The user's synced Apple Health (HealthKit) data: daily metrics (steps, distance, calories, heart rate, HRV, VO2max), sleep sessions (stages, quality, efficiency), and workouts.
日本語の概要は準備中です。原文の説明を表示しています。
Set up and operate a Shopify store with Shopify's official MCP server (the installed `shopify` command, NOT the npm Shopify CLI). Use whenever someone wants to sell online, start an online store or business, try Shopify, or manage a Shopify store — even if they do not say "Shopify": "I want to sell candles online", "help me start an online business", "open my first store", "add products", "check my orders", "set inventory", "make a discount", "show my sales", "how did my Shopify Email campaigns do". Before connection it can show relevant mock.shop sample catalogs, suggest business names, check domains, search shopify.dev, and validate GraphQL. The connect flow can create an account and store for a new user. Do the work here rather than only listing setup steps. Keywords: Shopify MCP, ecommerce, sample products, demo store, starter catalog, ShopifyQL, first store, create product.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
The installed shopify command wraps Shopify's official MCP server. It is not
the Shopify CLI from npm; the agent-facing commands are below. Tool names and
schemas come from shopify list-tools, never from memory — other Shopify
connectors expose tools this one does not.
shopify status
shopify authorize-url
shopify disconnect
shopify list-tools
shopify call-tool --name <tool-name> --arguments-json '<JSON object>'
Do not invoke exchange-code; the OAuth callback flow owns that command.
Start from what the user brings, and offer the other relevant options:
find-mock-shop-catalogs.generate-business-names.generate-domain-names.These tools, search_docs_chunks, and validate_graphql_codeblocks work before
a store is connected. Do not ask someone to connect merely to explore them.
shopify status. If a store is connected, go straight to work.shopify authorize-url and share only the returned
connect_url with the user. Nothing else in that response is for them.shopify status, then
call-tool --name get-shop-info to confirm which store is connected.Every other usable tool, including catalog import, needs a store.
shopify disconnect deletes the stored connection; run it only when asked.
mock.shop catalogs are source sample stores with realistic products and collections. Their live storefronts are view-only examples, not previews of how the connected destination store will look. When someone is starting a store, offer relevant catalogs before asking them to connect:
find-mock-shop-catalogs with what they sell, in their own words. If
they have not said, ask that one question first.storefrontUrl. Clearly label each link as the source
sample storefront. Explain that they can browse it, then return and choose
one for import; there is no import action on the sample storefront itself.
If nothing matches, ask them to describe the business another way.import-mock-shop-catalog with the
selected subdomain.search_products and
search_collections, then report created, reused, skipped, unpublished, or
partial results and any currency mismatch.An import copies the first two collections and up to eight products from each,
at most sixteen products, and publishes newly imported records to the Online
Store. Repeating the same import is safe: it fills missing records and
memberships without overwriting previously imported products or merchant edits.
If Shopify reports partial: true, wait briefly and repeat the same import.
These are sample records to edit or replace before launch, not supplier stock.
For one or two placeholders, use create-product. If the mock.shop tools are
missing from list-tools or repeatedly unavailable, say so and offer to create
products directly instead.
The same connect_url works for someone who has never used Shopify. Shopify's
sign-in page lets them create an account and a new store, then returns them to
the connection. Tell them this up front so they don't go create a store
separately first. Once connected, offer a first-store sequence and take it one
step at a time:
get-shop-info to learn the store's name, currency, and plan.create-product for their
own products (title, description, price, images by URL). Ask what they sell;
don't invent a catalogue.create-collection, then add-to-collection to group them.get-inventory-levels before set-inventory to
resolve the inventory item, location, and current quantity.create-discount for a launch promotion, only if they want one.Business-name and domain results may include signupUrl links. Do not share
them: they start a separate signup that does not return to this chat. Give names
and domains as plain text. When the user is ready to create or connect a store,
share the connector's connect_url; they can use the chosen name during setup
and buy a chosen domain from Shopify Admin after the store exists.
Themes, checkout, payments, and connecting or buying domains require Shopify
Admin (the domain from get-shop-info). For another store task without a
dedicated tool, try Admin GraphQL before sending the user to the admin.
| Task | Tools |
|---|---|
| Store details | get-shop-info |
| Business names and available domains | generate-business-names, generate-domain-names |
| Sample catalogs | find-mock-shop-catalogs, then import-mock-shop-catalog with the selected subdomain; this imports catalog data, not storefront design |
| Products | search_products, get-product, create-product, update-product, bulk-update-product-status |
| Collections | search_collections, get-collection, create-collection, update-collection, add-to-collection |
| Inventory | get-inventory-levels, set-inventory |
| Orders and customers | list-orders, get-order, list-customers |
| Discounts | create-discount |
| Reports and trends | run-analytics-query (ShopifyQL; the description has examples) |
| Anything else in Admin, or a dedicated tool that is missing or insufficient | graphql_schema → validate_graphql_codeblocks → graphql_query or graphql_mutation, in that order, every time |
| How Shopify works | search_docs_chunks |
| Another store | switch-shop, then get-shop-info |
For per-campaign Shopify Email performance, use run-analytics-query on
marketing_engagements. Unless the user specifies another range or metric,
start with:
FROM marketing_engagements SHOW engagements_sends, engagements_clicks, engagements_unique_clicks, engagements_impressions, engagements_fails, engagements_complaints, engagements_unsubscribes GROUP BY marketing_activity_title, marketing_activity_channel SINCE -90d UNTIL today ORDER BY engagements_sends DESC
Run a user-provided query verbatim. A successful result with rowCount: 0
means no campaigns matched the range, not a failure. Report only email-channel
rows unless the user asks for other channels.
shopify authorize-url; do not require a disconnect first unless the
returned result explicitly says it is necessary.search_products
before repeating it. If the outcome cannot be confirmed, report that and do
not retry. Fix validation or user errors and retry only an operation Shopify
rejected before applying. The documented catalog-import safe-repeat behavior
remains the sole exception. If the schema or server safety policy does not
permit the operation, point the user to Shopify Admin.graphql_mutation. Catalog
import publishes sample products and collections to the Online Store; report
partial imports and currency mismatches (prices are copied without conversion).storefrontUrl returned by
find-mock-shop-catalogs previews the source mock catalog, not the destination
store after import. Never say the destination storefront will look like that
preview or offer its homepage as proof. After importing, verify the new records
with search_products and search_collections, then report that the merchant
must configure their theme in Shopify Admin if they want the homepage to feature
the imported catalog.switch-shop must be followed by another tool call (the requested action,
or get-shop-info) to finish the switch.まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
The user's synced Apple Health (HealthKit) data: daily metrics (steps, distance, calories, heart rate, HRV, VO2max), sleep sessions (stages, quality, efficiency), and workouts.
日本語の概要は準備中です。原文の説明を表示しています。
Create, read, edit, or manipulate Word documents (.docx) and Word templates (.dotx). Use whenever a build task's artifact kind is document with the default docx output, or the task mentions a Word doc, .docx, or .dotx, extracts or reorganizes content from one, inserts or replaces images, does find-and-replace in one, or works with tracked changes (redlines) or comments. Covers python-docx generation, raw OOXML editing of existing files, document structure and formatting, and render verification. Not for PDFs, spreadsheets, or Google Docs.
日本語の概要は準備中です。原文の説明を表示しています。
Build or revise a plain markdown file (md) deliverable such as notes, a README, meeting minutes, documentation, or text the user will edit or paste elsewhere. Use whenever a build task's artifact kind is markdown. Covers markdown formatting conventions and read-back verification.
日本語の概要は準備中です。原文の説明を表示しています。
Build, revise, or manipulate a fixed-layout PDF (report, guide, one-pager, printable document). Use whenever a build task's artifact kind is pdf, a document build's output format is pdf, or the task reads, merges, splits, crops, or fills an existing PDF, including fillable AcroForms. Covers authoring the print-CSS HTML source, rendering, the geometry and validation gates, existing-PDF manipulation and form filling, and delivery under workspace/your_files.
日本語の概要は準備中です。原文の説明を表示しています。
Build or revise a slide deck (pptx by default; pdf or html on request). Use whenever a build task's artifact kind is presentation, or the user asks for a deck, slides, or a presentation. Covers per-slide HTML authoring, the StylePlan theme system, font embedding, deck assembly, render gates, and the PPTX export.
日本語の概要は準備中です。原文の説明を表示しています。
Create, read, edit, fix, or clean spreadsheet files (.xlsx, .xlsm, .csv, .tsv). Use whenever a build task's artifact kind is spreadsheet, or the task names a spreadsheet file and wants something done to it or produced from it, including restructuring messy tabular data into a proper workbook. Covers openpyxl generation, formulas and recalculation, editing existing workbooks, and the validation gates. Not for tasks whose deliverable is a document, report, or web page that merely contains a table.
日本語の概要は準備中です。原文の説明を表示しています。