Ny Procurement
Server Details
New York State Procurement MCP — State contract awards & procurement (keyless).
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- Status
- Unhealthy
- Uptime
- 0.2% over 22 days
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- pipeworx-io/mcp-ny-procurement
- GitHub Stars
- 0
- Server Listing
- mcp-ny-procurement
TDQS
Scored across 38 tools
The set includes many distinct tools, but several overlap in purpose: ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, and deep_research all route questions to data sources, with nuanced differences that could confuse an agent. Similarly, polymarket_arbitrage, polymarket_edges, polymarket_edge_tracker, and polymarket_fill_risk all relate to prediction market opportunities, with overlapping concepts like edge and arb.
Tool names mostly follow a consistent verb_noun pattern (e.g., ask_pipeworx, compare_entities, resolve_entity, subscribe/unsubscribe). However, some names are brand-like (pipeworx_feedback, pipeworx_trending) and some are noun-phrases (kalshi_weather_edge, polymarket_edge_tracker) rather than verb-first, creating minor inconsistency.
With 38 tools, the server is heavily loaded. While many are meta-tools and specialized niche tools, the count exceeds the recommended range and many tools (e.g., ai_visibility_check, generate_llms_txt, scan_dependency) seem peripheral to the core data-provision purpose, suggesting scope creep.
The server offers comprehensive coverage for data lookups, prediction markets, research, and memory management, but gaps exist: the actual NY procurement domain only has two tools (ny_procurement_awards, ny_procurement_vendor), lacking CRUD or deeper analytics, and the AI visibility feature lacks a delete/update operation.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
25 tool updates
- Changed
ai_visibility_check1 field changed- added
Input schema / examplesAdded value: +[ + { + "entity": "Tesla" + } +]
- Changed
ask_pipeworx3 fields changed- added
Input schema / properties / askAdded value: +{ + "description": "Alias for question.", + "type": "string" +} - added
Input schema / properties / messageAdded value: +{ + "description": "Alias for question.", + "type": "string" +} - changed
Input schema / properties / question / descriptionPrevious value: -"Your question or request in natural language. Accepts query, q, prompt, text, input as aliases."New value: +"Your question or request in natural language. Accepts query, q, prompt, text, input, ask, message as aliases."
- Changed
ask_pipeworx_beta4 fields changed- added
Input schema / examplesAdded value: +[ + { + "question": "What is the current US unemployment rate?" + } +] - added
Input schema / properties / askAdded value: +{ + "description": "Alias for question.", + "type": "string" +} - added
Input schema / properties / messageAdded value: +{ + "description": "Alias for question.", + "type": "string" +} - changed
Input schema / properties / question / descriptionPrevious value: -"Your question or request in natural language. Accepts query, q, prompt, text, input as aliases."New value: +"Your question or request in natural language. Accepts query, q, prompt, text, input, ask, message as aliases."
- Changed
ask_pipeworx_grounded4 fields changed- added
Input schema / examplesAdded value: +[ + { + "question": "What was Apple's fiscal 2023 revenue?" + } +] - added
Input schema / properties / askAdded value: +{ + "description": "Alias for question.", + "type": "string" +} - added
Input schema / properties / messageAdded value: +{ + "description": "Alias for question.", + "type": "string" +} - changed
Input schema / properties / question / descriptionPrevious value: -"Your question in natural language. Accepts query, q, prompt, text, input as aliases."New value: +"Your question in natural language. Accepts query, q, prompt, text, input, ask, message as aliases."
- Changed
company_facts4 fields changed- added
Input schema / examplesAdded value: +[ + { + "attribute": "revenue", + "company": "AAPL", + "period": { + "fiscal_year": 2023, + "type": "annual" + } + } +] - added
Input schema / properties / as_ofAdded value: +{ + "description": "Past ISO timestamp with timezone. Replay the latest answer actually recorded by that instant; no invented history or live fallback.", + "type": "string" +} - added
Input schema / properties / freshnessAdded value: +{ + "description": "cached (default) permits an eligible stored answer; fresh requires an upstream refresh and never silently falls back to stale data.", + "enum": [ + "cached", + "fresh" + ], + "type": "string" +} - added
Input schema / properties / max_ageAdded value: +{ + "description": "Maximum age in seconds of the upstream publication, not our fetch. Older or undated facts are withheld.", + "maximum": 3155760000, + "minimum": 0, + "type": "number" +}
- Changed
compare_entities1 field changed- added
Input schema / examplesAdded value: +[ + { + "type": "company", + "values": [ + "AAPL", + "MSFT" + ] + } +]
- Changed
deep_research9 fields changed- added
Input schema / examplesAdded value: +[ + { + "depth": "quick", + "question": "What is the current US unemployment rate and how has it changed over the past year?" + } +] - added
Input schema / properties / askAdded value: +{ + "description": "Alias for question.", + "type": "string" +} - added
Input schema / properties / inputAdded value: +{ + "description": "Alias for question.", + "type": "string" +} - added
Input schema / properties / messageAdded value: +{ + "description": "Alias for question.", + "type": "string" +} - added
Input schema / properties / promptAdded value: +{ + "description": "Alias for question.", + "type": "string" +} - added
Input schema / properties / qAdded value: +{ + "description": "Alias for question.", + "type": "string" +} - added
Input schema / properties / queryAdded value: +{ + "description": "Alias for question.", + "type": "string" +} - changed
Input schema / properties / question / descriptionPrevious value: -"The research question, in natural language. Broad/multi-part is fine — decomposition is the point."New value: +"The research question, in natural language. Broad/multi-part is fine — decomposition is the point. Accepts query, q, prompt, text, input, ask, message as aliases." - added
Input schema / properties / textAdded value: +{ + "description": "Alias for question.", + "type": "string" +}
- Changed
entity_profile1 field changed- added
Input schema / examplesAdded value: +[ + { + "type": "company", + "value": "AAPL" + } +]
- Changed
forget4 fields changed- added
Input schema / properties / kAdded value: +{ + "description": "Alias for key.", + "type": "string" +} - changed
Input schema / properties / key / descriptionPrevious value: -"Memory key to delete"New value: +"Memory key to delete. Accepts name, k, label as aliases." - added
Input schema / properties / labelAdded value: +{ + "description": "Alias for key.", + "type": "string" +} - added
Input schema / properties / nameAdded value: +{ + "description": "Alias for key.", + "type": "string" +}
- Changed
generate_llms_txt1 field changed- added
Input schema / examplesAdded value: +[ + { + "url": "https://pipeworx.io" + } +]
- Changed
pipeworx_feedback1 field changed- added
Input schema / examplesAdded value: +[ + { + "message": "Fleet #2184 smoke test: verifying pipeworx_feedback example call returns non-empty.", + "type": "other" + } +]
- Changed
pipeworx_trending1 field changed- added
Input schema / examplesAdded value: +[ + { + "window": "7d" + } +]
- Changed
polymarket_arbitrage1 field changed- added
Input schema / examplesAdded value: +[ + { + "topic": "Fed rate decision" + } +]
- Changed
polymarket_edge_tracker1 field changed- added
Input schema / examplesAdded value: +[ + { + "days": 14, + "window": "1wk" + } +]
- Changed
polymarket_edges3 fields changed- added
Input schema / examplesAdded value: +[ + { + "limit": 5, + "window": "1wk" + } +] - changed
Input schema / properties / min_edge_pp / descriptionPrevious value: -"Minimum |edge| in percentage points to include (default 0.5). Edge is evaluated NET of slippage."New value: +"Minimum |edge| in percentage points to include (default 0.5). Edge is evaluated NET of slippage and Polymarket's own taker fee." - changed
Input schema / properties / slippage_pp / descriptionPrevious value: -"Assumed execution slippage in percentage points per leg (default 0.3). Subtracted from raw |edge| before ranking and Kelly sizing. Polymarket has zero trading fees as of 2024 but bid/ask + thin depth typically eats 20-50bp per trade. Bump for very thin partitions; drop to 0 if you have a smarter fill model."New value: +"Assumed execution slippage in percentage points per leg (default 0.3), for bid/ask + thin depth cost that a last-trade price does not show. Subtracted from raw |edge| before ranking and Kelly sizing, ON TOP OF Polymarket's own taker fee — which is NOT zero (rate 0.04-0.07 depending on category, read off each market's own published fee schedule; see fees_pp_applied on every row and fees.ts for the full schedule). Bump slippage for very thin partitions; drop to 0 if you have a smarter fill model — the fee still applies regardless."
- Changed
polymarket_fill_risk1 field changed- added
Input schema / examplesAdded value: +[ + { + "market": "will-the-fed-increase-interest-rates-by-25-bps-after-the-december-2026-meeting-20260729232808636", + "side": "buy_yes", + "size_usd": 1000 + } +]
- Changed
recall4 fields changed- added
Input schema / properties / kAdded value: +{ + "description": "Alias for key.", + "type": "string" +} - changed
Input schema / properties / key / descriptionPrevious value: -"Memory key to retrieve (omit to list all keys)"New value: +"Memory key to retrieve (omit to list all keys). Accepts name, k, label as aliases." - added
Input schema / properties / labelAdded value: +{ + "description": "Alias for key.", + "type": "string" +} - added
Input schema / properties / nameAdded value: +{ + "description": "Alias for key.", + "type": "string" +}
- Changed
recent_changes1 field changed- added
Input schema / examplesAdded value: +[ + { + "since": "30d", + "type": "company", + "value": "AAPL" + } +]
- Changed
remember10 fields changed- added
Input schema / examplesAdded value: +[ + { + "key": "target_ticker", + "value": "AAPL" + } +] - added
Input schema / properties / contentAdded value: +{ + "description": "Alias for value.", + "type": "string" +} - added
Input schema / properties / dataAdded value: +{ + "description": "Alias for value.", + "type": "string" +} - added
Input schema / properties / kAdded value: +{ + "description": "Alias for key.", + "type": "string" +} - changed
Input schema / properties / key / descriptionPrevious value: -"Memory key (e.g., \"subject_property\", \"target_ticker\", \"user_preference\")"New value: +"Memory key (e.g., \"subject_property\", \"target_ticker\", \"user_preference\"). Accepts name, k, label as aliases." - added
Input schema / properties / labelAdded value: +{ + "description": "Alias for key.", + "type": "string" +} - added
Input schema / properties / nameAdded value: +{ + "description": "Alias for key.", + "type": "string" +} - added
Input schema / properties / textAdded value: +{ + "description": "Alias for value.", + "type": "string" +} - added
Input schema / properties / vAdded value: +{ + "description": "Alias for value.", + "type": "string" +} - changed
Input schema / properties / value / descriptionPrevious value: -"Value to store (any text — findings, addresses, preferences, notes)"New value: +"Value to store (any text — findings, addresses, preferences, notes). Accepts content, text, data, v as aliases; a non-string value is stored as JSON."
- Changed
resolve_entity1 field changed- added
Input schema / examplesAdded value: +[ + { + "type": "company", + "value": "AAPL" + } +]
- Changed
scan_competitor_ai_presence1 field changed- added
Input schema / examplesAdded value: +[ + { + "entities": [ + "Pipeworx", + "Zapier" + ] + } +]
- Changed
scan_dependency1 field changed- added
Input schema / examplesAdded value: +[ + { + "package": "left-pad" + } +]
- Changed
search_within1 field changed- added
Input schema / examplesAdded value: +[ + { + "query": "supply-chain risk", + "text": "Apple Inc. reported fiscal 2023 revenue of $383.285 billion, driven by strong iPhone and Services growth. Net income was $96.995 billion. The company faced supply-chain risk in China during the quarter." + } +]
- Changed
suggest_questions1 field changed- added
Input schema / examplesAdded value: +[ + { + "topic": "finance" + } +]
- Changed
validate_claim1 field changed- added
Input schema / examplesAdded value: +[ + { + "claim": "Apple's fiscal 2023 revenue was $383 billion" + } +]
38 tool updates
- First observed
ai_visibility_check - First observed
ask_pipeworx - First observed
ask_pipeworx_beta - First observed
ask_pipeworx_grounded - First observed
bet_research - First observed
company_facts - First observed
compare_entities - First observed
deep_research - First observed
discover_tools - First observed
entity_profile - First observed
forget - First observed
generate_llms_txt - First observed
kalshi_weather_edge - First observed
list_subscriptions - First observed
ny_procurement_awards - First observed
ny_procurement_vendor - First observed
pipeworx_feedback - First observed
pipeworx_trending - First observed
polymarket_arbitrage - First observed
polymarket_edge_tracker - First observed
polymarket_edges - First observed
polymarket_fill_risk - First observed
polymarket_kalshi_spread - First observed
recall - First observed
recent_alerts - First observed
recent_changes - First observed
release_calendar_markets - First observed
remember - First observed
resolution_audit - First observed
resolution_diff - First observed
resolve_entity - First observed
scan_competitor_ai_presence - First observed
scan_dependency - First observed
search_within - First observed
subscribe - First observed
suggest_questions - First observed
unsubscribe - First observed
validate_claim
Related MCP Connectors
Texas State Procurement MCP — State cooperative-contract awards & vendor sales (keyless).
California State Procurement MCP — State contract awards & purchase orders (keyless).
Taiwan Government Procurement MCP — 政府電子採購網 (PCC) tenders (keyless).
Singapore Government Procurement MCP — GeBIZ tender awards (keyless).
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