Fiscal Data (U.S. Treasury) MCP Server for Pydantic AIGive Pydantic AI instant access to 4 tools to Get Mts Table 1, Get Mts Table 9, Get Rates Of Exchange, and more

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

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Fiscal Data (U.S. Treasury) through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Ask AI about this MCP Server for Pydantic AI

Open in ChatGPT Open in Claude Open in Perplexity

The Fiscal Data (U.S. Treasury) MCP Server for Pydantic AI is a standout in the Data Analytics category — giving your AI agent 4 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

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 Fiscal Data (U.S. Treasury) "
            "(4 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Fiscal Data (U.S. Treasury)?"
    )
    print(result.data)

asyncio.run(main())

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

About 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.

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.

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.

The Fiscal Data (U.S. Treasury) MCP Server exposes 4 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 4 Fiscal Data (U.S. Treasury) tools available for Pydantic AI

When Pydantic AI connects to Fiscal Data (U.S. Treasury) through Vinkius, your AI agent gets direct access to every tool listed below — spanning us-treasury, fiscal-data, exchange-rates, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get mts table 1 on Fiscal Data (U.S. Treasury)

Get Monthly Treasury Statement (MTS) Table 1

get

Get mts table 9 on Fiscal Data (U.S. Treasury)

Get Monthly Treasury Statement (MTS) Table 9

get

Get rates of exchange on Fiscal Data (U.S. Treasury)

Get Treasury Reporting Rates of Exchange

query

Query dataset on Fiscal Data (U.S. Treasury)

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

Connect Fiscal Data (U.S. Treasury) to Pydantic AI via MCP

Follow these steps to wire Fiscal Data (U.S. Treasury) into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 4 tools from Fiscal Data (U.S. Treasury) with type-safe schemas

Why Use Pydantic AI with the Fiscal Data (U.S. Treasury) MCP Server

Pydantic AI provides unique advantages when paired with Fiscal Data (U.S. Treasury) 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 Fiscal Data (U.S. Treasury) integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Fiscal Data (U.S. Treasury) connection logic from agent behavior for testable, maintainable code

Fiscal Data (U.S. Treasury) + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Fiscal Data (U.S. Treasury) MCP Server delivers measurable value.

Type-safe data pipelines: query Fiscal Data (U.S. Treasury) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Fiscal Data (U.S. Treasury) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Fiscal Data (U.S. Treasury) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Fiscal Data (U.S. Treasury) responses and write comprehensive agent tests

Example Prompts for Fiscal Data (U.S. Treasury) in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Fiscal Data (U.S. Treasury) immediately.

"Get the Treasury exchange rates for the Euro for the last recorded date."

"Show me the summary of federal receipts and outlays from MTS Table 1 for 2023."

"Use query_dataset to find data on the 'daily_treasury_statement' for the past week."

Troubleshooting Fiscal Data (U.S. Treasury) MCP Server with Pydantic AI

Common issues when connecting Fiscal Data (U.S. Treasury) to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Fiscal Data (U.S. Treasury) + Pydantic AI FAQ

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