# Ask AI Muse connector

From musedirectory.ai, the independent directory of Meta Muse connectors. Not affiliated with Meta.

## Ask AI

Ask questions about your e-commerce business across Shopify, Klaviyo, GA4 and other platforms in plain English

- Record: https://musedirectory.ai/connector/ask-ai
- Category: Shopping & Commerce
- Developer: ask-ai-data-connector.com (https://ask-ai-data-connector.com)
- Muse status: Extra setup. Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
- Health: Working, 96ms, checked 2026-09-28T09:16:02Z
- Endpoint: https://ask-ai-data-connector.com/mcp
- Auth: No account needed; Pricing: unknown
- Screening: Screened, no issues found (2026-09-24T11:05:56Z)
- Source: Found in the official MCP Registry (com.ask-ai-data-connector/ask-ai) https://registry.modelcontextprotocol.io/v0/servers?search=com.ask-ai-data-connector%2Fask-ai

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.

Example request: "Why did my revenue drop this week compared to last week?"

How to connect: 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.

Tools:
- get_revenue_drivers: Diagnostic 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 sign
- get_anomalies: Anomaly 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 r
- get_sync_health: Report 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 firstOr
- get_data_sources: CALL 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 under
- get_complete_dashboard: Get 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 ov
- get_metrics_comparison: BEST 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 S
- get_metrics_multi_compare: Get 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_monthly: Month-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 one
- get_forecast: Forecast 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 w
- save_target: Store 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 comp
- get_targets: List 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 i
- get_daily_metrics: Get 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" beha
- get_customer_insights: Get 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 betwee
- get_refunds: Get 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, qua
- get_discounts: Get 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 'co
- get_velocity: Get 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 statu
- get_marketing_performance: Get 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_reconciliation: Reconcile 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_channel: Get 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 und
- get_cart_affinity: Co-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 (same
- get_store_summary: Get 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_orders: List 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 me
- get_order: Look 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-referenc
- get_orders: Get 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_products: Get 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 p
- get_product_catalog: Get 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_impact: Did 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 attribu
- get_product_health: CROSS-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 prod
- get_product_analytics: Get 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 f
- get_collections: Get 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 corres
- get_customers: Get 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_inventory: Get 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-i
- get_weekly_trends: Get 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-render
- get_connector_data: Get 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_moby: ESCAPE 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 / g
- get_markets: Get 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). U
- get_query_to_url: Join 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-purchas
- get_reviews: Get 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_checkouts: Get 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+), t
- get_analytics: Get 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× h

Screening checks:
- 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: warn (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)