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How to Use the U.S. Treasury Debt — National Debt & Interest Rates MCP in OpenAI Agents SDK

Track U.S. Treasury Debt & Rates in Production Agents using OpenAI Agents SDK.

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…and any MCP-compatible client

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OpenAI Agents SDK

Connect U.S. Treasury Debt — National Debt & Interest Rates MCP to OpenAI Agents SDK

Create your Vinkius account to connect U.S. Treasury Debt — National Debt & Interest Rates to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Check National Debt Status via MCP Server

The `get_national_debt` tool pulls the total public debt outstanding, updated daily by the Treasury Department. It gives you the national debt figure to the penny, breaking it down into both 'Debt Held by the Public' and 'Intragovernmental Holdings'. You need this for your production agents to ground their financial analysis in real numbers. This tool ensures every dollar amount is current, which is critical when building a reliable agent system.

Determine Borrowing Costs with MCP Server

Use `get_avg_interest_rates` to see the average interest rates on U.S. Treasury securities. This reflects the actual cost of borrowing for the federal government and updates every month. When your agent needs to model budgetary impact, it relies on these current rates. The ability to fetch this specific financial data ensures that any projection built by the OpenAI Agents SDK is based on verifiable economic benchmarks.

Break Down Public Debt Structure

The `get_public_debt_breakdown` tool shows exactly what makes up the total public debt, separating 'Debt Held by the Public' from 'Intragovernmental Holdings'. This gives you granularity beyond just the big number. Your agents can use this breakdown to understand where the money is actually tied up. It helps distinguish between market-held securities and trust fund obligations, adding necessary context for complex financial reports.

Setup guide

Set up U.S. Treasury Debt — National Debt & Interest Rates MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all U.S. Treasury Debt — National Debt & Interest Rates tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives U.S. Treasury Debt — National Debt & Interest Rates tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate U.S. Treasury Debt — National Debt & Interest Rates tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="U.S. Treasury Debt — National Debt & Interest Rates Agent",
            instructions="You have access to U.S. Treasury Debt — National Debt & Interest Rates tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by U.S. Department of the Treasury. 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. Treasury Debt — National Debt & Interest Rates MCP in OpenAI Agents SDK

The MCP Server provides daily and monthly data points, giving your agents immediate access to the current national debt total. This prevents your agent from making decisions based on stale financial information.
Yes, you use `get_debt_history` to get national debt totals for specific date ranges. This is useful when your agents need to compare current fiscal years against historical periods like election cycles.
It does, via the `get_treasury_auctions` tool. This fetches results from recent auctions (Bills, Notes, Bonds), letting your agents gauge real-time investor demand through the bid-to-cover ratio.
The server touches various financial metrics, including 'Total Public Debt Outstanding', average interest rates, and historical debt figures.
The server touches various financial metrics, including 'Total Public Debt Outstanding', average interest rates, and historical debt figures.

Start using the U.S. Treasury Debt — National Debt & Interest Rates MCP today

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