AirShelf Catalog

ai.airshelf由 airshelf.ai 发布官方发布者v1.0.0更新于 Oct 24, 2026

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

已验证Streamable HTTP可网页运行网页搜索与抓取商业与电商

概览

AI 生成的概览

一个远程 B2B 产品目录,让助手搜索、比较和研究工业及办公产品,并向商家发送报价请求。

可以做什么
按自然语言查询搜索跨厂商目录,并列出有 slug 和产品数量的公开商家。为买家需求寻找候选产品,仅在目录无匹配时才使用实时网络发现,并可运行较长的后台研究任务,按研究 ID 轮询结果。读取单个产品的已验证记录、规格、来源和最新价格,并按数据表规格并排比较 2 到 10 个产品。解释目录条目的证据,包括来源覆盖情况和文档哈希。代表指定买家向商家销售团队发送目录产品的报价请求。
适用场景
适合助手协助 B2B 采购时使用:为明确需求寻找候选产品、核对已验证的规格与价格、比较入围型号,或向商家发起报价请求。
运行要求
远程 streamable HTTP 端点;未声明软件包、环境变量或请求头。未声明身份验证。报价流程需要买家联系邮箱,研究任务需轮询至完成。
安装前请注意
request_quote 会代表指定买家向商家销售团队发送报价请求,并向所填联系邮箱发送确认链接;在确认链接前不会发送任何内容。研究任务需运行数分钟并轮询。产品信息和价格来自第三方来源,依赖前请核实。

安装

在 SourceWeft 中

  1. 打开 控制台中的 AirShelf Catalog,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/ai.airshelf%2Fcatalog/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "airshelf-catalog": {
      "type": "http",
      "url": "https://mcp.airshelf.ai/mcp"
    }
  }
}

工具

8

search_catalog

Search product catalog

Search the AirShelf cross-vendor product catalog by natural-language query. The catalog covers industrial-automation, wiring-devices, digital-signage, business-display, memory-storage, mfp, barcode-printer, laser-printer, inkjet-printer, mechanical-keyboards, cybersecurity, threat-intelligence-platform. Industrial-automation and wiring-device rows are indexed by manufacturer part number, so a brand or part number in the query ("Pepperl+Fuchs retroreflective sensor", "IN5409") retrieves more reliably than a bare product type; those rows carry no normalized spec facets, so the `specs` filter does not apply to them. Returns ranked products with prices, specs, and per-row match accounting. Each row includes `unverified_specs`, the normalized spec names that lack claim-level receipts; never use those as decisive facts. Example queries: "tactile mechanical keyboard under $150", "Toshiba A3 colour multifunction device", "industrial barcode printer for a warehouse", "threat-intelligence platform with dark-web monitoring". Result fields: • canonical_name — the exact catalog name of the product. • spec_absence_note — spec fields absent from this product's golden record (AirShelf's verified product record); null when nothing is missing. • constraint_match_score and matched_criteria — query constraints supported by claim-level receipts. unverified_criteria names matching catalog values that still need confirmation; missing_criteria names values that are absent or conflict. • parsed.price_availability — all_null = true means every returned price is null. For quote-gated B2B pricing, a null price with a quote path is expected rather than an error; query_had_budget reports whether the query carried one. • result.commercial_data — branch on actionable before using price or stock. Observations older than 24 hours are withheld from result.price/result.inStock and retained only as labelled last_observed history. • parsed.weak_match — the response contains an unresolved constraint, qu

输入参数q必填limitspecsmarketcategorymerchant

find_products

Discover and verify products for a need

Discover candidate products for a buyer need. Takes a need in natural language (e.g. "best value home espresso machine", market "TH"), checks the verified catalog first, then uses live web discovery only when the catalog has no candidates. Returns up to 3 candidates with explicit fit accounting. find_products is the quick candidate-list tool; research_shopping is the full verified-research job. For a specific brand+model, search_catalog is cheaper and returns the same live-lookup block on a miss. Response fields: • candidates[].verification — "catalog-candidate" for a catalog starting point whose fit still needs checking, or "live-unverified" for a live page read during this run. • candidates[].status — "resolved" means both identity and the parsed buyer constraints were supported by the cited page; "abstain" means identity or need fit could not be established. Inspect constraint_check for matched, conflicting, and unverified requirements. • candidates[].constraint_check.receipts maps each receipt-backed matched requirement to its supporting source URL and trust label. • 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 — "no_match" means discovery ran but no candidate was confirmed as satisfying the need; "disabled", "rate_limited", or "unavailable" means no discovery ran. • live_discovery.status="unavailable" means receipted catalog candidates were returned while live discovery was unavailable. Optional `market` (ISO 3166-1 alpha-2) biases discovery and marketplace checks toward seller pages serving that country and scopes the lookup cache. "Available in <market>" means the seller page serves that market, not that stock is guaranteed.

输入参数maxneed必填market

research_shopping

Research a considered purchase

research_shopping is the full verified-research job; find_products is the quick candidate-list tool. It runs as a background job and returns status "running" with a research ID while the minutes-long research continues; the same research ID returns the run on later polls until completion. Unsafe medical, legal, financial-advice, and professional-service asks return status "refused" before any work is queued. Completed runs return a researched recommendation with per-claim source receipts, or an explicit refusal when evidence is insufficient. Missing decision details return clarification questions before research starts. `market` biases discovery and marketplace checks toward seller pages serving that country; "available in <market>" means the seller page serves that market, not that stock is guaranteed. Example answer keys include {"budget":"500 USD","market":"US","category":"espresso machine"}.

输入参数needmarketanswerspersonaresearch_id

get_product

Get product details

Get the full golden record (AirShelf's verified product record) and latest price for one catalog product by slug ("<manufacturer>-<model>"). Returns the product's specs and provenance (which page each fact came from), plus canonical_name (its exact catalog name). A field's evidence_sha256 is the SHA-256 of the source document AirShelf archived when it extracted that claim. A caller holding the same bytes can compare the hash to check that the cited document has not changed. AirShelf does not serve those archived bytes, and the hash does not promise they remain retrievable. Branch on commercial_data.actionable before using price or stock: observations older than 24 hours are withheld from latestPrice and retained only as labelled last_observed history. For quote-gated B2B pricing, a null price with a quote path is expected rather than an error. In clients that render MCP Apps the response also draws one product card per call. related_products — relationships extracted from vendor documents (e.g. compatible toner or drum accessories with their source quotes, functional equivalents, supersessions); each entry names the related catalog slug, the relation type, its direction (direction is "from_this" when the relation reads this-product → related-product, "to_this" when it reads related-product → this-product), and the source URL and quote the relation was extracted from.

输入参数slug必填

compare_products

Compare products

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, AirShelf's verified product record). Branch on each item's commercial_data.actionable before using price or stock; stale observations are withheld from action fields. A slug that does not resolve comes back as not_found with a did_you_mean suggestion. The `provenance` option adds the source page and source type already stored with each fact.

输入参数slugs必填provenance

explain_product

Explain how a record was built

Explain the evidence behind a catalog row. Returns stored processing stages when available and always returns a golden-record field summary with source coverage. A field's evidence_sha256 is the SHA-256 of the source document AirShelf archived when it extracted that claim. A caller holding the same bytes can compare the hash to check that the cited document has not changed. AirShelf does not serve those archived bytes, and the hash does not promise they remain retrievable. record.scraped_at is the catalog row's scrape time, not a per-claim evidence capture time.

输入参数slug必填

list_merchants

List merchants

List public AirShelf merchants that have an assigned slug and at least one active product. Internal/demo and empty catalogs are excluded. Returns each merchant's name, slug, and product count; the slug is the `merchant` argument for request_quote.

无需输入参数。

request_quote

Request a quote from a merchant

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"; no lead exists and no merchant is contacted until the buyer confirms. A later call with the same arguments reports "awaiting_confirmation" while the email is unconfirmed, or "received" with a reference_number after confirmation. Merchant slugs come from list_merchants. Network-catalog brands that are absent from that list use merchant:"airshelf-network" with brandSlug:"<manufacturer-slug>"; AirShelf routes the confirmed request to that brand.

输入参数notescontact必填merchant必填productsquantitybrandSlugreference

版本历史

1
  1. v1.0.0最新Sep 16, 2026

评分

已满足适用检查项的 72%

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