
SearchShopAI MCP server
Which servers in the official MCP registry are SearchShopAI's own, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.
read 2026-10-23
- Registry nameai.searchshop.www/la-luerverified in the MCP registry
The registry name sits under searchshop.ai. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-23
- Tools14
- Server calls itselfLa Luer Shopping
- Server version0.3.0
- Protocol version2025-06-18
On 2026-10-23 the server answered initialize and tools/list without a sign-in. First answer in 237 ms.
- Whether its tools do the product's job has not been judged yet.
- Checked on 1 of the 7 days it takes to judge reliability.
Once connected
- create_checkout change data without a sign-in: anyone with the address can call them.
Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.
- INITE MCP scoreafter a weeka score needs 7 daily checks: 1 so far
- Answeredmeasuring1 of the 7 daily checks it takes to print a share
- Median first answer162 ms
- Space in an agent's context≈ 3,297 tokensthe definitions of all its tools (14), which an agent carries on every turn
- Tool definitionsA · 100 of 100
- Typed results0 of 14 toolsdeclared outputSchema: results come typed, read once
- Every tool passes all six checks.
Worth a look
- Tools that change data, on a server that answers without a sign-in: create_checkout
A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (30%), doing the product's job (25%), definitions (20%), context (10%) and use (15%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →
shopStart 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)…
skincare_recommend(Deprecated: use 'recommend' instead. Works identically.) Get a personalized La Luer product recommendation with ingredient-aware scoring and routine building. Use when the user wants advice on what to buy, needs help choosing between…
recommendGet a personalized product recommendation with domain-expert scoring. Use when the user wants advice, has a concern, or asks what to buy. Returns scored products with checkout URLs.
skincare_cartCreate 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…
skincare_report_issueReport 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…
search_research_notesSearch 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…
get_research_noteGet the summary and URL of a specific SearchShopAI Research Note by its slug (returned by search_research_notes).
search_productsBrowse 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…
get_productGet 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…
compare_productsCompare 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…
create_checkoutCreate 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…
check_compatibilityCheck 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?'…
check_inventoryCheck 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.
deals_discountsShow 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…
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"la-luer": {
"type": "http",
"url": "https://searchshopai-mcp.fly.dev/mcp/la-luer"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http searchshop https://searchshopai-mcp.fly.dev/mcp/la-luerclaude.ai, ChatGPT and other clients: add https://searchshopai-mcp.fly.dev/mcp/la-luer as a custom connector in the settings.
- ai.searchshop/apostlemananswers, 10 toolsverified in the MCP registry
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
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