App Store Scraper MCP Server

What is App Store Scraper MCP Server?

An MCP server that provides tools for searching and analyzing apps from both the Google Play Store and Apple App Store. It is built by AppReply.co and is aimed at ASO (App Store Search Optimization) tasks.

How to use App Store Scraper MCP Server?

Clone the repository, install dependencies with npm install, and run npm start to start the server in studio mode. Add the server to your MCP client configuration (e.g., .mcp.json for Claude Code or claude_desktop_config.json for Claude Desktop) using the node command with the absolute path to server.js.

Key features of App Store Scraper MCP Server

• Search apps by name across iOS and Android platforms
• Get detailed app information including ratings, reviews, and metadata
• Analyze top keywords with brand presence and competition metrics
• Analyze app reviews for sentiment, common themes, and keyword frequency
• Fetch raw reviews with support for developer responses on Android
• Find similar or related apps for both platforms

Use cases of App Store Scraper MCP Server

• Perform App Store Search Optimization (ASO) keyword research
• Analyze competitor apps' ratings, reviews, and sentiment
• Monitor app market trends and category distribution
• Extract raw user reviews for qualitative analysis

FAQ from App Store Scraper MCP Server

What platforms does the server support?

It supports both the Google Play Store (Android) and Apple App Store (iOS).

How do I configure the server for Claude Desktop or Claude Code?

Add an mcpServers entry to your configuration file with command: "node" and args including the absolute path to server.js. For Claude Code, you can also use claude mcp add --transport stdio.

What parameters are required for the search_app tool?

You need to provide a term (search term) and platform ("ios" or "android"). Optional parameters include num (results count, default 10, max 250) and country (two-letter code, default "us").

Can I fetch reviews with developer responses?

Yes, the fetch_reviews tool returns raw reviews and includes replyDate and replyText fields for Android apps where the developer has responded.

What is the maximum number of reviews that can be analyzed?

For the analyze_reviews tool, the default is 100 reviews, with a maximum of 1000. For fetch_reviews, default is 100, max 1000.