ASOClimb
App Store and Google Play keyword research, rank tracking, competitors, charts and niche analysis.
Should I use this
Quality & Safety
Findings (6)
- LOWTool 'get_account_usage' description lacks action verbin get_account_usage
- LOWTool 'list_autocomplete_history' description lacks action verbin list_autocomplete_history
- LOWTool 'list_niche_analyses' description lacks action verbin list_niche_analyses
- LOWTool 'list_top_chart_categories' description lacks action verbin list_top_chart_categories
- LOWTool 'list_new_release_categories' description lacks action verbin list_new_release_categories
- LOWTool 'get_app_score_history' description lacks action verbin get_app_score_history
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"aso": {
"url": "https://asoclimb.com/mcp"
}
}
}Remote endpoints
https://asoclimb.com/mcpstreamable-httpWhat it can do
Tool inventory
Tools (43)
🟢get_account_usage
Plan, limits and month-to-date usage for the workspace behind this key.
Input Schema
{
"type": "object",
"properties": {}
}🟢get_capabilities
Which stores and data sources this deployment serves: Google Play status, chart catalogs, autocomplete sources.
Input Schema
{
"type": "object",
"properties": {}
}🟢search_store(term, store, country, language)
Search a store for apps by name or keyword (listing metadata for up to 12 results, flagged when already tracked).
Input Schema
{
"type": "object",
"properties": {
"term": {
"type": "string",
"description": "Search term."
},
"store": {
"type": "string",
"enum": [
"apple_app_store",
"google_play"
],
"description": "Store. Google Play needs GOOGLE_PLAY_SOURCE on the deployment."
},
"country": {
"type": "string",
"description": "ISO country code, e.g. US, GB, IN."
},
"language": {
"type": "string",
"description": "Language code, e.g. en. Defaults to en."
}
},
"required": [
"term",
"store",
"country"
]
}🟢list_applications
List the applications tracked in this workspace with their latest listing facts.
Input Schema
{
"type": "object",
"properties": {}
}🟢get_application(application_id)
One application with its tracked keywords, competitors and listing snapshots.
Input Schema
{
"type": "object",
"properties": {
"application_id": {
"type": "string",
"description": "Application id from list_applications."
}
},
"required": [
"application_id"
]
}🔴add_application(bundle_id, store, country, language, platform, ...)
Track an app by bundle id (Apple) or package name (Google Play). Discovery then auto-tracks keywords and competitors when auto_track is on.
Input Schema
{
"type": "object",
"properties": {
"bundle_id": {
"type": "string",
"description": "Bundle id or package name."
},
"store": {
"type": "string",
"enum": [
"apple_app_store",
"google_play"
],
"description": "Store. Google Play needs GOOGLE_PLAY_SOURCE on the deployment."
},
"country": {
"type": "string",
"description": "ISO country code, e.g. US, GB, IN."
},
"language": {
"type": "string",
"description": "Language code, e.g. en. Defaults to en."
},
"platform": {
"type": "string",
"enum": [
"ios",
"macos"
],
"description": "Apple platform: ios (iPhone & iPad, default) or macos (the Mac App Store). apple_app_store only."
},
"auto_track": {
"type": "boolean",
"description": "Discover and track keywords and competitors automatically (default true)."
}
},
"required": [
"bundle_id",
"store",
"country"
]
}🔴discover_keywords(application_id, track, max_keywords)
Run keyword discovery for an application: title seeds, store suggestions and the titles of the apps that outrank it. With track true it also tracks the best candidates within the plan and up to five competitors.
Input Schema
{
"type": "object",
"properties": {
"application_id": {
"type": "string",
"description": "Application id."
},
"track": {
"type": "boolean",
"description": "Track the best candidates and up to five competitors within the plan (default false: preview only)."
},
"max_keywords": {
"type": "integer",
"description": "Maximum keywords to track when track is true (default 15)."
}
},
"required": [
"application_id"
]
}🟢list_keyword_opportunities(application_id)
Keyword opportunities for one application, assembled only from what this workspace already stored (tracked terms and their rank observations, saved inspections, saved store suggestions, tracked competitors and the listing itself). Reads no store, so `status` is "pending" until a discovery pass has completed for the listing.
Input Schema
{
"type": "object",
"properties": {
"application_id": {
"type": "string",
"description": "Application id."
}
},
"required": [
"application_id"
]
}🔴track_keyword_opportunities(application_id, terms)
Track up to 20 opportunity terms for an application. Terms the plan or the tracker rejects come back in `skipped` with a reason rather than being dropped silently.
Input Schema
{
"type": "object",
"properties": {
"application_id": {
"type": "string",
"description": "Application id."
},
"terms": {
"type": "array",
"items": {
"type": "string"
},
"description": "Terms from list_keyword_opportunities."
}
},
"required": [
"application_id",
"terms"
]
}🟢list_keywords(application_id, store, country)
Tracked keywords with current rank, traffic, difficulty, KEI, favorite flag and movement. rank_change is the places gained since the previous observation day (negative = lost); it is null, not 0, when there is no earlier day or when either day did not rank (the keyword entered or left the observed depth: compare current_rank with previous_rank).
Input Schema
{
"type": "object",
"properties": {
"application_id": {
"type": "string",
"description": "Filter by application id."
},
"store": {
"type": "string",
"enum": [
"apple_app_store",
"google_play"
],
"description": "Store. Google Play needs GOOGLE_PLAY_SOURCE on the deployment."
},
"country": {
"type": "string",
"description": "ISO country code, e.g. US, GB, IN."
}
}
}🔴track_keywords(application_id, keywords)
Track up to 20 keywords for an application; each gets an immediate rank observation.
Input Schema
{
"type": "object",
"properties": {
"application_id": {
"type": "string",
"description": "Application id."
},
"keywords": {
"type": "array",
"items": {
"type": "string"
},
"description": "Keywords to track."
}
},
"required": [
"application_id",
"keywords"
]
}🔴untrack_keyword(keyword_id, purge)
Stop tracking a keyword. History is kept unless purge is true.
Input Schema
{
"type": "object",
"properties": {
"keyword_id": {
"type": "string",
"description": "Tracking id from list_keywords."
},
"purge": {
"type": "boolean",
"description": "Delete the rank history too."
}
},
"required": [
"keyword_id"
]
}🔴set_keyword_favorite(keyword_id, favorite)
Mark or unmark a tracked keyword as a favorite.
Input Schema
{
"type": "object",
"properties": {
"keyword_id": {
"type": "string",
"description": "Tracking id."
},
"favorite": {
"type": "boolean"
}
},
"required": [
"keyword_id",
"favorite"
]
}🟢get_keyword_rank_history(keyword_id, days)
Daily rank, traffic, difficulty and KEI observations for a tracked keyword.
Input Schema
{
"type": "object",
"properties": {
"keyword_id": {
"type": "string",
"description": "Tracking id."
},
"days": {
"type": "integer",
"description": "Window in days (default 30)."
}
},
"required": [
"keyword_id"
]
}🔴inspect_keyword(keyword, store, country, language, platform)
Live keyword inspection: top apps, traffic/difficulty/KEI scores with breakdown (including autocomplete demand), related keywords. Spends one keyword inspection from the monthly plan allowance and stores the result.
Input Schema
{
"type": "object",
"properties": {
"keyword": {
"type": "string",
"description": "Keyword to inspect."
},
"store": {
"type": "string",
"enum": [
"apple_app_store",
"google_play"
],
"description": "Store. Google Play needs GOOGLE_PLAY_SOURCE on the deployment."
},
"country": {
"type": "string",
"description": "ISO country code, e.g. US, GB, IN."
},
"language": {
"type": "string",
"description": "Language code, e.g. en. Defaults to en."
},
"platform": {
"type": "string",
"enum": [
"ios",
"macos"
],
"description": "Apple platform: ios (iPhone & iPad, default) or macos (the Mac App Store). apple_app_store only."
}
},
"required": [
"keyword",
"store",
"country"
]
}🟢list_keyword_inspections
Recent stored keyword inspections in the workspace.
Input Schema
{
"type": "object",
"properties": {}
}🟢get_keyword_inspection(inspection_id)
One stored inspection with its full breakdown.
Input Schema
{
"type": "object",
"properties": {
"inspection_id": {
"type": "string",
"description": "Inspection id."
}
},
"required": [
"inspection_id"
]
}🔴run_autocomplete(prefix, store, country, language)
Live store search suggestions for a prefix, in the order the store shows them (Apple search hints / Google Play suggest). Spends one autocomplete request from the monthly plan allowance and stores the observation.
Input Schema
{
"type": "object",
"properties": {
"prefix": {
"type": "string",
"description": "What the shopper has typed so far."
},
"store": {
"type": "string",
"enum": [
"apple_app_store",
"google_play"
],
"description": "Store. Google Play needs GOOGLE_PLAY_SOURCE on the deployment."
},
"country": {
"type": "string",
"description": "ISO country code, e.g. US, GB, IN."
},
"language": {
"type": "string",
"description": "Language code, e.g. en. Defaults to en."
}
},
"required": [
"prefix",
"store",
"country"
]
}🟢list_autocomplete_history
Stored autocomplete observations.
Input Schema
{
"type": "object",
"properties": {}
}🔴run_niche_analysis(topic, store, country, language, platform, ...)
Analyze a niche from a seed keyword: related terms from store suggestions and title phrases, clusters, modeled market size (ranges), success rate above a threshold, newcomer success, top-3 concentration, keyword difficulty, and a 0-100 opportunity score with its range and components. Spends one niche analysis from the monthly plan allowance and stores the result.
Input Schema
{
"type": "object",
"properties": {
"topic": {
"type": "string",
"description": "Topic or seed phrase."
},
"store": {
"type": "string",
"enum": [
"apple_app_store",
"google_play"
],
"description": "Store. Google Play needs GOOGLE_PLAY_SOURCE on the deployment."
},
"country": {
"type": "string",
"description": "ISO country code, e.g. US, GB, IN."
},
"language": {
"type": "string",
"description": "Language code, e.g. en. Defaults to en."
},
"platform": {
"type": "string",
"enum": [
"ios",
"macos"
],
"description": "Apple platform: ios (iPhone & iPad, default) or macos (the Mac App Store). apple_app_store only."
},
"threshold": {
"type": "number",
"description": "Monthly success threshold (default 10000)."
},
"threshold_metric": {
"type": "string",
"enum": [
"revenue",
"downloads"
],
"description": "What the threshold measures (default revenue)."
}
},
"required": [
"topic",
"store",
"country"
]
}🟢list_niche_analyses
Stored niche analyses: topic, storefront, schema version and opportunity score with its range.
Input Schema
{
"type": "object",
"properties": {}
}🟢list_competitors(application_id)
Competitors tracked for an application (or the whole workspace).
Input Schema
{
"type": "object",
"properties": {
"application_id": {
"type": "string",
"description": "Filter by application id."
}
}
}🔴add_competitor(application_id, competitor_bundle_id)
Track a competitor app for one of your applications.
Input Schema
{
"type": "object",
"properties": {
"application_id": {
"type": "string",
"description": "Your application id."
},
"competitor_bundle_id": {
"type": "string",
"description": "Competitor bundle id or package name."
}
},
"required": [
"application_id",
"competitor_bundle_id"
]
}🔴remove_competitor(competitor_id)
Stop tracking a competitor.
Input Schema
{
"type": "object",
"properties": {
"competitor_id": {
"type": "string",
"description": "Competitor id from list_competitors."
}
},
"required": [
"competitor_id"
]
}🟢get_competitor_keywords(competitor_id)
Keywords where a competitor ranks, from your tracked observations.
Input Schema
{
"type": "object",
"properties": {
"competitor_id": {
"type": "string",
"description": "Competitor id."
}
},
"required": [
"competitor_id"
]
}🟢list_top_chart_categories(store)
Chart collections and categories available for a store.
Input Schema
{
"type": "object",
"properties": {
"store": {
"type": "string",
"enum": [
"apple_app_store",
"google_play"
],
"description": "Store. Google Play needs GOOGLE_PLAY_SOURCE on the deployment."
}
},
"required": [
"store"
]
}🟢top_charts(store, country, language, collection, category, ...)
Top free, paid or grossing chart for a store, country and category, with daily movement and new entries.
Input Schema
{
"type": "object",
"properties": {
"store": {
"type": "string",
"enum": [
"apple_app_store",
"google_play"
],
"description": "Store. Google Play needs GOOGLE_PLAY_SOURCE on the deployment."
},
"country": {
"type": "string",
"description": "ISO country code, e.g. US, GB, IN."
},
"language": {
"type": "string",
"description": "Language code, e.g. en. Defaults to en."
},
"collection": {
"type": "string",
"enum": [
"free",
"paid",
"grossing"
]
},
"category": {
"type": "string",
"description": "Category id from list_top_chart_categories (default overall)."
},
"limit": {
"type": "integer",
"description": "Rows (default 100, max 200)."
}
},
"required": [
"store",
"country"
]
}🟢list_new_release_categories(store)
New-release collections and categories available for a store, with the coverage each store can honestly answer.
Input Schema
{
"type": "object",
"properties": {
"store": {
"type": "string",
"enum": [
"apple_app_store",
"google_play"
],
"description": "Store. Google Play needs GOOGLE_PLAY_SOURCE on the deployment."
}
},
"required": [
"store"
]
}🟢new_releases(store, country, language, collection, category, ...)
Apps released to a storefront within a recent window, flagged with the chart position of the ones already ranking. Observed price, in-app purchase and audience fields only: neither store publishes per-app revenue, and none is estimated.
Input Schema
{
"type": "object",
"properties": {
"store": {
"type": "string",
"enum": [
"apple_app_store",
"google_play"
],
"description": "Store. Google Play needs GOOGLE_PLAY_SOURCE on the deployment."
},
"country": {
"type": "string",
"description": "ISO country code, e.g. US, GB, IN."
},
"language": {
"type": "string",
"description": "Language code, e.g. en. Defaults to en."
},
"collection": {
"type": "string",
"description": "Collection id from list_new_release_categories (App Store: free, paid, grossing; Google Play: new_free, new_paid)."
},
"category": {
"type": "string",
"description": "Category id from list_new_release_categories (default overall)."
},
"days": {
"type": "integer",
"description": "Release window in days (default 7, max 30)."
}
},
"required": [
"store",
"country"
]
}🔴get_category_rank(application_id, collection)
Where one of your applications sits in its own category chart today, plus the stored daily history. Records today's observation.
Input Schema
{
"type": "object",
"properties": {
"application_id": {
"type": "string",
"description": "Application id."
},
"collection": {
"type": "string",
"enum": [
"free",
"paid",
"grossing"
]
}
},
"required": [
"application_id"
]
}🟢get_app_score_history(application_id, days)
Rank observations for an application across all its keywords over a window.
Input Schema
{
"type": "object",
"properties": {
"application_id": {
"type": "string",
"description": "Application id."
},
"days": {
"type": "integer",
"description": "Window in days (default 7, max 90)."
}
},
"required": [
"application_id"
]
}🟢get_dashboard
Workspace dashboard: totals, movers, alerts and scheduler status. A mover with change null entered the observed results (previous_rank null) or left them (current_rank null).
Input Schema
{
"type": "object",
"properties": {}
}🟢get_scheduler_health
Whether the hourly observation job is running and how much of this workspace it has covered today: heartbeat state, tracked vs observed-today counts and the last 24 runs that included this workspace.
Input Schema
{
"type": "object",
"properties": {}
}🟢list_alert_events
Recent rank alert events.
Input Schema
{
"type": "object",
"properties": {}
}🟢get_metadata(application_id)
The stored live listing of a tracked application (title and description from the store; subtitle, keyword field or short description from the draft marked current), store character limits, checks on the live copy, the coverage of its tracked keywords and the saved drafts.
Input Schema
{
"type": "object",
"properties": {
"application_id": {
"type": "string",
"description": "Application id."
}
},
"required": [
"application_id"
]
}🔴simulate_metadata(application_id, title, subtitle, keywords, short_description, ...)
Check proposed listing copy for a tracked application and simulate it: character counters against store limits, duplicate and wasted words, keyword-field spacing, competitor brand names, Google Play description density, and which tracked or candidate keywords become covered or uncovered with a modeled coverage score (live vs draft). Coverage is a model, not a rank prediction. Stores nothing.
Input Schema
{
"type": "object",
"properties": {
"application_id": {
"type": "string",
"description": "Application id."
},
"title": {
"type": "string",
"description": "Title (30 characters on both stores)."
},
"subtitle": {
"type": "string",
"description": "App Store subtitle (30). Not public: supply the live one from App Store Connect."
},
"keywords": {
"type": "string",
"description": "App Store keyword field (100, comma separated, no spaces needed). Not public: supply your own."
},
"short_description": {
"type": "string",
"description": "Google Play short description (80)."
},
"description": {
"type": "string",
"description": "Description (4000). Indexed by Google Play, not by the App Store."
},
"candidates": {
"type": "array",
"items": {
"type": "string"
},
"description": "Extra terms to simulate besides the tracked keywords (up to 50)."
}
},
"required": [
"application_id",
"title"
]
}🔴save_metadata_draft(application_id, name, is_current, title, subtitle, ...)
Save listing copy as a named draft for a tracked application, optionally marking it as the copy that is live today (fills the private fields of the live baseline). Counts against the monthly draft-save allowance.
Input Schema
{
"type": "object",
"properties": {
"application_id": {
"type": "string",
"description": "Application id."
},
"name": {
"type": "string",
"description": "Draft name."
},
"is_current": {
"type": "boolean",
"description": "This is the copy live in the store today."
},
"title": {
"type": "string",
"description": "Title (30 characters on both stores)."
},
"subtitle": {
"type": "string",
"description": "App Store subtitle (30). Not public: supply the live one from App Store Connect."
},
"keywords": {
"type": "string",
"description": "App Store keyword field (100, comma separated, no spaces needed). Not public: supply your own."
},
"short_description": {
"type": "string",
"description": "Google Play short description (80)."
},
"description": {
"type": "string",
"description": "Description (4000). Indexed by Google Play, not by the App Store."
}
},
"required": [
"application_id",
"title"
]
}🟢list_metadata_drafts(application_id)
Saved metadata drafts for a tracked application, with the coverage and check counts stored when each was saved.
Input Schema
{
"type": "object",
"properties": {
"application_id": {
"type": "string",
"description": "Application id."
}
},
"required": [
"application_id"
]
}🟢compare_metadata_draft(draft_id)
One saved draft compared field by field with the live listing, re-simulated against the current rank observations.
Input Schema
{
"type": "object",
"properties": {
"draft_id": {
"type": "string",
"description": "Draft id from list_metadata_drafts."
}
},
"required": [
"draft_id"
]
}🔴check_listing_metadata(bundle_id, store, country, language, title, ...)
Check any App Store or Google Play listing, tracked or not: reads its public title and description now and runs the metadata checks on them plus any subtitle, keyword field or terms you supply. Stores nothing.
Input Schema
{
"type": "object",
"properties": {
"bundle_id": {
"type": "string",
"description": "Bundle id or package name."
},
"store": {
"type": "string",
"enum": [
"apple_app_store",
"google_play"
]
},
"country": {
"type": "string",
"description": "ISO country code."
},
"language": {
"type": "string",
"description": "Language code (default en)."
},
"title": {
"type": "string",
"description": "Title (30 characters on both stores)."
},
"subtitle": {
"type": "string",
"description": "App Store subtitle (30). Not public: supply the live one from App Store Connect."
},
"keywords": {
"type": "string",
"description": "App Store keyword field (100, comma separated, no spaces needed). Not public: supply your own."
},
"short_description": {
"type": "string",
"description": "Google Play short description (80)."
},
"description": {
"type": "string",
"description": "Description (4000). Indexed by Google Play, not by the App Store."
},
"candidates": {
"type": "array",
"items": {
"type": "string"
},
"description": "Extra terms to simulate besides the tracked keywords (up to 50)."
}
},
"required": [
"bundle_id",
"store",
"country"
]
}🟢get_keyword_gap(competitor_id)
Keyword gap against one tracked competitor: terms it ranks for in the top 30 where your app does not (with both ranks, modeled traffic, difficulty and an opportunity score), plus shared and only-you lists. Terms come only from this workspace's tracked keywords and its own keyword inspections.
Input Schema
{
"type": "object",
"properties": {
"competitor_id": {
"type": "string",
"description": "Competitor id from list_competitors."
}
},
"required": [
"competitor_id"
]
}🟢list_keyword_gaps(application_id)
Keyword-gap summary for every tracked competitor of an application, with each competitor's five best gap terms.
Input Schema
{
"type": "object",
"properties": {
"application_id": {
"type": "string",
"description": "Application id."
}
},
"required": [
"application_id"
]
}🔴expand_keyword_gap(competitor_id, prefixes, max_terms)
Widen a competitor's keyword gap: ask the store autocomplete about words from the competitor's title (or the prefixes given) and inspect new suggestions. Spends one autocomplete request per prefix and one keyword inspection per inspected term from the monthly allowances, then returns the refreshed gap.
Input Schema
{
"type": "object",
"properties": {
"competitor_id": {
"type": "string",
"description": "Competitor id."
},
"prefixes": {
"type": "array",
"items": {
"type": "string"
},
"description": "Up to 3 prefixes (default: words from the competitor title)."
},
"max_terms": {
"type": "integer",
"description": "Most suggestions to inspect (default 5, max 10)."
}
},
"required": [
"competitor_id"
]
}Community
Evidence