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Boardgames

by io.github.pipeworx-io
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Server Details

Boardgames MCP — wraps Board Game Atlas API (public demo client_id, free)

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Status
Unhealthy
Uptime
10.7% over 42 days
Last Tested
Transport
Streamable HTTP
URL
Repository
pipeworx-io/mcp-boardgames
GitHub Stars
0
Server Listing
boardgames

TDQS

A3.9/5.0

Scored across 31 tools

Disambiguation3/5

Tools are from diverse domains (data lookup, prediction markets, company analysis, memory, subscriptions), but some ambiguity exists between similar tools like ask_pipeworx and ask_pipeworx_beta, or entity_profile and compare_entities. However, descriptions provide enough differentiation for most tools.

Naming Consistency2/5

Naming conventions are mixed: some tools use snake_case, some camelCase, and verb placement varies. There is no consistent pattern like verb_noun, making it harder for an agent to predict tool names.

Tool Count2/5

31 tools is on the high side, bordering on excessive for a single server. While the scope is broad, a more focused or hierarchical design could reduce cognitive load. Some tools like ask_pipeworx_beta seem redundant with ask_pipeworx.

Completeness4/5

The tool set covers a wide range of tasks: data lookup, company profiles, prediction market analysis, memory, subscriptions, and feedback. Minor gaps like missing update operations for memory and subscriptions exist, but the overall coverage is strong for the intended use cases.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  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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