NYC Animals MCP — dog licensing and dog-bite records for New York City
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Scored across 39 tools
Several tools have heavily overlapping purposes: ask_pipeworx_beta is explicitly identical to ask_pipeworx, ask_pipeworx_grounded shares the same router, and deep_research/validate_claim/entity_profile/compare_entities all cover similar factual lookup territory. The long descriptions help, but an agent would frequently need to read extensive disclaimers to pick between near-duplicate options.
Most tools follow a predictable snake_case verb-first pattern like validate_claim, resolve_entity, compare_entities, and search_within. There are a few noun-first or bare-verb exceptions such as company_facts, entity_profile, remember, and forget, but the naming is broadly consistent and readable with no mixed casing conventions.
39 tools is heavy for a server purportedly named 'Nyc Animals,' and only 3 of them actually relate to NYC animals. Even as a general data platform the count is on the high side, but the name/scope mismatch makes the tool count feel excessive and unfocused.
For the apparent NYC-animals domain, the surface is severely incomplete: there is dog-bite data, dog licenses by breed, and dog-name search, but no cats, other animals, shelters, adoptions, or animal-related complaints. For the broader Pipeworx data-research scope it is fairly complete, but that does not match the server's stated identity.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
ai_visibility_check1 field changedInput schema / examplesAdded value: +[
+ {
+ "entity": "Tesla"
+ }
+]ask_pipeworx_beta1 field changedInput schema / examplesAdded value: +[
+ {
+ "question": "What is the current US unemployment rate?"
+ }
+]ask_pipeworx_grounded1 field changedInput schema / examplesAdded value: +[
+ {
+ "question": "What was Apple's fiscal 2023 revenue?"
+ }
+]company_factscompare_entities1 field changedInput schema / examplesAdded value: +[
+ {
+ "type": "company",
+ "values": [
+ "AAPL",
+ "MSFT"
+ ]
+ }
+]deep_research1 field changedInput schema / examplesAdded value: +[
+ {
+ "depth": "quick",
+ "question": "What is the current US unemployment rate and how has it changed over the past year?"
+ }
+]entity_profile1 field changedInput schema / examplesAdded value: +[
+ {
+ "type": "company",
+ "value": "AAPL"
+ }
+]generate_llms_txt1 field changedInput schema / examplesAdded value: +[
+ {
+ "url": "https://pipeworx.io"
+ }
+]kalshi_weather_edgepipeworx_feedback1 field changedInput schema / examplesAdded value: +[
+ {
+ "message": "Fleet #2184 smoke test: verifying pipeworx_feedback example call returns non-empty.",
+ "type": "other"
+ }
+]pipeworx_trending1 field changedInput schema / examplesAdded value: +[
+ {
+ "window": "7d"
+ }
+]polymarket_arbitrage1 field changedInput schema / examplesAdded value: +[
+ {
+ "topic": "Fed rate decision"
+ }
+]polymarket_edge_tracker1 field changedInput schema / examplesAdded value: +[
+ {
+ "days": 14,
+ "window": "1wk"
+ }
+]polymarket_edges3 fields changedInput schema / examplesAdded value: +[
+ {
+ "limit": 5,
+ "window": "1wk"
+ }
+]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."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."polymarket_fill_risk1 field changedInput 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
+ }
+]recent_changes1 field changedInput schema / examplesAdded value: +[
+ {
+ "since": "30d",
+ "type": "company",
+ "value": "AAPL"
+ }
+]release_calendar_marketsremember1 field changedInput schema / examplesAdded value: +[
+ {
+ "key": "target_ticker",
+ "value": "AAPL"
+ }
+]resolution_auditresolution_diffresolve_entity1 field changedInput schema / examplesAdded value: +[
+ {
+ "type": "company",
+ "value": "AAPL"
+ }
+]scan_competitor_ai_presence1 field changedInput schema / examplesAdded value: +[
+ {
+ "entities": [
+ "Pipeworx",
+ "Zapier"
+ ]
+ }
+]scan_dependency1 field changedInput schema / examplesAdded value: +[
+ {
+ "package": "left-pad"
+ }
+]search_within1 field changedInput 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."
+ }
+]suggest_questions1 field changedInput schema / examplesAdded value: +[
+ {
+ "topic": "finance"
+ }
+]validate_claim1 field changedInput schema / examplesAdded value: +[
+ {
+ "claim": "Apple's fiscal 2023 revenue was $383 billion"
+ }
+]ai_visibility_checkask_pipeworxask_pipeworx_betaask_pipeworx_groundedbet_researchcompare_entitiesdeep_researchdiscover_toolsentity_profileforgetgenerate_llms_txtlist_subscriptionsnyc_dog_bitesnyc_dog_licences_by_breednyc_search_animalpipeworx_feedbackpipeworx_trendingpolymarket_arbitragepolymarket_edge_trackerpolymarket_edgespolymarket_fill_riskpolymarket_kalshi_spreadrecallrecent_alertsrecent_changesrememberresolve_entityscan_competitor_ai_presencescan_dependencysearch_withinsubscribesuggest_questionsunsubscribevalidate_claimAustin Animal Services MCP — live shelter intake & outcome records from
NYC Open Data — US government open data (data.cityofnewyork.us) via the Socrata SoQL API: NYC…
New York State DMV MCP — registered vehicles and EV adoption by county/ZIP/make,
Sonoma County Animal Services MCP — live shelter intake & outcome records
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