Shopping & Commerce
Ask AI
Ask questions about your e-commerce business across Shopify, Klaviyo, GA4 and other platforms in plain English
Connects to Shopify, Klaviyo, Google Analytics, Triple Whale, and 15+ other e-commerce platforms. Lets you ask about revenue drivers, sales trends, customer behavior, inventory, marketing performance, and product health without writing queries or stitching data manually.
Try asking Muse: "Why did my revenue drop this week compared to last week?"
Working now?
Working
Worked last 7 days
100% of checks
How to get it
Extra setup
Account
No account needed
Price
Not stated
Source: Found in the official MCP Registry (com.ask-ai-data-connector/ask-ai) · First listed September 24, 2026
Last 24 hours
Each bar is one check, every 15 minutes. Green means it answered. Last checked 2 h ago.
Is it safe to connect?
What Muse can see: It does not ask you to sign in, so it cannot see your accounts. It only sees what Muse sends it from your request.
Before it acts: Read what Muse plans to do before you approve it, and remove the app from Muse when you stop using it.
musedirectory.ai is not part of Meta. More about how Muse handles your information
How to add it to Muse
Not in Muse's Connectors list yet, but Muse can still use it. Copy the request below and paste it into Muse. Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.
https://ask-ai-data-connector.com/mcpNot in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
Technical details: safety screening, tools, response time and recent checks
Response time at the last check: 748ms. Worked in 100% of checks over 30 days.
Screening · September 24, 2026
Screened, no issues found
MCP handshake
Pass
Answered in 185ms
Domain against threat feeds (Cloudflare security DNS)
Pass
ask-ai-data-connector.com not flagged
Published packages against the OSV malicious-package database
n/a
No npm or PyPI package published
Hidden instructions or invisible characters in tool text
Look
get_connector_data: Unusually long tool description; get_analytics: Unusually long tool description
Inputs asking for passwords, card numbers or seed phrases
Pass
None found
Domain and redirects
Pass
No redirects off the domain
AI review of purpose and tool behavior
Pass
No concerns
Screening looks for known threats and hidden instructions at the time of the check, and runs again weekly and whenever the tool list changes. It cannot see the server's code, so only connect what you need and review what Muse asks to do. How screening works.
Tools · 40
get_revenue_driversDiagnostic tool for 'why did revenue change?' questions. Bundles headline metric deltas, product mix shifts, and pre-generated ranked hypotheses into one call — so you don't have to stitch signals together yourself and risk asserting causation. Each hypothesis includes: what signget_anomaliesAnomaly detection across revenue, conversion rate, and refund rate for each of your stores (works for a single store too). Compares the most recent 7-day window against the prior 4 weeks and flags moves outside +/- 1.5 standard deviations or 25% — whichever is stricter. Returns rget_sync_healthReport the health of every connected data source for each of your stores (works for a single store too). For each provider/instance: last successful sync timestamp, record count, freshness flag (stale if > 36h), and key-field nullability rates (e.g. % of customers without firstOrget_data_sourcesCALL THIS FIRST to see which data sources are connected and have data. Returns connection status and record counts for: Shopify (always connected), Triple Whale, Klaviyo, Gorgias, Recharge, Google Search Console, Google Analytics, Microsoft Clarity, and YouTube. Use this to underget_complete_dashboardGet a unified dashboard with key metrics from ALL connected data sources in one call. Returns a lean snapshot of revenue, traffic, marketing, email, organic search, UX, support, reviews, subscriptions, and loyalty — only for sources that are connected. Use this for 'Give me an ovget_metrics_comparisonBEST FOR COMPARISONS AND THE CANONICAL CONVERSION RATE: Get core e-commerce metrics (Revenue, Sessions, CVR, AOV, Revenue per Session) with period-over-period comparisons. CVR here uses Shopify TrafficStat sessions (Plus/Advanced) — or GA4 sessions as fallback — divided by REAL Sget_metrics_multi_compareGet metrics with MULTIPLE comparisons at once. Perfect for questions like 'Show me revenue WoW and YoY' or 'Compare this week to last week and same week last year'. Returns { period, metrics, comparisons, charts, presentation }. `charts` is an array of grouped-bar specs (one per get_yoy_monthlyMonth-by-month year-over-year comparison for a single metric. SINGLE-CALL ANSWER for 'how is revenue this year vs last year by month?' / 'show me 2026 vs 2025 monthly trends'. Returns { metric, currentYear, compareYear, rows, totals, charts, presentation, seeAlso }. `rows` is oneget_forecastForecast a metric — answers 'what should I expect?' / 'are we on track this month?' / 'project next month'. Returns a per-store `stores` array (each in its OWN currency — never summed across currencies). Each store has: `currentMonth` (month-to-date actual + projected month-end wsave_targetStore a merchant's GOAL for a metric over a calendar period ('we need £80k this month'). TRIGGER: whenever the user states a target/goal/budget for a metric. This saves the merchant's own target in our DB (NOT a write-back to any connected tool). Pacing (are we on track?) is compget_targetsList the merchant's active targets with LIVE actual-vs-target pacing, recomputed from ground truth on every call (never stored). Each target returns a `pacing` block: status (ahead / on_track / at_risk / behind / too_early / not_paceable), actualToDate, projected month-end with iget_daily_metricsGet daily/period numbers from one of three domains — pass `domain` to pick which, `report` to pick the report within it. `report:"daily"` exists in ALL THREE domains and means a DIFFERENT payload in each — always pass both `domain` and `report` together, never assume "daily" behaget_customer_insightsGet customer behavior and retention insights. All reports are per-store in multi-store mode — use the store param to target a specific store. Reports: new_vs_returning (revenue/orders/AOV split by first-time vs repeat buyers), repeat_metrics (repeat purchase rate, avg days betweeget_refundsGet refund/return analytics. Reports: summary (total refunds, refund rate, % of revenue — supports compare for WoW/MoM/YoY trend), top_products (most refunded products by amount or rate), by_reason (classifies refund notes into buckets: size_fit_too_small, size_fit_too_large, quaget_discountsGet discount code analytics. Reports: summary (usage rate, AOV impact), top_codes (best performing codes by revenue/usage), code_details (specific code performance — requires 'code' param), by_product (which discount codes were applied to which products — optionally filter by 'coget_velocityGet sales-velocity analytics from one of two angles — pass `angle` to pick which, `report` to pick the report within it. • angle:"inventory" — the INVENTORY-management angle: how fast stock is moving and what to reorder. Reports: summary (sell-through rate, turnover, health statuget_marketing_performanceGet marketing performance dashboard — INCLUDING the canonical checkout funnel. ALSO USE THIS for 'checkout funnel' / 'where do customers drop off' / 'how is my funnel performing' questions; do NOT manually stitch a funnel from get_analytics + get_store_summary. Returns: `funnel` get_spend_reconciliationReconcile ad-spend numbers between Triple Whale's pixel attribution and the ad-platform APIs (Google Ads, Meta, TikTok). Same channel, different numbers — pixel typically captures 10-30% of true spend due to ad blockers, consent banners, and iOS ATT. Returns per-channel platform-get_products_by_channelGet products with marketing channel attribution showing which channels drive sales for each product. Attribution uses Triple Whale last-click data joined to Shopify order line items — requires Triple Whale to be connected. When Triple Whale is not connected, all orders appear undget_cart_affinityCo-purchase / market-basket analysis. Given an anchor product (productTitle), returns other products frequently bought with it, ranked by lift. Reports: basket (same-order co-purchase — best for bundles, 'frequently bought together' widgets, post-checkout upsells), lifetime (sameget_store_summaryGet overall store metrics from Shopify order data ONLY: revenue, orders, average order value, items sold, discounts, unique customers — all for the specified period. Includes percentage changes vs prior period. Also returns all-time totals (orders, products, customers). Use this query_ordersList individual orders matching filters: date range, financial status, customerId, min/max order total, order tags — sortable by date or total. Returns one row per order with name, status, fulfillment, orderTotal (formatted), items count, country, tags, and date. Use for 'show meget_orderLook up a specific order with full line item details (product, variant, SKU, quantity, price, vendor). Use orderName for user-facing IDs like '#1001', or orderId for Shopify numeric IDs. Also supports orderIds (array) to look up multiple orders at once — useful for cross-referencget_ordersGet order analytics by dimension. Reports: by_status (order counts/revenue by financial status), by_country (geographic sales breakdown — supports compare for WoW/MoM/YoY trend, returns top rising/falling countries), by_product (BEST FOR: 'how many customers bought product X?', 'get_top_productsGet top selling products ranked by revenue or quantity. Set level to 'variant' to break down by variant (size, colour, etc.) — includes SKU, discount, and profit margin when cost data is available. Set level to 'category' for a revenue / COGS / gross-profit / margin-% rollup by pget_product_catalogGet product catalog with inventory levels, pricing, cost, margins, status, and SEO metadata. Returns: title, vendor, productType, price, cost, margin, marginPercent, totalInventory, seoTitle (Shopify global.title_tag), seoDescription (Shopify global.description_tag), productUrl (get_campaign_impactDid THAT campaign actually work? Cross-source synthesis tool that measures the real impact of a specific Klaviyo campaign by comparing the post-send window against a DAY-OF-WEEK-ALIGNED baseline (same N days one week earlier). Returns: the campaign metadata, Klaviyo's own attribuget_product_healthCROSS-SOURCE PRODUCT HEALTH SCAN — one call that returns per-product reviews + refunds + sales velocity + inventory + a composite 'needs attention' score (0-100). Use this for 'which products need fixing?' / 'what should I look at?' / 'are there any product issues?' / 'which prodget_product_analyticsGet Shopify product sales analytics — units sold and revenue per product from ShopifyQL. Requires Shopify Plus or Advanced. NOTE: Views, add-to-cart, and purchase funnel counts are no longer available from ShopifyQL (Shopify removed these fields) — use get_marketing_performance fget_collectionsGet product collections and their contents, including SEO metadata. Reports: list (all collections with product counts plus seoTitle/seoDescription), products (products in a specific collection with pricing, inventory, SEO, and optional sales data). seoTitle/seoDescription corresget_customersGet customer analytics by dimension. Reports: segments (one-time/returning/VIP/at-risk), top (by spend or orders — includes customerId for each customer), by_country (geographic distribution — country is derived from order shipping address, not customer records; Shopify does not get_inventoryGet inventory analytics. Reports: summary (activeProducts count, totalVariants, outOfStock variant count, lowStock variant count with >0 and ≤10 units, totalUnits, active locations count), low_stock (products needing reorder — threshold defaults to 10 units), out_of_stock (zero-iget_weekly_trendsGet weekly revenue, orders, and items sold as a time series. Data is aggregated live from the Shopify Order table. Returns { rows, charts, presentation }. `rows` is the table — each row: weekOf, revenue (formatted), orders, itemsSold. `charts` is an array of three ready-to-renderget_connector_dataGet data from one connected third-party connector. Pass `connector` to pick which one and `report` to pick the report within it — valid `report` values differ per connector; this is the quick index, call get_help(<topic>) for the full picker + gotchas per connector. • connector:"ask_mobyESCAPE HATCH: ask Triple Whale's own AI assistant (Moby) a free-form question, answered by Triple Whale's servers against their full dataset. Use ONLY when no structured tool covers the question — prefer get_connector_data(connector:'triple-whale') / get_marketing_performance / gget_marketsGet Shopify Markets data — geographic market definitions and per-market revenue performance. Reports: markets (list of configured markets with their assigned countries and currencies), performance (revenue, orders, AOV, and revenue share broken down by market for a date range). Uget_query_to_urlJoin Google Search Console queries with Shopify product sales — answers questions that pure SEO or pure sales tools can't. Reports: by_url (given a product URL, return its top driving organic queries plus the matching product's sales/orders/refunds and an implied click-to-purchasget_reviewsGet product review analytics (Yotpo, Reviews.io, or Judge.me). Reports: summary (average rating, distribution), trends (daily volume/score), top_rated (best reviewed products), lowest_rated (worst reviewed), recent (latest reviews), by_product (all reviews for a specific product get_abandoned_checkoutsGet cart abandonment analytics. Reports: stats (trackedAbandonmentRecords, abandonedCheckouts, recoveredCheckouts, recoveryRate %, abandonedValue, lostRevenue, abandonedAgeDistribution — how long ago the still-unrecovered carts were abandoned: 0-24h, 24-48h, 2-7d, 7-30d, 30d+), tget_analyticsGet Google Analytics (GA4) website traffic and e-commerce data. **DO NOT USE THIS FOR CHECKOUT FUNNEL OR CVR QUESTIONS** — call `get_marketing_performance` instead, which uses Shopify TrafficStat (the canonical session source) and Shopify orders. GA4 over-counts sessions (~2-3× hRecent checks
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Link
https://ask-ai-data-connector.com/mcpQuestions about Ask AI in Muse
How do I connect Ask AI to Muse?
Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use Ask AI to help me. It is a free service with an MCP server at https://ask-ai-data-connector.com/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.
Is Ask AI working right now?
At the last check (September 28, 2026, 07:00 UTC) the endpoint was working, answering in 748ms. Over the last 7 days it answered 100% of health checks. It is checked every 15 minutes.
Is Ask AI safe to connect to Muse?
It was screened on September 24, 2026 with the result "screened, no issues found". Screening checks the domain against threat feeds and reads the tools for hidden instructions and requests for passwords or card numbers. It cannot see the server's code, so grant only the access you need.
What can Ask AI do in Muse?
It exposes 40 tools, including get_revenue_drivers, get_anomalies, get_sync_health, get_data_sources. For example, you could ask Muse: "Why did my revenue drop this week compared to last week?"
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