validates every OpenStates tool response against typed schemas, catching data inconsistencies at build time. Connect 7 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
- Bill Discovery — Search for thousands of legislative bills by keyword, jurisdiction, and session.
- Legislator Auditing — Fetch complete profiles, contact information, and current roles for state legislators.
- Committee Intelligence — List all legislative committees in a jurisdiction and retrieve their detailed membership lists.
- Jurisdiction Lookup — List and inspect all supported states and jurisdictions to understand current legislative coverage.
- Deep Metadata — Retrieve detailed actions and versions for specific bills to analyze the legislative process.
The OpenStates MCP Server exposes 7 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 OpenStates to Pydantic AI via MCP
Follow these steps to integrate the OpenStates 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 7 tools from OpenStates with type-safe schemas
Why Use Pydantic AI with the OpenStates MCP Server
Pydantic AI provides unique advantages when paired with OpenStates 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 OpenStates integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your OpenStates connection logic from agent behavior for testable, maintainable code
OpenStates + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the OpenStates MCP Server delivers measurable value.
Type-safe data pipelines: query OpenStates with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple OpenStates tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query OpenStates and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock OpenStates responses and write comprehensive agent tests
OpenStates MCP Tools for Pydantic AI (7)
These 7 tools become available when you connect OpenStates to Pydantic AI via MCP:
get_bill_details
Get bill details
get_committee_details
Get committee details
get_legislator_details
Get legislator details
list_committees
List committees in a jurisdiction
list_jurisdictions
List all jurisdictions
search_bills
Search for legislative bills
search_legislators
Search for legislators
Example Prompts for OpenStates in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with OpenStates immediately.
"Search for education bills in California."
"Who are the members of the New York Senate Finance Committee?"
"Get the latest actions for bill TX HB-500."
Troubleshooting OpenStates MCP Server with Pydantic AI
Common issues when connecting OpenStates to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiOpenStates + Pydantic AI FAQ
Common questions about integrating OpenStates 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 OpenStates 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 OpenStates to Pydantic AI
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.
