2,500+ MCP servers ready to use
Vinkius

GovInfo MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect GovInfo through the 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 GovInfo "
            "(8 tools)."
        ),
    )

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

asyncio.run(main())
GovInfo
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 GovInfo MCP Server

Connect to the official GovInfo API and empower your AI agent with direct access to official publications from all three branches of the US Federal Government. Query congressional bills, federal regulations, court opinions, and presidential documents using natural language without navigating complex government databases.

Pydantic AI validates every GovInfo tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through the 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

  • Document Discovery — List available document collections and find specific packages based on date ranges or collection codes (e.g., BILLS, FR, CHRG)
  • Deep Search — Perform complex searches across the entire GovInfo database to find relevant legislative or regulatory documents
  • Daily Updates — Retrieve a list of all documents officially published on a specific date
  • Metadata Extraction — Get detailed summary metadata for specific packages or their sub-documents (granules)
  • Contextual Relationships — Discover related documents to understand the legislative or regulatory history of a specific bill or rule

The GovInfo 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 GovInfo to Pydantic AI via MCP

Follow these steps to integrate the GovInfo 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 8 tools from GovInfo with type-safe schemas

Why Use Pydantic AI with the GovInfo MCP Server

Pydantic AI provides unique advantages when paired with GovInfo 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 GovInfo 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 GovInfo connection logic from agent behavior for testable, maintainable code

GovInfo + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the GovInfo MCP Server delivers measurable value.

01

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

02

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

03

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

04

Testing and QA: use Pydantic AI's dependency injection to mock GovInfo responses and write comprehensive agent tests

GovInfo MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect GovInfo to Pydantic AI via MCP:

01

get_collection

Get packages within a collection by date range

02

get_granule_summary

Get summary metadata for a specific granule

03

get_package_summary

Get summary metadata for a specific package

04

get_published

Get documents published on a specific date

05

get_related_documents

Get documents related to a specific package

06

list_collections

List available document collections

07

list_package_granules

List granules (sub-documents) for a package

08

search_documents

Search documents via the GovInfo Search API

Example Prompts for GovInfo in Pydantic AI

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

01

"What collections of documents are available on GovInfo?"

02

"Show me the summary for the Federal Register package 'FR-2023-01-10'."

Troubleshooting GovInfo MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

GovInfo + Pydantic AI FAQ

Common questions about integrating GovInfo 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 GovInfo MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect GovInfo to Pydantic AI

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.