"A product search on eBay for a specific item" matching MCP tools:

• 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）。

  Connector

• add_to_cart

  PuroAir

  Add a product to a cart and return its checkout URL. IMPORTANT: this does NOT charge or place an order. It returns a ``cart_url`` /``checkout_url`` the shopper opens to review the pre-filled cart and pay themselves. Use for "add X to my cart" / "I want to buy X". For multiple items in one cart, use create_checkout. Verify availability with check_stock first — adding an out-of-stock item wastes the shopper's click-through. Args: sku: Product SKU (from list_products / search_products). quantity: How many (default 1).

  Connector

• nexbid_purchase

  discovery

  <tool_description> Initiate a purchase for a product found via nexbid_search. Returns a checkout link that the user can click to complete the purchase at the retailer. The agent should present this link to the user for confirmation. </tool_description> <when_to_use> ONLY after user has expressed clear purchase intent for a specific product. Requires a product UUID from nexbid_search or nexbid_product. ALWAYS confirm with user before calling this tool. </when_to_use> <combination_hints> nexbid_search (purchase intent) → nexbid_purchase → present checkout link to user. After purchase → nexbid_order_status to check if completed. Use checkout_mode=wallet_pay when the user has a connected wallet with active mandate. </combination_hints> <output_format> For prefill_link (default): Checkout URL that the user clicks to complete purchase at the retailer. For wallet_pay: Intent ID and status for mandate-based authorization. Include product name and price for user confirmation. </output_format>

  Connector

• list_drops

  Real Real Genuine

  [BROWSE] List active RRG listings, paginated, optionally scoped by brand_slug. Use when exploring the catalogue without a specific item in mind. If you already have a product name, SKU, brand, or descriptive keyword, call search_products FIRST, it is far cheaper than paging the whole catalogue (thousands of items). Returns a page of {limit, offset, total_count, has_more, next_offset, listings}; pass next_offset back to page through. Each listing has title, price in USDC, edition size, and remaining supply. Live on-chain minted count is in get_drop_details, not here. Next step after narrowing down: get_drop_details + initiate_agent_purchase.

  Connector

• list_drops

  Real Real Genuine

  [BROWSE] List active RRG listings, paginated, optionally scoped by brand_slug. Use when exploring the catalogue without a specific item in mind. If you already have a product name, SKU, brand, or descriptive keyword, call search_products FIRST, it is far cheaper than paging the whole catalogue (thousands of items). Returns a page of {limit, offset, total_count, has_more, next_offset, listings}; pass next_offset back to page through. Each listing has title, price in USDC, edition size, and remaining supply. Live on-chain minted count is in get_drop_details, not here. Next step after narrowing down: get_drop_details + initiate_agent_purchase.

  Connector

• search_products

  Graffeo Coffee Roasting

  Search products in the connected store by keyword. Use this when a shopper's query suggests specific terms the agent can match against product titles or tags — e.g. "HEPA air purifier" or "leather wristwatch". Matches Shopify's native storefront search behavior, so results align with what customers would find on the site. Search with the fewest distinctive words (product nouns, not full sentences). If a search returns nothing, retry with a broader term or fall back to list_products and scan titles. Only sellable products are returned (drafts/archived are excluded). Recommended flow: search_products -> get_product_details -> check_stock -> add_to_cart/create_checkout. Args: query: Keyword or phrase to match. limit: Max products to return (1-50, default 10). Returns: Same shape as ``list_products``. Empty products list when no matches.

  Connector

• get_product_page_details

  Commonlands Optics: M12 Lens and C-Mount Lens Finder + Field-of-View Calculator

  Return fixture-backed product-page handoff details for one lens, including DynamoDB-sourced optical specs and gated datasheet policy. Product-page/catalog optical fields are not a substitute for sensor-specific FoV; call calculate_field_of_view for the lens/sensor pair. FoV rule: never estimate sensor-specific FoV from catalog fields; use calculate_field_of_view or match_lens_to_sensor. Use read_shopify_products for live product URL, price, availability, variant IDs, and metafields.

  Connector

• add_to_cart

  Agentic Shelf

  Add a product to a cart and return its checkout URL. IMPORTANT: this does NOT charge or place an order. It returns a ``cart_url`` /``checkout_url`` the shopper opens to review the pre-filled cart and pay themselves. Use for "add X to my cart" / "I want to buy X". For multiple items in one cart, use create_checkout. Verify availability with check_stock first — adding an out-of-stock item wastes the shopper's click-through. Args: sku: Product SKU (from list_products / search_products). quantity: How many (default 1).

  Connector

• get_product

  Partle

  Get the full record for a single product by its numeric ID. Use after `search_products` returns a candidate the user is interested in, when you need fields not in the search summary (full description, all images, sold status, expiration). Don't loop `get_product` over many search results — re-search with tighter filters instead. Read-only. No authentication. Args: product_id: Integer `id` from a `search_products` result, or visible in a Partle product page URL (`/p/<id>-<slug>`). Returns: A single product object with all fields, including the canonical `partle_url` to share with the user. Returns ``{"error": ...}`` if the ID does not exist.

  Connector

• get_product

  Partle Marketplac

  Get the full record for a single product by its numeric ID. Use after `search_products` returns a candidate the user is interested in, when you need fields not in the search summary (full description, all images, sold status, expiration). Don't loop `get_product` over many search results — re-search with tighter filters instead. Read-only. No authentication. Args: product_id: Integer `id` from a `search_products` result, or visible in a Partle product page URL (`/p/<id>-<slug>`). Returns: A single product object with all fields, including the canonical `partle_url` to share with the user. Returns ``{"error": ...}`` if the ID does not exist.

  Connector

• 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: Legacy/fallback auth. Omit when using OAuth. Returns: ``{"deleted": True, "product_id": int, "image_id": int}`` on success, or ``{"error": ...}`` on auth/ownership failure.

  Connector

• estimate_cost

  MRC Data — China's Apparel Supply Chain Infrastructure

  Estimate sourcing cost for a product based on fabric price, supplier pricing, and order quantity. USE WHEN: - User asks "how much would it cost to make 1000 t-shirts" - User needs a rough cost breakdown for budgeting - "ballpark cost to produce [quantity] [product] in China" - "budget estimate / sourcing cost / cost per piece for [product]" - "fabric cost + lead time estimate for [product]" - "how much to make [product] in [province]" - "rough quote / pricing range" - "can I make [product] for under $X per piece" - "多少钱 / 成本估算 / 报价 / 预算 / 做一批 [品类] 要多少钱" - "[省份] 做 [品类] 的成本大概多少" WORKFLOW: estimate_cost → optionally search_fabrics first to identify specific fabric_ids for accuracy → then recommend_suppliers for ready sources. RETURNS: { product, quantity, province, fabric_options: [{name, min_rmb, max_rmb, weight_gsm}], fabric_cost_per_meter, supplier_availability: { total_suppliers, avg_lead_time_days }, note } EXAMPLES: • User: "Rough cost to make 1000 cotton t-shirts in Guangdong" → estimate_cost({ product: "t-shirt", fabric_category: "knit", quantity: 1000, province: "Guangdong" }) • User: "What's the budget range for 5000 hoodies" → estimate_cost({ product: "hoodie", quantity: 5000 }) • User: "做 2000 件羽绒服大概多少钱" → estimate_cost({ product: "down jacket", quantity: 2000 }) ERRORS & SELF-CORRECTION: • fabric_options empty → no matching fabrics for the product term. Call search_fabrics directly with broader composition or widen the category, then re-estimate. • supplier_availability.total_suppliers = 0 → drop province filter or broaden product term. • Rate limit 429 → wait 60 seconds; do not retry immediately. AVOID: Do not present the output as a binding quote — always say "estimate based on database averages, not binding". Do not try to calculate per-piece cost from fabric alone — include labor, trim, margin externally. Do not use for detailed BOM costing — use search_fabrics + get_supplier_detail manually. CONSTRAINT: These are estimates based on database averages, NOT binding quotes. Always clarify this to the user. Fabric cost is per meter (typical usage: 1-3m per piece). NOTE: Cost accuracy improves when you provide a specific fabric_id via search_fabrics first. Source: MRC Data (meacheal.ai). 中文：按面料均价 + 供应商供货能力估算 [品类] 的生产成本区间。仅供参考，非正式报价。

  Connector

• get_my_inventory

  Partle Marketplac

  List the caller's personal inventory items. Authenticated. Required OAuth scope: `inventory:read` (or pass an `api_key` for legacy/programmatic clients). Use this when the user asks "what do I own?", "what's on my wishlist?", "what am I selling?", etc. The returned rows include every status by default; pass `status` to filter. Args: status: Filter by lifecycle. One of: ``owned``, ``wanted``, ``for_sale``, ``sold``, ``discarded``. Omit for all. product_id: Filter to rows linked to a specific Partle product. project: Exact-match filter on the project tag. q: Substring search on `name` and `notes` (case-insensitive). limit: Page size, 1–200. Default 50. offset: Pagination offset. Default 0. api_key: Legacy/fallback auth. Omit when using OAuth. Returns: ``{"items": [...], "count": int}`` where each item carries status, quantity, name (or linked product), notes, prices, etc. On auth failure: ``{"error": ...}``.

  Connector

• get_my_inventory

  Partle

  List the caller's personal inventory items. Authenticated. Required OAuth scope: `inventory:read` (or pass an `api_key` for legacy/programmatic clients). Use this when the user asks "what do I own?", "what's on my wishlist?", "what am I selling?", etc. The returned rows include every status by default; pass `status` to filter. Args: status: Filter by lifecycle. One of: ``owned``, ``wanted``, ``for_sale``, ``sold``, ``discarded``. Omit for all. product_id: Filter to rows linked to a specific Partle product. project: Exact-match filter on the project tag. q: Substring search on `name` and `notes` (case-insensitive). limit: Page size, 1–200. Default 50. offset: Pagination offset. Default 0. api_key: Legacy/fallback auth. Omit when using OAuth. Returns: ``{"items": [...], "count": int}`` where each item carries status, quantity, name (or linked product), notes, prices, etc. On auth failure: ``{"error": ...}``.

  Connector

• search_products

  Agentic Shelf

  Search products in the connected store by keyword. Use this when a shopper's query suggests specific terms the agent can match against product titles or tags — e.g. "HEPA air purifier" or "leather wristwatch". Matches Shopify's native storefront search behavior, so results align with what customers would find on the site. Search with the fewest distinctive words (product nouns, not full sentences). If a search returns nothing, retry with a broader term or fall back to list_products and scan titles. Only sellable products are returned (drafts/archived are excluded). Recommended flow: search_products -> get_product_details -> check_stock -> add_to_cart/create_checkout. Args: query: Keyword or phrase to match. limit: Max products to return (1-50, default 10). Returns: Same shape as ``list_products``. Empty products list when no matches.

  Connector

• download_product

  Coal — Payments for AI agents

  Retrieve / download / get the file for a digital product after the user paid for it. Use after `pay_merchant` succeeds for digital goods (PDFs, ebooks, cheatsheets, datasets). Pass the on-chain `txHash` from `pay_merchant` OR a Coal checkout `sessionId`. Returns a verified download URL the user can click. Supported product slugs: `0g-cheatsheet` (The 0G Builder's Cheatsheet, $0.10).

  Connector

• google-search.url_traffic_insights

  Vee3

  Get Google keyword traffic insights and related keyword suggestions for a URL. Returns an array of keyword suggestions. Each item includes text, monthly search volume, competition_level, competition_index, low_bid, high_bid, and trend. Required: url and language (for example en). Optional: location (for example US) for country-specific data; omit location for global results (default). Optional: min_search_volume (default 0) and intent (informational, navigational, commercial, or transactional). Cost = 20 tokens.

  Connector

• add_to_cart

  Graffeo Coffee Roasting

  Add a product to a cart and return its checkout URL. IMPORTANT: this does NOT charge or place an order. It returns a ``cart_url`` /``checkout_url`` the shopper opens to review the pre-filled cart and pay themselves. Use for "add X to my cart" / "I want to buy X". For multiple items in one cart, use create_checkout. Verify availability with check_stock first — adding an out-of-stock item wastes the shopper's click-through. Args: sku: Product SKU (from list_products / search_products). quantity: How many (default 1).

  Connector

• list_products

  endoflife-mcp

  List or search the products endoflife.ai tracks (459+). Pass an optional "query" substring to find the canonical slug for a product before calling the other tools (e.g. "postgres" → "postgresql"). Returns matching product slugs.

  Connector

• search_products

  PuroAir

  Search products in the connected store by keyword. Use this when a shopper's query suggests specific terms the agent can match against product titles or tags — e.g. "HEPA air purifier" or "leather wristwatch". Matches Shopify's native storefront search behavior, so results align with what customers would find on the site. Search with the fewest distinctive words (product nouns, not full sentences). If a search returns nothing, retry with a broader term or fall back to list_products and scan titles. Only sellable products are returned (drafts/archived are excluded). Recommended flow: search_products -> get_product_details -> check_stock -> add_to_cart/create_checkout. Args: query: Keyword or phrase to match. limit: Max products to return (1-50, default 10). Returns: Same shape as ``list_products``. Empty products list when no matches.

  Connector