M

MCP Appstore

This is an MCP server project that provides tools for searching and analyzing applications from the Google Play Store and Apple App Store, focusing on App Store Search Optimization (ASO).
2 points
3

What is the App Store Scraper MCP Server?

This is a service based on the Model Context Protocol (MCP), specifically designed to obtain application data from the Google Play Store and Apple App Store. It offers 17 professional tools covering functions such as application search, detail retrieval, review analysis, and keyword optimization. It is an ideal tool for App Store Optimization (ASO).

How to use this service?

All functions can be accessed through simple API calls. You can use an MCP client to connect to the server or directly call the provided tool interfaces. The service supports calls in multiple languages such as JavaScript/TypeScript.

Use cases

Suitable for application developers, market analysts, ASO experts, and other professionals who need to obtain app store data, analyze competitors, and optimize keyword rankings.

Main features

Application searchSearch for applications by name and platform, supporting result quantity and country/region filtering.
Application detailsGet the complete detailed information of an application, including description, rating, screenshots, etc.
Review analysisAnalyze application reviews to extract user sentiment and key insights.
Keyword optimizationProvide multiple keyword suggestion strategies to help optimize ASO.
Developer informationGet the complete information and application portfolio of developers/publishers.

Advantages and limitations

Advantages
Obtain data from two major app stores in one stop
17 professional tools cover all ASO process requirements
Simple and easy-to-use API interface
Built-in cache mechanism to improve performance
Support multi-language and regional settings
Limitations
Limited access to some historical data (e.g., Android version history)
Large-scale data analysis may take a long time
The current keyword scores are simulated data rather than real-time data

How to use

Install the service
Clone the repository and install dependencies
Start the server
Start the server in studio mode
Connect the client
Use an MCP client to connect to the server

Usage examples

Competitor analysisAnalyze the ratings, reviews, and keyword strategies of competitor applications
User feedback analysisAnalyze user reviews to find product improvement points
ASO optimizationFind high-value keywords to optimize app store listings

Frequently Asked Questions

Is it necessary to pay for use?
What is the data update frequency?
Does it support batch operations?
How to obtain historical data?

Related resources

MCP official documentation
Detailed documentation of the Model Context Protocol
GitHub repository
Project source code and issue tracking
ASO optimization guide
Practical tips for app store optimization
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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