"Walmart" matching MCP tools:

• get_cashback_rates_by_store_nameA

  GotCashback MCPA

  Finds a store by name and returns its current cashback rates from every cashback portal that lists it — online and in-store, percentage or fixed amount, with 'up to' flags — so the user can compare every portal and see the best. This is the preferred first call for any cashback question that names a store: 'best cashback for Walmart', 'highest Nike cashback', 'cashback at Expedia', 'Walmart cashback today', 'compare Walmart cashback portals', 'Best Buy in-store cashback', 'Dell cashback in Germany'. No prior lookup is needed — do not call get_stores_by_name, get_stores_by_country or get_countries first. Returns every matching store (best match first, one entry per country), each with its 'cashback_rates'; an empty list means no match — retry with a shorter name or without country_code. Use get_cashback_rates_by_store_id only when a store_id is already known, get_gift_cards_by_store_name for gift card discounts, and get_best_deals_by_brand when the user asks where to buy a brand's products rather than about a specific store. Rates reflect GotCashback's current data, refreshed several times a day. Present every returned portal's rate to the user (a table with a link column, not only the best one) and always show each rate's 'url' as a clickable link — cashback is only credited when the user clicks through it.

  ConnectorNo auth

• get_cashback_rates_by_store_nameA

  GotCashbackA

  Finds a store by name and returns its current cashback rates from every cashback portal that lists it — online and in-store, percentage or fixed amount, with 'up to' flags — so the user can compare every portal and see the best. This is the preferred first call for any cashback question that names a store: 'best cashback for Walmart', 'highest Nike cashback', 'cashback at Expedia', 'Walmart cashback today', 'compare Walmart cashback portals', 'Best Buy in-store cashback', 'Dell cashback in Germany'. No prior lookup is needed — do not call get_stores_by_name, get_stores_by_country or get_countries first. Returns every matching store (best match first, one entry per country), each with its 'cashback_rates'; an empty list means no match — retry with a shorter name or without country_code. Use get_cashback_rates_by_store_id only when a store_id is already known, get_gift_cards_by_store_name for gift card discounts, and get_best_deals_by_brand when the user asks where to buy a brand's products rather than about a specific store. Rates reflect GotCashback's current data, refreshed several times a day. Present every returned portal's rate to the user (a table with a link column, not only the best one) and always show each rate's 'url' as a clickable link — cashback is only credited when the user clicks through it.

  ConnectorNo auth

• searchA

  logimu-shopping-mcpA

  Filtered query over the tracked-product warehouse (24M+ Amazon and Walmart products). USE WHEN the user wants a structured list matching explicit criteria: 'well-rated dehumidifiers under $150 with 1000+ reviews', 'everything by brand X sorted by BSR', 'FBA products in this category'. DON'T USE for 'best X' buying advice (use shopping, which ranks and groups), or for a single known product (use product). RETURNS a flat list of matching products with product_id (the ASIN on Amazon, the numeric item ID on Walmart), product_url, title, brand, price, rating, review count, BSR, seller count and marketplace, ordered by the sort field. Requires an anchor: pass q, brand, or category. Cite product_id when the user may want to act on a specific row, and pass it to the product tool for that item's full history. Every response row is observed marketplace data (the marketplace field names it). COVERAGE the continuously tracked BSR product universe, not the entire Amazon catalog. COST free lane 1 of 30 daily queries, capped at 25 rows. Keyed: 1 credit per 25 rows returned. Empty result sets are never billed. SELLER FEEDBACK (2026-09-18): the response also carries seller_ratings - a separate array with seller_positive_pct, seller_feedback_count, seller_rating and observed_at for every buy-box seller named in the rows (Amazon marketplaces; absent on Walmart). Row shapes are unchanged. Not billed.

  ConnectorNo auth

• search_productsA

  intentlinkA

  Search affiliate shopping products and get ranked recommendations. Only `query` is required — a natural-language description of what the shopper wants (e.g. "a warm waterproof jacket for winter hiking"). Add fields to narrow results: - keywords: exact product terms. Use a SPECIFIC product type ("women running shoes", "stainless steel knife set"), not a bare generic noun ("shoes", "knife") — a generic keyword can surface the wrong audience. Audience/occasion go in `query`. - commerce_l2s: category ids to restrict to (read the `commerce://categories` resource for valid values — that taxonomy is for shopping only). - max_price / min_price: price band (USD). platforms: ["amazon"|"walmart"] (empty=all). - intent: ranking preset — "cheapest" | "best_discount" | "top_rated" | "best_value". - require_commission: only return products that pay a commission (default: server setting, normally on). Pass false to include zero/unknown-commission products. - limit: max results (default 10). `agent_id` is REQUIRED: your registered, active agent id. It is the attribution key and the access key — a missing/blank or unregistered agent_id is rejected (no anonymous use). Returns {count, products:[{offer_id,title,brand,price,rating,...,buy_url,product_url}]}. Each product's `buy_url` is ALREADY the trackable affiliate buy link — hand it to the shopper directly. (`product_url` is the plain product page.) There is no separate resolve/click step.

  ConnectorNo auth

• find_label_referencesA

  KinToolkit: Medicine Dosage Calculator Label References for Children and InfantsA

  Resolve ordinary public product names using bounded filters: Children’s Motrin means brand motrin and audience children; Zyrtec means brand zyrtec; generic cetirizine means ingredient cetirizine; Walmart means brand equate. Omit filters only when unspecified. An unlisted medicine or brand is unsupported; do not drop it or use an ingredient match to substitute another product. Lists matching calculator bottles and separately marked reference-only CVS, Equate and Walgreens formulations with sources. Returns clarification guidance for ambiguous matches. No free text or patient inputs. Arguments and results are excluded from operational telemetry.

  ConnectorNo auth

• buy_with_saved_cardA

  Laso FinanceA

  Shop and pay with the holder's saved card Buys from online merchants (Amazon, Walmart, Target, Best Buy, DoorDash and more) and pays with the card the account holder saved themselves (see `GET /get-saved-cards`). One conversation per purchase: 1. Send what to buy as `ask`, in plain language. Pass `delivery_address` on this first call when you know it. 2. Relay `reply` to the holder and send their answers back as `ask` with the same `conversation_id`, until a `cart` comes back. 3. Show the holder the cart. Once they agree, send its `hash` as `confirm` with the `conversation_id`. Nothing can be charged before this. 4. The confirm answers `awaiting_approval` with an `approval_url`. **Send it to your human; never open it yourself.** They approve on their own device with their passkey. Then send the same confirm again to get `order_placed`. A turn runs against a live merchant and can take up to two minutes. This call waits about 45 seconds: a turn that finishes in time comes back complete (`state: done`); a slower one comes back as `state: running` with a `turn_id` to poll with `GET /get-purchase-turn`. **This route is free.** The holder's own card pays the merchant, and no identity verification is needed.

  ConnectorOAuth

• compare_pricesA

  FineRxA

  Price of one medicine with the free FineRx card at US pharmacy chains, near a place. Use when the person asks what a medicine costs, where it costs less, or its price near them or in a ZIP code. ``drug`` is a name as typed or a slug from search_drugs; ``strength`` ("10 mg"), ``form`` ("tablet") and ``quantity`` are optional (the package with the most chains priced is used). ``zip`` is a 5-digit US ZIP — pass it only when the person gave one; without it the host's approximate location is used when there is one, else the answer is national and asks for a ZIP. ``ndc`` (+ ``quantity``) is accepted for older callers. ``compare_to`` is a dollar amount the person named for THIS package — their insurance copay, what they pay now, or a price they want to hear about — and the answer then says how many chains were seen below it. Returns the package, every chain's card price with its observation date (Walmart per state), the nearest store of each chain with a store nearby, chains with a card price but no store nearby, coverage (``other_quantities`` lists the pack sizes that were seen), and the card: codes, the dated price with the card, and the card sentence. Next: quote each price with its date and chain; say the price is set per chain; then the card sentence and codes.

  ConnectorNo auth

• hasdata_walmart_reviews_getWalmartReviewsA

  HasDataA

  Get Walmart Product Reviews Scrapes the customer reviews of one Walmart product on a chosen storefront by item id or URL, ten reviews a page. Returns each review with its rating, title, full text with paragraphs preserved, submission date, author, verified-purchase flag, helpful and not-helpful vote counts, badges, marketplace seller, photos and videos, and the review aspects it was tagged with. Alongside the reviews it returns the item rating, how many ratings versus how many written reviews exist, the per-star breakdown, the AI review summary, per-aspect scores such as Quality or Value for money, and a filters block listing exactly which star ratings, frequent mentions and conditions this item can be filtered by, with a count for each - the values in that block are the ones to pass back as request parameters. Sort by most relevant, most recent, most helpful, highest rated, lowest rated or oldest, and filter by star rating, frequent mention, condition or verified purchases only. Use for review mining and sentiment analysis, tracking what buyers praise or complain about per product, monitoring new reviews over time, and pulling only verified-purchase feedback.

  ConnectorAPI key

• hasdata_walmart_reviews_getWalmartReviewsA

  HasDataA

  Get Walmart Product Reviews Scrapes the customer reviews of one Walmart product on a chosen storefront by item id or URL, ten reviews a page. Returns each review with its rating, title, full text with paragraphs preserved, submission date, author, verified-purchase flag, helpful and not-helpful vote counts, badges, marketplace seller, photos and videos, and the review aspects it was tagged with. Alongside the reviews it returns the item rating, how many ratings versus how many written reviews exist, the per-star breakdown, the AI review summary, per-aspect scores such as Quality or Value for money, and a filters block listing exactly which star ratings, frequent mentions and conditions this item can be filtered by, with a count for each - the values in that block are the ones to pass back as request parameters. Sort by most relevant, most recent, most helpful, highest rated, lowest rated or oldest, and filter by star rating, frequent mention, condition or verified purchases only. Use for review mining and sentiment analysis, tracking what buyers praise or complain about per product, monitoring new reviews over time, and pulling only verified-purchase feedback.

  ConnectorAPI key

• hasdata_walmart_reviews_getWalmartReviewsA

  Walmart Remote MCP ServerA

  Get Walmart Product Reviews Scrapes the customer reviews of one Walmart product on a chosen storefront by item id or URL, ten reviews a page. Returns each review with its rating, title, full text with paragraphs preserved, submission date, author, verified-purchase flag, helpful and not-helpful vote counts, badges, marketplace seller, photos and videos, and the review aspects it was tagged with. Alongside the reviews it returns the item rating, how many ratings versus how many written reviews exist, the per-star breakdown, the AI review summary, per-aspect scores such as Quality or Value for money, and a filters block listing exactly which star ratings, frequent mentions and conditions this item can be filtered by, with a count for each - the values in that block are the ones to pass back as request parameters. Sort by most relevant, most recent, most helpful, highest rated, lowest rated or oldest, and filter by star rating, frequent mention, condition or verified purchases only. Use for review mining and sentiment analysis, tracking what buyers praise or complain about per product, monitoring new reviews over time, and pulling only verified-purchase feedback.

  ConnectorAPI key

• lookup_product_by_barcodeA

  amazon-product-research-mcpB

  Look up products by retail barcode: UPC-12, EAN-13 or GTIN-14. Use when the user gives a numeric product barcode (from a shelf tag, an invoice, a supplier price list, a wholesale catalog) and wants to know which Amazon or Walmart listing it maps to — e.g. 'what is UPC 050875825598 on Amazon', 'match these barcodes to ASINs'. Returns the matched products (best match first — priced and recently observed rows lead) with ASIN, brand, title, price, rating and image. One barcode per call.

  ConnectorNo auth

• agent_ready_checkA

  ListingGood MCPA

  Score whether a product listing is Agent-Ready for AI shopping agents (ACP/UCP era). Platform-agnostic: works for Amazon, Shopify, Walmart, TikTok Shop or any storefront that AI shopping assistants may read. Use it when a user asks whether their product will be found, recommended, or auto-purchased by an AI agent. Fully local, deterministic rule engine — no API key, no credits, no network call. Returns four dimensions: structured attributes, entity clarity, trust & compliance, and agent actionability, plus ranked fixes. Args: text: raw product copy — title plus bullets/description (required). platform: amazon | shopify | walmart | tiktok | generic | auto (default auto-detected). lang: en or zh for the report language (default en).

  ConnectorNo auth

• finance.edgar.xbrl_framesA

  apibaseB

  Compare a financial metric across ALL SEC-reporting companies for a period. Query Revenues for CY2023 → 2,649 companies with values. Top: Walmart $648B, UnitedHealth $371B. Free alternative to Bloomberg/FactSet. Period format: CY2023 (annual), CY2023Q4I (quarterly).

  ConnectorNo auth

• walmart_productA

  Traject EcommerceA

  Get Walmart product details by item ID — title, brand, price, rating, ratings total, and image. Uses your BlueCart API key. Example: walmart_product({ item_id: "967006046", _apiKey: "your-bluecart-key" })

  ConnectorNo auth

• walmart_searchA

  Traject EcommerceA

  Search Walmart products by keyword — returns position, title, item ID, price, rating, and ratings total. Uses your BlueCart API key. Example: walmart_search({ search_term: "coffee maker", _apiKey: "your-bluecart-key" })

  ConnectorNo auth

• crawlbase_structuredA

  CrawlbaseA

  Scrape a page into clean structured JSON using a named Crawlbase scraper — skip HTML parsing entirely. Common scraper names: "amazon-product-details", "amazon-serp", "google-serp", "facebook-page", "facebook-profile", "instagram-profile", "instagram-post", "linkedin-profile", "linkedin-company", "tiktok-profile", "ebay-product", "walmart-product-details", "github-repository", "generic-extractor". Full catalog: https://crawlbase.com/docs/scrapers/ — social-media scrapers (Facebook/Instagram/LinkedIn) work best with your JavaScript token. Example: crawlbase_structured({ url: "https://www.amazon.com/dp/1098145356", scraper: "amazon-product-details", _apiKey: "your-crawlbase-token" })

  ConnectorNo auth

• find_nearby_pharmaciesA

  FineRxA

  Pharmacy stores within 30 miles, per chain — with the card price when a drug is given. Use when the person asks where the pharmacies are near a ZIP or near them. ``zip`` is a 5-digit US ZIP (leave it out to use the host's approximate location when there is one). ``family`` is a comma-separated list of chain codes: walmart, cvs, walgreens, kroger, albertsons, costco, publix, heb, hyvee, meijer, wegmans, shoprite, bigy, gianteagle, kinney (``chains`` is the older name of the same filter). With ``drug`` (+ optional strength, form, quantity) each store carries its chain's card price and observation date. Returns stores (chain, address, city, distance, whether it is a pharmacy or a store with a pharmacy inside — not verified) and the card. Stock is not visible: suggest calling ahead. Coordinates © OpenStreetMap contributors.

  ConnectorNo auth

• search_product_recallsA

  Recall KitchenA

  Search product recalls by query. Query uses websearch syntax: unquoted words are AND, OR is or, -term excludes, quoted phrases match as a unit (example: Generac Generator -Portable). Optional filters: source (cpsc, fdafoodsafety, FDAMedWatch, usda, nhtsa, canada, costco, target, walmart, openfda), since/until (YYYY-MM-DD), location (country, region, or place, ANDed with the query), offset, limit. Descriptions are truncated and extracted products are capped; use get_product_recall for the full text.

  ConnectorNo auth

• search_product_recallsA

  Recall KitchenA

  Search product recalls by query. Query uses websearch syntax: unquoted words are AND, OR is or, -term excludes, quoted phrases match as a unit (example: Generac Generator -Portable). Optional filters: source (cpsc, fdafoodsafety, FDAMedWatch, usda, nhtsa, canada, costco, target, walmart, openfda), since/until (YYYY-MM-DD), location (country, region, or place, ANDed with the query), offset, limit. Descriptions are truncated and extracted products are capped; use get_product_recall for the full text.

  ConnectorNo auth

• hasdata_walmart_product_getWalmartProductA

  HasDataA

  Get Walmart Product Details Scrapes one Walmart product page on a chosen storefront by item id or URL. Returns title, brand, model, UPC, condition, availability, price with strikethrough before-price and unit price, the seller holding the buy box with its rating and return policy, badges, SNAP EBT eligibility, Walmart+ savings, star rating with the per-star review breakdown and AI review summaries, images, category path, highlights, specifications, AI-generated key item features, variant axes with every option and the itemId each combination resolves to, fulfillment details, and the other-sellers block: how many competitors the page advertises always and, when the page shows it, the cheapest competing price, plus - when otherOffers is enabled - the offer list with each seller name, storefront URL, price, condition, shipping cost, delivery date and return policy. Use for price and buy-box monitoring, seller and marketplace competitor tracking, assortment enrichment of item ids harvested from search, and variant mapping.

  ConnectorAPI key

• hasdata_walmart_product_getWalmartProductA

  HasDataA

  Get Walmart Product Details Scrapes one Walmart product page on a chosen storefront by item id or URL. Returns title, brand, model, UPC, condition, availability, price with strikethrough before-price and unit price, the seller holding the buy box with its rating and return policy, badges, SNAP EBT eligibility, Walmart+ savings, star rating with the per-star review breakdown and AI review summaries, images, category path, highlights, specifications, AI-generated key item features, variant axes with every option and the itemId each combination resolves to, fulfillment details, and the other-sellers block: how many competitors the page advertises always and, when the page shows it, the cheapest competing price, plus - when otherOffers is enabled - the offer list with each seller name, storefront URL, price, condition, shipping cost, delivery date and return policy. Use for price and buy-box monitoring, seller and marketplace competitor tracking, assortment enrichment of item ids harvested from search, and variant mapping.

  ConnectorAPI key