App Store ScraperCAUTION

This is an MCP (Model Context Protocol) server that provides tools for searching and analyzing apps from both the Google Play Store and Apple App Store.

Perfect for ASO (App Store Search Optimization).

Built by AppReply.co.

Installation

# Clone the repository
git clone https://github.com/appreply-co/mcp-appstore.git
cd mcp-appstore

# Install dependencies
npm install

Running the Server

npm start

This will start the server in studio mode, which is compatible with MCP clients.

Claude Code: Add to .mcp.json or your MCP config (path must be absolute; on Windows you can use forward slashes):

{
"mcpServers": {
"mcp-appstore": {
"command": "node",
"args": ["/absolute/path/to/mcp-appstore/server.js"]
}
}
}

Or: claude mcp add --transport stdio mcp-appstore -- node /absolute/path/to/mcp-appstore/server.js

Claude Desktop: Same mcpServers entry in claude_desktop_config.json (see Claude’s docs for the file path on your OS).

Available Tools

The server provides the following tools:

1. search_app

Search for apps by name and platform.

Parameters:

• term: The search term to look up
• platform: The platform to search on (ios or android)
• num (optional): Number of results to return (default: 10, max: 250)
• country (optional): Two-letter country code (default: "us")

Example usage:

const result = await client.callTool({
name: "search_app",
arguments: {
term: "spotify",
platform: "android",
num: 5
}
});

Response:

{
"query": "spotify",
"platform": "android",
"results": [
{
"id": "com.spotify.music",
"appId": "com.spotify.music",
"title": "Spotify: Music and Podcasts",
"developer": "Spotify AB",
"developerId": "Spotify+AB",
"icon": "https://play-lh.googleusercontent.com/...",
"score": 4.3,
"scoreText": "4