# AppRanks MCP Server

> Use this tool when you need to retrieve live App Store data, such as rankings, charts, and app details, to inform user queries or power app discovery features. It solves problems related to app store data access and analysis, providing insights across 55 countries. The tool accepts queries and returns relevant app store data, making it ideal for AI assistants seeking to provide accurate and up-to-date app information.

Canonical page: https://skillsregistry.net/skills/kanzelsberger-appranks  
JSON: https://api.skillsregistry.net/v1/skills/kanzelsberger-appranks

## Description

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

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/avz56mek73)
- **Repository:** <https://github.com/kanzelsberger/AppRanks>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "kanzelsberger-appranks"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kanzelsberger-appranks` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kanzelsberger-appranks/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt