mcp server
seo-audit
Score any site or Shopify store for AEO/GEO/LLMO readiness — how likely AI search is to cite it.
Description as published by the maintainer. Source
- version 1.3.2
- active
- retrieval
active — Most recent push to the repository was 2026-06-14. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.
What this server can do
3 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
ai_search_diagnostic(url)- Audit ANY URL for AI-search readiness only (AEO/GEO/LLMO) — how likely ChatGPT, Claude, Perplexity & Google AI are to cite it. Checks ~7 AI-citation signals (FAQ/structured-data/entity schema, citable stats, llms.txt, author/E-E-A-T, OG). Returns a weighted 0–100 AI-readiness score + top fixes. Takes a `url`. Use full_seo_audit for the broader SEO picture, or get_my_store_audit for the user's own connected store. Required: url.
full_seo_audit(url)- Crawl-audit ANY URL across the WHOLE SEO surface (no login needed): the AI-search signals PLUS on-page SEO (title/meta/headings/content), technical SEO (HTTPS, robots.txt, XML sitemap, canonical, mobile), and — for Shopify stores — product/offer/review/breadcrumb schema and image-alt coverage. Returns a weighted 0–100 score + top issues. Takes a `url`. This audits an arbitrary website by crawling it — for the user's OWN connected store with real analytics, use get_my_store_audit. Required: url.
get_my_store_audit(api_key)- Get the user's OWN connected Shopify store audit — the deep 12-category report Inxy runs INSIDE the app using the store's real catalog, performance and analytics (technical, performance, on-page, schema, AEO, analytics, e-commerce, etc.) — far beyond what crawling a URL can see. Takes no url. Needs an Inxy API key (free at inxy.ai → Settings) + a connected store: pass the key either as `Authorization: Bearer inxy_sk_…` or as the `api_key` argument.
Last successful function declaration observed on . Source: https://inxy.ai/api/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://inxy.ai/api/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 0 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-06-14 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 1.3.2 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-06-14 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-06-14 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub | |
| mcp tools declared | 3 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | inxy.ai | |
| mcp endpoint status | ok | The server listed 3 functions when asked. | as of probe | inxy.ai |
Where to get it
Also from riverliu8
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io.github.riverliu8/pptogo-mcp
AI-agent commerce: browse campaigns/products, mint tracking links, publish posts, track earnings.
This record as data
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