What is the Daily Treasury Statement?

It acts as the U.S. government's daily checking account statement, showing cash deposits and withdrawals.

When does the fiscal year start?

The U.S. government fiscal year begins on October 1 and ends on September 30.

Is defense spending tracked here?

Yes, the Monthly Treasury Statement provides outlays by agency, including the Department of Defense.

U.S. Treasury Budget — Federal Revenue, Spending & Deficit MCP Server for Pydantic AI 5 tools — connect in under 2 minutes

Name: U.S. Treasury Budget — Federal Revenue, Spending & Deficit
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 Budget — Federal Revenue, Spending & Deficit 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 Budget — Federal Revenue, Spending & Deficit "
            "(5 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in U.S. Treasury Budget — Federal Revenue, Spending & Deficit?"
    )
    print(result.data)

asyncio.run(main())

U.S. Treasury Budget — Federal Revenue, Spending & Deficit

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* 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 Budget — Federal Revenue, Spending & Deficit MCP Server

U.S. Treasury budget data.

Pydantic AI validates every U.S. Treasury Budget — Federal Revenue, Spending & Deficit 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.

4 Tools

Federal Deficit — Monthly surplus/deficit tracking
Federal Revenue — Government income sources
Federal Spending — Government expenditure
Daily Cash Balance — The U.S. government's checking account

Zero Auth

The U.S. Treasury Budget — Federal Revenue, Spending & Deficit 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 Budget — Federal Revenue, Spending & Deficit to Pydantic AI via MCP

Follow these steps to integrate the U.S. Treasury Budget — Federal Revenue, Spending & Deficit 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 Budget — Federal Revenue, Spending & Deficit with type-safe schemas

Why Use Pydantic AI with the U.S. Treasury Budget — Federal Revenue, Spending & Deficit MCP Server

Pydantic AI provides unique advantages when paired with U.S. Treasury Budget — Federal Revenue, Spending & Deficit 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 Budget — Federal Revenue, Spending & Deficit 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 Budget — Federal Revenue, Spending & Deficit connection logic from agent behavior for testable, maintainable code

U.S. Treasury Budget — Federal Revenue, Spending & Deficit + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the U.S. Treasury Budget — Federal Revenue, Spending & Deficit MCP Server delivers measurable value.

Type-safe data pipelines: query U.S. Treasury Budget — Federal Revenue, Spending & Deficit with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple U.S. Treasury Budget — Federal Revenue, Spending & Deficit 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 Budget — Federal Revenue, Spending & Deficit and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock U.S. Treasury Budget — Federal Revenue, Spending & Deficit responses and write comprehensive agent tests

U.S. Treasury Budget — Federal Revenue, Spending & Deficit MCP Tools for Pydantic AI (5)

These 5 tools become available when you connect U.S. Treasury Budget — Federal Revenue, Spending & Deficit to Pydantic AI via MCP:

get_daily_cash_balance

This is the government's daily bank statement — how much cash the U.S. has on hand. Get the daily operating cash balance of the U.S. Treasury

get_daily_debt_transactions

Shows today, month-to-date, and fiscal-year-to-date amounts. Reveals the daily mechanics of how the U.S. finances its operations. Get daily public debt transactions — issuance and redemptions

get_deficit_surplus

The U.S. fiscal year runs October 1 through September 30. Get the federal budget deficit or surplus — fiscal year to date

get_federal_revenue

Shows current month and fiscal-year-to-date totals vs. prior year. Get federal government revenue — tax receipts by source

get_federal_spending

Shows current month gross outlays vs. prior year. Get federal government spending by department and agency

Example Prompts for U.S. Treasury Budget — Federal Revenue, Spending & Deficit in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with U.S. Treasury Budget — Federal Revenue, Spending & Deficit immediately.

"What is the current U.S. budget deficit?"

"How much did the U.S. government collect in revenue last month?"

"What is the daily Treasury cash balance?"

Troubleshooting U.S. Treasury Budget — Federal Revenue, Spending & Deficit MCP Server with Pydantic AI

Common issues when connecting U.S. Treasury Budget — Federal Revenue, Spending & Deficit to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

U.S. Treasury Budget — Federal Revenue, Spending & Deficit + Pydantic AI FAQ

Common questions about integrating U.S. Treasury Budget — Federal Revenue, Spending & Deficit 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 Budget — Federal Revenue, Spending & Deficit MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.