treasury-fiscaldata-mcp-server

io.github.cyanheads/treasury-fiscaldata-mcp-serverVersion 0.4.0

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

Status

Responds275 msNov 14, 2026, 14:48 UTCAnswered our handshake without sign-in.

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Last checked: Nov 14, 2026, 14:48 UTC
Latency: 275 ms
Remotes responding: 1 of 1
Sign-in: No sign-in
Hosting: Hosted outside the EU (detected)
Registry data as of: Nov 14, 2026, 22:14 UTC

Data from the official MCP Registry, checked by run.zero. How we check

Connect

Streamable HTTP

https://treasury-fiscaldata.caseyjhand.com/mcpResponds275 msNov 14, 2026, 14:48 UTC

No sign-in

Claude Code

claude mcp add --transport http treasury-fiscaldata-mcp-server https://treasury-fiscaldata.caseyjhand.com/mcp

Claude Desktop and claude.ai

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Settings > Connectors > Add custom connector
Name: treasury-fiscaldata-mcp-server
Remote MCP server URL: https://treasury-fiscaldata.caseyjhand.com/mcp

Cursor

{
  "mcpServers": {
    "treasury-fiscaldata-mcp-server": {
      "url": "https://treasury-fiscaldata.caseyjhand.com/mcp"
    }
  }
}

VS Code

code --add-mcp '{"name":"treasury-fiscaldata-mcp-server","type":"http","url":"https://treasury-fiscaldata.caseyjhand.com/mcp"}'

Streamable HTTP

npm: @cyanheads/treasury-fiscaldata-mcp-server 0.4.0

Package only

npm (npx)

claude mcp add treasury-fiscaldata-mcp-server -- npx -y @cyanheads/treasury-fiscaldata-mcp-server@0.4.0

Streamable HTTP

npm: @cyanheads/treasury-fiscaldata-mcp-server 0.4.0

Package only

npm (npx)

claude mcp add treasury-fiscaldata-mcp-server -- npx -y @cyanheads/treasury-fiscaldata-mcp-server@0.4.0

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Tools

7 tools

Tools of treasury-fiscaldata-mcp-server
	Description		Read-only	Idempotent	Open world
`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.	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.	Not declared	Yes	Yes	No
`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.	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.	Not declared	Yes	Yes	No
`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.	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.	Not declared	Yes	Yes	Not declared
`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.	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.	Not declared	Yes	Yes	Not declared
`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.	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.	Not declared	Yes	Yes	Not declared
`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.	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.	Not declared	Yes	Yes	Not declared
`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).	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).	Not declared	Yes	Yes	Not declared

Details

Registry status: Active
Published: Oct 28, 2026
Updated: Oct 28, 2026
Website: Not given
Repository: https://github.com/cyanheads/treasury-fiscaldata-mcp-server⁠ (opens in a new tab)
Categories (suggested): Finance and paymentsSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR: Not declared

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