How to Use the U.S. Treasury Debt — National Debt & Interest Rates MCP in Google ADK

Q: Can I track past debt figures using U.S. Treasury Debt — National Debt & Interest Rates with Google ADK?

Yes. You can use getdebthistory to gather the national debt for specific periods, like comparing multiple presidential terms or economic crises in a single context window.

Q: Does U.S. Treasury Debt — National Debt & Interest Rates include auction data for Google ADK?

The gettreasuryauctions tool provides results from recent auctions (Bills, Notes, Bonds). Your agent can process the bid-to-cover ratio to understand market sentiment and incorporate that into its predictions.

Analyze U.S. Treasury Debt & Rates in BigQuery with Google ADK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect U.S. Treasury Debt — National Debt & Interest Rates MCP to Google ADK

Create your Vinkius account to connect U.S. Treasury Debt — National Debt & Interest Rates to Google ADK 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

Setup U.S. Treasury Debt — National Debt & Interest Rates with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Get National Debt Figures via MCP Server

You access the total public debt outstanding using `get_national_debt`, which is updated daily by the Treasury. It provides 'Debt to the Penny', so your agent can't afford any approximation. Since you're building enterprise agents on Google Cloud, this tool feeds verified financial data directly into your long-context reasoning models (1M+ tokens). This guarantees accuracy when correlating debt growth with other BigQuery datasets.

Model Interest Rates using MCP Server

The `get_avg_interest_rates` tool retrieves the average interest rates on U.S. Treasury securities, reflecting the cost of borrowing for the federal government. This data updates monthly. When your Gemini model runs complex financial scenarios, it needs these precise rate benchmarks to anchor its predictions. The integration makes sure this critical economic factor is always available.

Review Public Debt Breakdown with MCP Server

Use `get_public_debt_breakdown` to see the separation between 'Debt Held by the Public' and 'Intragovernmental Holdings'. This gives your agents a full picture of where the money sits. This detailed view is excellent for linking against other financial data you store in BigQuery. It allows your agent to move beyond just the total debt number and analyze its component parts.

Setup guide

Set up U.S. Treasury Debt — National Debt & Interest Rates MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with U.S. Treasury Debt — National Debt & Interest Rates tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="U.S. Treasury Debt — National Debt & Interest Rates_agent",
    model="gemini-2.0-flash",
    instruction="You have access to U.S. Treasury Debt — National Debt & Interest Rates tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about U.S. Treasury Debt — National Debt & Interest Rates MCP in Google ADK

It provides structured financial data that Gemini can consume directly within the agent's workflow. This allows your agents to perform deep, multi-source analysis on national debt and rates.

Yes. You can use `get_debt_history` to gather the national debt for specific periods, like comparing multiple presidential terms or economic crises in a single context window.

The `get_treasury_auctions` tool provides results from recent auctions (Bills, Notes, Bonds). Your agent can process the bid-to-cover ratio to understand market sentiment and incorporate that into its predictions.

The server touches various financial metrics, including 'Total Public Debt Outstanding', average interest rates, and historical debt figures.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python