A
licenseNot graded
qualityA
maintenanceQuery US Treasury national debt, interest rates, exchange rates, and fiscal datasets via MCP with STDIO or Streamable HTTP.
632 npm
3
Apache 2.0
treasury
Server Details
Treasury MCP — US Treasury Fiscal Data public API (free, no auth)
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- Status
- Unhealthy
- Uptime
- 5.9% over 78 days
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- pipeworx-io/mcp-treasury
- GitHub Stars
- 0
- Server Listing
- mcp-treasury
- ChatGPT
- –
- Claude
- –
TDQS
A4.2/5.0
Scored across 31 tools
Disambiguation4/5
Most tools have clearly distinct purposes, but the ask_pipeworx family (ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded) and deep_research overlap in function, which could cause confusion. Polymarket tools are well-separated.
Naming Consistency5/5
All tool names use a consistent snake_case convention with action-first verbs (e.g., 'resolve_entity', 'scan_dependency', 'validate_claim'). No mixed casing or stylistic variance.
Tool Count3/5
At 31 tools, the surface is heavy compared to the typical 3-15 range. However, the platform covers a wide breadth of domains (finance, economics, prediction markets, web tools, memory), so the count feels justified even if on the high end.
Completeness4/5
The tool set covers a comprehensive range of data lookups, research, entity resolution, prediction-market analytics, and utility functions. Minor gaps exist (e.g., no direct PyPI-specific scan), but the catalog is broad enough for most use cases.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- Changed
deep_research1 field changed- changed
Input schema / properties / depth / descriptionPrevious value: -"How many facets to research in parallel: quick=3 (single hop), standard=5 (default; adds a gap-recovery hop that re-angles unanswered facets + a contradictions[] scan across findings), thorough=8 (paid; adds a full iterative hop that chases leads + recovers gaps, plus the contradictions[] scan)."New value: +"How many facets to research in parallel: quick=3 (single hop), standard=3 (default; adds a gap-recovery hop that re-angles unanswered facets + a contradictions[] scan across findings), thorough=6 (paid; adds a full iterative hop that chases leads + recovers gaps, plus the contradictions[] scan)."
Related MCP Connectors
Treasury Fiscal MCP — US Treasury Fiscal Data API
Query US Treasury national debt, interest rates, exchange rates, and fiscal datasets via MCP.
Federal Register MCP — US Federal Register API (free, no auth)
USAspending MCP — Federal spending data from USAspending.gov API
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceA free, key-less MCP server for querying U.S. federal spending data from USAspending.gov, including contracts, grants, loans, recipients, agencies, and geographic breakdowns.MIT
- FlicenseNot gradedqualityDmaintenanceConnects to the US Treasury's Fiscal Data API, enabling users to fetch specific treasury statements, access historical data, and generate formatted reports.98 npm20-
- AlicenseNot gradedqualityDmaintenanceEnables querying U.S. Treasury fiscal data including debt, interest rates, auctions, and more via natural language, with no API key required.MIT
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