Appkittie
/install appkittie-mcp-skills
AppKittie — App Store intelligence for AI agents
Full API documentation: www.appkittie.com/docs

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/
Cursor — Settings (⌘⇧J) → Rules → Add Rule → Remote Rule (GitHub) → https://github.com/appkittie/mcp, or copy skills locally:
| Where | Command |
|---|---|
| Project | cp -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
| Piece | Role |
|---|---|
| Skills | Opinionated playbooks under skills/—how to ask questions, structure answers, and chain workflows |
| MCP server | Hosted proxy (mcp.appkittie.com) so MCP clients can call AppKittie without wiring HTTP yourself |
| REST API | Direct 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:
- Create a key: appkittie.com/settings/api-keys (shown once—copy immediately).
- Register the server:
{
"mcpServers": {
"appkittie": {
"url": "https://mcp.appkittie.com",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}
MCP tools
| Tool | Purpose | Credits |
|---|---|---|
search_apps |
Filter iOS apps (30+ parameters) | 1 × rows returned |
get_app_detail |
Metadata, revenue, ads, IAPs, creators, contacts, history | 1 / call |
get_keyword_difficulty |
One keyword: popularity, difficulty, traffic, top apps | 10 / call |
batch_keyword_difficulty |
Up to 10 keywords, ranked by opportunity | 10 × keyword |
get_supported_countries |
Valid storefront codes | Free |
MCP prompts
| Prompt | Use case |
|---|---|
discover_niche |
Walk through profitable niches inside a category |
competitor_analysis |
Structured competitive intel |
keyword_research |
Prioritize and document a keyword set |
app_growth_report |
Gainers, losers, trend read |
ad_intelligence |
Category or niche ad landscape |
Skill catalog
Intelligence & positioning
| Skill | Link | Summary |
|---|---|---|
| App discovery | app-discovery | Slice the catalog by category, money, traction, ratings, ads, and more |
| Keyword research | keyword-research | Popularity, difficulty, traffic score, leaders—turn into a ranked plan |
| Metadata | metadata-optimization | Title, subtitle, keyword field, description with variants and limits |
| Competitors | competitor-analysis | Gaps, revenue contrast, ad teardown, positioning |
Growth, money, ads
| Skill | Link | Summary |
|---|---|---|
| Growth | growth-analysis | Fast movers, drivers, emerging patterns |
| Revenue | revenue-analysis | Benchmarks, monetization, IAP shape, pricing |
| Ads | ad-intelligence | Meta + Apple Search Ads footprint, creatives, UA angles |
Shared context
| Skill | Link | Summary |
|---|---|---|
| Marketing context | app-marketing-context | One 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
- Loads the relevant
SKILL.md(templates, guardrails, output shape). - Calls AppKittie—via MCP tools or HTTP—e.g.
search_appswith category +sortBy: revenue, orbatch_keyword_difficultyfor a seed list, thenget_keyword_difficultyon shortlist items. - Synthesizes: tables, takeaways, and next actions instead of raw JSON dumps.
REST API quick reference
Base: https://appkittie.com/api/v1
Auth: Authorization: Bearer \x3Ckey> — 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
| Route | Verb | Role | Credits |
|---|---|---|---|
/api/v1/apps |
GET | Search / filter apps | 1 per app in the payload |
/api/v1/apps/:appId |
GET | Full detail for one app | 1 per request |
/api/v1/keywords/difficulty |
GET | Single keyword | 10 per request |
/api/v1/keywords/difficulty |
POST | Batch (≤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=\x3CnextCursor>. null means end of results.
GET /api/v1/apps filters (AND-combined)
| Group | Parameters |
|---|---|
| Text | search — title, developer, description |
| Categories | categories, excludedCategories (comma-separated names) |
| Metrics | minDownloads / maxDownloads, minRevenue / maxRevenue, minRating / maxRating, minReviews / maxReviews, lifetime download/revenue min/max |
| Price | priceType (all | free | paid), minPrice, maxPrice |
| Growth | growthPeriod (7d…90d), growthType (all | positive | negative), minGrowth, maxGrowth |
| Signals | hasMetaAds, hasAppleAds, hasCreators, hasEmails, hasWebsite |
| Content | contentRating, languages, developer |
| Time | releasedAfter, updatedAfter (Unix seconds) |
| Order | sortBy (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:
| Header | Meaning |
|---|---|
X-RateLimit-Limit |
Ceiling for the window |
X-RateLimit-Remaining |
Calls left |
X-RateLimit-Reset |
Unix time when the window rolls |
429 includes reset timing—back off or wait.
Errors
JSON body includes error; validation issues add details per field.
| HTTP | Situation |
|---|---|
| 400 | Bad input — inspect details |
| 401 | Missing or invalid key |
| 402 | Out of credits |
| 404 | Unknown app |
| 429 | Rate limited |
| 500 | Server fault |
| 503 | Search 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
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install appkittie-mcp-skills - After installation, invoke the skill by name or use
/appkittie-mcp-skills - Provide required inputs per the skill's parameter spec and get structured output
What is Appkittie?
Provides AI agents with live App Store data for app discovery, keyword research, competitor analysis, growth, revenue, and ad intelligence using the AppKitti... It is an AI Agent Skill for Claude Code / OpenClaw, with 104 downloads so far.
How do I install Appkittie?
Run "/install appkittie-mcp-skills" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Appkittie free?
Yes, Appkittie is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Appkittie support?
Appkittie is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Appkittie?
It is built and maintained by Tadas Gedgaudas (@tadasgedgaudas); the current version is v1.0.0.