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Stooq market-quotes MCP.

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

TDQS

A4/5.0
Disambiguation3/5

The tool set has several distinct clusters (data queries, Polymarket betting, memory, subscriptions), but there is notable overlap within clusters: ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, deep_research, and validate_claim all route questions to the same underlying data sources with different modes, which could cause confusion about which to select. Additionally, ai_visibility_check and scan_competitor_ai_presence are near-duplicates (single vs. multi-entity), as are remember/recall/forget and entity_profile/recent_changes.

Naming Consistency3/5

Naming is largely snake_case and descriptive, but there is no consistent verb_noun pattern: some tools are verbs (ask_pipeworx, compare_entities, resolve_entity), some are imperative actions (subscribe, unsubscribe, remember, forget), and the polymarket_* series uses a different prefix convention than the pipeworx_* series. Deep_research, entity_profile, and search_within break the pattern of prefix+noun by using a descriptive phrase first.

Tool Count3/5

31 tools is on the heavy side for a single server. While the server is a broad data-research platform spanning many domains (financials, drugs, economics, prediction markets), 31 feels like it could be consolidated—several tools are variants of the same core capability (ask_pipeworx vs. ask_pipeworx_beta vs. ask_pipeworx_grounded, polymarket_edges vs. polymarket_edge_tracker). The count is within a plausible range for such a platform but at the upper edge where discoverability and selection cost become concerns.

Completeness4/5

The tool surface is comprehensive for the stated purpose: querying structured data sources, researching companies, comparing entities, verifying claims, having prediction-markets tooling (arbitrage, edges, fill risk, cross-venue spread, edge persistence), memory (remember/recall/forget), subscriptions (subscribe/unsubscribe/recent_alerts/list_subscriptions), and meta-tooling (discover_tools, suggest_questions, pipeworx_feedback, pipeworx_trending). Minor gaps: no tool for direct raw data export or visualization, no explicit file/download tool, and the patents data path is noted as soft-failing (USPTO sunset), but these are peripheral to the core data-research mission.

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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