MCP server for advanced web search using Tavily
Nothing to run from here
La Luer — AI Skincare Commerce is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
14
tools declared
—
trust score
remote
at its publisher
—
calls last 7d
What it does
Search, compare, and purchase La Luer microcurrent facial devices and skincare products.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http la-luer-ai-skincare-commerce-mcp https://searchshopai-mcp.fly.dev/mcp/la-luer
# 2 — ask your agent for something these tools do
# shop, skincare_recommend, recommend and 11 more
La Luer — AI Skincare Commerce costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
SMAll 2 servers
searchshopai-mcp.fly.dev2 servers
2 categories
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
Claude Codedeclared by this listing
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, read from the address; if the publisher says otherwise, swap that one word.
claude mcp add --scope user --transport http la-luer-ai-skincare-commerce-mcp https://searchshopai-mcp.fly.dev/mcp/la-luerReconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it answers at its publisher’s own address: this marketplace is not in the path, so there is no key of ours to hold and no card to add.
What it writes
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
What you approve
14 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Start here for any shopping request. Pass the shopper's COMPLETE request in their own words and this tool will understand it and route to the right capability (personalized recommendation, catalog search, product lookup, or comparison), preserving every qualifier — concerns, skin type, budget, brand, medical context. Prefer this tool whenever the request is conversational or carries any nuance. Th
| Parameter | Type | Required | Notes |
|---|---|---|---|
| request | string | yes | The shopper's complete request in their own words. Include every detail: concern, skin type, budget, brand, product names, questions, medical context. Do not summarize or drop qualifiers. |
| intent | string | no | Secondary hint only — the primary signal is request. |
| budget_max | number | no | Secondary hint only — maximum budget if stated. |
| brand | string | no | Secondary hint only — brand filter if stated. |
| product_refs | array | no | Secondary hint only — exact product titles/SKUs when already known. |
(Deprecated: use 'recommend' instead. Works identically.) Get a personalized La Luer product recommendation with ingredient-aware scoring, safety notes, and routine building. Use when the user wants advice on what to buy, needs help choosing between products, has a specific skin concern (acne, aging, dryness, sensitivity, etc.), wants a routine, or asks "what should I use for X." Do not use for br
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | Natural language query about skin concerns (e.g. 'I have oily acne-prone skin and want something gentle under $30') |
| strategy | string | no | Optional offer strategy override: starter, gentle, budget, glow_safe, minimal, strong, fallback |
| brand | string | no | Filter to a specific brand only (e.g. 'Glossier', 'CeraVe', 'The Ordinary'). Use when the user asks for products from a specific brand. |
Get a personalized product recommendation with domain-expert scoring, safety notes, and transaction authority. Use when the user wants advice, has a concern, or asks what to buy. Returns scored products with checkout URLs, safety assessment, and authority state (SHOULD/CAN/SHOULDNT/ESCALATE/CANT).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | Natural language query about product needs |
| strategy | string | no | Optional offer strategy override |
| brand | string | no | Filter to a specific brand |
| domain | string | no | Product domain (e.g. 'skincare', 'beauty_devices'). Auto-detected from merchant if omitted. |
Create a buyable shopping cart with a real checkout URL. Two modes: (1) Pass 'products' array with specific product names. (2) Pass 'query' string to auto-recommend and cart. Do not use for browsing or recommendations — use search_products or skincare_recommend first. Returns a widget with the cart items and a working checkout link.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| products | array | no | Specific product titles to add to the cart |
| query | string | no | Natural language query to auto-recommend products. Only used if products array is not provided. |
| strategy | string | no | Optional offer strategy override when using query mode |
Report when a tool result was unhelpful, incomplete, or wrong. Call this whenever you override a recommendation, skip a cart result, or notice the engine output doesn't match what the user needs. Do not use proactively — only when you observe an actual issue. This helps improve the engine.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| tool_name | string | yes | Which tool had the issue (skincare_recommend, skincare_cart, skincare_report_issue) |
| issue_type | string | yes | Type of issue |
| description | string | yes | What went wrong and what you expected instead |
| user_query | string | no | The original user query if available |
| expected_products | array | no | What products should have been recommended |
Search SearchShopAI's Research Notes blog — data studies, playbooks, and field notes on agentic commerce (AI attribution, MCP, AI catalog accuracy, ChatGPT ads). Returns matching articles with titles, summaries, and URLs. Use when asked what SearchShopAI has written or published about a topic.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | Topic or keywords, e.g. 'attribution', 'MCP', 'hallucinated prices' |
Get the summary and URL of a specific SearchShopAI Research Note by its slug (returned by search_research_notes).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| slug | string | yes | The note slug, e.g. 'the-ai-attribution-blind-spot' |
Browse and search the product catalog. Use when the user wants to see what's available, look up specific products, browse by category, compare options, or asks 'show me' / 'what do you have.' Do not use when the user needs personalized recommendations based on skin concerns — use skincare_recommend instead. Returns all matching products with prices, images, and checkout. Unlike skincare_recommend,
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | Search query (e.g. 'vitamin c serum', 'anti-aging', 'moisturizer under $50') |
| max_results | integer | no | Maximum products to return (default 10). Only set this if the user specifies a count — e.g. 'show me 2 devices' → 2. Otherwise leave it unset and the default will return all relevant matches up to 10. |
| max_price | number | no | Filter to products at or below this price |
| category | string | no | Filter by exact product category from the catalog (e.g. 'serum', 'treatment', 'cleanser', 'moisturizer'). Do not guess categories — only use this if the user explicitly mentions a catalog category. Fo |
Get full details for a specific product by SKU or title. Use when the user asks about a specific product by name (e.g. 'tell me about MIRA', 'show me the serum'). Do not use for browsing or recommendations — use search_products or skincare_recommend. Returns a widget card with the product details, image, price, and checkout button.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| sku | string | no | Exact product SKU (e.g. 'LL-4632379916336') |
| title | string | no | Product title to search for (fuzzy match) |
Compare two or more products side by side. Use when the user asks to compare, says 'X vs Y', or wants to decide between options. Do not use for single product lookup — use get_product instead. Returns structured comparison with shared attributes, differences, tradeoffs, and a decision hint.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| products | array | yes | Product titles or SKUs to compare (e.g. ['MIRA', 'CryoSculpt']) |
Create a checkout URL for one or more products. Pass variant IDs (items) and/or product URLs (product_urls). When a product URL is provided (e.g. https://laluer.com/products/mira), the tool resolves it to a variant ID automatically — no catalog import needed. Supports discount codes, cart notes, and selling plans. Do not use unless the user wants to buy — use search_products or skincare_recommend
| Parameter | Type | Required | Notes |
|---|---|---|---|
| items | array | no | Products to add to cart by variant ID |
| product_urls | array | no | Products to add to cart by URL — resolved to variant IDs automatically |
| discount_code | string | no | Discount code to apply (e.g. 'WELCOME10') |
| note | string | no | Cart note visible to the merchant |
| decision_id | string | no | Decision Check ID from a prior /validate call. Required when this merchant enforces authority-gated checkout (decision_policy.authority_mode: "enforce", or the legacy require_authority_for_checkout al |
Check which products are compatible with a given product. For devices, shows required consumables (e.g., conductive gel for MIRA). For topicals, shows which devices they work with. Use when a customer asks 'what gel do I need with MIRA?' or 'does this serum work with CryoSculpt?'
| Parameter | Type | Required | Notes |
|---|---|---|---|
| product | string | yes | Product name or SKU to check compatibility for |
Check if a product is currently available. Uses Shopify Storefront API to verify real-time stock status. Use when a customer asks 'is MIRA in stock?' or before recommending a product.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| product | string | yes | Product name or SKU to check availability for |
Show available bundles, deals, and ask about discount codes. Use when a customer asks about deals, bundles, savings, or says 'do you have any discounts?' Also use when multiple items are in cart to suggest bundle savings. Always ask if the customer has a discount code.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| discount_code | string | no | Customer's discount code if they have one |
Free
$0 forever
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install La Luer — AI Skincare Commerce or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
—
Alert at 80% · then the tool returns a normal MCP error
Used this month: —
—Grade not published
No rule-by-rule report on file for this release
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 0.3.0.
0.3.0
undated
latestNo release note was published with this version.
—
no reviews yet
Who can review
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Sign in to write one
Any signed-in account that does not publish La Luer — AI Skincare Commerce can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
No reviews yet
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.