Yes! The Congress.gov API key is completely free. Register at api.congress.gov/sign-up/ to get instant access to all legislative data endpoints.

U.S. Congress MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: U.S. Congress
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect U.S. Congress through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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Open in ChatGPT Open in Claude Open in Perplexity

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 U.S. Congress "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in U.S. Congress?"
    )
    print(result.data)

asyncio.run(main())

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About U.S. Congress MCP Server

Connect the U.S. Congress API to your AI agent and access comprehensive legislative data through natural conversation.

Pydantic AI validates every U.S. Congress tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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 Research — Search and browse bills across congressional sessions with full text and status tracking
Member Lookup — List current and past members of Congress with biographical and voting data
Amendment Tracking — Browse amendments to bills and resolutions
Treaty Analysis — Access treaty submissions and their current status
Nomination Tracking — Monitor presidential nominations through the confirmation process
Committee Navigation — Browse congressional committees and their jurisdictions
Congress History — Access session data across historical congresses

The U.S. Congress MCP Server exposes 8 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 U.S. Congress to Pydantic AI via MCP

Follow these steps to integrate the U.S. Congress 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 8 tools from U.S. Congress with type-safe schemas

Why Use Pydantic AI with the U.S. Congress MCP Server

Pydantic AI provides unique advantages when paired with U.S. Congress 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 U.S. Congress integration code

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

Dependency injection system cleanly separates your U.S. Congress connection logic from agent behavior for testable, maintainable code

U.S. Congress + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the U.S. Congress MCP Server delivers measurable value.

Type-safe data pipelines: query U.S. Congress with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple U.S. Congress tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query U.S. Congress and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock U.S. Congress responses and write comprehensive agent tests

U.S. Congress MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect U.S. Congress to Pydantic AI via MCP:

get_bill_details

Get full details for a specific legislative bill

list_congress_amendments

List legislative amendments

list_congress_bills

gov database. List bills from the current or specified Congress

list_congress_committees

List congressional committees

list_congress_members

List current or past members of the US Congress

list_congress_nominations

List executive and judicial nominations

list_congress_sessions

g., 118th, 117th) and their start and end dates. List historical congressional sessions

list_congress_treaties

List treaties handled by Congress

Example Prompts for U.S. Congress in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with U.S. Congress immediately.

"What bills about artificial intelligence were introduced in the current Congress?"

Troubleshooting U.S. Congress MCP Server with Pydantic AI

Common issues when connecting U.S. Congress to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

U.S. Congress + Pydantic AI FAQ

Common questions about integrating U.S. Congress MCP Server with Pydantic AI.

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.

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.

Can I switch LLM providers without changing MCP code?

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