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520,054 tools. Updated 2026-09-06 08:15

"Shopify" matching MCP tools:

  • Confirm a site runs on Shopify and pull store intelligence from its public feeds — product count, price range, top vendors/categories, newest listing and a rough revenue-band heuristic. No login, no Shopify API key. — $0.01/call, x402 (USDC on base).
    ConnectorNo auth
  • Confirm a site runs on Shopify and pull store intelligence from its public feeds — product count, price range, top vendors/categories, newest listing and a rough revenue-band heuristic. No login, no Shopify API key. — $0.01/call, x402 (USDC on base).
    ConnectorNo auth
  • Watches a Shopify store's catalogue and returns only the products whose price or availability changed since the previous check. The first run creates the baseline and says so. — $0.05/call, x402 (USDC on base).
    ConnectorNo auth
  • "What's new with X" / "latest on Y" / "what happened to Z this week / month / quarter" / "updates on Acme" / "news on Tesla recently" / "what's happening with Apple" — change feed for a company in the last N days/weeks/months in ONE parallel call. Fans out to SEC EDGAR (filings since `since`), GDELT→GNews fallback (news mentions in window — GDELT preferred, GNews when rate-limited or 5xx), USPTO (patents granted; PatentsView API sunset May 2025 so this soft-fails until reactivated). `since` accepts ISO date ("2026-04-01") or relative shorthand ("7d", "30d", "3m", "1y"). Returns structured changes[] grouped by source + total_changes count + pipeworx:// citation URIs. Use entity_profile instead when you want the static profile (filings + fundamentals + LEI + patents) regardless of window.
    ConnectorNo auth

Matching MCP Servers

  • A
    license
    A
    quality
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    maintenance
    Enables AI agents to read and write Shopify store data including products, orders, customers, inventory, and more via the Admin GraphQL API.
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    MIT

Matching MCP Connectors

  • Shopify MCP Pack — wraps the Shopify Admin REST API (2024-01)

  • Manage products, orders, customers, inventory, and store configuration

  • 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.
    ConnectorNo auth
  • Realizable-vs-theoretical edge check against live CLOB order-book depth. REQUIRES one of `market` (single-market mode) or `event` (basket/partition mode). SINGLE-MARKET: pass a market slug/URL + side (buy_yes|sell_yes|buy_no|sell_no, default buy_yes) + size_usd (default 1000 — max spend on buys, target proceeds on sells); walks the ladder and returns top_of_book, vwap_fill_price, slippage_pp, shares_filled, max_fillable_usd, and a verdict (clean|degraded|cannot_fill). BASKET: pass an event slug/URL + side (sell_yes = capture overround by selling every leg, buy_yes = capture underround; default auto from partition sum) + size_usd interpreted as settlement notional S (shares per leg; each share pays $1); returns theoretical_sum vs realizable_sum (top-of-book vs VWAP across all legs), capture_ratio, profit_usd at executed size, per-leg fill detail, thin_legs[], max_clean_notional_usd, and forced_directional_risk naming the legs most likely to strand you unhedged. USE THIS before acting on any polymarket_arbitrage SELL/BUY-EVERY-LEG signal or any polymarket_edges trade above ~$500 — theoretical overround on thin books is not capturable, and partial basket fills convert an arb into an unhedged directional position (the dominant loss mode in real arb-bot P&L).
    ConnectorNo auth
  • Forward a buyer request-for-quote or engineering question to the Commonlands engineering team. Two-step, buyer-confirmed: the first call returns a preview and sends nothing; show the buyer the preview (including their reply-to email) and, only after they explicitly approve, call again with confirm: true to send. The recipient is fixed to the Commonlands inbox (the agent cannot choose it); this only sends an inquiry and never creates an order, charges a card, or writes Shopify/customer data. Include part numbers, sensor, quantity, and application when known so the team can reply with a quote. Commonlands replies by email.
    ConnectorNo auth
  • Validate a metafield namespace and key before you define it. FREE. Shopify metafield namespaces and keys are lowercase alphanumerics and underscores; a capital letter or a dash is rejected at definition time, usually after the rest of the import has already run. Typical input {"namespace": "custom", "key": "Care-Instructions"} returns {"ok": false, "problems": ["key: dashes and capitals are not allowed"], "suggested_key": "care_instructions"}. Use when designing metafields. Not for the CSV column that carries them — that is product_csv_check. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"}. Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
    ConnectorNo auth
  • Search the Vivid Ads catalogue by product name, category, or intended use (e.g. 'corflute', 'pull up banner', 'expo', 'shopfront'). Returns matching products grounded in Vivid's own Shopify collections, so it also surfaces same-range, same-purpose alternatives — products flagged `sameRange:true` come from the top match's curated collection (returned as `collection`). ALWAYS mention these to the customer (e.g. 'we have two Pull Up Banner options, and Fabric Banner Stands do the same job'). Treat a from-price as INDICATIVE only — use vivid_product for options then vivid_price for the exact configuration.
    ConnectorNo auth
  • Reset connector auth state for the current user. Use when tokens are stale, missing scopes, tied to the wrong account/workspace, or repeatedly failing auth. For credential-based connectors, this clears the saved credentials so the user can re-enter them. Input: connector_id (required). Supported values: google_workspace, microsoft, dropbox, shopify, shopline, quickbooks, hubspot, slack, ebay, facebook_marketing, tiktok, klaviyo, calendly, activecampaign, odoo, constantcontact, airtable, gohighlevel, monday, semrush, ahrefs, posthog, stripe, gunbroker.
    Connector
    Destructive
    No auth
  • ACCOUNT REQUIRED (free — sign in via GitHub at https://pipeworx.io/signup; depth:"thorough" needs a paid plan). If you are not signed in, use ask_pipeworx instead — it works on every tier. Grounded multi-source research across Pipeworx's 1517 STRUCTURED data sources (SEC filings, FRED/BLS economics, FDA, USPTO patents, markets, science, government records, etc.) in ONE call — this is NOT open-web search. Decomposes your question into focused facets, routes each to the right one of 5,798 tools IN PARALLEL, and returns a findings packet: verbatim evidence + confidence + source + fetched_at + a stable pipeworx:// citation per finding, with explicit gaps[] for facets the data couldn't answer (never invented). Best for broad/multi-part questions over structured data ("compare X and Y's regulatory + financial exposure", "research the filings + market picture for ACME"). For a single lookup use ask_pipeworx (one LLM call, not many). For BREAKING or colloquial CURRENT-NEWS / "what's the world saying about X" topics, prefer ask_pipeworx — it routes to live news APIs and the *-news-feeds packs; deep_research returns mostly empty gaps[] when the topic isn't in the structured catalog. Second-hop iteration: depth:"standard" re-angles unanswered gaps (gap recovery); depth:"thorough" additionally chases the best leads from the first pass — so multi-step questions resolve in one call. Every finding carries a `hop` field and a citation_uri — a resolvable pipeworx:// record URI, present only when the source emits one that resources/read can actually serve, so a citation you get back is always fetchable. "standard" and "thorough" also return contradictions[] flagging findings that disagree. Large records are semantically excerpted to the passages relevant to each facet (not head-truncated), so answers deep in a long filing/series aren't missed. Expect 15-60s (thorough with its follow-up + contradiction pass: up to ~90s).
    ConnectorNo auth
  • Composite "should I add this npm package to my project" check in ONE call — fans out across deps.dev (license + advisories + version history) and bundlephobia (gzipped/minified bundle size, dependency count, ESM/tree-shake support). Use whenever an agent asks "is X safe / popular / small" or "what does adding lodash cost me". Returns a summary block (is_latest, license, published_at, advisory_count, bundle_kb_min, bundle_kb_gz, dependency_count, has_esm, tree_shakeable), per-advisory detail, links, and a list of recent alternative versions. NPM ecosystem only in v1; PyPI / Maven / Cargo / Go fall under deps.dev:version directly. Partial failures degrade gracefully — bundlephobia's first measurement on a new version can take 5-30s; sources_failed will list it if it times out, the rest still returns.
    ConnectorNo auth
  • Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.
    ConnectorNo auth
  • List upcoming seller-facing deadlines on Amazon, Shopify and/or TikTok Shop, soonest first. Use for "any Amazon deadlines coming up", "what do TikTok Shop sellers need to do before month end". Deadlines come from curated official announcements (API sunsets, policy compliance dates, fee effective dates); past deadlines are excluded server-side. Free-form deadlines ("rolling") sort after dated ones. Args: platform: Optional platform slug — amazon, shopify or tiktok-shop. Empty = all platforms. Returns {generated_at, as_of, platforms, total, deadlines:[{id, platform, deadline, title, summary, effectiveAt, originalUrl, ...}]}. `as_of` is the server-side cutoff date used. Cite each record's originalUrl.
    ConnectorNo auth
  • Overwrite one existing file (Liquid/CSS/JS/JSON) on the LIVE (MAIN) Shopify theme — buyers render the change immediately. Approval-tier with expected_updated_at lock from get_shopify_theme_asset: refuses if the file changed since review, refuses unpublished themes (those use upsert_shopify_theme_file), and refuses creating a new live file. Use when the operator approves a single-file live-theme fix. Swapping the entire storefront is publish_shopify_theme. Routing: Shopify: overwrite one LIVE theme source file — approval-tier, lock-checked [outbound-tier — EVERY call needs a manager's approval (per-send human rail): each request queues its own approval card and sends exactly once on approve. There is no standing grant for this tool.]
    ConnectorNo auth
  • Calculates total landed cost per unit for a Shopify merchant importing goods. Applies 2026 regulatory surcharges (US Section 122 +10%, EU de minimis €3/item), incoterm responsibility adjustments (EXW/FOB/DDP), CIF insurance, duty and brokerage, and financial carry cost over lead time. Returns unitLandedCost, costUpliftRatio, marginErosionPct (only when unitSellingPrice is provided), full cost breakdown by layer, sensitivity drivers, risk warnings, and recommended actions. Pass baseDutyRate as a decimal (e.g. 0.12 for 12%) — surcharges are applied automatically.
    ConnectorNo auth
  • Low-friction inventory health estimate for Shopify merchants. Use this when the merchant doesn't have precise inventory figures — requires only monthly revenue, SKU count, and industry segment. Inventory value and dead stock are estimated from industry benchmarks; all assumptions are returned transparently. Returns a 0–100 health score, risk flags, plain-language diagnosis, and prioritised recommended actions. Ideal for AI-assisted lead qualification and first-contact diagnostics. For a precise score using actual inventory figures, use inventory_health_score instead.
    ConnectorNo auth
  • [MARKETING] Run (or fetch the cached) Agent Readiness Report for a brand's OWN store website (their Shopify or other storefront, NOT their RRG page). Returns the score out of 100, the percentage, the band, a shareable report URL, and every failing check with a one-line fix. Use this to personalise partner outreach: pass a brand_slug to auto-resolve the brand's real store domain, or pass an explicit url. Results cache for 24h, so repeat calls are instant.
    ConnectorNo auth
  • 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.
    ConnectorNo auth