Hosted MCP server for App Store Optimization: keyword ranks, suggestions, Apple Search Ads popularity, competitors, reviews, coverage, rank tracking
git clone https://github.com/xekor/openaso-mcp{
"mcpServers": {
"openaso-mcp": {
"command": "node",
"args": ["/path/to/openaso-mcp/dist/index.js"]
}
}
}MCP Servers overview
# 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.
What people ask about openaso-mcp
What is xekor/openaso-mcp?
+
xekor/openaso-mcp is mcp servers for the Claude AI ecosystem. Hosted MCP server for App Store Optimization: keyword ranks, suggestions, Apple Search Ads popularity, competitors, reviews, coverage, rank tracking It has 0 GitHub stars and was last updated today.
How do I install openaso-mcp?
+
You can install openaso-mcp by cloning the repository (https://github.com/xekor/openaso-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is xekor/openaso-mcp safe to use?
+
xekor/openaso-mcp has not been audited yet by our security agent. Review the original repository on GitHub before using it in production.
Who maintains xekor/openaso-mcp?
+
xekor/openaso-mcp is maintained by xekor. The last recorded GitHub activity is from today, with 0 open issues.
Are there alternatives to openaso-mcp?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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