The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Openaso listing page.
openaso is a hosted MCP 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.
https://mcp.openaso.ai/mcp (Streamable HTTP, stateless)ai.openaso/openaso.md)This repository is the public home of openaso: connection docs, examples, and the issue tracker. The server's source code is proprietary and is not published here.
Claude Code
Any MCP client (JSON config)
Authentication is Authorization: Bearer <key> (an x-api-key header also works).
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. |
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 (agents: llms.txt).
© 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.