openaso — App Store Optimization for AI agents

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.

Website / signup: https://openaso.ai
Endpoint: https://mcp.openaso.ai/mcp (Streamable HTTP, stateless)
Official MCP registry: ai.openaso/openaso
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. The server's source code is proprietary and is not published here.

Quick start

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).
Connect your client.

Claude Code

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

Any MCP client (JSON config)

{
  "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 (agents: llms.txt).

Support

Bugs and feature requests: 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.

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