← Back to Skills Marketplace
tadasgedgaudas

Appkittie

by Tadas Gedgaudas · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
104
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install appkittie-mcp-skills
Description
Provides AI agents with live App Store data for app discovery, keyword research, competitor analysis, growth, revenue, and ad intelligence using the AppKitti...
README (SKILL.md)

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:

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:

  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

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

  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 \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 (7d90d), 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

Usage Guidance
This skill appears coherent for App Store research, but take simple precautions before installing: 1) Verify the GitHub repo (https://github.com/appkittie/mcp) and the publisher identity — don't run npx or arbitrary install commands until you inspect the code. 2) Confirm TLS and ownership of mcp.appkittie.com and review its privacy/terms — your API key will be forwarded there. 3) Create an API key with minimal scope and treat it as a secret (do not reuse other service credentials). 4) Keep sensitive data out of the generated app-marketing-context.md file (no passwords, API keys, or private user data). 5) If you plan to run the npx command, inspect the package that npx will execute (or clone the repo manually) so you know what code will run on your machine.
Capability Analysis
Type: OpenClaw Skill Name: appkittie-mcp-skills Version: 1.0.0 The AppKittie skill bundle provides a comprehensive set of tools and instructions for AI agents to perform App Store research, including keyword analysis, competitor tracking, and revenue estimation. The bundle utilizes the Model Context Protocol (MCP) to interface with the AppKittie API (appkittie.com) and includes well-structured playbooks (SKILL.md files) that guide the agent's reasoning. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; the installation steps and API interactions are consistent with the stated purpose of the service.
Capability Assessment
Purpose & Capability
The name/description (App Store intelligence, keywords, revenue, ads) match the instructions: skills call AppKittie endpoints (search_apps, get_app_detail, keyword endpoints) and provide playbooks for ASO and competitive analysis. No unrelated credentials, binaries, or system paths are requested.
Instruction Scope
Runtime instructions are explicit and stay on-topic (call AppKittie/MCP endpoints, create/read an app-marketing-context.md for context). They instruct the agent to read and write a local app-marketing-context.md file (expected behavior) and to register a hosted MCP server with an Authorization: Bearer API key. This is reasonable for the stated purpose but worth noting: the API key will be sent to mcp.appkittie.com and used for all API calls the skills make.
Install Mechanism
This is instruction-only (no install spec, no packaged code files that run automatically). The doc suggests cloning a GitHub repo and an npx command (npx skills add appkittie/mcp). Those are standard but involve fetching remote code (GitHub/npm) under the user's control — inspect the repo before running npx or cloning and verify the source.
Credentials
The skill does not declare environment variables or request unrelated credentials. It does require the user to create an AppKittie API key and provide it to the MCP server configuration — this is proportional to calling a hosted API. No other secrets or system credentials are requested.
Persistence & Privilege
The skill does not request always:true or system-wide privileges. It instructs creation/reading of a project-local app-marketing-context.md file and registering an MCP server in the client's MCP config — both are within normal behavior for skills and confined to the user's agent configuration.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install appkittie-mcp-skills
  3. After installation, invoke the skill by name or use /appkittie-mcp-skills
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
AppKittie MCP Skills 1.0.0 — Initial Release - Introduces Agent Skills for App Store research: discovery, ASO, competitors, growth, revenue, and ads, powered by live AppKittie data. - Supports easy install and config for Claude Code, Cursor, and other MCP-compatible agents. - Provides playbooks such as app discovery, keyword research, metadata optimization, competitor and growth analysis, ad intelligence, and revenue analysis. - Connects agents to a hosted MCP server for seamless use of AppKittie API endpoints and prompts. - Includes sample commands, REST API reference, and detailed setup instructions for all supported platforms.
Metadata
Slug appkittie-mcp-skills
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

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.

💬 Comments