Skip to main content
Glama
678,745 tools. Updated 2026-10-19 20:36

"Rakuten" matching MCP tools:

  • お買い物マラソン/スーパーSALE用バナーをテンプレから即生成 (Browser-based tool)
    ConnectorNo auth
  • Searches cashback portals by name (e.g. 'Rakuten', 'TopCashback', 'Honey') and returns each match with its payout terms, one entry per country the portal operates in. Use it when the user asks about a named portal: its sign-up bonus, minimum payout, how often it pays, or which payout methods it offers. For a store's cashback rate at that portal, call get_cashback_rates_by_store_name and read the 'portal' field of each rate instead. Each portal includes its payout terms for that country: 'sign_up_bonus' (amount and the url that grants it, null when none), 'minimum_payout' with 'minimum_payout_currency' (smallest balance paid out, null when not published, 0 means no minimum), 'payment_frequency' (how often it pays, e.g. 'On demand', 'Weekly', 'Monthly'), and 'payment_methods' (payout options, e.g. 'PayPal', 'Direct deposit', 'Check', 'Gift card'). Use these to answer questions about a portal's sign-up bonus, payout threshold, payment schedule and payment options. When mentioning a sign-up bonus, show its 'url' as a clickable link — the bonus is only credited when the user signs up through it.
    ConnectorNo auth
  • Searches cashback portals by name (e.g. 'Rakuten', 'TopCashback', 'Honey') and returns each match with its payout terms, one entry per country the portal operates in. Use it when the user asks about a named portal: its sign-up bonus, minimum payout, how often it pays, or which payout methods it offers. For a store's cashback rate at that portal, call get_cashback_rates_by_store_name and read the 'portal' field of each rate instead. Each portal includes its payout terms for that country: 'sign_up_bonus' (amount and the url that grants it, null when none), 'minimum_payout' with 'minimum_payout_currency' (smallest balance paid out, null when not published, 0 means no minimum), 'payment_frequency' (how often it pays, e.g. 'On demand', 'Weekly', 'Monthly'), and 'payment_methods' (payout options, e.g. 'PayPal', 'Direct deposit', 'Check', 'Gift card'). Use these to answer questions about a portal's sign-up bonus, payout threshold, payment schedule and payment options. When mentioning a sign-up bonus, show its 'url' as a clickable link — the bonus is only credited when the user signs up through it.
    ConnectorNo auth

Matching MCP Servers

  • A
    license
    A
    quality
    D
    maintenance
    An MCP server for Rakuten Ichiba that enhances product search with quantity parsing, unit price calculation, and shipping cost analysis, enabling cost-effective bulk purchasing decisions.
    5
    1
    MIT

Matching MCP Connectors

  • NeuralVerge is the data layer for agentic AI. Ask a question in plain language and get a structured, cited answer drawn from 300+ sources — e-commerce marketplaces, corporate registries, company intelligence, enrichment and social — plus the open web. Connect over MCP or REST. What's inside: • E-commerce & marketplaces — 128 sources: Amazon, eBay, Walmart, AliExpress, Alibaba, Shopify, Target, Zalando, Rakuten, Flipkart and more • Corporate registries — 95: UK, France, Spain, the Netherlands, Sweden, Norway, Poland, Brazil, Canada, Australia and more • Startup & funding data — 93: Dealroom, PitchBook, Tracxn, Owler, Product Hunt, Y Combinator, Wellfound, Kickstarter, Indiegogo, Seedrs and more • Company intelligence — 16: Crunchbase, Gartner Peer Insights, Capterra, Trustpilot • B2B data — 7: Company and people search, Company and people profiles, Company employees • Enrichment: Email lookup, Phone lookup, LinkedIn Finder, Email finder Teams use NeuralVerge for agentic products, go-to-market, outbound, market research, competitor analysis, brand monitoring, public procurement, e-commerce intelligence, due diligence, KYC/KYB and recruiting. Works with Claude, ChatGPT, Gemini, Cursor and any MCP client. → neuralverge.ai

  • NeuralVerge is the data layer for agentic AI. Ask a question in plain language and get a structured, cited answer drawn from 300+ sources — e-commerce marketplaces, corporate registries, company intelligence, enrichment and social — plus the open web. Connect over MCP or REST. What's inside: • E-commerce & marketplaces — 128 sources: Amazon, eBay, Walmart, AliExpress, Alibaba, Shopify, Target, Zalando, Rakuten, Flipkart and more • Corporate registries — 95: UK, France, Spain, the Netherlands, Sweden, Norway, Poland, Brazil, Canada, Australia and more • Startup & funding data — 93: Dealroom, PitchBook, Tracxn, Owler, Product Hunt, Y Combinator, Wellfound, Kickstarter, Indiegogo, Seedrs and more • Company intelligence — 16: Crunchbase, Gartner Peer Insights, Capterra, Trustpilot • B2B data — 7: Company and people search, Company and people profiles, Company employees • Enrichment: Email lookup, Phone lookup, LinkedIn Finder, Email finder Teams use NeuralVerge for agentic products, go-to-market, outbound, market research, competitor analysis, brand monitoring, public procurement, e-commerce intelligence, due diligence, KYC/KYB and recruiting. Works with Claude, ChatGPT, Gemini, Cursor and any MCP client. → neuralverge.ai

  • 株主優待クロス取引(現物買い+信用売りを同時に建てて優待だけ受け取る手法)の手数料を試算する。 【対象範囲】 ・同一証券会社内で「買い」と「売り」の両方を建てるケースのみを計算する。証券会社をまたいだ 組み合わせ(例: 楽天で買ってカブコムで売る)は計算しない。 ・buyMethod: 'spot'=現物買い(sbi/gmo/rakuten/kabucom) / 'system_margin_then_receipt'=制度信用買い+現引き(smbcのみ) ・sellMethod: 'general_short'=一般信用(短期) / 'general_long'=一般信用(無期限・長期) / 'system'=制度信用 ユーザーへの回答時はこれらの値をそのまま出さず、日本語(現物買い、制度信用買い+現引き、短期一般信用、 無期限一般信用、制度信用)に訳して説明すること。 【sellMethod=systemの行について】 逆日歩(金額が事前に確定しない追加費用)が別途発生しうる。total はあくまで「逆日歩が0だった場合の金額」 であり、確定額ではないことを必ず説明すること。前回の逆日歩率が分かる場合は note に参考値として付くが、 将来の逆日歩を予測するものではない。 【note フィールドについて】 一般信用の売り建てが現在できない・残数が無い証券会社も除外せず参考値として計算し、その旨を note に 記載する。note が無い行は現時点で実際にクロス可能。 【日付フィールドについて】 vestingDate=権利確定日(基準日)、lastDayWithRights=権利付最終日、exRightsDate=権利落ち日。 ユーザーが「いつまでに買えばいいか」を知りたいときは lastDayWithRights を案内すること (vestingDate は権利が確定する日そのものであり、買い付けの締切ではない)。 【assumptions フィールドについて】 実際に使用した証券会社プラン設定(ゼロ革命の有無、楽天のコース、カブコムの大口優遇ランク等)を毎回 そのまま返す。呼び出し側のAIは回答時に必ずこの内容(特にユーザーによって異なりうる設定)を明示し、 実際の契約プランと違う場合は指定し直せることを案内すること。 例:「楽天は"ゼロコース"、カブコムは大口優遇なしを前提に計算しています。異なるプランをご利用でしたら教えてください」
    ConnectorNo auth
  • Rakuten Ichiba genre tree: the top-level genres, or one genre by id with its breadcrumb path and child genres (with item counts). Flat 5 points per successful run.
    ConnectorAPI key
  • Rakuten Ichiba genre tree: the top-level genres, or one genre by id with its breadcrumb path and child genres (with item counts). Flat 5 points per successful run.
    ConnectorNo auth
  • 権利日を入力すると、クロス取引に必要な各種日付・日数を計算して返す。 【入力 vestingDate】 ・"2026-09-30" のような具体的な日付(その年で固定) ・"9月末" / "09" / "9"(月のみ)→ その月末で、次に到来する回 ・"9月20日" / "09-20" / "9/20" / "0920" → その日で、次に到来する回 【tradeDate】省略時は「今注文したとき」の約定日(JST 15:30より前なら当日、以降なら翌営業日、 土日祝はさらに繰り上げ)。「今から」系の日数(interestDays 等)はこの日を起点にする。 【返す主なフィールド】 ・vestingDate: 権利確定日(基準日) ・lastDayWithRights: 権利付最終日 ・exRightsDate: 権利落ち日 ・interestDays: 今建てた場合の信用金利/貸株料の対象日数(決済が間に合わなければ -1) ・negativeInterestDays: 逆日歩の対象日数(権利付最終日が金曜だと土日を挟んで増える) ・managementFeeMonths: 信用売り建玉の事務管理費がかかる月数 ・crossable: 今から建てて権利落ち日までに決済が間に合うか ・shortSellingLiberation: 一般信用「短期」つなぎ売りの解禁スケジュール。 - sbiGmo: SBI・GMOは同一ルール(営業日ベース、「権利落ち日を含めて15営業日前」)。 liberationDate=売建可能日、orderAcceptedFrom=その前営業日(19:00頃から新規売り注文を受付、翌営業日に先着約定)。 - rakuten: 実効権利確定日の13暦日前を求め、休場日なら翌営業日に調整して最早売建日を計算。orderAcceptedFrom=その前営業日(19時頃から受付)。実際の取扱・在庫・個別期日は別途確認。 - auカブコム・SMBC日興は短期一般信用の取扱いが無いため対象外(詳細は note 参照)。 ・prevYear: 前年の同一権利の基準日(get_benefit の negativeInterests / remainingHistories の prev データと突き合わせるのに使う) ・businessDaysUntilLastDayWithRights / calendarDaysUntilLastDayWithRights: 権利付最終日までの残り 日付は "YYYY-MM-DD" 形式の文字列で返す。
    ConnectorNo auth
  • Current shopping-portal cashback / miles / points rates for an online store (Rakuten, TopCashback, airline and bank malls), checked daily by MaxWorth. Returns each portal's rate and the comparison page URL.
    ConnectorNo auth
  • Returns the current merchant offers of one product (product_id, product slug or edition_id; region JP by default): price in integer minor units with currency_exponent plus price_display (the same amount formatted, e.g. ¥29,700, or 無料 for a price of zero), tax and shipping status, seller class, presentation_state (active, ending_soon, stale, scheduled, unverified), price_certainty, checked_at, fresh_until and expires_at. Prices are observations with a verification state, not guarantees. An offer past fresh_until has presentation_state stale: its price is the last checked price (see checked_at) and it is not a basis for a lowest price, budget fit, cheapest cost or list_deals prices_from; expired offers are not returned. An offer priced in another currency may carry converted (a yen estimate: amount_minor, display such as 約¥7,800, rate_source ecb_eurofxref, rate_reference_date, rate_basis direct or cross_via_eur, and basis_note, a fixed English sentence saying that this site computed the estimate from the European Central Bank's reference rates of that date and that it is not a price) that is not used for ordering, budget fit, cheapest cost or lowest_observed. field_availability.offers is not_recorded when no offer of the product has been recorded. customer_segment is general, or existing_owner, education or nfr for a row the store names as an upgrade, crossgrade, update, EDU or NFR edition (maker and distributor names are not read). Rows that are not general stay in this list with their segment and are not used for a product's default price, lowest price, list_deals prices_from or largest_discount_percent; lowest_observed has no element for editions named upgrade, crossgrade, update, EDU or NFR. A price or listing that a source keeps off this channel is marked withheld_by_channel_policy (offers_coverage=partial) and is not estimated; Rakuten Ichiba listings, for example, appear only on the web page. Each offer's permitted_handoff_links contains canonical_page and site_entry_page, and merchant_plain only where the source permits link distribution on this channel. An optional lowest_observed[] gives, per edition with price history, the window minimum (window_min_amount_minor, window_min_observed_at, observed_since, missing_days, merchant_count, basis_ja) and names the current offer when it is the lowest price seen so far (current_is_lowest_so_far, label_tier high / probable, label_ja, rule_id). current_is_lowest_so_far is true, false or null; null comes with lowest_so_far_undetermined_reason (no_current_price, current_offer_not_on_this_channel, no_price_drop_observed or not_comparable), and false means the current price is above the window minimum. window_min_display is the window minimum formatted. The window minimum is the lowest of our own observations and recorded external references, stated with its basis; it is not a vendor list price or a regular price. An offer of a subscription or rent-to-own edition carries billing_period (month or year): its price is the charge for one period, and it has no reference_price or discount_rate_bps; field_availability.billing_period is unknown when the period is not verified. Such editions have no lowest_observed element. A bundle product with a complete member list carries bundle_cards[]: per shop and currency, the bundle price, each included single product with its verified price at the same shop (amount_minor null with excluded_reason when there is none; never estimated), break_even_count (bundle price divided by the median single price, two decimals, rounded half up), discount_vs_singles_bps (the bundle price against the sum of the priced single prices in basis points, floored; negative when the bundle costs more than the singles; computed over members_priced of members_total), the formula with its inputs, snapshot_id and computed_at. An optional price_record[] gives, per edition and currency, the lowest price observed in the stated window and the last observed price drop at a shop, with the days since each; it records observations and is not a forecast. canonical_page is the product page on this site; it carries the complete price table (including listings withheld on this channel), the merchant purchase links and the affiliate disclosure. site_entry_page is the same page with the entry marker for this channel. Read-only; no purchase execution. Links are user_navigation handoffs (handoff_mode=user_navigation) and are not intended for prefetching or automatic clicking.
    ConnectorNo auth
  • This tool calls the Actor "leoworks/japanese-review-classifier" and retrieves its output results. Actor description: Classify Japanese reviews (Rakuten 楽天レビュー) into complaint types, sentiment and purchase motive — Japanese review sentiment analysis (レビュー分析). Use for Japanese; for Korean use leoworks/korean-review-classifier. datasetId (text auto-detected) or texts. ~100 reviews/5 s, pay per review.
    Connector
    Destructive
    API key
  • Furusato-nozei return goods listed by a Japanese municipality on Rakuten, normalised to grams per 10,000 yen of donation, from kurashigram.com (CC BY 4.0). Keyed by the same 5-digit municipality code.
    ConnectorNo auth
  • Search live Rakuten Ichiba items by keyword with sort, condition, price range and genre filters. 1 point per returned record.
    ConnectorAPI key
  • Search live Rakuten Ichiba items by keyword with sort, condition, price range and genre filters. 1 point per returned record.
    ConnectorNo auth
  • Customer reviews of a Rakuten Ichiba item by shop_code/item_code or URL: rating, text, author, dates, helpful count, purpose tags, SKU, media and shop replies. 1 point per returned record.
    ConnectorAPI key
  • Customer reviews of a Rakuten Ichiba item by shop_code/item_code or URL: rating, text, author, dates, helpful count, purpose tags, SKU, media and shop replies. 1 point per returned record.
    ConnectorNo auth
  • Get one Rakuten Ichiba shop storefront by shop_code or URL: name, description, logo, cover, rating and review count. Flat 5 points per successful run.
    ConnectorAPI key
  • The item catalog of a Rakuten Ichiba shop by shop_code or URL: title, price range, image, points, shipping, rating, category. 1 point per returned record.
    ConnectorAPI key
  • Get one Rakuten Ichiba shop storefront by shop_code or URL: name, description, logo, cover, rating and review count. Flat 5 points per successful run.
    ConnectorNo auth