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OpenStates MCP Server for Pydantic AI 7 tools — connect in under 2 minutes

Built by Vinkius GDPR 7 Tools SDK

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.

Vinkius supports streamable HTTP and SSE.

python
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())
OpenStates
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* 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.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

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.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your OpenStates integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

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.

01

Type-safe data pipelines: query OpenStates with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple OpenStates tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query OpenStates and output structured, schema-compliant notifications

04

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:

01

get_bill_details

Get bill details

02

get_committee_details

Get committee details

03

get_legislator_details

Get legislator details

04

list_committees

List committees in a jurisdiction

05

list_jurisdictions

List all jurisdictions

06

search_bills

Search for legislative bills

07

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.

01

"Search for education bills in California."

02

"Who are the members of the New York Senate Finance Committee?"

03

"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.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

OpenStates + Pydantic AI FAQ

Common questions about integrating OpenStates MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your OpenStates MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

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.