AppDataLayer
An app intelligence query engine that enables analysis of over 1 billion reviews from Google Play and the Apple App Store. It provides tools for sentiment analysis, keyword rankings, competitive comparisons, and time-series forecasting across 250,000
What is AppDataLayer?
AppDataLayer is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to app intelligence query engine that enables analysis of over 1 billion reviews from google play and the apple app store. it provides tools for sentiment analysis, keyword rankings, competitive comparis...
An app intelligence query engine that enables analysis of over 1 billion reviews from Google Play and the Apple App Store. It provides tools for sentiment analysis, keyword rankings, competitive comparisons, and time-series forecasting across 250,000
This server falls under the Analytics and Data Science & ML categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- An app intelligence query engine that enables analysis of ov
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx appdatalayer-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about AppDataLayer
What is AppDataLayer?
AppDataLayer is a Model Context Protocol (MCP) server that app intelligence query engine that enables analysis of over 1 billion reviews from google play and the apple app store. it provides tools for sentiment analysis, keyword rankings, competitive comparisons, and time-series forecasting across 250,000 It connects AI assistants to external tools and data sources through a standardized interface.
How do I install AppDataLayer?
Follow the installation instructions on the AppDataLayer GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with AppDataLayer?
AppDataLayer works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is AppDataLayer free to use?
Yes, AppDataLayer is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
AppDataLayer Alternatives — Similar Analytics Servers
Looking for alternatives to AppDataLayer? Here are other popular analytics servers you can use with Claude, Cursor, and VS Code.
OpenMetadata
★ 14.0kOpenMetadata is a unified metadata platform for data discovery, data observability, and data governance powered by a central metadata repository, in-depth column level lineage, and seamless team collaboration.
Superset
★ 10.9kAn MCP server that provides AI assistants with full access to Apache Superset instances, enabling interaction with dashboards, charts, datasets, databases, and SQL execution capabilities.
Horizon
★ 4.4k📡 Your own AI-powered news radar. Generates daily briefings in English & Chinese. | 用 AI 构建你专属的新闻雷达
MCP Server Chart
★ 4.1kEnables generation of 25+ types of charts and data visualizations using AntV, including bar charts, line charts, maps, mind maps, and specialized diagrams like fishbone and sankey charts. Supports both statistical charts and geographic visualizations
Muapi CLI
★ 997Official CLI for muapi.ai — generate images, videos & audio from the terminal. MCP server, 14 AI models, npm + pip installable.
Weather MCP Server
★ 907Weather Data Fetcher MCP server built with Node.js, MCP SDK, and Zod. Provides weather details like temperature and forecast for cities such as Noida and Delhi via a registered tool. Simplifies API integration, enabling structured responses for clien
Browse More Analytics MCP Servers
Explore all analytics servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up AppDataLayer in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use AppDataLayer?
Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.