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

Build multi-step financial analysis chains with LangChain.

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Works with every AI agent you already use

…and any MCP-compatible client

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

Create your Vinkius account to connect U.S. Treasury Budget — Federal Revenue, Spending & Deficit to LangChain 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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Track Daily Cash Flow

Need to know the U.S.'s current bank balance? Call `get_daily_cash_balance` to get the immediate operating cash figure for the Treasury. This tool gives your agent a hard number—the daily amount of cash the government has on hand. Your chain can then use this starting point to calculate projected deficits or compare it against historical debt movements.

Model Fiscal Year Outcomes

The U.S. fiscal year runs October 1 through September 30. Use `get_deficit_surplus` in your reasoning pipeline to determine the running deficit or surplus. Your agent can build a comparison: If revenue increases, does that offset spending? This tool provides the core metric needed for any multi-step financial decision.

Analyze Revenue and Outlays

You can track both sides of the budget. Call `get_federal_revenue` to get tax receipts by source, or run `get_federal_spending` to see gross outlays. Your LangChain agent will decide which data is needed first—does it need to know spending details before checking revenue trends? It handles that sequential logic automatically.

Setup guide

Set up U.S. Treasury Budget — Federal Revenue, Spending & Deficit MCP in LangChain

Prerequisites

  • Python 3.10+ installed
  • langchain-mcp-adapters + langgraph packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.

  2. 2

    Connect via HTTP transport

    Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create a ReAct agent

    Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes U.S. Treasury Budget — Federal Revenue, Spending & Deficit tool calls through the MCP protocol.

  4. 4

    Run with any LLM

    Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "us-treasury-budget-federal-revenue-spending-deficit-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent U.S. Treasury Budget — Federal Revenue, Spending & Deficit transactions"
    })
    print(result["messages"][-1].content)

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 Budget — Federal Revenue, Spending & Deficit MCP in LangChain

LangChain allows you to chain together multiple financial calls. You don't just get one number; your agent decides the optimal order of calling tools like `get_federal_revenue` followed by `get_deficit_surplus` to build a comprehensive analysis.
Yes. The tool `get_daily_debt_transactions` tracks issuance and redemptions. Your agent can incorporate this into a chain that compares today's transaction volume against the total fiscal-year-to-date debt figures.
Absolutely. You can compare current month gross outlays against prior years using `get_federal_spending`. The resulting output feeds directly into the next step of your chain for comparison.
Start by calling `get_daily_cash_balance`. Then, feed that result into a chain that calls `get_federal_revenue` to see how incoming tax receipts impact the immediate cash position.
It touches transactional and aggregate financial data, including daily operating cash balances from `get_daily_cash_balance`, tax receipts by source, and department spending totals.

Start using the U.S. Treasury Budget — Federal Revenue, Spending & Deficit MCP today

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Built & Managed by Vinkius 30s setup 5 tools

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