Pydantic AISDK

Fiscal Data (U.S. Treasury) MCP Server

Bring Us Treasury
to Pydantic AI

Name: Fiscal Data (U.S. Treasury) MCP Server
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

Learn how to connect Fiscal Data (U.S. Treasury) to Pydantic AI and start using 4 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Get Mts Table 1Get Mts Table 9Get Rates Of ExchangeQuery Dataset

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Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the Fiscal Data (U.S. Treasury) MCP Server?

Connect directly to the U.S. Department of the Treasury's Fiscal Data API to retrieve authoritative financial information. This server enables AI agents to query a vast library of federal financial data for analysis, reporting, and economic research.

What you can do

Comprehensive Data Access — Query any of the 170+ available endpoints including debt, interest rates, and federal spending via the query_dataset tool.
Exchange Rates — Fetch official Treasury Reporting Rates of Exchange for international currencies using get_rates_of_exchange.
Monthly Treasury Statements — Access detailed summaries of federal receipts and outlays through get_mts_table_1 and get_mts_table_9.
Advanced Filtering — Apply precise filters, sorting, and pagination to handle large datasets efficiently directly within your conversation.

How it works

Subscribe to this server
(Optional) Enter your Fiscal Data API Key for higher rate limits
Start querying federal financial data from Claude, Cursor, or any MCP-compatible client

Who is this for?

Financial Analysts — instantly retrieve historical exchange rates and federal budget summaries without manual CSV downloads.
Data Scientists — pull clean, structured fiscal data directly into your analysis environment.
Policy Researchers — track government spending and debt metrics through natural language queries.

Built-in capabilities (4)

get_mts_table_1

Get Monthly Treasury Statement (MTS) Table 1

get_mts_table_9

Get Monthly Treasury Statement (MTS) Table 9

get_rates_of_exchange

Get Treasury Reporting Rates of Exchange

query_dataset

Provide the endpoint path (e.g., v1/accounting/od/rates_of_exchange) and optional filters. Query any Fiscal Data dataset endpoint

Why Pydantic AI?

Pydantic AI validates every Fiscal Data (U.S. Treasury) tool response against typed schemas, catching data inconsistencies at build time. Connect 4 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.

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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Fiscal Data (U.S. Treasury) integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Fiscal Data (U.S. Treasury) connection logic from agent behavior for testable, maintainable code

See it in action

Fiscal Data (U.S. Treasury) in Pydantic AI

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Fiscal Data (U.S. Treasury) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Fiscal Data (U.S. Treasury) to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for Pydantic AI →

Enterprise Security

Why teams choose Vinkius for Fiscal Data (U.S. Treasury) in Pydantic AI

The Fiscal Data (U.S. Treasury) 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. All 4 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full Fiscal Data (U.S. Treasury) details →

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures
Fiscal Data (U.S. Treasury) for Pydantic AI

Every tool call from Pydantic AI to the Fiscal Data (U.S. Treasury) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

How can I access specific datasets like the national debt or federal spending?

You can use the query_dataset tool. Simply provide the endpoint path (e.g., 'v1/debt/mspd/mspd_table_1' for the Monthly Statement of the Public Debt) and any optional filters to get the exact data you need.

Can I filter the financial data by a specific date or currency?

Yes! All tools like get_rates_of_exchange and get_mts_table_1 support a filter parameter. For example, use record_date:eq:2023-12-31 to get data for a specific day or country_currency_desc:eq:CANADA-DOLLAR for specific currency rates.

What is the difference between Table 1 and Table 9 in the Monthly Treasury Statement?

The get_mts_table_1 tool provides a high-level summary of receipts, outlays, and the surplus or deficit. The get_mts_table_9 tool provides a more granular breakdown of Budgetary Receipts by reporting entity and major source.

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 Fiscal Data (U.S. Treasury) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.