"iFood" matching MCP tools:

• ifood_vendas_cardapioA

  iFoodA

  Retorna o catálogo/cardápio da loja no iFood (produtos, categorias e preços).

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• ifood_vendas_disponibilidadeA

  iFoodA

  Status de disponibilidade da loja no iFood (aberta/fechada, pausas e horários).

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• ifood_vendas_lojaA

  iFoodA

  Dados da conta/loja no Portal do Parceiro iFood (perfil, papéis e permissões).

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• ifood_vendas_repassesA

  iFoodA

  Lista os lançamentos financeiros / repasses da loja no iFood (extrato financeiro do Portal do Parceiro).

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• polymarket_arbitrageA

  Uk Food HygieneA

  Find arbitrage opportunities on Polymarket via monotonicity violations + partition-sum checks. Call with NO args for a `trending_scan` of the top ~200 markets by weekly volume; pass `event` for the strongest per-event partition_check, or `topic` for a themed cross-event scan. `event` (recommended for a specific market): pass a Polymarket event slug like "fed-decision-may-2026" or "when-will-bitcoin-hit-150k"; walks child markets, checks date-axis / threshold-axis ordering AND computes the partition_check (sum of YES prices across mutually-exclusive legs — should ≈1; deviations >3pp emit a BUY/SELL EVERY LEG signal). `topic` (for cross-event scanning): pass a seed question like "Strait of Hormuz traffic returns to normal" or "Fed rate decision"; searches related events across the platform, flattens markets, runs the comparator on the union. Cross-event mode catches "...by May 31" vs "...by Jun 30" patterns that single-event misses. SEMANTIC ANCHOR: cross-event pairs require ≥0.30 Jaccard similarity on question tokens (prevents Powell-Fed-Pause being paired with Powell-DOJ-probe); skipped_low_similarity surfaces the rejected pair count. PARTITION FILTER: drops will-person-X / will-manager-Y / will-someone-else- placeholder slugs; partitions with >20% placeholder fraction return null arb signal. Response: opportunities[] (gap_pp, suggested_trade, reasoning, monotonicity violation context), and in event mode partition_check{sum_yes_prices, gap_from_1, placeholders_filtered, suggested_trade}. FEES: every opportunities[] row and partition_check.arbitrage carry edge_pp_gross (== gap_pp / overround_pp), fees_pp, edge_pp_net, net_positive, plus polymarket_fee_pp, fee_basis and fee_categories[]. BOTH cost components are modeled: Polymarket's own per-category TAKER FEE (fee = shares × rate × p × (1-p), rates crypto 0.07 / sports-economics-culture-weather-other 0.05 / finance-politics-mentions-tech 0.04, geopolitics and world events fee-free; verified against Polymarket's own docs as of 2026-09-13) and Polygon gas (~$0.02/leg). The taker fee dominates: ~$1.75 per 100 shares on a crypto market at 50c versus $0.02 of gas, so rows that looked profitable before fleet #1927 may now show net_positive:false — that is the correction, not a regression. Each leg is priced at ITS OWN market's rate and price (the fee curve peaks at 50c and falls toward both extremes). fee_basis says where the rate came from: 'payload' (read off the market, the normal case), 'category' (mapped from its fee category), 'fee_free', or 'fallback' (rate unknown — charged at the modal 0.05 rather than assumed free, so an unreadable market is never reported as costless). Where fill_check reprices against live depth, this does NOT double-count that spread cost. FILL CHECK: when the partition signal fires, arbitrage.fill_check prices it against live CLOB depth (theoretical_edge_pp_at_book vs realizable_edge_pp at 1000 shares/leg, thin_legs[]) — realizable_edge_pp ≤ 0 means the overround exists only at last-trade, not in the book; do not trade it. For custom sizing use polymarket_fill_risk.

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• resolution_auditA

  Uk Food HygieneA

  Extract the settlement clause of a single Polymarket or Kalshi market: who publishes the settling number (source), the clock time + timezone it is taken at, the precision of the computation (e.g. "1-minute candle close" vs "60-second trailing average" vs "election outcome"), the evidence standard (official_source | consensus_reporting | any_credible_report | unspecified), and void_handling (cancellation/postponement settlement — reused verbatim from bet_research's cancellation_rule detector, not re-derived). Parses Polymarket's `description` field (fetched via polymarket_market) or Kalshi's `rules_primary` + `rules_secondary` fields (fetched via kalshi_market) with regex + a small vocabulary — no LLM pass, so an unusual clause reports confidence:"low" rather than a guess. Pass `market` as a Polymarket slug/URL or a Kalshi market ticker (e.g. "KXBTCD-26SEP1317-T66999.99"); a Kalshi EVENT ticker (e.g. "KXBTCD-26SEP1317") also works — it picks one representative market under that event, since the settlement mechanism is normally shared across all strikes/legs in one event. Use this before treating a polymarket_kalshi_spread row as a real arbitrage: two ladders that look alike can settle on different sources, at different times, with different precision — this tool is how you check. Pair with resolution_diff to compare two markets directly. KNOWN GAP: idiosyncratic phrasing that doesn't match the vocabulary returns confidence:"low" and evidence_standard:"unspecified" rather than an LLM-guessed answer.

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• polymarket_fill_riskA

  Uk Food HygieneA

  Realizable-vs-theoretical edge check against live CLOB order-book depth. REQUIRES one of `market` (single-market mode) or `event` (basket/partition mode). SINGLE-MARKET: pass a market slug/URL + side (buy_yes|sell_yes|buy_no|sell_no, default buy_yes) + size_usd (default 1000 — max spend on buys, target proceeds on sells); walks the ladder and returns top_of_book, vwap_fill_price, slippage_pp, shares_filled, max_fillable_usd, and a verdict (clean|degraded|cannot_fill). BASKET: pass an event slug/URL + side (sell_yes = capture overround by selling every leg, buy_yes = capture underround; default auto from partition sum) + size_usd interpreted as settlement notional S (shares per leg; each share pays $1); returns theoretical_sum vs realizable_sum (top-of-book vs VWAP across all legs), capture_ratio, profit_usd at executed size, per-leg fill detail, thin_legs[], max_clean_notional_usd, and forced_directional_risk naming the legs most likely to strand you unhedged. USE THIS before acting on any polymarket_arbitrage SELL/BUY-EVERY-LEG signal or any polymarket_edges trade above ~$500 — theoretical overround on thin books is not capturable, and partial basket fills convert an arb into an unhedged directional position (the dominant loss mode in real arb-bot P&L). FEES ARE NOT MODELLED HERE: vwap_fill_price/profit_usd are GROSS of Polymarket's own taker fee (rate 0.04-0.07 by category — see polymarket_edges/fees.ts), on top of which this tool prices depth-crossing cost; a thin-margin fill that looks clean here can still be net-negative after the fee.

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• kalshi_weather_edgeA

  Uk Food HygieneA

  Prices Kalshi daily high-temperature markets against the NWS forecast for the market's OWN settlement station, and measures whether that forecast actually beats the market. Two modes. LIVE (default): returns the full strike ladder for one city and settlement date with market_prob (mid), forecast_prob, and edge_pp per strike, plus the settlement clause verbatim. BACKTEST (`backtest_days: N`): scores an archived gridded forecast against the market on settled days and returns brier_market vs brier_forecast with a plain-English `verdict`, so the edge is MEASURED rather than asserted. READ THE WARNINGS — they are not boilerplate. (1) These markets DO NOT settle on the NWS. They settle on The Weather Company (weather.com) at a Kalshi station code such as CLINYC, which the response quotes verbatim; so part of every edge_pp is NWS-vs-Weather-Company disagreement about the same day at the same station, which is not mispricing and not tradeable. `settlement_vs_forecast_basis_f` from backtest mode is that part as a number. (2) The station is DERIVED from the settlement clause, never from the city name: Chicago settles at MIDWAY and New York at CENTRAL PARK, so a city-centre forecast would misprice a whole ladder. A station that cannot be resolved yields rows with no forecast and a reason, never a guessed coordinate. (3) forecast_prob assumes a normal distribution around the NWS high whose width is ASSUMED, not fitted (stated in `distribution_assumption`) — run backtest mode to see whether it is calibrated. (4) edge_pp is gross: no Kalshi fees, no bid-ask. MEASURED RESULT, AND IT IS NOT THE FLATTERING ONE: on the first backtest (KXHIGHNY, 13 settled days to 2026-09-11, 58 market observations) the MARKET beat the forecast — Brier 0.1008 for the market against 0.1594 for the archived gridded forecast, lower being better. So on that sample there is NO forecast edge to sell, and a large edge_pp is more likely to be the model disagreeing with a better-informed market than an opportunity. The measured settlement-vs-forecast basis was 1.7F mean absolute over 8 pinnable days, slightly warm-biased, which is a big share of a typical edge_pp on a 2-degree bracket. Re-run backtest_days before believing any edge; if a later sample reverses this, the numbers say so. NWS is US-only, so the ~30 international Kalshi weather series (London, Paris, Tokyo) return market prices with forecast_unavailable rather than a forecast. Precipitation series are listed but not yet priced. Cities: nyc, chicago, los angeles, miami, austin, houston, denver, philadelphia — or pass `series_ticker` for any other (e.g. "KXHIGHTBOS").

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• pipeworx_feedbackA

  Uk Food HygieneA

  Tell the Pipeworx team something is broken, missing, or needs to exist. Use when a tool returns wrong/stale data (bug), when a tool you wish existed isn't in the catalog (feature/data_gap), or when something worked surprisingly well (praise). ONLY for tools served by this Pipeworx connection — if the tool came from a different MCP server in your client (another vendor's Gmail, Splunk, Slack, etc. connector), we cannot fix it and reporting it here only delays you; file it with that server instead. Not sure? Pipeworx tool names are the ones this connection lists. Describe the issue in terms of Pipeworx tools/packs — don't paste the end-user's prompt. Filing without an account returns a `claim_token`; pass it back later as pipeworx_feedback({claim_token:"pwfb_…"}) to read whether it was fixed and what changed. The team reads digests daily and signal directly affects roadmap. Rate-limited to 5 per identifier per day. Free; doesn't count against your tool-call quota.

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• search_placesA

  Vila BuarqueA

  Search for places (restaurants, cafes, shops, etc.) in this neighborhood. The `q` match is accent-insensitive and typo-tolerant ("acai" finds "Açaí", "restaurnt" finds "Restaurante"), ranked by relevance. Compose filters for multi-condition queries: `category`, `neighborhood`, `open_now` (true = open at this exact moment), and `attributes` (amenity slugs, ALL must match). Each result includes a precomputed `open_now` boolean, an `attributes` array (amenity slugs), a `delivery` array of curated delivery-app deep-links (ifood, rappi, 99food, uber-eats — each `{ platform, url }`), rating, and structured `hours` (Google Maps periods: day 0=Sun–6=Sat, time "HHMM"). Common amenity slugs: wifi, outdoor-seating, wheelchair, dog-friendly, delivery, takeaway, reservations, live-music, vegan, gluten-free (availability varies per place).

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• get_score_alimconfianceA

  Frigolog HACCP — French Food Safety ComplianceA

  Retourne le fonctionnement complet du score Alim'confiance, dispositif officiel de publication des résultats d'inspection sanitaire DDPP en France depuis avril 2017 (alim-confiance.gouv.fr). Détaille les 4 niveaux de notation (très satisfaisant, satisfaisant, à améliorer, à corriger de manière urgente), les 6 critères d'évaluation, la fréquence des inspections (3 à 7 ans en moyenne), et les actions concrètes pour améliorer son score lors d'un contrôle officiel. Pour récupérer le score d'un établissement précis, utilisez get_alimconfiance_etablissement. [EN] Explains how France's official Alim'confiance sanitary-inspection scoring works (4 levels, 6 criteria, inspection frequency, how to improve). For one establishment's score, use get_alimconfiance_etablissement.

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• search_placesA

  Bela VistaA

  Search for places (restaurants, cafes, shops, etc.) in this neighborhood. The `q` match is accent-insensitive and typo-tolerant ("acai" finds "Açaí", "restaurnt" finds "Restaurante"), ranked by relevance. Compose filters for multi-condition queries: `category`, `neighborhood`, `open_now` (true = open at this exact moment), and `attributes` (amenity slugs, ALL must match). Each result includes a precomputed `open_now` boolean, an `attributes` array (amenity slugs), a `delivery` array of curated delivery-app deep-links (ifood, rappi, 99food, uber-eats — each `{ platform, url }`), rating, and structured `hours` (Google Maps periods: day 0=Sun–6=Sat, time "HHMM"). Common amenity slugs: wifi, outdoor-seating, wheelchair, dog-friendly, delivery, takeaway, reservations, live-music, vegan, gluten-free (availability varies per place).

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• search_placesA

  TatuapéA

  Search for places (restaurants, cafes, shops, etc.) in this neighborhood. The `q` match is accent-insensitive and typo-tolerant ("acai" finds "Açaí", "restaurnt" finds "Restaurante"), ranked by relevance. Compose filters for multi-condition queries: `category`, `neighborhood`, `open_now` (true = open at this exact moment), and `attributes` (amenity slugs, ALL must match). Each result includes a precomputed `open_now` boolean, an `attributes` array (amenity slugs), a `delivery` array of curated delivery-app deep-links (ifood, rappi, 99food, uber-eats — each `{ platform, url }`), rating, and structured `hours` (Google Maps periods: day 0=Sun–6=Sat, time "HHMM"). Common amenity slugs: wifi, outdoor-seating, wheelchair, dog-friendly, delivery, takeaway, reservations, live-music, vegan, gluten-free (availability varies per place).

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• search_placesA

  Agenda RioA

  Search for places (restaurants, cafes, shops, etc.) in this neighborhood. The `q` match is accent-insensitive and typo-tolerant ("acai" finds "Açaí", "restaurnt" finds "Restaurante"), ranked by relevance. Compose filters for multi-condition queries: `category`, `neighborhood`, `open_now` (true = open at this exact moment), and `attributes` (amenity slugs, ALL must match). Each result includes a precomputed `open_now` boolean, an `attributes` array (amenity slugs), a `delivery` array of curated delivery-app deep-links (ifood, rappi, 99food, uber-eats — each `{ platform, url }`), rating, and structured `hours` (Google Maps periods: day 0=Sun–6=Sat, time "HHMM"). Common amenity slugs: wifi, outdoor-seating, wheelchair, dog-friendly, delivery, takeaway, reservations, live-music, vegan, gluten-free (availability varies per place).

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• search_placesA

  AclimaçãoA

  Search for places (restaurants, cafes, shops, etc.) in this neighborhood. The `q` match is accent-insensitive and typo-tolerant ("acai" finds "Açaí", "restaurnt" finds "Restaurante"), ranked by relevance. Compose filters for multi-condition queries: `category`, `neighborhood`, `open_now` (true = open at this exact moment), and `attributes` (amenity slugs, ALL must match). Each result includes a precomputed `open_now` boolean, an `attributes` array (amenity slugs), a `delivery` array of curated delivery-app deep-links (ifood, rappi, 99food, uber-eats — each `{ platform, url }`), rating, and structured `hours` (Google Maps periods: day 0=Sun–6=Sat, time "HHMM"). Common amenity slugs: wifi, outdoor-seating, wheelchair, dog-friendly, delivery, takeaway, reservations, live-music, vegan, gluten-free (availability varies per place).

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• search_placesA

  Agenda SPA

  Search for places (restaurants, cafes, shops, etc.) in this neighborhood. The `q` match is accent-insensitive and typo-tolerant ("acai" finds "Açaí", "restaurnt" finds "Restaurante"), ranked by relevance. Compose filters for multi-condition queries: `category`, `neighborhood`, `open_now` (true = open at this exact moment), and `attributes` (amenity slugs, ALL must match). Each result includes a precomputed `open_now` boolean, an `attributes` array (amenity slugs), a `delivery` array of curated delivery-app deep-links (ifood, rappi, 99food, uber-eats — each `{ platform, url }`), rating, and structured `hours` (Google Maps periods: day 0=Sun–6=Sat, time "HHMM"). Common amenity slugs: wifi, outdoor-seating, wheelchair, dog-friendly, delivery, takeaway, reservations, live-music, vegan, gluten-free (availability varies per place).

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• search_placesA

  PinheirosA

  Search for places (restaurants, cafes, shops, etc.) in this neighborhood. The `q` match is accent-insensitive and typo-tolerant ("acai" finds "Açaí", "restaurnt" finds "Restaurante"), ranked by relevance. Compose filters for multi-condition queries: `category`, `neighborhood`, `open_now` (true = open at this exact moment), and `attributes` (amenity slugs, ALL must match). Each result includes a precomputed `open_now` boolean, an `attributes` array (amenity slugs), a `delivery` array of curated delivery-app deep-links (ifood, rappi, 99food, uber-eats — each `{ platform, url }`), rating, and structured `hours` (Google Maps periods: day 0=Sun–6=Sat, time "HHMM"). Common amenity slugs: wifi, outdoor-seating, wheelchair, dog-friendly, delivery, takeaway, reservations, live-music, vegan, gluten-free (availability varies per place).

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• search_placesA

  BogeylandA

  Search for places (restaurants, cafes, shops, etc.) in this neighborhood. The `q` match is accent-insensitive and typo-tolerant ("acai" finds "Açaí", "restaurnt" finds "Restaurante"), ranked by relevance. Compose filters for multi-condition queries: `category`, `neighborhood`, `open_now` (true = open at this exact moment), and `attributes` (amenity slugs, ALL must match). Each result includes a precomputed `open_now` boolean, an `attributes` array (amenity slugs), a `delivery` array of curated delivery-app deep-links (ifood, rappi, 99food, uber-eats — each `{ platform, url }`), rating, and structured `hours` (Google Maps periods: day 0=Sun–6=Sat, time "HHMM"). Common amenity slugs: wifi, outdoor-seating, wheelchair, dog-friendly, delivery, takeaway, reservations, live-music, vegan, gluten-free (availability varies per place).

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• search_placesA

  Campo BeloA

  Search for places (restaurants, cafes, shops, etc.) in this neighborhood. The `q` match is accent-insensitive and typo-tolerant ("acai" finds "Açaí", "restaurnt" finds "Restaurante"), ranked by relevance. Compose filters for multi-condition queries: `category`, `neighborhood`, `open_now` (true = open at this exact moment), and `attributes` (amenity slugs, ALL must match). Each result includes a precomputed `open_now` boolean, an `attributes` array (amenity slugs), a `delivery` array of curated delivery-app deep-links (ifood, rappi, 99food, uber-eats — each `{ platform, url }`), rating, and structured `hours` (Google Maps periods: day 0=Sun–6=Sat, time "HHMM"). Common amenity slugs: wifi, outdoor-seating, wheelchair, dog-friendly, delivery, takeaway, reservations, live-music, vegan, gluten-free (availability varies per place).

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• search_placesA

  Gracie Barra Jiu-JitsuA

  Search for places (restaurants, cafes, shops, etc.) in this neighborhood. The `q` match is accent-insensitive and typo-tolerant ("acai" finds "Açaí", "restaurnt" finds "Restaurante"), ranked by relevance. Compose filters for multi-condition queries: `category`, `neighborhood`, `open_now` (true = open at this exact moment), and `attributes` (amenity slugs, ALL must match). Each result includes a precomputed `open_now` boolean, an `attributes` array (amenity slugs), a `delivery` array of curated delivery-app deep-links (ifood, rappi, 99food, uber-eats — each `{ platform, url }`), rating, and structured `hours` (Google Maps periods: day 0=Sun–6=Sat, time "HHMM"). Common amenity slugs: wifi, outdoor-seating, wheelchair, dog-friendly, delivery, takeaway, reservations, live-music, vegan, gluten-free (availability varies per place).

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• search_placesA

  Genesis SocialA

  Search for places (restaurants, cafes, shops, etc.) in this neighborhood. The `q` match is accent-insensitive and typo-tolerant ("acai" finds "Açaí", "restaurnt" finds "Restaurante"), ranked by relevance. Compose filters for multi-condition queries: `category`, `neighborhood`, `open_now` (true = open at this exact moment), and `attributes` (amenity slugs, ALL must match). Each result includes a precomputed `open_now` boolean, an `attributes` array (amenity slugs), a `delivery` array of curated delivery-app deep-links (ifood, rappi, 99food, uber-eats — each `{ platform, url }`), rating, and structured `hours` (Google Maps periods: day 0=Sun–6=Sat, time "HHMM"). Common amenity slugs: wifi, outdoor-seating, wheelchair, dog-friendly, delivery, takeaway, reservations, live-music, vegan, gluten-free (availability varies per place).

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