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Asonix

MCP server · hosted · v1.0.0 · io.asonix/asonix
Online · tested 1h agoNEW · 2h agoSeen in the registry 1h ago

ASO for your AI: keywords, rankings, competitors and ads across 2.5M+ App Store apps.

Website ↗How to connect ↓

What it does

Asonix is an MCP server, a connector that lets an AI assistant use it as a tool. It is hosted: an assistant connects to it over the internet, nothing to install.

From the publisher's description, Electra Index matched it to one capability: competitor monitoring. That makes it a candidate for tasks such as research competitors or track regulatory changes.

Facts come from the Official MCP Registry, as declared by the publisher. Capabilities are matched automatically (low confidence). None of this is a test of the tool.

At a glance

Hosted (remote)YES
Local installNO
Version1.0.0
PriceNot in the registry
First seen04 Nov 2026
Last checked1h ago

How to connect

As declared in the Official MCP Registry · hosted endpoint tested by Electra Index 1h ago (live check)

Hosted endpoint

  • https://api.asonix.io/mcp streamable-http

Required: Authorization (get it from the publisher)

MCP settings (Claude Desktop, Cursor and other MCP clients)

{
  "mcpServers": {
    "asonix": {
      "url": "https://api.asonix.io/mcp",
      "headers": {
        "Authorization": "<your Authorization>"
      }
    }
  }
}

Replace the values in <angle brackets>.

Live check

Electra Index connected to the hosted endpoint 1h ago

ONLINE Asonix answered an MCP connection on 04 Nov 2026 and introduced itself as asonix-aso-research 0.1.0 (MCP protocol 2025-06-18).

33 tools offered to AI assistants

  • 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 collection or model calls. Defaults to four w
  • 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 generation or refresh. Full descriptions
  • 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 classification coverage are included. include
  • 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 keyword ranking: for who ranks for a keywor
  • 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 candidates, call evaluate_keywords first a
  • star_keyword · Star/favorite a keyword research keyword in the current workspace by keywordId or term.
  • unstar_keyword · Remove a keyword research keyword from the current workspace favorites by keywordId or term.
  • list_apps · List apps tracked in the current Asonix workspace: names, App Store IDs, platforms, tracked storefronts, ratings and tracked-keyword counts. Pages with limit (default 20, max 100) and offset; q filters by name, developer, genre or ID. For o
  • list_tracked_keywords · One tracked app's tracked keywords with rank, popularity, difficulty, relevance and an ad summary, in one storefront or all. Use it for "how are my keywords doing". For the app's listing or ratings, or an untracked app, use get_app_overview
  • get_app_meta_ads · An App Store app's Meta ads (Facebook, Instagram, Messenger, Audience Network) from Asonix's monthly Ad Library crawl, worldwide, for any app: active ads with text, call to action, start date, platforms and an Ad Library link, and past ads
Show 21 more
  • refresh_app_rankings · Queue a ranking refresh for one tracked app's keywords not checked in the last 18 hours, and return at once with jobIds. Omit country for every tracked storefront; one refreshed recently is listed in coolingDown. A refresh can take 10 minut
  • get_ranking_refresh_status · Report progress of a ranking refresh started by refresh_app_rankings, or of the rankingRefreshJob id returned by add_keywords: keywords done, failed, and remaining per storefront. Poll no more often than pollAfterSeconds. When finished is t
  • get_workspace_keyword_opportunities · Return top scored keyword opportunities across all tracked apps in the current Asonix workspace, including shipped and unreleased apps, all countries, and rank/popularity/difficulty/opportunity evidence. Use this for requests like analyzing
  • check_tracked_keywords · Check candidate keyword terms against one tracked app's existing tracked keywords without dumping the full keyword table. iOS keyword rows include cached topAdvertisers; pending observations queue in the background. Use this before calling
  • get_app_overview · An app's overview in one storefront, for any App Store app. storeListing is the storefront's listing and rating. Lists are counts: include adds the full description, countryRatings, listingCountries or keywordSuggestions. tracked says wheth
  • get_app_visibility_history · Return tracked ASO visibility score history for an app, useful for momentum and trend analysis.
  • get_app_rank_history · Return rank, popularity, or difficulty history for one tracked app keyword in a storefront.
  • get_app_rating_history · Return stored public rating history for any App Store app, tracked or not, with deltas: the history the Inspect dialog shows. Asonix records rating history only while some workspace tracks the app, so an app no workspace has tracked has non
  • get_app_charts · Where any App Store app placed in Apple's iPhone top charts (free, paid, grossing; overall and by category) per storefront: best rank, days on chart, latest position. days: 7, 30 (default), 90 or 365. includeDailyCells adds a cell per chart
  • get_keyword_suggestions_for_app · Refresh and return Asonix keyword suggestions for one tracked app and storefront. Includes suggestionRelevance rows and inline metadata-plan relevanceScore/relevanceStatus; missing scores queue in the background.
  • research_app_keywords · Start keyword research for a tracked app in one call: Asonix suggestions, known public rankings and market keyword opportunities, each with the app's relevance. It can refresh the suggestion list, which spends the app's daily budget. Seed s
  • extract_competitor_keywords · Extract keyword opportunities from competitor public rankings and compare them against the tracked app. Includes relevanceScore/relevanceStatus for the target app, not the competitors; missing scores queue in the background. Provide competi
  • get_localization_opportunities · Build and return localization and translated market keyword opportunity requests for one tracked app.
  • get_public_app_rankings · Return known public App Store keyword rankings where an app appears in collected SERPs.
  • search_keywords · Search Asonix keyword research summaries by query, market, platform, scores, and market estimates. iOS keyword rows include cached topAdvertisers; pending observations queue in the background, so retry this tool later.
  • get_keyword_relevance · App-specific relevance (0–100) of up to 100 keywords for a tracked app, from the same scorer as the UI. Returns at once with ready, pending, failed or unavailable for each keyword. Pending is not zero: call again after 3 seconds or more, ba
  • evaluate_keywords · Rank and classify candidate keywords by Asonix popularity, difficulty and opportunity. Use it before recommending keywords or calling add_keywords. Known keywords reuse stored scores; up to 20 new ones per call are scored privately, without
  • get_keyword_top_apps · Who ranks for a keyword in one storefront; appStoreId gives that app's rank. Uses results Asonix checked in the last 18 hours, else a private live check; saves nothing. Adds stored scores when Asonix has them; to score a new keyword, use ev
  • get_keyword_top_advertisers · Apps seen in native App Store search ads for one iPhone keyword in one Apple Ads country: the last 7 days' check coverage, last seen, and 30 days of history. Cached only, no live Apple request; pending collection fills in on a later call. A
  • get_app_search_ads_keywords · Keywords where an iPhone app's App Store search ads were seen in the last 30 days, in all countries or one. Asonix checks each keyword about once a day, so a missing keyword may still be bid on. observedSharePercent7d is the share of the la
  • get_keyword_history · Return keyword popularity or difficulty history for an Asonix keyword, with cached topAdvertisers for eligible iOS keywords. Pending advertiser observations are queued; retry later.

What "online" means: the server answered an MCP connection at the time of the check. It is not a guarantee of security, quality or continuous uptime. How we test: we open an MCP session and ask for the tool list, as an AI assistant would. We never run a tool and never send a key. Checked every few days. Method

Is this your server? Monitoring Pro: a check every 30 minutes and an email within the hour when it stops answering. Launch offer: $39.99 once, for life.

Tasks it helps with

Share of each task's required capabilities it covers
Research competitors
Competitor Monitoring
33%
Track regulatory changes
Competitor Monitoring
33%

Similar tools

Listed for the same task: research competitors

Ready-made AI agents

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All AI agents to research competitors, ranked →

Facts & evidence

Each fact shows where it was seen and when.
FactValueEvidenceSourceLast confirmed
Hosted endpointhttps://api.asonix.io/mcpDECLAREDSRC-001 Official MCP Registry1h ago
Local install (package)noDECLAREDSRC-001 Official MCP Registry1h ago
Remote access (hosted)yesDECLAREDSRC-001 Official MCP Registry1h ago
Websitehttps://asonix.io/mcpDECLAREDSRC-001 Official MCP Registry1h ago
Registry statusactiveDECLAREDSRC-001 Official MCP Registry1h ago
Version1.0.0DECLAREDSRC-001 Official MCP Registry1h ago
MCP serveryesDECLAREDSRC-001 Official MCP Registry1h ago

Change history

  • NEW04 Nov 2026
    first seen in the index

Is this page accurate?

Flag it and our robot re-checks the official source. Reports never change a score.

Do you run Asonix? Know when it stops answering

For publishers · optional

Its hosted endpoint can be monitored. Monitoring Pro connects every 30 minutes like an AI assistant, emails you within the hour when it stops answering, keeps a 90-day availability history and adds your answer rate to your badge.

Monitor AsonixLaunch offer $39.99 once, for life instead of $9.99/month · All plans

Monitoring never changes a score or a rank.

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Announce it on LinkedInListed on Electra Index
<a href="https://electraindex.com/mcp/asonix?utm_source=badge&utm_medium=share&utm_campaign=listing"><img src="https://electraindex.com/api/badge/asonix" alt="Listed on Electra Index"></a>

Questions about Asonix

How do I connect Asonix?

Use the hosted endpoint https://api.asonix.io/mcp in your assistant's MCP settings. The exact settings are in "How to connect" above, as declared in the Official MCP Registry.

Does Asonix need an API key or token?

Yes. The registry entry lists a required value: Authorization. Get it from the publisher.

What tools does Asonix offer?

When Electra Index connected on 04 Nov 2026, it listed 33 tools: get_ai_visibility_overview, get_ai_visibility_reasons, get_ai_visibility_evidence, add_app, create_unreleased_app, search_apps, add_keywords, star_keyword and more. The full list is in "Live check" above.

Is Asonix online?

Yes. Its hosted endpoint answered an MCP connection from Electra Index 1h ago.

What can I use Asonix for?

Based on its description, it is most relevant to: research competitors, track regulatory changes.