Asonix

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as io.asonix/asonix and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

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Tools this endpoint exposes

Read directly from the endpoint on 4 Nov 2026. Not supplied by the maker.

• get_ai_visibility_overview

  Read a tracked app's stored AI recommendation benchmark: coverage, mention/recommendation/App Store citation rates, weekly history and topic/prompt summaries with run IDs. Not ASO visibility. No colle

• get_ai_visibility_reasons

  Read cached recommendation themes, exact answer quotes and description passage matches. Includes analysis status, timestamps and its own evidence denominator (which can differ from the overview). No g

• get_ai_visibility_evidence

  Read a saved AI Visibility answer by runId, or recent answers for one promptId (exactly one required). Defaults to one run; use nextBefore for older prompt runs. Citations, resolved mentions and class

• add_app

  Add an App Store app to the current Asonix workspace by App Store ID or app name/search query.

• create_unreleased_app

  Create a private unreleased app idea in the current Asonix workspace. Use this when the user's app is not on the App Store yet; then add researched keywords with add_keywords.

• search_apps

  Find App Store apps by name or developer, to get an app's appStoreId; use it before add_app when the user gives an app name. Returns at most 12 apps, in Apple's name-search order, which is not the key

• add_keywords

  Add one or more tracked keywords to an app in the current Asonix workspace and queue ranking refresh so popularity, difficulty, opportunity, and rank evidence can be collected. For agent-researched ca

• star_keyword

  Star/favorite a keyword research keyword in the current workspace by keywordId or term.