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Treasury MCP — US Treasury Fiscal Data public API (free, no auth)

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Status
Unhealthy
Last Tested
Transport
Streamable HTTP
URL
Repository
pipeworx-io/mcp-treasury
GitHub Stars
0
Server Listing
mcp-treasury

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 1 tool update
    • Changeddeep_research1 field changed
      • changedInput schema / properties / depth / description
        Previous 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)."

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TDQS

A4.2/5.0
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.