How to Use the U.S. Treasury Full — Complete Fiscal & Debt Intelligence MCP in Pydantic AI
Model-safe U.S. Treasury financial intelligence with Pydantic AI's validated tools.
Works with every AI agent you already use
…and any MCP-compatible client
Connect U.S. Treasury Full — Complete Fiscal & Debt Intelligence MCP to Pydantic AI
Create your Vinkius account to connect U.S. Treasury Full — Complete Fiscal & Debt Intelligence to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Calculate Deficit/Surplus using MCP Server
The `get_deficit_surplus` tool calculates the federal budget deficit or surplus, tracking the fiscal year from October 1 through September 30. This is crucial for understanding fiscal health. You can also track revenue and spending independently. Use `get_federal_revenue` to get tax receipts by source, while `get_federal_spending` details gross outlays by department.
Get Daily Financial Status with Pydantic AI
To see the immediate cash position, run `get_daily_cash_balance`. This gives you the government's operating cash balance—the daily bank statement. If you need to know how much total debt exists, use `get_national_debt` for the penny-accurate national debt figure, updated every day.
Access Full Treasury Data via MCP Server
The `query_treasury_dataset` tool gives you access to any specific dataset path on treasury.gov. You control the filters, sorting, and fields. Need a quick overview? Use `get_public_debt_breakdown` to get both Debt Held by the Public and Intragovernmental Holdings in one call.
Set up U.S. Treasury Full — Complete Fiscal & Debt Intelligence MCP in Pydantic AI
Prerequisites
- Python 3.10+ installed
-
pydantic-ai-slim[fastmcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"us-treasury-full-complete-fiscal-debt-intelligence-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to U.S. Treasury Full — Complete Fiscal & Debt Intelligence tools.",
)
result = await agent.run("List recent U.S. Treasury Full — Complete Fiscal & Debt Intelligence transactions")
print(result.output) 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 Full — Complete Fiscal & Debt Intelligence MCP in Pydantic AI
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