com.openshopgraph/mcp

OpenShopGraph

Open, verified shop database for AI agents: products, offers, price comparison, trust and coupons.

0.1.1
Version
remote
Transport
8
Tools

Security review

Review passed

Reviewed 1d ago.

  • tools: 8 tools scanned
  • metadata: scanned

No findings.

Tools (8)

  • find_shop

    Search merchants/shops by free-text query (name or domain fragment), optionally filtered by country (ISO 3166-1 alpha-2, e.g. "DE") and/or by an EXACT category slug. Returns the public shop view only — shops still under internal review are never returned. `results` carries at most `limit` entries (default 50, max 100); `total_count` is the full match count before that cap and `truncated` is true when more results exist beyond this page — raise `offset` (default 0) to page through them. Multi-word queries are matched conjunctively: every word must be evidenced on a shop (name, domain or category). `ignored_terms` lists the words that matched nothing anywhere in the corpus and were therefore dropped to avoid an empty answer — a non-empty `ignored_terms` means the results answer a NARROWER question than you asked, so do not present them as satisfying those words. `category_truncated` is true when category resolution hit its internal cap and the match set is a subset. `category`, if given,

  • list_categories

    Enumerate the shop category taxonomy: every category slug currently carried by at least one public shop, together with how many public shops carry it. Call this BEFORE passing `category` to find_shop — the taxonomy is flat (no parent/child hierarchy, e.g. "fashion" and "womens-clothing" are siblings, not nested) and its slugs come from observed data, not a fixed enum baked into this tool, so a slug cannot be reliably guessed. `find_shop(category: <slug>)` only accepts a slug returned here; giving it anything else fails with an error instead of silently returning no results. Coverage measured 2026-09-03: 171 slugs across 3036 of 3100 active shops (97.9%) — a shop can carry more than one category, so counts do not sum to the total shop count.

  • get_shop

    Fetch a single merchant/shop by id or domain (public view). Returns "shop not found" for shops still under internal review, identical to a genuinely unknown domain — reviewers cannot be distinguished from typos. The offers array is present for schema stability but empty until merchant offers are ingested (Offer table measured empty on 2026-07-30).

  • list_coupons

    List currently USABLE discount codes/coupons, optionally filtered by shop_domain (e.g. "otto.de"). A code is withheld from `results` when it is EXPIRED (valid_until has passed), when a real checkout test PROVED it does not work (verification_status "verified_rejected"), or when a display policy suppresses it on this channel/country. Nothing is withheld silently: `total_count` is the REAL number of codes the query found before any of that (for the collection list the full count over everything, never just the window), `examined` is how many codes this call looked at, and `withheld` breaks the difference down by reason ({expired, verified_rejected, reserved_test_domain, policy}) — examined minus results.length always equals the sum of `withheld`, and `note` states the same balance in one sentence. WITHOUT shop_domain the call returns one window of at most `limit` codes (default 100, max 100) starting at `offset` (default 0), ordered by a stable id: `truncated` is true when more codes lie

  • get_shipping_policy

    What a shop STATES about its own shipping: which destinations it names, the delivery time it claims, and any free-shipping threshold — plus the date that statement was last checked and where it was read (policy_page or structured_data). This is a shop-level statement, NOT an offer and NOT a quote: it carries no carrier and no shipping price, because OpenShopGraph does not hold that data. Pass country (ISO 3166-1 alpha-2, e.g. "DE") to get a ships_to verdict derived from the stated destination list — "unknown" is a real answer there and means the statement does not settle it. When nothing has been collected for a shop, the reply says so explicitly (collected:false): that is a gap in the data, not a statement that the shop does not ship. Relaying the checked-at date alongside any figure keeps a stale merchant claim from being read as a current fact.

  • get_trust

    Trust-relevant facts OpenShopGraph itself measured about one merchant/shop (by id or domain): TLS certificate issuer and grade, hosting ISP and country, domain registration date, registrar, and accepted payment methods. Returns INDIVIDUAL signals, never an aggregate: every entry carries its own value, `source` (where OpenShopGraph observed it) and `checked_at` (when). There is deliberately no score, rating, percentage or star value — not even an internally computed one; you are given the raw evidence and judge for yourself. A field with no source or no check timestamp is omitted entirely rather than shipped with a null placeholder. If nothing was measured, the answer is status "no_signals_collected" with an empty list — that means NOTHING IS KNOWN, it is not a score of zero and not a negative verdict. Unknown domains, shops under internal review and measured-but-empty shops are intentionally indistinguishable here. `signal_coverage` describes data completeness, not merchant trustworthi

  • report_code

    Record that a specific shop_domain + code (coupon) pair is wrong in one of four fixed, documented ways (invalid | mismatch | item_restricted | min_order_missing — see reasons enum; no free text anywhere). This is a write: it appends one new report row and NEVER changes the delivered coupon directly — it never deletes or overwrites data, and it does not itself decide anything. Subject to per-source dedup it only queues a re-check (RecheckQueueEntry); only a separate Pruefurteil process may later change what list_coupons returns. Reply is a status text ('wird gemeldet, Pruefung laeuft'), never a verdict.

  • report_issue

    Record a shop-level or data-fact issue as one fixed, documented reason (no free text). subject_type "shop": unreachable | no_longer_exists | info_outdated | wrong_category | wrong_name_or_domain. subject_type "fact": shipping_cost | return_period | payment_methods | evidence_broken. Same write semantics as report_code: appends one report row, never changes delivered data directly, only queues a re-check subject to per-source dedup.