Nps
Server Details
NPS MCP — US National Park Service (free key, generous limits)
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- Status
- Unhealthy
- Uptime
- 39.0% over 43 days
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- pipeworx-io/mcp-nps
- GitHub Stars
- 0
- Server Listing
- @pipeworx/nps
TDQS
Scored across 42 tools
Most tools have clearly distinct purposes, and the descriptions actively cross-reference related tools to steer agents correctly. A few pairs could still be confused — ask_pipeworx vs ask_pipeworx_beta are currently identical, and some prediction-market tools overlap in intent — but the descriptions are detailed enough to resolve most ambiguity.
The vast majority of tool names follow a consistent snake_case verb_noun pattern, with clear prefixes like ask_pipeworx_, polymarket_*, resolution_*, and list_*. Minor deviations exist — remember/recall/forget, nps_visitation, ascal_weather_edge — but they do not seriously undermine predictability.
42 tools is well over the 25-tool threshold, even for a broad data/research aggregator. The set mixes national-park tools, Pipeworx data-query tools, prediction-market tools, memory tools, and subscription tools, which makes the overall surface feel heavy and diffuse rather than tightly scoped.
Each major sub-domain is fairly well covered: NPS parks have list/get/alerts/campgrounds/things-to-do/visitation, data research has ask variants, deep_research, entity_profile, company_facts, compare, resolve, and validate, and prediction markets have arbitrage, edge tracking, fill risk, and resolution auditing. Minor gaps exist — e.g. no direct NPS events endpoint or a dedicated web-search tool — but agents can work around them.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
26 tool updates
- Changed
ai_visibility_check1 field changed- added
Input schema / examplesAdded value: +[ + { + "entity": "Tesla" + } +]
- Changed
ask_pipeworx_beta1 field changed- added
Input schema / examplesAdded value: +[ + { + "question": "What is the current US unemployment rate?" + } +]
- Changed
ask_pipeworx_grounded1 field changed- added
Input schema / examplesAdded value: +[ + { + "question": "What was Apple's fiscal 2023 revenue?" + } +]
- Added
company_facts - Changed
compare_entities1 field changed- added
Input schema / examplesAdded value: +[ + { + "type": "company", + "values": [ + "AAPL", + "MSFT" + ] + } +]
- Changed
deep_research1 field 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?" + } +]
- Changed
entity_profile1 field changed- added
Input schema / examplesAdded value: +[ + { + "type": "company", + "value": "AAPL" + } +]
- Changed
generate_llms_txt1 field changed- added
Input schema / examplesAdded value: +[ + { + "url": "https://pipeworx.io" + } +]
- Added
kalshi_weather_edge - 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
recent_changes1 field changed- added
Input schema / examplesAdded value: +[ + { + "since": "30d", + "type": "company", + "value": "AAPL" + } +]
- Added
release_calendar_markets - Changed
remember1 field changed- added
Input schema / examplesAdded value: +[ + { + "key": "target_ticker", + "value": "AAPL" + } +]
- Added
resolution_audit - Added
resolution_diff - 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" + } +]
2 tool updates
- Changed
bet_research2 fields changed- changed
Input schema / examplesPrevious value: -[ - { - "market": "will-bitcoin-reach-100k-in-july-2026" - }, - { - "market": "https://polymarket.com/event/will-bitcoin-hit-150k-by-june-30-2026" - } -]New value: +[ + { + "market": "will-kristi-noem-win-the-2028-republican-presidential-nomination" + }, + { + "market": "https://polymarket.com/event/will-kristi-noem-win-the-2028-republican-presidential-nomination" + } +] - changed
Input schema / properties / market / descriptionPrevious value: -"Polymarket slug (\"will-bitcoin-hit-150k-by-june-30-2026\"), full URL (\"https://polymarket.com/event/...\"), or question text (\"Will Bitcoin hit $150k by June 30?\")"New value: +"Polymarket slug (\"will-kristi-noem-win-the-2028-republican-presidential-nomination\"), full URL (\"https://polymarket.com/event/...\"), or question text (\"Will Bitcoin hit $150k?\"). Dated slugs stop resolving once they settle — Polymarket de-indexes resolved markets — so prefer an undated one."
- Changed
polymarket_kalshi_spread2 fields changed- changed
Input schema / examplesPrevious value: -[ - { - "topic": "fed" - }, - { - "topic": "btc" - } -]New value: +[ + { + "topic": "fed" + }, + { + "topic": "btc" + }, + { + "topic": "bitcoin" + }, + { + "topic": "fed rate decision" + } +] - changed
Input schema / properties / topic / descriptionPrevious value: -"Pre-mapped: fed | btc | cpi | gdp | sp500 | recession | next_pope | next_uk_pm | next_israel_pm | 2028_president"New value: +"Subject to compare. Canonical keys: fed | btc | eth | cpi | gdp | sp500 | recession | next_pope | next_uk_pm | next_israel_pm | 2028_president — but aliases and keywords resolve too (\"bitcoin\", \"fed rate decision\", \"ethereum\", \"inflation\", \"s&p 500\", \"us recession\", \"next pope\", \"2028 election\"). Check resolution.topic_matched_by in the response: \"exact\"/\"alias\" is a curated pairing, \"phrase\"/\"token\" is a keyword guess."
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