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AirShelf Catalog

REMOTE · MCP.AIRSHELF.AI · SCANNED AUG 3

Cross-vendor B2B catalog for AI agents: search, compare, find equivalents, request a quote.

Available components

+3 this week 58 Trust /100
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 Security63
Transport & Reachability100
Schema Quality & AI Usability18
  • 0% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Fail
  • AI-judged instruction clarity (poor).Fail
  • Context-footprint check failed: tool/resource definitions use about 2363 tokens (~236/item across 10 items; 7 tools + 3 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
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.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 · mcp.airshelf.ai

# add to Claude Code
claude mcp add --transport http ai-airshelf-catalog https://mcp.airshelf.ai/mcp
# ~/.codex/config.toml
[mcp_servers.ai-airshelf-catalog]
url = "https://mcp.airshelf.ai/mcp"
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ai-airshelf-catalog": {
      "type": "remote",
      "url": "https://mcp.airshelf.ai/mcp",
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add ai-airshelf-catalog --url https://mcp.airshelf.ai/mcp --transport streamable-http
# ~/.hermes/config.yaml
mcp_servers:
  ai-airshelf-catalog:
    url: "https://mcp.airshelf.ai/mcp"
// mcp.json
{
  "mcpServers": {
    "ai-airshelf-catalog": {
      "type": "http",
      "url": "https://mcp.airshelf.ai/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.

  • 3 Aug 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

  • 1 Aug 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.

  • 31 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
  • 29 Jul 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

  • 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 +2
    • 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 53

    First indexed and scored.

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://mcp.airshelf.ai/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=*.airshelf.ai CN=YR1,O=Let's Encrypt,C=US 13 Jul 2026 11 Oct 2026 RSA 2048 SHA256-RSA 5cc011b08c4a2d939f140828e818054568e
SANs: *.airshelf.ai, airshelf.ai
CN=YR1,O=Let's Encrypt,C=US (CA) CN=Root YR,O=ISRG,C=US 3 Sept 2025 2 Sept 2028 RSA 2048 SHA256-RSA a20253f15f2691c05dc1ce13b9bcca4e
CN=Root YR,O=ISRG,C=US (CA) CN=ISRG Root X1,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 RSA 4096 SHA256-RSA f24b6d17f9d9ad7cb1c9fea78782699f
DNSSEC insecure

Validation of mcp.airshelf.ai. Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
ai. present 3799 8 Verified
airshelf.ai. 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
Header Value
strict-transport-security max-age=63072000
Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://mcp.airshelf.ai/mcp Verified 200
http (plaintext) http://mcp.airshelf.ai/mcp HTTPS enforced 308 https://mcp.airshelf.ai/mcp
MCP tools — 7 exposed · ~1,637 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 ~174

Compare 2-10 catalog products side-by-side on their datasheet specs. Slugs come from search_catalog and are case-insensitive and dash-tolerant ("e-STUDIO 331AC", "toshiba-e-studio-331ac" and "e-studio331ac" all resolve to the same product). Returns one item per product with canonical_name and spec_absence_note (spec fields absent from that product's golden record). A slug that does not resolve comes back as not_found with a did_you_mean suggestion. Set `provenance` to include per-claim sources, a signed-attestation URL, and jwks_url.

NameTypeReqDescription
provenancebooleanInclude per-claim source provenance + signed-attestation URL + jwks_url
slugsarrayyesCatalog slugs to compare
NameTypeReqDescription
countnumber
itemsarrayyes

No examples provided.

explain_product ~52

Return the agentic build trace (BuilderRunTrace) for a SKU — every stage of the cold-run pipeline that produced this catalog row, including costs and outcomes.

NameTypeReqDescription
slugstringyesComposite slug to explain
NameTypeReqDescription
notestring
skustring
slugstring
trace

No examples provided.

find_products ~368

Discover candidate products for a buyer need the verified catalog does not cover, and verify each one. Takes a need in natural language (e.g. "best value home espresso machine", market "TH"), runs a live web search, and returns up to 3 candidates, each independently checked by a live lookup against a fetched source page. This applies when the need is described rather than named and search_catalog returned weak_match or nothing. For a specific brand+model, search_catalog is cheaper and returns the same live-lookup block on a miss. Response fields: • candidates[].verification — always "live-unverified": each candidate is a single-source reading of the page at candidates[].source_url, not an AirShelf-verified catalog record. • candidates[].status — "resolved" means MPN-confirmed against that page; "abstain" means the product could not be confirmed to exist as named, so no specs, price, or availability were established. • Candidates come from current web-search results, so they are a sample of what the market offers rather than a ranking. • status at the top level — "disabled" or "rate_limited" means no discovery ran. Optional `market` (ISO 3166-1 alpha-2) biases both discovery and each verification toward that country's retailers and scopes the lookup cache.

NameTypeReqDescription
marketstringBuyer market as ISO 3166-1 alpha-2 country code (e.g. "TH"). Biases discovery + verification and scopes the cache.
maxintegerMax candidates to verify (each costs a live lookup; capped at 3).
needstringyesThe buyer need in natural language, e.g. "quiet mechanical keyboard for open office" or "best value home espresso machine".
NameTypeReqDescription
candidatesarrayyes
errorstring
guidancestring
market
needstring
serp_considerednumber
statusstring
took_msnumber
verificationstring

No examples provided.

get_product ~81

Get the full golden record and latest price for one catalog product by slug ("<manufacturer>-<model>"). Returns the product's specs and provenance, plus canonical_name (its exact catalog name). In clients that render MCP Apps the response also draws one product card per call.

NameTypeReqDescription
slugstringyesComposite slug, e.g. keychron-q1-pro
NameTypeReqDescription
actionstringyes
benefitsarray
buttonLabelstringyes
buyUrlstring
imageUrlstring
pricing_gatedboolean
productobject
productIdstringyes
titlestringyes

No examples provided.

list_merchants ~54

List the AirShelf merchants whose catalogs are searchable and who can receive a quote request, across every category. Returns each merchant's name, slug, and product count; the slug is the `merchant` argument for request_quote.

Input schema present but exposes no named parameters.

NameTypeReqDescription
merchantsarrayyes
totalnumber

No examples provided.

request_quote ~288

Send a quote request for catalog products to a merchant's sales team on behalf of a named buyer. This is a two-step, double opt-in flow. The first call emails a confirmation link to `contact.email` and returns status "confirmation_required" — at that point no lead exists and the merchant has not been contacted. The buyer opens that email and confirms, and confirming is what sends their details onward. A later call with the same arguments reports where the request stands: "awaiting_confirmation" while the email is unconfirmed, or "received" with a reference_number once the buyer has confirmed. Resolve `merchant` from list_merchants. For a brand list_merchants does not return (network-catalog brands), pass merchant:"airshelf-network" with brandSlug:"<manufacturer-slug>" and AirShelf routes the confirmed request to that brand.

NameTypeReqDescription
brandSlugstringManufacturer slug (from search results) — required with merchant:"airshelf-network" so the lead reaches the right brand
contactobjectyesBuyer contact details
merchantstringyesMerchant slug or id (from list_merchants), or "airshelf-network" for network-catalog brands
notesstringAny extra context from the buyer
productsarrayyesCatalog slugs the buyer is interested in
quantityintegerUnits the buyer wants
NameTypeReqDescription
next_stepstring
reference_numberstring
statusstring

No examples provided.

search_catalog ~620

Search the AirShelf cross-vendor product catalog by natural-language query, across any brand and category (e.g. flowers, jewelry, skincare, chocolate, apparel, keyboards, office printers, industrial hardware). Returns ranked products with prices, specs, and per-row match accounting. Example queries: "birthday bouquet under $80", "minimalist gold necklace", "Toshiba A3 colour multifunction device", "tactile mechanical keyboard under $150". Result fields: • canonical_name — the exact catalog name of the product. • spec_absence_note — spec fields absent from this product's golden record; null when nothing is missing. • constraint_match_score, matched_criteria, missing_criteria — which of the query's spec constraints the row satisfies. • parsed.price_availability — all_null = true means every returned price is null, which is normal for B2B unlisted pricing; query_had_budget reports whether the query carried one. • parsed.weak_match — the catalog could not satisfy the query's constraints, so the rows are approximate. parsed.no_match — no product satisfies a hard constraint, and candidates violating it were excluded server-side. On a miss or near-miss for a specific brand+model the response may also carry a `tier3` block: a real-time lookup for the exact SKU asked about, which can appear alongside fuzzy-neighbour rows. • tier3.status = "resolved" — a single-source reading of the page at tier3.source_url, MPN-confirmed but not AirShelf-verified (tier3.verification is "live-unverified"). tier3.cached = true means it came from a recent prior lookup, with fetched_at recording when the page was read. • tier3.status = "abstain" — the lookup could not confirm the product exists as asked, so no specs, price, or availability were established. tier3.guidance describes the quote-request path. No tier3 block on a miss means the lookup did not run (disabled, rate-limited, or no parseable product identity in the query). Optional `market` (ISO 3166-1 alpha-2, e.g. "TH") biases the t…

NameTypeReqDescription
categorystringOptional category filter (e.g. laser-printer, skincare, mechanical-keyboards)
limitintegerMax results
marketstringBuyer market as ISO 3166-1 alpha-2 country code (e.g. "TH", "AU"). Biases the tier3 live lookup toward that market and scopes its cache. Pass whenever the buyer's location is known.
qstringyesNatural-language query. Supports budget hints (e.g. "under $150").
specsobjectHard spec facets, e.g. {"form_factor":"desktop","print_speed_ppm":33}. Filters by exact/range spec match.
NameTypeReqDescription
countnumber
parsedobject
querystring
resultsarrayyes
tier3object
took_msnumber

No examples provided.