Fiscal Data (U.S. Treasury) MCP. Get authoritative U.S. financial facts instantly.
Fiscal Data (U.S. Treasury) MCP gives you direct access to authoritative U.S. federal financial data. Pull over 170 endpoints covering everything from current debt and interest rates to monthly government receipts. You can fetch official exchange rates or summarize detailed budget statements for immediate analysis, making it essential for economic modeling and policy research.
Give Claude and any AI agent real-world access
Retrieve the current Treasury Reporting Rates of Exchange for international comparisons.
Pull detailed monthly summaries of government receipts and outlays from core Treasury statements.
Access over 170 endpoints to find any needed economic metric, like debt figures or interest rates.
Apply precise filters and pagination rules directly in conversation to manage huge amounts of financial records.
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What AI agents can do with Fiscal Data (U.S. Treasury): 4 Tools
Use these four tools to pull comprehensive U.S. Treasury financial data, including exchange rates and detailed monthly federal spending reports.
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Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Fiscal Data (U.S. Treasury) MCPGet Mts Table 1
Retrieves the summary data for Monthly Treasury Statement Table 1, covering receipts and outlays.
Get Mts Table 9
Retrieves detailed monthly financial summaries from Treasury Statement Table 9.
Get Rates Of Exchange
Gets the official, current U.S. Treasury Reporting Rates of Exchange for various...
Query Dataset
Allows you to query any specific federal data endpoint by providing a path and...
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Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
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Tracking federal finances used to mean a dozen tabs and hours of cleanup.
Today, getting comprehensive financial data means logging into multiple government sites. You open one tab for exchange rates, another for the budget summary tables, and a third just to verify the date range. Then you spend an hour copy-pasting figures, cross-referencing dates, and manually cleaning up formats so your analysis even starts.
With this MCP, that whole manual process disappears. You talk to your agent: 'Show me federal receipts for 2023.' The tool handles the API calls—whether it’s running `get_mts_table_1` or using a general query—and you get one clean output right in front of you.
Accessing Treasury data with the Fiscal Data (U.S. Treasury) MCP
You don't have to rely on secondary aggregators or outdated reports anymore. You can pull official, structured metrics—like fetching rates with `get_rates_of_exchange` or pulling detailed monthly records via `get_mts_table_9`. The data is authoritative because it comes straight from the source.
It's not about gathering information; it's about instantly integrating verified numbers into your workflow. You get the facts, structured and ready for analysis.
What Fiscal Data (U.S. Treasury) MCP does for your AI
Need reliable numbers for finance or economics? This MCP connects your agent directly to the U.S. Department of the Treasury's data sources. Instead of hunting through PDFs or manually downloading spreadsheets, you ask your AI client a question—say, 'What were total federal outlays in 2023?'—and it gets the clean, structured answer immediately.
You can query massive datasets using specific filters for dates or metrics. Need to compare currencies? Just ask for the latest official exchange rates. For policy work, you'll pull detailed monthly summaries of receipts and spending directly into your chat window. Vinkius makes this data available across all compatible clients, so whether you're working in Cursor or Claude, the numbers are always authoritative.
You get clean, structured financial facts without leaving your conversational workspace.
019e3898-576b-727f-83a5-149a36cba3f2 How to set up Fiscal Data (U.S. Treasury) MCP
The bottom line is that you get authoritative federal financial data returned instantly without ever touching a spreadsheet or navigating an external website.
Subscribe to the MCP. You might optionally enter your Fiscal Data API Key here for increased usage limits.
Instruct your AI client to retrieve a specific piece of data, like 'the Euro exchange rate' or 'federal receipts for Q1 2023'.
The agent uses the necessary internal tool to talk to the Treasury API and returns the clean, structured financial figures right in your conversation.
Who uses Fiscal Data (U.S. Treasury) MCP
This MCP is built for professionals who need verifiable, real-time economic context. If your job involves tracking government spending, modeling currency shifts, or reporting on national debt, this saves you hours of manual data aggregation.
Pulling historical exchange rates and federal budget summaries to build quarterly reports.
Tracking government spending, debt metrics, and receipts across different fiscal years for white papers.
Ingesting clean, structured time-series data into an analysis environment without pre-processing steps.
Benefits of connecting Fiscal Data (U.S. Treasury) MCP
Stop downloading CSVs. You get clean, structured federal data—like total receipts or outlays from get_mts_table_1—returned directly into your chat window for immediate use.
Never guess an exchange rate again. Use get_rates_of_exchange to fetch the official Treasury rates instantly, ensuring accuracy in cross-currency reports.
Need a specific metric like debt figures? You don't need to know the exact API path; just ask your agent and let it use query_dataset to pull the right endpoint for you.
Save time on historical reporting. Pull comprehensive monthly summaries using get_mts_table_9, covering years of spending data with a single query.
Handle massive datasets easily. The MCP lets you apply filters, sort, and paginate large amounts of financial records without running into data overload.
Fiscal Data (U.S. Treasury) MCP use cases
Comparing inflation year-over-year
A policy researcher needs to compare total federal outlays from 2021 vs. 2023. They ask the agent, and it uses query_dataset to pull comparative data points across multiple years for a side-by-side analysis.
Building a currency risk report
A financial analyst needs the current exchange rate between USD and CAD. They ask, and the agent uses get_rates_of_exchange to provide the official, real-time rate for their client presentation.
Auditing annual budget changes
A data scientist wants a summary of receipts from 2023. They prompt the agent with 'MTS Table 1 for 2023,' and it executes get_mts_table_1 to deliver the precise, structured results needed for modeling.
Tracking specific economic indicators
A researcher needs a rarely accessed dataset, like 'daily treasury statements'. Instead of knowing the endpoint path, they use query_dataset, and the agent fetches the data using the correct v1/accounting/od/... endpoint.
Fiscal Data (U.S. Treasury) MCP tradeoffs
What to watch out for, and the recommended way to handle each one.
Searching multiple websites
Opening Treasury.gov, then a separate economic calendar, and manually comparing dates or metrics across three different browser tabs.
Use the MCP to ask for all necessary data points in one query. For instance, asking for both monthly receipts (get_mts_table_1) and exchange rates (get_rates_of_exchange) simultaneously.
Copy-pasting API documentation
Spending 20 minutes reading the technical docs just to figure out if you need a 'v1/accounting' endpoint or something else.
Just ask your agent. It handles the complex data structure mapping and uses query_dataset with the right parameters, letting you focus on the analysis.
Using outdated financial models
Relying on cached or end-of-day numbers because manually updating a spreadsheet is too much work.
Always use this MCP for real-time data. It connects you to the live source, ensuring your analysis uses the most current official reporting rates and statements.
When to use Fiscal Data (U.S. Treasury) MCP
Use this MCP if your core problem involves accessing authoritative federal financial records—you need numbers on debt, spending, or currency exchange that originated from the U.S. Treasury itself. Don't use it if you just need general market commentary or sentiment analysis; those require different types of data connectors. If your goal is merely to read a PDF report and extract text, this won't help—you’ll need a document parsing tool instead. However, if you need hard facts like historical receipts (using get_mts_table_1) or current rates (get_rates_of_exchange), this MCP is essential because it connects directly to the source API layer.
Frequently asked questions about Fiscal Data (U.S. Treasury) MCP
Can I use query_dataset to find data that isn't listed? +
Yes. query_dataset is designed to handle a vast library of endpoints. If you know the general area, providing an endpoint path will allow your agent to retrieve specific datasets across the Treasury API.
What if I need rates for last week's date? +
Use get_rates_of_exchange. While it fetches current reporting rates, you can query historical data by specifying the required date parameters within your prompt.
Which tool is best for yearly budget summaries? +
For detailed annual reports, using get_mts_table_1 or get_mts_table_9 with appropriate year filters will give you the most reliable summary of receipts and outlays.
Does this MCP include non-Treasury economic data? +
No. This MCP connects exclusively to the U.S. Department of the Treasury's specific Fiscal Data API, ensuring all numbers are authoritative federal records.