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How to Use the U.S. Congress MCP in Pydantic AI

Get guaranteed data correctness when querying U.S. Congress with Pydantic AI.

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…and any MCP-compatible client

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Pydantic AI

Connect U.S. Congress MCP to Pydantic AI

Create your Vinkius account to connect U.S. Congress to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Validate Bill Details with Pydantic AI

Use `get_bill_details` to pull full legislative records for a bill. The standout feature is that your agent validates the response against a Pydantic model. If the API sends unexpected data, your agent fails loudly—you never get silent corruption.

List Treaties via MCP Server

The `list_congress_treaties` tool retrieves treaties handled by Congress. This gives you a clean, type-safe list of documents. You know exactly what fields to expect, making your multi-agent workflow incredibly reliable.

Check Amendments with Pydantic AI

The `list_congress_amendments` tool provides a record of legislative amendments. Because every output is validated against a schema, you can trust that the data structure your agent receives for these complex records is correct.

Setup guide

Set up U.S. Congress MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Pydantic AI with FastMCP

    Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.

  2. 2

    Configure the FastMCPToolset

    Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.

  3. 3

    Create and run your agent

    Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "us-congress-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to U.S. Congress tools.",
)

result = await agent.run("List recent U.S. Congress transactions")
print(result.output)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Congress.gov. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about U.S. Congress MCP in Pydantic AI

The MCP Server provides the raw tools, but Pydantic-AI adds a crucial layer of runtime validation. Your agent calls the tool, and we guarantee the output conforms to your specified Python models.
You've got access to everything: bills, members, nominations, committees, and full records for historical sessions. It’s a complete legislative dataset.
Yes. You can list committee membership via `list_congress_committees` and then use that structured data to perform relationship mapping, all while maintaining type-safety.
It is. Tools like `list_congress_sessions` provide clear start/end dates, and because of the validation layer, you're guaranteed to get structured data, even from older periods.
This MCP Server handles legislative bill details. The schema validation ensures that your agent only uses and validates the structured text fields provided by the tool.

Start using the U.S. Congress MCP today

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Built & Managed by Vinkius 30s setup 8 tools

We've already built the connector for U.S. Congress. Just plug in your AI agents and start using Vinkius.

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