mcpbeat

SearchShop AI MCP Server

io.github.nathangrotticelli/searchshopai
answering

SearchShop AI is answering right now. Last checked 12 min ago. It exposes 11 tools.

AI commerce for Shopify: product search, comparison, recommendations, and checkout via MCP.

The linked repository no longer exists on GitHub — it was deleted or made private.

Uptime history 41 hours of history
41 hours agonow
100.0%
Uptime 24h
91 of 91 checks
11
Tools
read from the server
312 ms
Response time
average over 24h
open, no key
Access
streamable-http

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 12 min ago.

run in your terminal
claude mcp add searchshopai --transport http https://searchshopai-mcp.fly.dev/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "searchshopai": {
      "url": "https://searchshopai-mcp.fly.dev/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.searchshopai]
url = "https://searchshopai-mcp.fly.dev/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "searchshopai": {
      "url": "https://searchshopai-mcp.fly.dev/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "searchshopai": {
      "url": "https://searchshopai-mcp.fly.dev/mcp"
    }
  }
}

Available tools 11

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

skincare
skincare_cart
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.
skincare_recommend
(Deprecated: use 'recommend' instead. Works identically.) Get a personalized skincare recommendation with ingredient-aware scoring, safety notes, and routine building. Use when the user wants advice, has a skin concern, or asks what to buy. Do not use for browsing or listing products — use search_products instead. Returns scored products with checkout URLs.
skincare_report_issue
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.
research
get_research_note
Get the summary and URL of a specific SearchShopAI Research Note by its slug (returned by search_research_notes).
search_research_notes
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.
checkout
create_checkout
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 first. Returns a direct Shopify checkout link the user can click to buy.
compare
compare_products
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.
product
get_product
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.
products
search_products
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, this does not score or filter — it shows everything that matches so the user can decide.
recommend
recommend
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).
shop
shop
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. The granular tools (search_products, get_product, compare_products, create_checkout) remain available as precise follow-ups.

Endpoints

URLTransportStateLatencyChecked
https://searchshopai-mcp.fly.dev/mcp streamable-http answering 336 ms 12 min ago

SearchShop AI — questions

Answers built from our own checks of this server.

What can SearchShop AI do?
It exposes 11 tools, read directly from the server on our last check. Among them: compare_products, create_checkout, get_product, get_research_note, recommend, search_products and 5 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
What is SearchShop AI mostly used for?
Its tools cluster around skincare and research. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is SearchShop AI working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 312 ms. The bar chart above shows every period we have measured.
Is SearchShop AI still maintained?
The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.
How do I connect SearchShop AI?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does SearchShop AI need an API key?
No. SearchShop AI completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 11 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is SearchShop AI?
It answers our handshake in 312 ms on average, which is faster than 45% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.