"Product Hunt" matching MCP tools:

• update_product

  Partle

  Update an existing product listing. Only provided fields are changed. Authenticated. OAuth (scope `products:write`) preferred; `api_key` accepted as fallback. Only fields you pass are changed; omitted fields are preserved. Idempotent — calling twice with the same input yields the same final state. For creating a new listing, use `create_product` instead. Caller must own the product. Trying to update someone else's product returns an error. Args: product_id: ID of the product to update. Get from `create_product`'s return value, `get_my_products`, or `search_products`. name: New product name. Omit to leave unchanged. description: New description. Omit to leave unchanged. price: New price in whole currency units (e.g. 15.99 = €15.99). Max 100000. Omit to leave unchanged. currency: New currency symbol. Omit to leave unchanged. url: New merchant URL. Omit to leave unchanged. api_key: Legacy/fallback auth. Omit when using OAuth. Returns: The updated product record (full, not just the changed fields), or ``{"error": ...}`` on auth/ownership/validation failure.

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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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• update_product

  Partle Marketplac

  Update an existing product listing. Only provided fields are changed. Authenticated. OAuth (scope `products:write`) preferred; `api_key` accepted as fallback. Only fields you pass are changed; omitted fields are preserved. Idempotent — calling twice with the same input yields the same final state. For creating a new listing, use `create_product` instead. Caller must own the product. Trying to update someone else's product returns an error. Args: product_id: ID of the product to update. Get from `create_product`'s return value, `get_my_products`, or `search_products`. name: New product name. Omit to leave unchanged. description: New description. Omit to leave unchanged. price: New price in whole currency units (e.g. 15.99 = €15.99). Max 100000. Omit to leave unchanged. currency: New currency symbol. Omit to leave unchanged. url: New merchant URL. Omit to leave unchanged. api_key: Legacy/fallback auth. Omit when using OAuth. Returns: The updated product record (full, not just the changed fields), or ``{"error": ...}`` on auth/ownership/validation failure.

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• analyze_competitor

  Analook — Competitor Intelligence

  Submit a competitor analysis job. Analyzes a competitor's website across 15+ data sources (SEO, traffic, social, Product Hunt, GitHub, Wayback Machine history, AI-generated insights, etc.) and returns a job_id. Use get_report_status(job_id) to poll and get_report(job_id) to retrieve results when status='completed'. Typical analysis takes 2-5 minutes. Requires authentication (deducts 1 credit from your Analook balance). Args: url: Competitor website URL (e.g. 'https://linear.app' or 'lovable.dev') product_name: Optional product name override (defaults to domain) Returns: {job_id: str, status: 'started', poll_url: str} on success {error: str, hint?: str} on auth/validation failure

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• get_btc_usdc_signal

  hypernatt-terminal

  Should I align with the live BTC vault? Real-time Mimo cycle LONG/SHORT/HOLD. USE WHEN: vault bias, cycle_id, open PnL (chain_snapshot), checkpoint HOLD. NOT WHEN: MM trap math (get_mm_trap_state) or hunt score alone. RETURNS: hypernatt_mimo_cycle_state_v1 — default summary v2 includes chain_snapshot, checkpoint_snapshot, interpretation_contract_v1 (PnL authority: chain only, not avg_entry). full_payload:true for per-leg detail. HOLD direction is always free. COST: 1 credit / 25 free day pool + intro / quota / $0.01 x402 Base. Side effects: none.

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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: Legacy/fallback auth. 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

  Partle

  Permanently delete a product listing and all its images. Destructive. Authenticated. OAuth (scope `products:write`) preferred; `api_key` fallback. Use only when the user explicitly asks to remove a listing they own. Cannot be undone — there is no soft-delete or trash bin. Idempotent: deleting a product that no longer exists returns an error, not duplicate side effects. Caller must own the product. Args: product_id: ID of the product to delete. Get from `get_my_products`. api_key: Legacy/fallback auth. Omit when using OAuth. Returns: ``{"deleted": True, "product_id": int}`` on success, or ``{"error": ...}`` on auth/ownership failure.

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• nws_get_office_discussion

  nws-weather-mcp-server

  Get the latest narrative forecast product from a Weather Forecast Office (WFO). The default product is AFD (Area Forecast Discussion), which explains the meteorological reasoning behind the forecast — synoptic setup, model guidance, and forecaster confidence. Other types: HWO (Hazardous Weather Outlook, 1-7 day severe/flood/winter outlook), ZFP (Zone Forecast Product, zone-by-zone text), SPS (Special Weather Statement, short-fuse advisory). The office code is the 3-letter WFO identifier returned as the "office" field by nws_get_forecast. Fetches the two-hop products API: list endpoint first (newest product), then the full product detail.

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• delete_product

  Partle Marketplac

  Permanently delete a product listing and all its images. Destructive. Authenticated. OAuth (scope `products:write`) preferred; `api_key` fallback. Use only when the user explicitly asks to remove a listing they own. Cannot be undone — there is no soft-delete or trash bin. Idempotent: deleting a product that no longer exists returns an error, not duplicate side effects. Caller must own the product. Args: product_id: ID of the product to delete. Get from `get_my_products`. api_key: Legacy/fallback auth. Omit when using OAuth. Returns: ``{"deleted": True, "product_id": int}`` on success, or ``{"error": ...}`` on auth/ownership failure.

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• product_recalls

  dynamic-feed

  US product recalls — food, drug & medical-device enforcement reports (openFDA, keyless, CC0). `category` = all | food | drug | device; `query` matches the product description. Most-recent first; Class I = most serious. Use for "is product/brand X recalled right now". Informational — confirm against the official FDA recall notice.

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• 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: Legacy/fallback auth. 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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• fda_search_510k

  FDA Data MCP

  Search FDA 510(k) clearances across all companies. Filter by company name (fuzzy match), product code, decision code (e.g., SESE=substantially equivalent), clearance type (Traditional, Special, Abbreviated), and date range. Returns clearance number (K-number), applicant, device name, decision date, and product code. Related: fda_device_class (product code details and classification), fda_product_code_lookup (cross-reference a product code across 510(k) and PMA), fda_search_pma (PMA approvals for higher-risk devices).

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• fda_device_recalls

  FDA Data MCP

  Search FDA device recalls by recalling firm (fuzzy match), product code, recall status, or date range. Returns device-specific recall details including root cause, event type, and product codes. Complements fda_search_enforcement which covers all product types. Related: fda_search_enforcement (all recalls including drugs), fda_recall_facility_trace (trace to manufacturing facility), fda_device_class (product code details).

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• fda_device_class

  FDA Data MCP

  Lookup FDA device classification details by product code. Returns device name, device class (I/II/III), medical specialty, regulation number, review panel, submission type, and definition. Requires: product code (3-letter code from 510(k), PMA, or device product listings). Related: fda_product_code_lookup (cross-reference across 510(k) and PMA), fda_search_510k (clearances for this product code), fda_search_pma (PMA approvals for this product code).

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• list_categories

  iNutriPlan Supplement Database MCP Server

  Return all available iHerb product categories with their URL slugs and live product counts. Use the slug value with get_supplements_by_category to browse products within a specific category.

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• chieflab_record_manual_metrics

  ChiefLab

  P116 — paste-what-you-see metric fallback for channels without public-API measurement (X, LinkedIn, Email, landing pages, Product Hunt). USE WHEN a published action's channel doesn't have a public-JSON metrics endpoint (anything except hacker_news / reddit) AND the founder is ready to paste the visible numbers. Reads metadata.proof.artifactUrl to confirm the post is recorded, writes the provided metrics into metadata.proof.metrics + measuredAt, auto-classifies the outcome (channel-specific thresholds: X needs likes/replies, LinkedIn needs reactions/comments, Email needs opens/clicks/replies, etc.), and creates next-move actions just like the auto-measurement path. Returns the metric schema for the channel so callers can render the right form fields.

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• chieflab_review_visual_asset

  ChiefLab

  P104 — approve or reject a single visual asset (LinkedIn graphic / X image / landing hero / Product Hunt gallery / carousel slide). USE WHEN a reviewer hits 'Approve' or 'Reject' on a launch image in the Launch Room. Reads the run's stored visualAssets list, updates the matching asset's status (approved | rejected | pending_approval), persists the change to run metadata so future loads + the channel-media render reflect the decision. Companion to chieflab_regenerate_visual_asset (which produces an updated asset shape without persisting).

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• chieflab_record_manual_publish

  ChiefLab

  USE WHEN the user has manually posted to a channel returned by chieflab_use_manual_fallback (Product Hunt / HN / Reddit / Discord / etc.) and wants to feed the live URL back to ChiefLab so the closed loop continues. Records the URL on the original publishAction (status flips from 'approved' to 'executed' with metadata.executedManually=true + metadata.publishedUrl), persists a proof_asset to the P9 company brain, and queues 24-hour metrics readback via chiefmo_post_launch_review. Without this tool, manually-posted channels are lost to ChiefLab's measurement loop.

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• search_recalls

  DeepRecall - Product Safety Intelligence

  Search for recalled products similar to your query. This tool searches DeepRecall's global product safety database using AI-powered multimodal matching. Provide a text description and/or product images to find similar recalled products. Use Cases: - Pre-purchase safety checks: Before buying, verify if similar products were recalled - Supplier vetting: Check if a supplier's products have safety issues - Marketplace compliance: Verify products against recall databases - Consumer protection: Identify potentially hazardous products Data Sources: - us_cpsc: US Consumer Product Safety Commission - us_fda: US Food and Drug Administration - safety_gate: EU Safety Gate (Europe) - uk_opss: UK Office for Product Safety & Standards - canada_recalls: Health Canada Recalls - oecd: OECD GlobalRecalls portal - rappel_conso: French Consumer Recalls - accc_recalls: Australian Competition and Consumer Commission Cost: 1 API credit per search Args: content_description: Text description of the product (e.g., "children's toy with small parts") image_urls: List of product image URLs for visual matching (1-10 images) filter_by_data_sources: Limit search to specific agencies (optional) top_k: Number of results (1-100, default: 10) model_name: Fusion model - fuse_max (recommended), fuse_flex, or fuse input_weights: Weights for [text, images], must sum to 1.0 api_key: Your DeepRecall API key (optional if provided via X-API-Key header) Returns: Search results with matched recalls, scores, and product details Example: search_recalls( content_description="baby crib with drop-side rails", top_k=5 )

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• get_product

  discovery

  <tool_description> Get detailed product information by ID. Alias for nexbid_product. </tool_description> <when_to_use> When you have a product UUID from list_products or nexbid_search. </when_to_use> <combination_hints> list_products → get_product → create_media_buy or nexbid_purchase. </combination_hints> <output_format> Full product details: name, description, price, currency, availability, brand, category, link. </output_format>

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