Ask AI
com.ask-ai-data-connector/ask-ai · 1.0.0
Ask questions across Shopify, Klaviyo, GA4 and 20+ e-commerce sources in plain English.
Nobody here has read this server's code, because it publishes none. The description above is the maker's own, from the registry. A connection test shows whether it answers and what tools it says it has; it never calls a tool, so it cannot show what one does with your data.
Where it sits in the directory's order
What can be seen from outside, weighed as the directory publishes.
Observable signals: 45 of 100 points (at most 60 here)
| Input | Points | What was seen |
|---|---|---|
| Source published | held at 0 | No entry here publishes source: that is what puts it in this directory. |
| Licence stated | held at 0 | With no files, there is nothing for a licence to be stated in or held against. |
| Advisory state | held at 0 | Advisory databases index packages, and these entries publish none, so there is nothing to look up. |
| Auth declared | 0 of 15 | The registry entry declares no key. That is what it declares, not a finding that it has no protection. |
| Latest connection test reached it | 20 of 20 |
Where it answers
https://ask-ai-data-connector.com/mcpstreamable-http
Connection test
The MCP handshake, then a request for the tool list, with no key and no data of yours. Run nightly, and by anyone, at most once every ten minutes per server.
It completed the handshake and listed 66 tools.
- Protocol
- 2025-06-18
- Calls itself
- ask-ai-dataconnector 1.0.0
- Handshake time
- 161 ms
- HTTP status
- 200
The tools it lists (66, as of 6 days ago)
The tool-description rules found nothing in these descriptions. They look for instructions aimed at a model and for hidden characters; they cannot see what a tool does when it runs.
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 signal supports it, what else would be true if it's correct, and which tool to call next to confirm or rule it out. Use when the merchant asks why revenue went up or down, what's driving performance, or what changed.
get_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 ranked anomalies with store, metric, current vs baseline, severity, and a one-line explanation. High-severity anomalies carry EITHER `drivers`+`driverSummary` (the tag/source/country slice that drove the move) OR `driversNote` (attribution ran, the move is broad-based — sitewide cause, not one channel), plus an `investi
get_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 firstOrderAt populated). Use this to diagnose 'why is metric X showing 0?' or to confirm data is current before reporting numbers.
get_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 understand what data is available before making other queries. If a source shows 'not_connected', those tools will return empty results.
How this entry becomes a listing
For the maker. The catalogue lists what it can read, and this server publishes nothing to read yet. There are two routes, and only the first is open today.
Publish the source Open today
- Put the server's source in a public repository on github.com, with a licence.
- Keep a server.json in that repository naming this server,
com.ask-ai-data-connector/ask-ai, and declare the repository in it:"repository": { "url": "https://github.com/owner/repo", "source": "github" }, adding"subfolder"when the server lives in a folder. - Publish that version to the official MCP registry.
- The nightly registry sweep records the declaration. This page stays, dated, and says the source is declared but not yet read.
- The catalogue reads declared repositories at a pinned commit, in batches run by hand, and lists the servers that meet the batch's rules (among them a server.json at that commit naming the server, an https endpoint and a licence). When it lists this server, this page links to the listing. There is no schedule, so no date can be promised.
List it through the maker studio Not open yet
From the official MCP registry, last updated there 78 days ago. The registry entry · ask-ai-data-connector.com