# openaso [Health: Active]

**Category:** 🔒 Security  
**Repository:** https://github.com/xekor/openaso-mcp  
**GitHub Stars:** 0  
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**Installs:** 0  
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**Directory Page:** https://allmcps.com/mcp/openaso

## Description
App Store Optimization for AI agents: keyword ranks, suggestions, popularity, competitors, reviews

## Tools
Capabilities this server exposes over MCP:

- **rank** — An app's position in App Store search results for a keyword (top 200), per storefront.
- **suggest** — App Store search-autocomplete suggestions for a seed term — the terms Apple itself suggests.
- **volume** — Keyword demand (popularity 0–100, Apple Search Ads popularity where available) plus competition count.
- **competitors** — Top-ranking apps for a keyword: position, ratings, genre, keyword-in-title.
- **app** — Metadata for one app per storefront, including whether it is available there.
- **audit** — One-call ASO research bundle: current listing, indexed word pool, autocomplete-discovered keyword candidates scored for demand and competition.
- **coverage** — Which search phrases a metadata draft can rank for — computed locally from the title/subtitle/keyword-field word pool, no network.
- **reviews** — Recent customer reviews from Apple's public RSS: rating distribution, average, texts.
- **charts** — Position on the top-free, top-paid and top-grossing charts (top 100), per storefront.
- **revenue** — Order-of-magnitude revenue estimate modeled from public top-grossing chart rank.
- **track_config** — Manage the account's tracked set of (app × keyword × storefront) combinations.
- **track** — Snapshot ranks for everything in the tracked set, on demand.
- **history** — Server-side rank history — written by `track` and by the managed daily tracking run.

## Claude Desktop Quick Installation
Remote MCP endpoint (confidence: high). Install path detected from listing signals. Add as a URL/SSE server in your client:

```json
"mcpServers": {
  "openaso": {
    "url": "https://modelcontextprotocol.io"
  }
}
```

## Documentation & README

# openaso — App Store Optimization for AI agents

openaso is a hosted [MCP](https://modelcontextprotocol.io) server that gives AI agents real App Store
Optimization data from Apple's public app-store APIs: keyword ranks, search-autocomplete
suggestions, keyword popularity (real Apple Search Ads popularity where available), competitor
intelligence, review mining, chart positions, local metadata keyword-coverage analysis, and
account-scoped daily rank tracking.

- **Website / signup:** <https://openaso.ai>
- **Endpoint:** `https://mcp.openaso.ai/mcp` (Streamable HTTP, stateless)
- **Official MCP registry:** [`ai.openaso/openaso`](https://registry.modelcontextprotocol.io/v0.1/servers/ai.openaso%2Fopenaso/versions/latest)
- **Docs:** <https://openaso.ai/docs> · tool contracts: <https://openaso.ai/tools>
- **Agent-readable docs:** <https://openaso.ai/llms.txt> and <https://openaso.ai/llms-full.txt>
  (every docs page is also served as markdown at its URL + `.md`)

> This repository is the public home of openaso: connection docs, examples, and the
> [issue tracker](https://github.com/xekor/openaso-mcp/issues). The server's source code is
> proprietary and is not published here.

## Quick start

1. Create a free account and mint an API key at <https://openaso.ai> (free tier: 500 tool
   calls/day, 500 tracked app × keyword × storefront combinations).
2. Connect your client.

**Claude Code**

```sh
claude mcp add openaso --transport http https://mcp.openaso.ai/mcp \
    --header "Authorization: Bearer YOUR_KEY"
```

**Any MCP client (JSON config)**

```json
{
  "mcpServers": {
    "openaso": {
      "url": "https://mcp.openaso.ai/mcp",
      "headers": { "Authorization": "Bearer YOUR_KEY" }
    }
  }
}
```

Authentication is `Authorization: Bearer <key>` (an `x-api-key` header also works).

## Tools

Everything is per-storefront: ranks, availability, suggestions and popularity differ by country,
so tools take an explicit `countries` list (default `["US"]`).

| Tool | What it returns |
| --- | --- |
| `rank` | An app's position in App Store search results for a keyword (top 200), per storefront. |
| `suggest` | App Store search-autocomplete suggestions for a seed term — the terms Apple itself suggests. |
| `volume` | Keyword demand (popularity 0–100, Apple Search Ads popularity where available) plus competition count. |
| `competitors` | Top-ranking apps for a keyword: position, ratings, genre, keyword-in-title. |
| `app` | Metadata for one app per storefront, including whether it is available there. |
| `audit` | One-call ASO research bundle: current listing, indexed word pool, autocomplete-discovered keyword candidates scored for demand and competition. |
| `coverage` | Which search phrases a metadata draft can rank for — computed locally from the title/subtitle/keyword-field word pool, no network. |
| `reviews` | Recent customer reviews from Apple's public RSS: rating distribution, average, texts. |
| `charts` | Position on the top-free, top-paid and top-grossing charts (top 100), per storefront. |
| `revenue` | Order-of-magnitude revenue estimate modeled from public top-grossing chart rank. |
| `track_config` | Manage the account's tracked set of (app × keyword × storefront) combinations. |
| `track` | Snapshot ranks for everything in the tracked set, on demand. |
| `history` | Server-side rank history — written by `track` and by the managed daily tracking run. |

## Why agents like it

Apple indexes an app's title (30 chars), subtitle (30) and hidden keyword field (100) as **one
combined word pool** — an app can rank for any query assembled from words across those fields.
openaso's tools are built around that model: `audit` finds the candidates, `coverage` scores a
draft's pool locally, `rank`/`volume` verify against the real store. The full model is explained
in the [docs](https://openaso.ai/docs) (agents: [`llms.txt`](https://openaso.ai/llms.txt)).

## Support

- Bugs and feature requests: [issues](https://github.com/xekor/openaso-mcp/issues)
- Email: <hector@instasize.com>

## Legal

© 2026 Hector Lopez. All rights reserved. openaso is not affiliated with, endorsed by, or
sponsored by Apple Inc. App Store® and iTunes® are trademarks of Apple Inc. Data is retrieved
from Apple's public endpoints; you are responsible for using it in compliance with Apple's terms.