# mcp

> mcp — asoatlas-mcp. Use this tool when you need to optimize your app's visibility in the App Store through keyword research and rank tracking. It solves problems related to app discovery and performance monitoring, providing valuable insights to inform your app's marketing strategy. The mcp tool accepts inputs such as app identifiers and keywords, and outputs performance metrics and ranking data to help you refine your app's listing.

Canonical page: https://skillsregistry.net/skills/asoatlas-mcp  
JSON: https://api.skillsregistry.net/v1/skills/asoatlas-mcp

## Description

ASO Atlas MCP server: App Store keyword research, rank tracking and App Store Connect performance for your AI assistant

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/asoatlas/mcp)

## 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": "asoatlas-mcp"
    }
  }
}
```

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

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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