How to Use the U.S. Treasury Budget — Federal Revenue, Spending & Deficit MCP in Google ADK

Q: How can I query U.S. Treasury Budget — Federal Revenue, Spending & Deficit data using Google ADK?

Your agents use the McpToolset to access tools like getfederalrevenue. You can then reason with Gemini models over this structured output and integrate it directly into BigQuery datasets.

Q: What daily debt transactions are available for U.S. Treasury Budget — Federal Revenue, Spending & Deficit using Google ADK?

The getdailydebttransactions tool provides the necessary details on public debt issuance and redemptions. Your agent can ingest this sequence of transactions into your existing BigQuery tables.

Q: Can Google ADK help me calculate the current deficit status for U.S. Treasury Budget — Federal Revenue, Spending & Deficit?

Yes. You use getdeficitsurplus to get the fiscal year-to-date budget deficit or surplus, which is a key metric for your financial modeling in Google Cloud.

Connect enterprise agents to U.S. Treasury Budget — Federal Revenue, Spending & Deficit data with Google ADK.

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Connect U.S. Treasury Budget — Federal Revenue, Spending & Deficit MCP to Google ADK

Create your Vinkius account to connect U.S. Treasury Budget — Federal Revenue, Spending & Deficit 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.

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Setup U.S. Treasury Budget — Federal Revenue, Spending & Deficit with Google ADK

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Analyze the government's daily cash flow.

The `get_daily_cash_balance` tool provides a direct look at the U.S. Treasury’s operational cash balance. Because you're running this on Google Cloud, your agent can immediately pipe this data into BigQuery for historical analysis. It lets you track immediate liquidity status, which is crucial when building large-scale financial modeling agents.

Audit debt issuance and budget deficits.

Agents use `get_daily_debt_transactions` to get daily public debt movements—both issuance and redemptions. For the broader picture, `get_deficit_surplus` gives you the fiscal year-to-date deficit or surplus. This lets your enterprise agent compare today's transactions against long-term budgetary trends stored in Vertex AI.

Drill down into federal spending by department.

The `get_federal_spending` tool provides gross outlays broken down by specific department and agency. This granular view is perfect for agents needing to allocate resources or audit expenditure. It lets you compare departmental spending this month versus the same period last year, all within your Google Cloud workflow.

Setup guide

Set up U.S. Treasury Budget — Federal Revenue, Spending & Deficit 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 Budget — Federal Revenue, Spending & Deficit 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 Budget — Federal Revenue, Spending & Deficit_agent",
    model="gemini-2.0-flash",
    instruction="You have access to U.S. Treasury Budget — Federal Revenue, Spending & Deficit tools via MCP.",
    tools=mcp_tools,
)

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Common questions about U.S. Treasury Budget — Federal Revenue, Spending & Deficit MCP in Google ADK

Your agents use the `McpToolset` to access tools like `get_federal_revenue`. You can then reason with Gemini models over this structured output and integrate it directly into BigQuery datasets.

The `get_daily_debt_transactions` tool provides the necessary details on public debt issuance and redemptions. Your agent can ingest this sequence of transactions into your existing BigQuery tables.

This server deals with public government financial metrics: federal revenue/spending and debt movement. The system is designed for secure enterprise consumption.

Yes. You use `get_deficit_surplus` to get the fiscal year-to-date budget deficit or surplus, which is a key metric for your financial modeling in Google Cloud.

The server provides federal revenue receipts by source and department spending outlays, which are ideal inputs for your long-context reasoning within the Gemini model.

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