SearchShop AI

REMOTE · SEARCHSHOPAI-MCP.FLY.DEV · SCANNED AUG 3

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

Available components

remote · searchshopai-mcp.fly.dev 66

+7 this week 66 66 Trust /100

Deprecated

This server is marked deprecated in the MCP registry.

Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score →

Endpoint Security74

The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. See how to fix → View diagnostics → Partial
HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail

Transport & Reachability100

Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass

Schema Quality & AI Usability39

0% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Fail
AI-judged instruction clarity (good).Pass
Context-footprint check failed: tool/resource definitions use about 1686 tokens (~129/item across 13 items; 11 tools + 2 resources), over budget; trim descriptions and params. See how to fix → Fail
Usage-examples check failed: none of the tools include examples. See how to fix → Fail

Stability & Change Management27

Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial

Tool Coverage100

100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
100% of tool parameters carry a description.Pass

Capabilities100

Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Supports UI / widget rendering.Pass

Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

remote · searchshopai-mcp.fly.dev

Claude Codex opencode OpenClaw Hermes Other

# add to Claude Code

claude mcp add --transport http nathangrotticelli-searchshopai https://searchshopai-mcp.fly.dev/mcp

# ~/.codex/config.toml

[mcp_servers.nathangrotticelli-searchshopai]
url = "https://searchshopai-mcp.fly.dev/mcp"

// opencode.json

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "nathangrotticelli-searchshopai": {
      "type": "remote",
      "url": "https://searchshopai-mcp.fly.dev/mcp",
      "enabled": true
    }
  }
}

# add to OpenClaw

openclaw mcp add nathangrotticelli-searchshopai --url https://searchshopai-mcp.fly.dev/mcp --transport streamable-http

# ~/.hermes/config.yaml

mcp_servers:
  nathangrotticelli-searchshopai:
    url: "https://searchshopai-mcp.fly.dev/mcp"

// mcp.json

{
  "mcpServers": {
    "nathangrotticelli-searchshopai": {
      "type": "http",
      "url": "https://searchshopai-mcp.fly.dev/mcp"
    }
  }
}

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

2 Aug 26 +1

No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.
31 Jul 26 +4
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
30 Jul 26 +1
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
28 Jul 26 +1

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.
27 Jul 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
26 Jul 26 59

First indexed and scored.

Show 5 earlier entries Hide earlier entries

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 3 Aug 2026 · Probed https://searchshopai-mcp.fly.dev/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject	Issuer	Valid from	Valid until	Key	Signature	Serial
CN=*.fly.dev	CN=YE2,O=Let's Encrypt,C=US	21 Jun 2026	19 Sept 2026	ECDSA 256	ECDSA-SHA384	503153e73302e4a0c89ebb83c4a741aac04
SANs: *.fly.dev
CN=YE2,O=Let's Encrypt,C=US (CA)	CN=Root YE,O=ISRG,C=US	3 Sept 2025	2 Sept 2028	ECDSA 384	ECDSA-SHA384	4df3b15dd6c0784c507cd37b58e6f115
CN=Root YE,O=ISRG,C=US (CA)	CN=ISRG Root X2,O=Internet Security Research Group,C=US	13 May 2026	2 Sept 2032	ECDSA 384	ECDSA-SHA384	872165fc34b6e5fba8add5b3705fb53a
CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA)	CN=ISRG Root X1,O=Internet Security Research Group,C=US	13 May 2026	2 Sept 2032	ECDSA 384	SHA256-RSA	6c8f1dc727c7117f7baf853ac980f9cd

DNSSEC insecure

Validation of searchshopai-mcp.fly.dev. — Not signed

Zone	DS	Keys	Algorithms	Outcome
.	trust_anchor	20326, 38696	8, 8	Verified
dev.	present	60074	8	Verified
fly.dev.	absent			Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation

Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result	No authorisation required
HTTP status	200

Transports 2 probes

Transport	URL	Outcome	Status	Location
streamable-http	https://searchshopai-mcp.fly.dev/mcp	Verified	200
http (plaintext)	http://searchshopai-mcp.fly.dev/mcp	HTTPS enforced	301	https://searchshopai-mcp.fly.dev/mcp

MCP tools — 11 exposed · ~1,676 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens

compare_products ~95

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.

Input Output Examples

Name	Type	Req	Description
products	array	yes	Product titles or SKUs to compare (e.g. ['MIRA', 'CryoSculpt'])

No output schema declared.

No examples provided.

create_checkout ~214

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.

Input Output Examples

Name	Type	Req	Description
decision_id	string	—	Decision Check ID from a prior /validate call. Required when this merchant enforces authority-gated checkout (require_authority_for_checkout); ignored otherwise.
discount_code	string	—	Discount code to apply (e.g. 'WELCOME10')
items	array	—	Products to add to cart by variant ID
note	string	—	Cart note visible to the merchant
product_urls	array	—	Products to add to cart by URL — resolved to variant IDs automatically

No output schema declared.

No examples provided.

get_product ~119

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.

Input Output Examples

Name	Type	Req	Description
sku	string	—	Exact product SKU (e.g. 'LL-4632379916336')
title	string	—	Product title to search for (fuzzy match)

No output schema declared.

No examples provided.

get_research_note ~57

Get the summary and URL of a specific SearchShopAI Research Note by its slug (returned by search_research_notes).

Input Output Examples

Name	Type	Req	Description
slug	string	yes	The note slug, e.g. 'the-ai-attribution-blind-spot'

No output schema declared.

No examples provided.

recommend ~138

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).

Input Output Examples

Name	Type	Req	Description
brand	string	—	Filter to a specific brand
domain	string	—	Product domain (e.g. 'skincare', 'beauty_devices'). Auto-detected from merchant if omitted.
query	string	yes	Natural language query about product needs
strategy	string	—	Optional offer strategy override

No output schema declared.

No examples provided.

search_products ~280

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.

Input Output Examples

Name	Type	Req	Description
category	string	—	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. F…
max_price	number	—	Filter to products at or below this price
max_results	integer	—	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.
query	string	yes	Search query (e.g. 'vitamin c serum', 'anti-aging', 'moisturizer under $50')

No output schema declared.

No examples provided.

search_research_notes ~99

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.

Input Output Examples

Name	Type	Req	Description
query	string	yes	Topic or keywords, e.g. 'attribution', 'MCP', 'hallucinated prices'

No output schema declared.

No examples provided.

shop ~215

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.

Input Output Examples

Name	Type	Req	Description
brand	string	—	Secondary hint only — brand filter if stated.
budget_max	number	—	Secondary hint only — maximum budget if stated.
intent	string	—	Secondary hint only — the primary signal is `request`.
product_refs	array	—	Secondary hint only — exact product titles/SKUs when already known.
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.

No output schema declared.

No examples provided.

skincare_cart ~135

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.

Input Output Examples

Name	Type	Req	Description
products	array	—	Specific product titles to add to the cart
query	string	—	Natural language query to auto-recommend products. Only used if products array is not provided.
strategy	string	—	Optional offer strategy override when using query mode

No output schema declared.

No examples provided.

skincare_recommend ~177

(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.

Input Output Examples

Name	Type	Req	Description
brand	string	—	Filter to a specific brand only (e.g. 'Glossier', 'CeraVe', 'The Ordinary'). Use when the user asks for products from a specific brand.
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	—	Optional offer strategy override: starter, gentle, budget, glow_safe, minimal, strong, fallback

No output schema declared.

No examples provided.

skincare_report_issue ~147

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.

Input Output Examples

Name	Type	Req	Description
description	string	yes	What went wrong and what you expected instead
expected_products	array	—	What products should have been recommended
issue_type	string	yes	Type of issue
tool_name	string	yes	Which tool had the issue (skincare_recommend, skincare_cart, skincare_report_issue)
user_query	string	—	The original user query if available

No output schema declared.

No examples provided.

On this page

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Scoring key

80+ high trust
60–79 medium
below 60 low

How we score

Score history · last 30 days

26 Jul 3 Aug

Day	Score
26 Jul	59
27 Jul	59
28 Jul	60
29 Jul	60
30 Jul	61
31 Jul	65
1 Aug	65
2 Aug	66
3 Aug	66