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Nager.Date Public Holidays MCP.

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

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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  • F
    license
    Not graded
    quality
    D
    maintenance
    An MCP server that provides access to the Nager.Date API for retrieving public holiday information across various countries. It enables AI agents to interact with holiday data and date-related endpoints through standardized Model Context Protocol tools.
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TDQS

A3.8/5.0
Disambiguation2/5

Several tools overlap significantly: ask_pipeworx, ask_pipeworx_beta, and ask_pipeworx_grounded are nearly identical (the beta currently behaves exactly like the stable version), and deep_research also routes questions to the same sources. ai_visibility_check and scan_competitor_ai_presence overlap, as do discover_tools and suggest_questions, making it easy for an agent to pick the wrong tool.

Naming Consistency2/5

Tool names follow no consistent pattern: some are verb_phrase (list_subscriptions, resolve_entity, validate_claim), some are noun_phrase (entity_profile, recent_changes, pipeworx_trending), and several use a domain prefix (ask_pipeworx, polymarket_*, pipeworx_*). The server name 'Nager Holidays' has no relation to the tools' purpose, further breaking predictability.

Tool Count2/5

With 31 tools, the set is overstuffed and includes many redundant meta-tools (ask_pipeworx variants, discover_tools, suggest_questions, pipeworx_feedback, pipeworx_trending) and unrelated utilities (ai_visibility_check, scan_dependency, generate_llms_txt, memory tools). A more focused server would have 10-15 tools; this one tries to cover too many domains at once.

Completeness3/5

For the actual domain revealed by the tools (Pipeworx data research plus Polymarket analysis), coverage is fairly broad: querying, deep research, entity profiles, comparisons, claim validation, entity resolution, search-within, subscriptions, and multiple prediction-market analytics tools. However, the server name implies a holidays domain, which is completely absent, and some odd inclusions (AI visibility, npm dependency scanning) feel out of place, so the surface is incoherent overall.