What is 'Debt to the Penny'?

It is the exact daily public debt of the United States, updated each business day. It includes all Treasury securities issued to the public.

How often are the interest rates updated?

Average interest rates are typically reported at the end of each month.

Do I need authentication?

No, all Treasury Fiscal Data API endpoints are public and do not require API keys.

U.S. Treasury Debt — National Debt & Interest Rates MCP Server for Pydantic AI 5 tools — connect in under 2 minutes

Name: U.S. Treasury Debt — National Debt & Interest Rates
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 5 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect U.S. Treasury Debt — National Debt & Interest Rates 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. Treasury Debt — National Debt & Interest Rates "
            "(5 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in U.S. Treasury Debt — National Debt & Interest Rates?"
    )
    print(result.data)

asyncio.run(main())

U.S. Treasury Debt — National Debt & Interest Rates

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High SecurityEnterprise-grade

IAMAccess control

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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 U.S. Treasury Debt — National Debt & Interest Rates MCP Server

U.S. Treasury debt data.

Pydantic AI validates every U.S. Treasury Debt — National Debt & Interest Rates tool response against typed schemas, catching data inconsistencies at build time. Connect 5 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.

3 Tools

National Debt — Debt to the Penny ($34T+)
Interest Rates — Average interest rates on U.S. debt
Treasury Auctions — Auction results for Bills, Notes, and Bonds

Zero Auth

The U.S. Treasury Debt — National Debt & Interest Rates MCP Server exposes 5 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. Treasury Debt — National Debt & Interest Rates to Pydantic AI via MCP

Follow these steps to integrate the U.S. Treasury Debt — National Debt & Interest Rates 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 5 tools from U.S. Treasury Debt — National Debt & Interest Rates with type-safe schemas

Why Use Pydantic AI with the U.S. Treasury Debt — National Debt & Interest Rates MCP Server

Pydantic AI provides unique advantages when paired with U.S. Treasury Debt — National Debt & Interest Rates 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. Treasury Debt — National Debt & Interest Rates 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. Treasury Debt — National Debt & Interest Rates connection logic from agent behavior for testable, maintainable code

U.S. Treasury Debt — National Debt & Interest Rates + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the U.S. Treasury Debt — National Debt & Interest Rates MCP Server delivers measurable value.

Type-safe data pipelines: query U.S. Treasury Debt — National Debt & Interest Rates with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple U.S. Treasury Debt — National Debt & Interest Rates 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. Treasury Debt — National Debt & Interest Rates and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock U.S. Treasury Debt — National Debt & Interest Rates responses and write comprehensive agent tests

U.S. Treasury Debt — National Debt & Interest Rates MCP Tools for Pydantic AI (5)

These 5 tools become available when you connect U.S. Treasury Debt — National Debt & Interest Rates to Pydantic AI via MCP:

get_avg_interest_rates

These rates reflect the cost of borrowing for the federal government. Updated monthly. Get average interest rates on U.S. Treasury securities

get_debt_history

Format: YYYY-MM-DD. Useful for tracking debt growth over specific periods — fiscal years, election cycles, presidencies, economic crises. Get national debt for a specific date range

get_national_debt

S. national debt (Total Public Debt Outstanding) updated daily by the Treasury Department. Breaks down into Debt Held by the Public (marketable securities) and Intragovernmental Holdings (trust funds like Social Security). As of 2026, the national debt exceeds $39 trillion. Get the U.S. national debt to the penny — updated daily

get_public_debt_breakdown

Shows both Debt Held by the Public and Intragovernmental Holdings. Get the Statement of Public Debt — breakdown by security type

get_treasury_auctions

The bid-to-cover ratio indicates investor demand — higher ratios = stronger demand for U.S. debt. Get results of Treasury securities auctions — Bills, Notes, Bonds

Example Prompts for U.S. Treasury Debt — National Debt & Interest Rates in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with U.S. Treasury Debt — National Debt & Interest Rates immediately.

"What is the exact current U.S. National debt?"

"What is the average interest rate on Treasury Bills?"

"Show me the result of the last Treasury auction"

Troubleshooting U.S. Treasury Debt — National Debt & Interest Rates MCP Server with Pydantic AI

Common issues when connecting U.S. Treasury Debt — National Debt & Interest Rates to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

U.S. Treasury Debt — National Debt & Interest Rates + Pydantic AI FAQ

Common questions about integrating U.S. Treasury Debt — National Debt & Interest Rates 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. Treasury Debt — National Debt & Interest Rates MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.