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Appkittie

Provides AI agents with live App Store data for app discovery, keyword research, competitor analysis, growth, revenue, and ad intelligence using the AppKitti...
为 AI 代理提供实时 App Store 数据,用于应用发现、关键词研究、竞品分析、增长、收入和广告情报,基于 AppKitti。
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概述

AppKittie — App Store intelligence for AI agents

Full API documentation: www.appkittie.com/docs

!AppKittie — App Store Intelligence branding

Turn Cursor, Claude Code, or any Agent Skills–compatible assistant into a research partner for the App Store: discovery, ASO, competitors, growth, revenue, and ads—backed by live data from the AppKittie API (2M+ iOS apps, estimates, growth windows, and ad signals).


Install the skills

Today’s coding agents load Agent Skills from disk: each skill is a folder with a SKILL.md (and optional files), placed where your tool looks—commonly .cursor/skills/, .claude/skills/, .agents/skills/, or .codex/skills/. You either copy those folders, subscribe to a remote rule (Cursor), or use a CLI that fetches from GitHub (Claude Code).

Claude Code — official installer; downloads this repo and registers the skills:

npx skills add appkittie/mcp

Install only specific skills:

npx skills add appkittie/mcp --skill keyword-research competitor-analysis

If you already cloned the repo: cp -r mcp/skills/* .claude/skills/

CursorSettings (⌘⇧J) → RulesAdd RuleRemote Rule (GitHub)https://github.com/appkittie/mcp, or copy skills locally:

WhereCommand
----------------
Projectcp -r mcp/skills/* .cursor/skills/
User (all projects)cp -r mcp/skills/* ~/.cursor/skills/

Any other agent — clone and point skills/ at the path your client documents:

git clone https://github.com/appkittie/mcp.git
cp -r mcp/skills/* .cursor/skills/   # or .claude/skills/, .agents/skills/, .codex/skills/

Install the MCP server

Skills describe how to reason about App Store work; MCP exposes live tools (search_apps, keyword endpoints, etc.) against AppKittie. Create an API key at appkittie.com/settings/api-keys (it is only shown once when created).

Claude Code — register the hosted server (HTTP transport + bearer auth):

claude mcp add appkittie --transport http https://mcp.appkittie.com --header "Authorization: Bearer YOUR_API_KEY"

Substitute your real key for YOUR_API_KEY.

Cursor and other MCP clients — use the same URL and Authorization: Bearer … header in your app’s MCP configuration. Example JSON: Wire up the MCP server below.


What you get

PieceRole
--------------
SkillsOpinionated playbooks under skills/—how to ask questions, structure answers, and chain workflows
MCP serverHosted proxy (mcp.appkittie.com) so MCP clients can call AppKittie without wiring HTTP yourself
REST APIDirect GET/POST to https://appkittie.com/api/v1 for scripts, backends, or custom tools

Skills compose: e.g. competitor-analysis may point you to keyword-research, then metadata-optimization for execution.


Wire up the MCP server

The worker on Cloudflare forwards requests to AppKittie. Claude Code users can register via claude mcp add above; everyone else (e.g. Cursor) typically pastes config like this:

  1. Create a key: appkittie.com/settings/api-keys (shown once—copy immediately).
  2. Register the server:
{
  "mcpServers": {
    "appkittie": {
      "url": "https://mcp.appkittie.com",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

MCP tools

ToolPurposeCredits
------------------------
search_appsFilter iOS apps (30+ parameters)1 × rows returned
get_app_detailMetadata, revenue, ads, IAPs, creators, contacts, history1 / call
get_keyword_difficultyOne keyword: popularity, difficulty, traffic, top apps10 / call
batch_keyword_difficultyUp to 10 keywords, ranked by opportunity10 × keyword
get_supported_countriesValid storefront codesFree

MCP prompts

PromptUse case
------------------
discover_nicheWalk through profitable niches inside a category
competitor_analysisStructured competitive intel
keyword_researchPrioritize and document a keyword set
app_growth_reportGainers, losers, trend read
ad_intelligenceCategory or niche ad landscape

Skill catalog

Intelligence & positioning

SkillLinkSummary
----------------------
App discoveryapp-discoverySlice the catalog by category, money, traction, ratings, ads, and more
Keyword researchkeyword-researchPopularity, difficulty, traffic score, leaders—turn into a ranked plan
Metadatametadata-optimizationTitle, subtitle, keyword field, description with variants and limits
Competitorscompetitor-analysisGaps, revenue contrast, ad teardown, positioning

Growth, money, ads

SkillLinkSummary
----------------------
Growthgrowth-analysisFast movers, drivers, emerging patterns
Revenuerevenue-analysisBenchmarks, monetization, IAP shape, pricing
Adsad-intelligenceMeta + Apple Search Ads footprint, creatives, UA angles

Shared context

SkillLinkSummary
----------------------
Marketing contextapp-marketing-contextOne doc: app, audience, rivals, goals—feeds the other skills

Example prompts & commands

Natural language (after skills are installed):

  • “Surface the highest-earning Health & Fitness apps.”
  • “US keyword set for a meditation app—prioritize by opportunity.”
  • “Competitive read for app id 1234567890.”
  • “Who’s buying Meta ads in productivity lately?”
  • “What’s climbing fastest this week?”
  • “Rewrite title + subtitle for these keywords, three options each.”
  • “Capture my marketing context so follow-ups stay consistent.”
  • “Rough revenue band for education—who owns the top?”

Slash-style entry points: /app-discovery, /keyword-research, /metadata-optimization, /competitor-analysis, /growth-analysis, /ad-intelligence, /revenue-analysis.


How an agent typically runs

  1. Loads the relevant SKILL.md (templates, guardrails, output shape).
  2. Calls AppKittie—via MCP tools or HTTP—e.g. search_apps with category + sortBy: revenue, or batch_keyword_difficulty for a seed list, then get_keyword_difficulty on shortlist items.
  3. Synthesizes: tables, takeaways, and next actions instead of raw JSON dumps.

REST API quick reference

Base: https://appkittie.com/api/v1

Auth: Authorization: Bearer — same keys as the dashboard.

curl -sS "https://appkittie.com/api/v1/apps?search=fitness&limit=5" \
  -H "Authorization: Bearer YOUR_API_KEY"

Routes & billing

RouteVerbRoleCredits
----------------------------
/api/v1/appsGETSearch / filter apps1 per app in the payload
/api/v1/apps/:appIdGETFull detail for one app1 per request
/api/v1/keywords/difficultyGETSingle keyword10 per request
/api/v1/keywords/difficultyPOSTBatch (≤10 keywords)10 per keyword with data

Payload shape

Success bodies use a top-level data. Lists add cursor pagination:

{
  "data": [{ "title": "Calm", "score": 4.8, "downloads": 85000 }],
  "pagination": { "nextCursor": 50, "totalCount": 12450 }
}

Request the next page with cursor=. null means end of results.

GET /api/v1/apps filters (AND-combined)

GroupParameters
-------------------
Textsearch — title, developer, description
Categoriescategories, excludedCategories (comma-separated names)
MetricsminDownloads / maxDownloads, minRevenue / maxRevenue, minRating / maxRating, minReviews / maxReviews, lifetime download/revenue min/max
PricepriceType (all \free \paid), minPrice, maxPrice
GrowthgrowthPeriod (7d90d), growthType (all \positive \negative), minGrowth, maxGrowth
SignalshasMetaAds, hasAppleAds, hasCreators, hasEmails, hasWebsite
ContentcontentRating, languages, developer
TimereleasedAfter, updatedAfter (Unix seconds)
OrdersortBy (growth, rating, reviews, updated, released, downloads, revenue, trending, newest), sortOrder (asc \desc)

Full parameter matrix: tools/REGISTRY.md.

cURL samples

High-revenue fitness slice:

curl -sS "https://appkittie.com/api/v1/apps?search=fitness&categories=Health+%26+Fitness&minRevenue=10000&sortBy=revenue&sortOrder=desc&limit=10" \
  -H "Authorization: Bearer YOUR_API_KEY"

Batch keywords (US storefront):

curl -sS -X POST "https://appkittie.com/api/v1/keywords/difficulty" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"keywords":["meditation","sleep tracker","mindfulness","breathing exercises","yoga"],"country":"US"}'

Credits & headers

  • App list: 1 credit per returned row; if your balance is below limit, the API trims the page.
  • App detail: 1 credit per call.
  • Keyword (single): 10 credits per call.
  • Keyword (batch): 10 credits per keyword that returns data; duplicates removed before charge.

Every response can include X-Credits-Used and X-Credits-Remaining. Balance also appears on the API Keys page.

Rate limits

Per key, 60s sliding window. Useful headers:

HeaderMeaning
-----------------
X-RateLimit-LimitCeiling for the window
X-RateLimit-RemainingCalls left
X-RateLimit-ResetUnix time when the window rolls

429 includes reset timing—back off or wait.

Errors

JSON body includes error; validation issues add details per field.

HTTPSituation
-----------------
400Bad input — inspect details
401Missing or invalid key
402Out of credits
404Unknown app
429Rate limited
500Server fault
503Search backend unavailable

Fields you can expect

  • List rows: Title, icon, developer, category, rating, reviews, download/revenue estimates (e.g. trailing 30d revenue), multi-window growth, release/update timestamps.
  • Detail: Everything above plus description, screenshots, versions, IAP catalog, Meta creatives (assets, copy, status, dates), Apple Search Ads by country, creator deals, contact hints, socials, hiring flags, historical series for rank/reviews/revenue/downloads.
  • Keywords: Popularity and difficulty (0–100), competing app count, traffic score (0–100), leaderboard snippets (title, icon, reviews, score, rank).

License

MIT

版本历史

共 1 个版本

  • v1.0.0 当前
    2026-05-07 12:08 安全 安全

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