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GovData.de MCP — Germany's national open-data portal (CKAN API).

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

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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Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.9/5.0
Disambiguation2/5

Several tools have overlapping purposes, particularly ask_pipeworx_beta which is explicitly identical to ask_pipeworx, and the cluster of research/profile tools (entity_profile, compare_entities, recent_changes, scan_competitor_ai_presence) share similar functionality. Agents may struggle to select the right tool.

Naming Consistency3/5

All names use snake_case, but there is no consistent verb-noun pattern; some are verb-first (validate_claim, resolve_entity), others noun-first (entity_profile, polymarket_arbitrage), and some are single verbs (subscribe, recall). Mixed conventions reduce consistency.

Tool Count2/5

31 tools is well above the threshold for a coherent set, and many are meta-tools (memory, subscriptions, trending, feedback) that pad the surface beyond the core data access functionality. The scope is broad but the count feels heavy.

Completeness5/5

The core domain of structured data access is thoroughly covered: lookup (ask_pipeworx), grounded verification (ask_pipeworx_grounded), deep research (deep_research), entity profiles, comparisons, claim validation, entity resolution, and discovery (discover_tools, suggest_questions). Memory and subscription lifecycle tools are also complete (create/read/delete/cancel).