App Market Intelligence
A

App Market Intelligence

An MCP service that provides market intelligence analysis for the Apple App Store and Google Play Store, supporting multi-dimensional data such as app details, search, developer information, and user reviews.
2.5 points
8.7K

What is App Market Intelligence MCP?

This is a professional mobile app market analysis service that integrates data from the Apple App Store and Google Play Store to provide users with comprehensive market intelligence, including app details, market trends, competitor analysis, and user feedback.

How to use App Market Intelligence MCP?

You can access various analysis tools using any compatible MCP client (such as Claude Desktop) after starting the MCP server. It supports multiple installation methods, including Docker and NPX.

Use cases

It is suitable for various scenarios, such as app developers conducting competitor analysis, market researchers tracking app market trends, product managers understanding user feedback, and investors evaluating app potential.

Main features

App Store data analysis
Support complete functions such as querying app details, searching for apps, obtaining developer information, viewing privacy details, getting search suggestions, finding similar apps, viewing reviews and ratings, and version history.
Google Play data analysis
Support complete functions such as querying app details, searching for apps, obtaining developer information, getting search suggestions, viewing reviews, finding similar apps, viewing permission information, data security details, and category lists.
Cross-platform analysis
It can simultaneously compare and analyze app data on the App Store and Google Play, providing a comprehensive market perspective.
Advantages
Comprehensive API coverage, supporting the core functions of the two major mainstream app stores
Simple and easy-to-use JSON interface format
Support for multiple deployment methods (Docker/NPX)
A perfect error handling and prompt mechanism
Limitations
Basic command-line knowledge is required for deployment
Some advanced functions may require an API key
Query results may be affected by official API limitations

How to use

Install the service
Choose the installation method that suits you: Docker or NPX
Start the service
Run the service for client connection
Configure the client
Configure the server connection in your MCP client (such as Claude Desktop)
Start querying
Use the provided tools for app market data analysis

Usage examples

Get popular free iOS apps
Query the list of currently most popular free apps on the App Store
Analyze Android competitor apps
Query information about competitor apps similar to the target app

Frequently Asked Questions

How to install this service?
Is an API key required?
Which clients are supported?
What is the data update frequency?

Related resources

Smithery Installation Guide
A guide to automatically install the service through Smithery
MCP Protocol Documentation
The official documentation of the MCP protocol
GitHub Repository
Project source code and issue tracking

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "app-insight-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "app-insight-mcp"
      ]
    }
  }
}

{
  "mcpServers": {
    "app-insight-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@jeromyfu/app-insight-mcp"
      ]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
9.4K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
10.1K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
5.6K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
9.2K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
8.6K
5 points
P
Praisonai
PraisonAI is a production-ready multi-AI agent framework with self-reflection capabilities, designed to create AI agents to automate the solution of various problems from simple tasks to complex challenges. It simplifies the construction and management of multi-agent LLM systems by integrating PraisonAI agents, AG2, and CrewAI into a low-code solution, emphasizing simplicity, customization, and effective human-machine collaboration.
Python
8.9K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
9.1K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
8.2K
4 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
19.1K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
31.3K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
22.9K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
64.2K
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
59.8K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
28.3K
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
19.8K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
89.0K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase