# io.github.cyanheads/treasury-fiscaldata-mcp-server

> Query US Treasury national debt, interest rates, exchange rates, and fiscal datasets via MCP.

- name: io.github.cyanheads/treasury-fiscaldata-mcp-server
- version: 0.2.0
- connection class: R0 (autonomous)
- trust: 94/100
- quality: 89/100 (good)
- owner: not claimed
- descriptor: https://api.protogrid.dev/v1/servers/io.github.cyanheads%2Ftreasury-fiscaldata-mcp-server
- tools: https://api.protogrid.dev/v1/servers/io.github.cyanheads%2Ftreasury-fiscaldata-mcp-server/tools

**An agent can connect right now, no human step.** Remote endpoint, no authentication, reachable on the last probe.

## Connection (mcpServers)

```json
{
  "mcpServers": {
    "treasury-fiscaldata-mcp-server": {
      "type": "http",
      "url": "https://treasury-fiscaldata.caseyjhand.com/mcp"
    }
  }
}
```


## Trust

- hygiene: 100
- liveness: 100
- freshness: 100
- provenance: 80
- drivers: +repository +namespace-matches-repo +reachable +uptime-100% +updated-17d-ago
- Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed.

## Quality 89/100 (good)

### protocol: 88 (weight 25)

- pass `protocol.modern`: supports 2026-07-28 (server/discover)
- pass `protocol.stateless`: answers without a session
- pass `protocol.transport`: streamable HTTP
- warn `protocol.list_ttl`: tools/list declares ttlMs 0, so clients re-fetch it on every use

### authorization: n/a (weight 15)

- n/a `auth.prm`, `auth.as_metadata`, `auth.cimd`: no remote uses OAuth
- n/a `auth.secret_in_url`: no templated URL

### tool hygiene: 86 (weight 30)

- pass `tools.descriptions`: every tool has a description
- pass `tools.description_length`: descriptions are concise
- pass `tools.schemas`: every tool has an object input schema
- pass `tools.annotations`: 7 of 7 tools declare readOnlyHint or destructiveHint
- fail `tools.directory_hints`: no tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: treasury_query_dataset (destructiveHint, openWorldHint); treasury_get_debt (destructiveHint, openWorldHint); treasury_get_interest_rates (destructiveHint, openWorldHint); …
- pass `tools.token_cost`: about 3,354 tokens to load every tool
- pass `tools.api_dump`: tools are not a one-to-one API dump

### stability: 100 (weight 15)

- pass `stability.changes`: no tool changes in 30 days
- pass `stability.rug_pull`: no tool changed its meaning under the same name

### dependencies: n/a (weight 15)

- n/a `deps.known_vulns`, `deps.mcp_sdk_version`, `deps.resolvable`: deps.dev does not know @cyanheads/treasury-fiscaldata-mcp-server@0.2.0, @cyanheads/treasury-fiscaldata-mcp-server@0.2.0

- tools: 7, about 3,354 tokens to load them all
- tool set hash: 5767b6fe79f1bb4bdcec67e6a62f071b
- badge: [![protogrid quality](https://protogrid.dev/badge/io.github.cyanheads/treasury-fiscaldata-mcp-server.svg)](https://protogrid.dev/servers/io.github.cyanheads/treasury-fiscaldata-mcp-server)
- Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed.

### Tool changes

_No tool definition changes recorded._

## Dependencies

- npm @cyanheads/treasury-fiscaldata-mcp-server@0.2.0: unknown
- npm @cyanheads/treasury-fiscaldata-mcp-server@0.2.0: unknown

Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0.

## Remotes

- https://treasury-fiscaldata.caseyjhand.com/mcp (streamable-http, auth none, reachable true, uptime30d 1)

## Packages

- npm @cyanheads/treasury-fiscaldata-mcp-server@0.2.0
- npm @cyanheads/treasury-fiscaldata-mcp-server@0.2.0

## Tools (7)

- `treasury_dataframe_describe`: List DataCanvas dataframes materialized by treasury_query_dataset, treasury_get_debt, treasury_get_interest_rates, and treasury_get_exchange_rates. Each entry surfaces source tool, query parameters, creation/expiry timestamps, row count, and column schema. Use this tool before treasury_dataframe_query to discover table names and column types. Requires CANVAS_PROVIDER_TYPE=duckdb.
- `treasury_dataframe_query`: Run a single-statement SELECT against DataCanvas dataframes registered by treasury_query_dataset, treasury_get_debt, treasury_get_interest_rates, and treasury_get_exchange_rates. Read-only: writes, DDL, DROP, COPY, PRAGMA, ATTACH, and external-file table functions are rejected. System catalogs (information_schema, pg_catalog, sqlite_master, duckdb_*) are denied at the bridge layer. All Treasury dataframe columns are VARCHAR — CAST to DECIMAL or DATE for arithmetic and date comparisons. Use treasury_dataframe_describe to list available table names and column schemas before querying.
- `treasury_get_debt`: Fetch national debt (Debt to the Penny) — total public debt outstanding broken into publicly-held debt and intragovernmental holdings. Three modes: "latest" returns the most recent business day's record; "date" returns the record for a specific date (must be a business day — the API only records debt on days markets are open); "series" returns a date range, staging the full result as a DataCanvas table when canvas_id is set or the range matches more than 500 rows — read the table's column schema with treasury_dataframe_describe, then run SQL over it with treasury_dataframe_query. Records go back to 1993-04-01.
- `treasury_get_exchange_rates`: Official Treasury reporting exchange rates for ~165 countries — the rates US federal agencies are required to use when converting foreign currency to USD for official reporting. Published quarterly (March 31, June 30, Sep 30, Dec 31); mode "latest" returns the most recently published quarter. Rate is expressed as foreign currency units per 1 USD (e.g., a Japan-Yen rate of 159.41 means 1 USD = 159.41 JPY). These are NOT market exchange rates and are not suitable for financial transaction pricing. Mode "series" stages the result as a DataCanvas table when canvas_id is set or the range matches more than 500 rows — read the table's column schema with treasury_dataframe_describe, then run SQL over it with treasury_dataframe_query.
- `treasury_get_interest_rates`: Average interest rates Treasury pays on its outstanding securities by security type. Answers "what is the government's cost of borrowing?" Covers every type Treasury reports — marketable issues, non-marketable series, and the aggregate totals — and which types it reports changes over the years, so omit security_type to see the ones a given period carries. Rates are percentages, not basis points. Updated monthly (end-of-month records). Mode "latest" returns the most recent month's rates for all or one security type; "series" returns a time history, staging the result as a DataCanvas table when canvas_id is set or the range matches more than 200 rows — read the table's column schema with treasury_dataframe_describe, then run SQL over it with treasury_dataframe_query.
- `treasury_list_datasets`: Browse the curated catalog of US Treasury Fiscal Data API endpoints. Returns endpoint paths, field names, descriptions, and update cadence for each dataset. Use this tool before treasury_query_dataset to discover the correct endpoint path and field names — a typo in either causes a 400 error from the API. The catalog is a curated subset of the full API — pass any endpoint path directly to treasury_query_dataset to query datasets not listed here. The catalog covers debt, interest rates, exchange rates, revenue/spending, savings bonds, and securities datasets.
- `treasury_query_dataset`: Query any Treasury Fiscal Data endpoint by path, field list, filters, sort, and page. Call treasury_list_datasets first to get the correct endpoint path and exact field names — a typo in either causes a 400. Filter syntax: each condition is { field, operator, value } where operator is eq/gt/gte/lt/lte/in (e.g., record_date:gte:2024-01-01). Multiple conditions are ANDed together. All response values are strings per the API contract, including numbers and dates; "null" (string) means no value. Supply canvas_id to stage the page result as a DataCanvas table — read its column schema with treasury_dataframe_describe, then run SQL over it with treasury_dataframe_query (requires CANVAS_PROVIDER_TYPE=duckdb on the server).