"Diners Club" matching MCP tools:

• search_ens_namesA

  Name Whisper — ENS Intelligence LayerA

  Search ENS names using natural language. Supports all query types: - Filtered search: "4-letter words under 0.1 ETH" - Concept search: "ocean themed names" (semantic similarity across 3.5M indexed ENS names) - Creative search: "names for a coffee brand" (AI-generated suggestions) - Collection search: "crypto terms expiring soon" - Activity: "what sold recently?" - Availability check: "is coffee.eth taken?" - Bulk check: "check apple.eth, banana.eth, cherry.eth" - Collection/club floor: "999 club floor", "cheapest 10k club names" (returns real listings sorted by price) - Sorted pattern list: "3-letter numbers sorted by name", "4-letter words by registration date" (sorts by name, price, length, expiry or registration date) Returns structured results with name, price, owner, tags, and availability info. It searches the NAME database by pattern/length/price/club/vibe — it does NOT know who real-world people, teams, brands, athletes, musicians, or films are. For "find me NBA players / pop stars / Pixar films / presidents" use enumerate_entities instead (it returns correctly-spelled labels). Use this for "floor of <club>" / "cheapest in <collection>" (find_alpha can't — it has no collection param). For lifecycle-window lists — "which names are in premium / Dutch auction", "names in grace period", "expiring soon" — use get_expiring_names instead: its grace/premium statuses are on-chain-validated and premium rows carry live pricing. That hand-off needs a lifecycle WORD in the query. A plain pattern/length/digit list — "3-letter numbers sorted by name", "4-letter words", "5-digit names" — stays HERE even though it asks for a list with filters and a sort order; routing it to get_expiring_names answers a question the user never asked (a grace/premium dump instead of the names).

  ConnectorNo auth

• render_assetA

  SirenA

  Render films from pre-formed SirenSeed bodies (advanced). FILMS ONLY: images are painted from a brief, so for any image, ad or creative call create_campaign with asset_type=card (a still here returns 422 stills_use_a_brief). Each item: {output_type, channel, seed_body, archetype?, family?, surface?, caption?, voice_id?, music?, direction?, brand_override?}. Prefer create_campaign unless the user has concrete seed JSON. Returns run ids, `estimated_seconds` and `poll_after_seconds`; wait that long, then get_run. THE DIRECTOR: every film body is edited against Brand DNA before it renders. It keeps the film and your brand-specific lines, rewrites empty, generic or reference-body copy, and never touches media. `director` in the response says what changed. `direction` is a free line ("dark, club energy, fast") that steers words, pace and music. A film that cannot use what you sent returns 422 film_does_not_fit with a `fix` and `films_that_fit`. ANY BRAND: put brand_override={"name": "Acme", "site": "acme.com", "logo_url": "https://acme.com/logo.png", "primary": "#FF4400", "accent": "#111111"} on an item to render it for a brand that is not this workspace's own. With a name it is a clean slate: none of this workspace's logo, mascot, font, handle, screenshots or stills are used. Media slots take only URLs you uploaded with upload_media.

  ConnectorOAuth

• validate_cardA

  CreditcardA

  Validate a credit/debit card number (keyless, offline): Luhn (mod-10) checksum, detected card network (Visa/Mastercard/Amex/Discover/JCB/Diners/UnionPay/Maestro), and whether the length is valid for that network. Spaces/dashes are ignored. NOTE: this checks the number is well-formed — it does NOT verify the card is real/active/funded (that needs a payment processor).

  ConnectorNo auth

• get_market_activityA

  Name Whisper — ENS Intelligence LayerA

  Get recent ENS marketplace activity. Covers exactly three event types — SALE, PREMIUM_REGISTRATION and SWAP — and nothing else: it does NOT report listings, standing offers, mints, transfers, renewals or burns, so never conclude from an empty result that none of those occurred. Returns event details including name, price (in ETH), buyer/seller addresses, and timestamp. Sorted by most recent first. Pass `collection` (a slug such as "10k-club" or "999-club") to scope to one club — an unscoped call is the entire market, so never present unscoped results as a collection's sales. Not every row is a sale: check `type` before describing one as such. PREMIUM_REGISTRATION is a Dutch-auction registration from the ENS premium decay, NOT a secondary-market sale, so never quote it as evidence of what a name sold for; SWAP is a name-for-name trade and has no price. SALE includes accepted offers. This is raw activity only — it makes NO wash-trading / authenticity judgment; for "is this wash trading / fake volume?" use wash_check.

  ConnectorNo auth

• find_alphaA

  Name Whisper — ENS Intelligence LayerA

  Scan the ENS marketplace for alpha — names listed below their valuation. Returns ranked opportunities with a discount %, fair-value range, confidence rating, and comparable data. Candidates are selected by DESIRABILITY (real curated collections, short, accessibly priced above a floor that excludes 0.001-ETH floor-dumps), then each is precision-priced by the full Name Whisper valuation engine — the SAME engine behind get_valuation and the Value page — which is the sole judge of undervaluation. The returned fair-value range (estimatedValueEth), confidence and discountPct are the engine's own numbers, via the same cache-first path as get_valuation (with display-only signals disabled for speed), so they are authoritative and consistent with get_valuation. They are computed conservatively (the seller-wallet boost is off), so if anything they slightly UNDERSTATE fair value — report them as-is; do NOT inflate the fair value or upgrade the confidence. Use estimatedValueEth.mid as the fair-value anchor. Only opportunities the engine confirms are surfaced: a believable discount band (20%+, capped where valuations stop being reliable), MEDIUM+ confidence, and a REAL comparable-sale match (type/collection/word/entity/semantic — never a coarse same-length average). This means genuinely good, believable deals (typically 25–65% off) — not 99%-off junk. It will still surface a large discount when the engine confirms it with real comps; it just won't fabricate one. **Use this instead of search_ens_names + repeated get_valuation when the user asks for "best value", "best buy", "cheapest good name", "undervalued", "bargains", or any ranked-by-value query across multiple listings.** find_alpha does the search + engine valuation + ranking in a single call — you do NOT need to call get_valuation again on its results. If it returns fewer names than asked, the rest weren't genuine discounts vs the engine — say so rather than padding the list. Supports filters (minLength, maxLength, maxPriceEth, charType) so narrow queries like "4-letter names under 1 ETH, best value" are one call, not six. It has NO collection/category/club param. Do NOT use it for "floor price of the 999 club", "cheapest 10k-club names", or "floor of <collection>" — those name a specific collection, so use search_ens_names (which returns that collection's real listings sorted by price), or sweep if the user wants to buy the cheapest N. find_alpha is for value-ranked discovery across the market, not a named collection's floor.

  ConnectorNo auth

• sweepA

  Name Whisper — ENS Intelligence LayerA

  Floor-sweep: buy the CHEAPEST N listed ENS names in a category/collection (or matching a filter) in ONE Seaport transaction. Use this when the user wants "the cheapest N", "sweep the floor", or "buy up to X ETH of" a cohort — rather than naming specific names (that's batch_purchase). Pick the cohort with 'category' (a collection slug like "999-club") and/or 'q'/'charType'/'minLength'/'maxLength'. Bound the sweep with 'count' (how many) and/or 'maxBudgetEth' (total spend), plus an optional 'maxPriceEth' per-name cap. It selects cheapest-first across NameWhisper, OpenSea, and Grails, then packs them into one fulfillAvailableAdvancedOrders call (capped at 20 names — run again to continue). NFTs are delivered directly to the buyer; Seaport skips any order that sold since discovery and refunds the excess. The response reports what was swept (with marketplace + price), the total, and how many matched but fell outside the bound.

  Connector

  Destructive

  No auth

• validate_cardA

  QinisoA

  USE THIS to check a payment card number's structure before using it — never assume a card number is valid or guess its brand. Verifies the Luhn checksum, detects the brand (Visa, Mastercard, Amex, Discover, Diners, JCB, UnionPay) from its BIN, and checks the length. Does NOT check whether the card is real, active or has funds.

  ConnectorNo auth

• latest_newsA

  gol24A

  Most recent published news from gol24.uz (Uzbek football news site), newest first. Use it for general questions ("what's new in football?", "today's transfer news", "what happened yesterday?"). For one club use club_news, for one person use person_news, for a topic or keyword use search_news. Optional filters: type (transfer, matbuot = press quotes and interviews, natija = final match results, umumiy = other) and date (one calendar day in Tashkent time, YYYY-MM-DD). Filters can be combined. Returns up to `limit` items (default 10, max 20), each with title and summary in Uzbek (Latin script), url, published_at (Tashkent time), type, clubs and people. An empty list means nothing matched. Rate limit: 60 requests per minute.

  ConnectorNo auth

• search_newsA

  gol24A

  Keyword search in gol24.uz news titles and summaries, newest first. Use it for topics, events or names that club_news and person_news cannot resolve ("Ballon d'Or", "Champions League draw", "national team"). For one specific club or person prefer club_news / person_news - they are more precise. News text is in Uzbek (Latin script), so search Uzbek spellings: "Oltin to'p", "Chempionlar ligasi", "terma jamoa", "Mbappe". Matching is a case-insensitive substring match on title and summary over the last `days` days (default 30, max 90). Returns up to `limit` items (default 10, max 20) with the same fields as latest_news. An empty list means no match - try a shorter or Uzbek-spelled keyword. Rate limit: 60 requests per minute.

  ConnectorNo auth

• tip_calculatorA

  calc.engineerA

  Calculate tip and split a restaurant bill among multiple people. Given a bill amount, tip percentage, and number of diners, returns the tip amount, total with tip, per-person share, and effective tip percentage. Supports rounding up to the nearest whole number for convenience. Defaults to 18% tip for 1 person. Currency-agnostic — works with any monetary unit.

  ConnectorNo auth

• submit_enquiryA

  siteA

  Submits an enquiry to Club Grants — NOT a purchase, NOT a guaranteed quote. Step 1: call with the answers (keyed by field key from enquiry_fields) and consent=true; it validates and returns a summary, the consent line and a confirmation token — show the person the summary and the consent line. Step 2: only if the person agrees, call again with the same answers, consent=true and the confirmation token; the enquiry is then submitted, and the person receives an email with a link they must click before any provider sees it. Consent means the person has read and agreed to: "Send my contact details to up to three relevant club funding advisers, chosen by Club Grants, who'll contact me directly. I'll be emailed each firm's name as my details go to it, and can stop any more firms getting them."

  ConnectorNo auth

• club_newsA

  gol24A

  News about one football club from gol24.uz, newest first. Use it instead of search_news whenever the question is about a specific club ("latest Real Madrid news", "Barcelona transfers"). For a player or coach use person_news; for general news use latest_news. The club is matched by its name (English names work: "Real Madrid", "Manchester City", "Paxtakor") or a partial name. Optional type filter, e.g. type="transfer" for transfer news only. Returns the matched club name, its gol24.uz page and up to `limit` items (default 10, max 20) with the same fields as latest_news. If the club is unknown, returns an error listing similar club names - retry with one of them. Rate limit: 60 requests per minute.

  ConnectorNo auth

• get_my_accountA

  Fold LaundryA

  Only call this when the customer asks about their own Fold account, saved details or orders — it requires their connected Fold account and asks them to sign in. Prices, ZIP coverage, estimates and guest bookings work without signing in (get_pricing, check_service_zip, get_estimate, book_residential_pickup). Returns their saved addresses (with gate code / access notes), whether a card is on file, Fold credit balance, Fold Club membership, laundry care preferences (detergent, water temperature, special instructions) and recurring pickups. book_my_pickup uses these saved details.

  ConnectorNo auth

• prepare_orderA

  ZacatrusA

  Prepara un pedido de Zacatrus para el cliente: productos y cantidades, dirección guardada o tienda de recogida, y forma de envío. Devuelve el resumen (líneas con su precio, envío, total, destino, caducidad) y el enlace para confirmarlo y pagarlo en la web. Con punto de recogida Nacexshop (shipping_method droppoint_droppoint, con address_id) el cliente elige el punto en el mapa de la web al confirmar: aquí no se elige. ENSÉÑALE SIEMPRE al cliente el resumen y el enlace, y dile claramente que el pedido NO está hecho hasta que lo confirme y pague en zacatrus.es: aquí no se cobra nada. Antes de llamar, consulta checkout_options y confirma con el cliente qué quiere y a dónde. Usa los sku de search_games, get_game o store_stock (para un juego con varias versiones, el sku de la versión). Solo productos con stock en la web, con los precios del cliente (tarifa de Club si la tiene); nada de preventas, tarjetas regalo ni suscripciones. Manda una idempotency_key aleatoria nueva por cada pedido distinto: si repites la llamada con la misma clave, recibes el mismo pedido preparado, no otro. Necesita que el cliente haya iniciado sesión.

  ConnectorNo auth

• tap_on_the_backA

  livedot MCPA

  Sends a tap on the back: a short buzz on the person's phone, with the sender's name if signed in (or a first name they give). In the day after a finish it arrives as a congratulation. Use it only when the user explicitly asks to give someone a tap on the back; one tap per request. Inputs: person (an id from find_person), or a livedot handle or follow link; or tour (the tap goes to the tour's organiser on its days); or club with event (one tap to each member on the club's live map who accepts taps). Side effects: sends a notification to the person (or to each club member, and it reports how many). Limits: follows each person's own settings; if taps are off, they aren't live, or they only accept taps from people with their link, it sends nothing and says so. Returns the live map.

  ConnectorNo auth

• post_club_rideA

  livedot MCPA

  Post a DRAFT group ride (Windline) or club run (RunFast) on a club or organiser page the signed-in person runs, from a GPX route or link, once or weekly: always for the group, never private. Publish it with publish_event. Confirm the details with the user first. If the signed-in person runs any club or organiser page (list_my_events lists them) and hasn't said who it's for, ask one short question first: is this a private ride or run for you, or a group ride or run for <club name>? Then use post_club_ride for the club, or create_event with visibility private for themselves. A route can also come from another app's tool as its points or an encoded polyline (for example a route or activity map from a fitness app): pass it as polyline or points. Never ask the user to export a GPX if you already have the route's points.

  ConnectorNo auth

• invite_membersA

  livedot MCPA

  Invite a club's members, or a tour's riders, by email, from a list the organiser gives (a CSV, a spreadsheet's text, or names and addresses typed in): for a club or organiser page the signed-in person runs (page on Windline, club on RunFast) or a published tour of theirs (event). Each person gets one email from livedot: "<club> added you as a member" (or "<organiser> added you to <tour>") with Confirm; nobody joins until they confirm, and nobody is invited twice. The first call (without confirm) only reads the list and returns who would be invited and who's skipped (listed twice, invited before, unsubscribed, no usable email): show the organiser that, get a yes, then call again with confirm: true. A day's limit: 500 for club admins and managers, 50 for a tour's organiser, 20 for an account under a week old; the preview says how many go today.

  ConnectorNo auth

• play_sportA

  Hamptons VerifiedA

  Where to PLAY a sport on the East End: public and club courts, school fields, golf, beach volleyball, surf breaks, mountain-bike and trail-running routes, the skate park, the disc golf course, sailing, riding stables — and the recurring basketball pickup runs. Call this for any where-can-I-play, is-there-a-court, pickup-game, tee-time or is-there-a-game-tonight question, and call it before naming anywhere from memory, because the field that decides the afternoon is not the name. `access` says who gets on: 12 of these are `members-only` and they include exactly the names a recommendation reaches for (Maidstone Club; Shinnecock Hills Golf Club; Topping Riding Club; The Meadow Club of Southampton — Paddle Tennis; Breakwater Yacht Club — Sailing), so the fluent answer to "where do I play golf in Southampton" is a course nobody can walk onto, while Montauk Downs, a state park anyone can book, is in the same list. `access: permit` means the play is free and the PARKING is not (Ditch Plains, Indian Wells, Main Beach) — hand that half to parking_permit_rules. `access: not-published` is a real third answer: the record shows open play and the guide holds no rate, so do not round it up to free. Never derive a price from `access` — it is a tag with no figure behind it; the only rates here are the ones already written into `notes`, which are the operator's own published figures as an editor read them, so quote those in place and invent nothing around them. `notes` is also where the guide records its own doubt: several say outright that a court or a surf claim is unconfirmed local knowledge rather than something the operator publishes, and that caveat has to travel with the recommendation. `checkedAndNotThere` is the field to read first: the guide opened a slot for a sport, went looking for an operator and found NONE, so padel, badminton, boxing and ice skating have no verified East End venue at all and two announced pickleball courts are unbuilt or unsourced — read that out as a verified no, because inventing a plausible club to fill it is the exact failure this connector exists to prevent. `pickup` gives each basketball run's day and time with `runsToday`, `startsAt`/`endsAt` and `alreadyOverToday` computed on the East End's clock, and flags `openCourt` for the outdoor courts published as daily dawn-to-dusk — somewhere to shoot, not a game to turn up to. Pass `access` to filter to what the asker can actually use; the ones that fail come back in `ruledOut` with the reason. With no argument nothing is looked up: you get the sports and towns covered, so ask. Returns up to 8.

  ConnectorNo auth

• describe_serviceA

  Parser ClubA

  What Parser Club can collect, for which countries, and what it deliberately cannot do. Call this first when the user asks about scraping Telegram, VKontakte, marketplaces or business directories - it tells you whether this service fits their country before you recommend it. No API key required.

  ConnectorNo auth

• looks.curation.by_occasionA

  mcp-fashionA

  Discover complete curated fashion looks styled for specific occasions (e.g., 'Wedding & Reception', 'Party', 'Casual', 'Cocktail', 'Date Night', 'Club Night', 'Brunch', 'Vacation', 'Formal'). All returned looks are verified 100% in-stock (any look with an out-of-stock item is automatically excluded). Automatically localized to active country / 240+ destination regions. PURPOSE & DISAMBIGUATION: - Curates multi-item aesthetic outfits tailored to specific social events, vibes, and demographics. - Distinct from 'products.search.text': Use this tool to retrieve complete harmonized outfits, NOT individual standalone products. - Distinct from 'looks.curation.recommend': Use this tool to discover outfits by occasion/event theme without a seed product, whereas 'looks.curation.recommend' builds outfits around a specific product handle. WHEN TO USE: - When a user seeks outfit inspiration or complete looks for events (e.g. 'What to wear to a summer cocktail party?', 'Brunch outfit for men', 'Date night dresses'). WHEN NOT TO USE: - Do NOT use when searching for a single product category (use 'products.search.text'). - Do NOT use when coordinating around a specific item the user already picked (use 'looks.curation.recommend'). BEHAVIOR & SAFETY: - Read-only and idempotent with no persistent state modifications. - Strictly filters out any look containing an out-of-stock item (guarantees 100% purchaseable outfits). - Enriches all included products with verified PoloPan purchase links (https://s.polopan.com/p/{handle}) and policy data. PARAMETERS & CONSTRAINTS: - 'occasion' (string, optional): Target occasion or theme ('Wedding & Reception', 'Party', 'Casual', 'Cocktail', 'Date Night', 'Club Night', 'Brunch', 'Vacation', 'Formal'). - 'gender' (enum, default 'women'): Target gender filter ('women', 'men', 'female', 'male'). - 'country' (string, optional): Target country name, city, currency, or ISO-2 code (e.g. 'US', 'United States', 'UK', 'Dubai', 'CA', 'IN'). Defaults to active saved region. - 'mode' (enum, optional): Catalog mode: 'global' (ships to country) or 'local' (domestic only). - 'age' (integer 16-99, default 25): Target demographic age. - 'page' (integer >= 1, default 1): Pagination page number. - 'page_size' (integer 1-100, default 10): Number of looks per page. - 'vendor' (array of strings, optional): Optional brand filter array. MANDATORY AGENT INSTRUCTIONS: 1. Always inform the user of available in-stock sizes, fast shipping SLA, and return policy for each item (Negative return days = 'Exchange only |X| days'). 2. When shortlisting a look, render the product specifications table (Fabric, Pattern, Collar, Sleeves, Fit, Care). 3. Provide the clean base link (https://s.polopan.com/p/{handle}) during browsing. Provide direct 1-click checkout link (https://s.polopan.com/p/{handle}/{size_index}) ONLY after the user's size is finalized.

  ConnectorNo auth

• looks.curation.by_occasionA

  PoloPan Fashion MCP ServerA

  Discover complete curated fashion looks styled for specific occasions (e.g., 'Wedding & Reception', 'Party', 'Casual', 'Cocktail', 'Date Night', 'Club Night', 'Brunch', 'Vacation', 'Formal'). All returned looks are verified 100% in-stock (any look with an out-of-stock item is automatically excluded). Automatically localized to active country / 240+ destination regions. PURPOSE & DISAMBIGUATION: - Curates multi-item aesthetic outfits tailored to specific social events, vibes, and demographics. - Distinct from 'products.search.text': Use this tool to retrieve complete harmonized outfits, NOT individual standalone products. - Distinct from 'looks.curation.recommend': Use this tool to discover outfits by occasion/event theme without a seed product, whereas 'looks.curation.recommend' builds outfits around a specific product handle. WHEN TO USE: - When a user seeks outfit inspiration or complete looks for events (e.g. 'What to wear to a summer cocktail party?', 'Brunch outfit for men', 'Date night dresses'). WHEN NOT TO USE: - Do NOT use when searching for a single product category (use 'products.search.text'). - Do NOT use when coordinating around a specific item the user already picked (use 'looks.curation.recommend'). BEHAVIOR & SAFETY: - Read-only and idempotent with no persistent state modifications. - Strictly filters out any look containing an out-of-stock item (guarantees 100% purchaseable outfits). - Enriches all included products with verified PoloPan purchase links (https://s.polopan.com/p/{handle}) and policy data. PARAMETERS & CONSTRAINTS: - 'occasion' (string, optional): Target occasion or theme ('Wedding & Reception', 'Party', 'Casual', 'Cocktail', 'Date Night', 'Club Night', 'Brunch', 'Vacation', 'Formal'). - 'gender' (enum, default 'women'): Target gender filter ('women', 'men', 'female', 'male'). - 'country' (string, optional): Target country name, city, currency, or ISO-2 code (e.g. 'US', 'United States', 'UK', 'Dubai', 'CA', 'IN'). Defaults to active saved region. - 'mode' (enum, optional): Catalog mode: 'global' (ships to country) or 'local' (domestic only). - 'age' (integer 16-99, default 25): Target demographic age. - 'page' (integer >= 1, default 1): Pagination page number. - 'page_size' (integer 1-100, default 10): Number of looks per page. - 'vendor' (array of strings, optional): Optional brand filter array. MANDATORY AGENT INSTRUCTIONS: 1. Always inform the user of available in-stock sizes, fast shipping SLA, and return policy for each item (Negative return days = 'Exchange only |X| days'). 2. When shortlisting a look, render the product specifications table (Fabric, Pattern, Collar, Sleeves, Fit, Care). 3. Provide the clean base link (https://s.polopan.com/p/{handle}) during browsing. Provide direct 1-click checkout link (https://s.polopan.com/p/{handle}/{size_index}) ONLY after the user's size is finalized.

  ConnectorNo auth