openaso

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

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

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: [email protected]

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.