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Fiscal Data MCP Server

MCP Server

Fetch US Treasury data directly into your AI workflow

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Updated Sep 24, 2025

About

The Fiscal Data MCP Server connects Claude to the US Treasury’s Fiscal Data API, enabling quick retrieval of daily statements, historical data, and formatted reports for financial analysis.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Overview

The Fiscal Data MCP Server bridges Claude and the U.S. Treasury’s Fiscal Data API, giving developers a ready‑made toolset for pulling authoritative treasury information into AI workflows. Instead of writing custom API wrappers, users can simply invoke a handful of well‑defined tools and resources that expose daily statements, historical snapshots, and pre‑formatted report templates. This reduces boilerplate, guarantees consistent data handling, and allows teams to focus on higher‑level business logic.

What problem does it solve? Many organizations need up‑to‑date fiscal data—interest rates, debt issuances, or treasury yield curves—to inform budgeting, compliance, or market analysis. Traditionally this requires manual API calls, JSON parsing, and error handling. The Fiscal Data MCP server encapsulates these complexities behind a clean, declarative interface: a tool fetches a single day’s data, while a resource delivers the past 30 days in a cached, ready‑to‑use format. The server also offers a prompt that stitches the raw numbers into a human‑readable summary, saving developers from crafting custom templates.

Key features in plain language:

  • Daily Treasury Statements – Pull a single day’s statement with a straightforward tool call, automatically handling authentication and pagination.
  • Historical Data Resource – Retrieve the last month of treasury data in one request; the server caches responses for an hour to reduce API load.
  • Report Generation Prompt – Convert raw JSON into a polished report, complete with headings and key metrics, by invoking a pre‑built prompt.
  • Built‑in Caching – Minimizes network traffic and speeds up repeat queries, ideal for iterative AI conversations.
  • Zero‑code Integration – Add a single configuration entry to Claude Desktop and the server is ready to serve.

Real‑world use cases include:

  • Financial Analysis – Analysts can ask Claude for the latest debt issuance numbers and receive a formatted report instantly.
  • Compliance Auditing – Auditors can retrieve historical statements to verify regulatory filings without leaving the AI environment.
  • Education & Training – Teaching assistants can generate daily treasury summaries for classroom discussions or training modules.
  • Automated Reporting – CI/CD pipelines can trigger the report prompt to produce nightly dashboards for stakeholders.

Integration into AI workflows is seamless. Once the server is registered in Claude’s configuration, any conversation can invoke , fetch the resource via a simple query string, or ask for a formatted report. The server’s responses are returned as structured JSON, allowing downstream tools or prompts to further process the data. Because the server handles authentication and caching internally, developers need not manage tokens or worry about rate limits.

In summary, the Fiscal Data MCP Server offers a turnkey solution for embedding reliable treasury data into AI‑powered applications. Its blend of targeted tools, resource caching, and ready‑made reporting templates gives developers a powerful yet lightweight way to enrich conversations, automate compliance checks, and drive data‑driven decision making—all without writing a single line of API integration code.