Model Context Protocol
App Store intelligence
inside your AI agent
The Appeeky MCP server gives Claude, Cursor, Windsurf, and any MCP-compatible agent direct access to live App Store data — keyword rankings, ASO audits, competitor gaps, market trends, and metadata suggestions — from a natural language prompt.
Works with /
See it in action
Ask anything about App Store data
You
What keywords should I target for my fitness app in the US?
Appeeky MCP
Top keyword opportunities (US)
4 low-difficulty, high-volume gaps found vs. your top competitor.
Quick start
Up and running in 2 minutes
Create an account
Sign up free — no credit card required. Your API key is provisioned instantly.
Copy the config snippet
Paste two lines into your MCP client settings file. Cursor, Claude Desktop, and Windsurf all support SSE transport.
Start asking questions
Type natural language prompts in your AI agent. Appeeky resolves the data behind the scenes — no wrapper code.
Config snippet
// mcp_settings.json (Cursor / Windsurf)
"mcpServers": {
"appeeky": {
"url": "https://mcp.appeeky.com/sse",
"apiKey": "ak_your_key"
}
}
Supported clients
Cursor
Settings → MCP Servers → Add
Claude Desktop
claude_desktop_config.json
Windsurf
MCP Settings
Codex
CLI command
All tools
Every Appeeky capability, exposed as MCP
Your agent can call any of these from natural language — no wrapper code, no glue layer required.
Keyword Research
Get keyword suggestions, search volume, difficulty scores, and rank history for any app — by country and device.
ASO Audit
Full health score for any app with prioritized issues: title gaps, keyword waste, duplicate terms, and missing localizations.
Competitor Gap Analysis
Discover keywords competitors rank for that you don't — filtered by difficulty so you target only winnable terms.
AI Metadata Suggestions
Generate optimized title, subtitle, and keyword fields for the App Store and Google Play, with character counts.
Review & Sentiment
Pull recent reviews, extract sentiment scores, and surface recurring themes to prioritize in your next release.
Top Charts & Trends
Fetch category charts, track movers, and identify breakout apps before they dominate search — by country and chart type.
App Intelligence
Inspect any app's full profile: metadata, ratings, rank timeline, screenshots, developer info, and download estimates.
Keyword Performance
Track how your tracked keywords move over time — daily snapshots with volume and difficulty scoring by country.
Market Movers
Get the biggest rank gainers, losers, new entries, and drop-outs across any chart type and market.
Metadata Validation
Validate title, subtitle, and keyword fields against App Store and Google Play limits before you submit.
AI Strategy Chat
Ask open-ended ASO questions grounded in your real app data — not recycled advice. Get specific, actionable answers.
Full REST API
Every MCP tool is backed by the same Appeeky REST API — documented at docs.appeeky.com for direct integration.
FAQ
Common questions
What is MCP?
Model Context Protocol is an open standard that lets AI agents like Claude and Cursor connect to external data sources. By adding Appeeky as an MCP server, your agent can query live App Store data on demand without you writing any integration code.
Which AI clients are supported?
Any client that supports SSE-based MCP transport: Cursor, Claude Desktop, Windsurf, Codex CLI, and any custom agent built with the MCP SDK. New clients are added as the ecosystem grows.
Do I need a paid plan to use the MCP server?
The free tier gives you limited MCP calls per month — enough to explore the tools. Pro and higher plans unlock full daily quotas and all endpoints.
Is my App Store data sent to the AI model?
Appeeky returns data to your MCP client, which then shares it with the model as part of the conversation context. No data is stored by Appeeky on behalf of the model provider.
Can I use the REST API directly instead of MCP?
Yes — every MCP tool maps 1:1 to a documented REST endpoint at docs.appeeky.com. Use whichever integration style fits your workflow.