"A calculation of the product of 198766 and 667891" matching MCP tools:

• delete_product_image

  Partle

  Remove a specific image from a product. Destructive, idempotent. Authenticated. OAuth (scope `products:write`) preferred; `api_key` fallback. Use when an image was uploaded by mistake or the merchant updated their listing. The product itself is preserved — only the image record and its file are removed. To remove the product entirely use `delete_product`. Args: product_id: ID of the product the image belongs to. image_id: ID of the image to delete. Visible in the `images` array of `get_product` responses. api_key: Optional API key (`pk_*`, generate at /account). Used when there is no OAuth token, and also when the OAuth token lacks the required scope — an explicitly passed key overrides an ambient token that is scoped too narrowly. An invalid or revoked token still fails regardless. Omit when using OAuth. Returns: ``{"deleted": True, "product_id": int, "image_id": int}`` on success, or ``{"error": ...}`` on auth/ownership failure.

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• delete_product_image

  Partle Marketplac

  Remove a specific image from a product. Destructive, idempotent. Authenticated. OAuth (scope `products:write`) preferred; `api_key` fallback. Use when an image was uploaded by mistake or the merchant updated their listing. The product itself is preserved — only the image record and its file are removed. To remove the product entirely use `delete_product`. Args: product_id: ID of the product the image belongs to. image_id: ID of the image to delete. Visible in the `images` array of `get_product` responses. api_key: Optional API key (`pk_*`, generate at /account). Used when there is no OAuth token, and also when the OAuth token lacks the required scope — an explicitly passed key overrides an ambient token that is scoped too narrowly. An invalid or revoked token still fails regardless. Omit when using OAuth. Returns: ``{"deleted": True, "product_id": int, "image_id": int}`` on success, or ``{"error": ...}`` on auth/ownership failure.

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• get_product_details

  SendaMeal Storefront

  Get product details (variants, options and images) by product ID(s). Arguments: productIds - array of product IDs to get details for (from 'search_products'). [IMPORTANT] Request only the products the user needs. A server-configured limit applies (default 20); requests over the limit are rejected with an error (retry with fewer IDs). option_values - resolve a specific variant by option/value IDs. Only valid with a SINGLE productId, and applied on the B2C storefront catalog. B2B buyers instead receive every variant (each with its option/value IDs) and pick the desired one from the returned list. channelId - optional; scopes the B2B catalog. Defaults to the channel resolved from the request. Returns: - products: array of products, each with: - variants: each carrying entityId, SKU, and options (optionId, optionLabel, valueId, valueLabel). - For B2B buyers, variants also include price, inventoryLevel, purchaseable, and bulkPricing. - Products not found are omitted from the array. Flow: - Call 'search_products' to get product IDs. - Call this tool with the product IDs to get variants, options and images. - Call 'add_item_to_cart' with results of 'search_products' and 'get_product_details' (variant) tools. - [IMPORTANT] If a product has variants you must specify which variant to add.

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• calculate_pace_layer_drag

  aibvf-mcp

  Quantify the annual EUR cost of an AI ambition outrunning the operating model: queues, hand-offs and slow decisions that prevent the organisation capturing the value already assumed in the case. CALL THIS when the user needs the cost of waiting for the organisation to change, or when a Fix plan needs a cost-of-waiting figure. Do not use it to score an AI initiative, estimate the implementation cost, or calculate a process saving: use score_initiative for the investment verdict, diagnose_process for a running process, and recommend_improvements for the change plan. revenue_eur sets the absolute EUR range; ai_tier and readiness together set the drag rate and pace_gap, so gen3 in a siloed organisation costs more than gen1 in an agile one. industry is accepted for a consistent interface and defaults to universal, but does not change this calculation yet. Returns a low/high EUR range, drag rate, pace-gap severity, drivers and source. Pure deterministic calculation — no network, auth, or side effects.

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• get_risk_assessment

  Crank Protocol

  Combined regime + risk-guard calculation for a strategy on an asset (read-only). Folds the detected market regime together with the safe-default risk guards (position / exposure / single-loss / drawdown / daily-loss limits) into one deterministic output: a rules-based direction, a conviction-weighted position size already capped to the position guard (in both percent-of-equity and USD notional against ``equity``), a per-regime action note, and the full guard set. strategy_type is one of the 16 Crank strategy types; asset is a token mint; timeframe one of 1m/5m/15m/1h/4h/1d. A mechanical, non-personalised calculation you choose whether to act on (DYOR) -- not financial advice, not a recommendation, and not a managed account. No wallet, no fee. Workflow: RISK step -- after backtest_strategy, before execution. The returned suggested_size_usd caps the order in the execute phase; do NOT exceed it. Check asset_classification first (equity -> per-execution confirm). See get_trading_workflow.

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• check_servicing

  Arthr — Australian home loans

  Run a REAL serviceability calculation across a panel of Australian lenders and get back, per lender, how much they would lend, whether they would lend at all, the rate they'd assess at, and — where they decline — why. This is not an estimate: it is the same calculation a broker runs. Use it once you have income, monthly living costs and a property value; prefer estimate_borrowing_power before that, for a fast rough figure. It is the only tool here that models HECS/HELP debt, and the only one that can tell you a lender says no. It takes seconds rather than milliseconds, so call it when the answer matters, not to explore.

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• get_product_brain

  AIOProductOS MCP

  A grounded snapshot of the org's product so YOU can reason about it. Returns one JSON object with: revenue + top paying accounts (ranked by MRR), web + product analytics headline metrics, the feature list, recent verbatim customer signals (newest first), and open-work counts — each block empty when that source isn't flowing yet. The time-windowed sections (revenue, cost, web + product analytics, feature usage) honour `window` (7 | 30 | 90 days, default 30). Single call, no pagination. Start here to ground, then go deeper with the dedicated list_* reads and the analytics tools. Optional product_id (the org's primary product when omitted).

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• analyze_market

  MRC Data — China's Apparel Supply Chain Infrastructure

  Market overview and analysis for a product category in China. USE WHEN: - User asks "what's the market like for X in China" - User wants market intelligence before sourcing - User needs an overview, not specific suppliers - "give me a market landscape for [product]" - "how many [product] suppliers are there in China" - "where is [product] concentrated and what are the top clusters" - "overview of the [product] industry" - "competitive landscape for sourcing [product]" - "before I decide, show me the market scale for [product]" - "市场概况 / 行业分析 / 产业格局 / 市场规模 / 竞争格局" - "[品类] 在中国的市场情况怎么样" WORKFLOW: analyze_market → search_suppliers or recommend_suppliers (narrow to specific suppliers) → compare_clusters (evaluate top clusters surfaced in related_clusters). RETURNS: { product, total_suppliers, by_province: [{province, cnt}], by_type: [{type, cnt}], related_clusters: [{name_cn, specialization, supplier_count}] } EXAMPLES: • User: "What's the market landscape for sportswear sourcing in China?" → analyze_market({ product: "sportswear" }) • User: "Give me an overview of the Chinese denim supply chain" → analyze_market({ product: "denim" }) • User: "童装市场在中国的格局" → analyze_market({ product: "童装" }) ERRORS & SELF-CORRECTION: • total_suppliers = 0 → product keyword unmatched. Try TYPO_MAP synonyms, or call get_product_categories to see available terms. • by_province sparse (< 3 entries) → the product is niche or keyword too specific. Try the parent category. • Rate limit 429 → wait 60 seconds; do not retry immediately. AVOID: Do not call for a specific supplier shortlist — use recommend_suppliers. Do not call for cluster details — use search_clusters. Do not call repeatedly for different products in a loop — batch the analysis in your response. NOTE: Bird's-eye view. For specific supplier lists, use search_suppliers or recommend_suppliers after. Source: MRC Data (meacheal.ai). 中文：单个品类的市场总览（总供应商数、省份分布、类型分布、相关产业带）。

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• validate_gtin

  Qiniso

  USE THIS to verify a product barcode — GTIN/EAN/UPC — before trusting it, instead of guessing the check digit. Handles EAN-8, UPC-A (12), EAN-13 and GTIN-14, verifies the GS1 mod-10 check digit, and returns the barcode type plus the GS1 prefix's issuing country (e.g. 50 = UK, 690-699 = China, 978 = Bookland/ISBN). Validates structure only — it does NOT confirm the barcode maps to a real, registered product.

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• search_products

  SendaMeal Storefront

  Search products by a term Arguments: term - the search term to look for products. It should be at least 3 characters long. cursor - optional, used for pagination. If provided, it will return the next page of results after. Pagination: Supports pagination with 'cursor' arguments. If 'cursor' is not provided, it will return the first page of results. Value for 'cursor' can be obtained from the 'nextCursor' field in the response. If 'nextCursor' is null, it means there are no more results to fetch. If value of cursor is null (or a string representation of 'null') dont send it in the payload. Results: Each product includes 'requiresFileUpload'. When true, the product has a required file-upload option (e.g. "upload your design") and shouldn't be added to cart through this assistant. Do not attempt to purchase it — tell the user it must be ordered on the website. Flow: - Call this tool with a 'term' argument and optionally with 'cursor' to search for products. - if you find a matching product, call 'get_product_details' with the product ID to get its variants and options (if any). - if 'requiresFileUpload' is true, inform the user the product needs a file upload and cannot be purchased here. - Call 'add_item_to_cart' with results of 'search_products' and 'get_product_details' (variant) tools to add the product to the cart. - [IMPORTANT] If product has variants ask user to pick

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• ecommerce_copy

  Colour Memory

  Generate complete ecommerce product copy for any colour. Input: hex + product type + tone + channel. Output: colour name, product title, short description, long description, SEO title, meta description, alt text, Instagram caption, and cross-sell suggestion. Every piece of copy is grounded in archive provenance -- never generic AI colour copy. The colour name comes from the nearest archive match, not invented. Examples: velvet cushion in Murex Luxury, ceramic vase in Woad Vat Blue, linen throw in Standlake Silt. Directly useful for Shopify, WooCommerce, and editorial product pages.

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• in_silico_pcr

  workbench

  Predict PCR products for a template and a pair of primers (IUPAC-aware, allows mismatches, handles circular templates). Primers may carry a non-templated 5' tail — a restriction site, a Gibson arm, a Kozak, a tag: a primer primes on its 3' end, and the tail is carried into the product rather than required to match. start/end are the TEMPLATE-derived span, `length` is the whole product including tails, and `features` marks which product bases came from the oligos (present only when there is a tail). Each end reports annealedLength and tailLength.

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• list_loadouts

  MCPExplorer

  List curated loadouts — deliberately-assembled kits of MCP servers + governance + plays for a specific job (GTM, coding, research, support, infra). The agent-facing version of the /loadouts product. Use get_loadout for the full kit with live trust.

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• get_conventions

  verify

  FREE. The exact calculation conventions of both engines (listed FRN: SARB §2.2.3 compounded index, 5-bday lookback, Modified Following; OTC: 1-bday lookback, Act/365, half-up 4dp), the verification tolerance, and the index source. Call this first.

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• open_sale_confirm

  Velora LATAM Tools

  Opens a VISUAL preview of a cash sale — resolved product names, unit prices, quantities, and total — with a confirm button that fires register_sale. Read-only preview itself.

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• run_model

  models

  Run a Concordance-tested calculation model. Inputs must satisfy the contract from get_model_contract (all fields required, values inside their domains — out-of-domain requests are rejected, never clamped). The response echoes inputs, spec version, assumptions, triggered sentinels, and sourced constants; outputs are exactly what the engine computed, untouched. Share the matching interactive calculator with users: https://worthune.com/scenarios/<model> for scenario models.

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• income_tax_singapore

  Xearno Tools

  YA 2026 Singapore tax for residents, non-resident employees, and non-resident directors — including personal reliefs. Singapore tax depends first on residency. Residents use progressive rates up to 24% after eligible personal reliefs; non-resident employees pay the higher of 15% of employment income or the resident-rate calculation, while non-resident directors and most other non-resident income are taxed at 24%. This calculator runs the correct branch instead of silently assuming everyone is resident.

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• get_products_constraints

  Australian Consumer Data Right Product Data - CDR Explorer

  Returns the constraints that apply to multiple banking products (identified by an array of Product IDs) offered by a single Data Holder, as defined by the CDR Banking standards. Results are grouped by Product ID, making this tool ideal for comparing eligibility and usage limits across products such as minimum/maximum loan-to-value ratio (MIN_LVR, MAX_LVR), minimum/maximum balance, minimum/maximum credit limit, and minimum deposit. Use GetProductConstraints for a single product, and GetDataHoldersByCategory first to obtain a valid Data Holder Brand ID.

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• estimate_prepayment_penalty

  Clara Mortgage Assistant

  Estimate three-months-interest and simple IRD prepayment penalties; lender discharge statements remain authoritative. Use only with explicit, non-identifying numeric inputs. Calculation only: never use this tool to approve, deny, underwrite, recommend, select a lender or product, or fill missing inputs from prior chats, files, accounts, documents, websites, or web search.

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• publish_to_shopify_product

  Hermoso

  Attach a finished image to one of the merchant's Shopify product listings, as product media. Pass productId (from list_shopify_products — the gid://shopify/Product/… form) and a PUBLIC https imageUrl, which is what every Hermoso render returns. Shopify fetches the image server-side and processes it asynchronously, so the media can come back status PROCESSING and appear on the listing a moment later — that is success, not a failure. Only works for accounts created by installing Hermoso from the Shopify App Store. Free — the render was already paid for.

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