AppRanks MCP Server

AppRanks MCP Server

Provides live App Store rankings, charts, app details, reviews, and search across 55 countries, enabling AI assistants to query app store data.

Category
Visit Server

README

AppRanks MCP Server

An MCP (Model Context Protocol) server that provides live App Store rankings data from AppRanks.app.

Browse charts, search apps, view rankings, read reviews — all from your AI assistant.

Tools

Tool Description
get_chart Browse App Store charts (top free, paid, grossing) by country, platform, category
search_apps Search apps by name or developer
get_app Get app details with current rankings across all countries
get_rank_history View ranking history over time
get_reviews Read App Store reviews by country
list_countries List all 55 supported countries
list_categories List all App Store categories with IDs

Coverage

  • 55 countries across Americas, Europe, Middle East, Africa, and Asia Pacific
  • 4 platforms: iPhone, iPad, Mac, Apple TV
  • 43 categories including game subcategories
  • 3 chart types: Top Free, Top Paid, Top Grossing
  • Updated every 4 hours

Setup

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "appranks": {
      "command": "npx",
      "args": ["-y", "@appranks.app/mcp-server"]
    }
  }
}

Claude Code

claude mcp add appranks -- npx -y @appranks.app/mcp-server

Manual

npx @appranks.app/mcp-server

Examples

Ask your AI assistant:

  • "What are the top 10 free iPhone apps in Japan?"
  • "Search for weather apps"
  • "Show me Netflix's rankings across all countries"
  • "What's the ranking history for Spotify in the US over the last 30 days?"
  • "Show me 1-star reviews for TikTok in Germany"

Configuration

Environment Variable Default Description
APPRANKS_API_URL https://appranks.app/api/v1 API base URL

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured