poetry
Server Details
Poetry MCP — PoetryDB API (free, no auth)
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- Status
- Unhealthy
- Uptime
- 12.1% over 37 days
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- pipeworx-io/mcp-poetry
- GitHub Stars
- 0
- Server Listing
- mcp-poetry
TDQS
Scored across 31 tools
Most tools have clearly distinct purposes, such as ask_pipeworx for general queries, entity_profile for company profiles, and polymarket_arbitrage for arbitrage scanning. The primary ambiguity is ask_pipeworx_beta, which is explicitly identical to ask_pipeworx, and there is some functional overlap between ask_pipeworx and deep_research, though descriptions do help differentiate them.
Naming conventions are mixed: some tools follow verb_noun (list_subscriptions, generate_llms_txt), others use noun_phrase (entity_profile, deep_research), and there are prefixed families like polymarket_* and ask_pipeworx_* that are internally consistent. The overall pattern is not uniform, making it harder to predict tool names.
With 31 tools, this exceeds the 25+ threshold for a heavy toolset. While the broad Pipeworx data platform and prediction-market focus justify a larger surface, the inclusion of meta-tools (suggest_questions, discover_tools) and near-duplicates (ask_pipeworx_beta) makes it feel bloated and potentially overwhelming for agents.
The toolset covers a wide range of operations: data querying, deep research, entity comparisons, claim verification, prediction-market analysis, subscriptions, memory management, and feedback. Minor gaps exist, such as no ability to modify a subscription (only cancel) or write data back to sources, but for a read-heavy data platform it is largely complete.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- Changed
deep_research1 field changed- changed
Input schema / properties / depth / descriptionPrevious 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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