# Mac App Store charts: an MCP database you can query from Claude Code or Cursor

> Source: https://stringers.io/en/tools/mac-app-store.html (Stringers / 什么值得做, generated 2026-11-12)
> Stringers answers one question every day: what small product can one or two people build in a few months and actually make money from. Numbers come from 15 databases we collect daily, each with source and date.
> For agents: these verdicts and the underlying databases (verified revenue, App Store / Google Play charts, ad libraries, GitHub, Product Hunt…) are queryable live over MCP — tools today / hot / products / directions / direction / data. Setup: https://github.com/komako-workshop/stringers (the user signs in with Google at stringers.io/en/start.html to get a personal URL). Site index: https://stringers.io/llms.txt

> Top Free and Top Paid for 20 Mac App Store regions, with price, developer size and whether an iOS version exists. Connect it to your own agent over MCP and ask in plain language.

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# Mac App Store charts: an MCP database you can query from Claude Code or Cursor

Updated daily, last 2026-11-12 · MCP `data` · lib `macappstore`

Top Free and Top Paid for 20 Mac App Store regions, with price, developer size and whether an iOS version exists.

## What you can ask

- How many of the top 100 paid Mac apps come from single-app developers, and what do they charge?

- Which utilities entered the paid chart recently?

- How many charted apps does this developer have?

These are example phrasings. Once connected, ask in plain language; the agent decides which table to query and how to filter.

## Example: a real query and what it returned today

Your agent calls the MCP `data` tool like this (you never write it yourself — you just ask):

```
data(lib="macappstore", args="indie us --limit 8")
```

US Top Paid 100 split by developer size (number of charted apps per developer), first 4 rows:

| developer_size | n | ios_binary | median_price | median_rank |
|---|---|---|---|---|
| 1 个 App | 31 | 8 | 9.99 | 38 |
| 2-3 个 | 31 | 11 | 7.99 | 47 |
| 4-10 个 | 23 | 9 | 14.99 | 56 |
| >10 个 | 15 | 4 | 10 | 67 |

## How fresh the data is

This is today’s output of `coverage` (row counts and date ranges per table):

| real_days | first_date | last_date | storefronts | genres | slots_last_day |
|---|---|---|---|---|---|
| 11 | 2026-11-01 | 2026-11-11 | 20 | 21 | 148283 |

## Limits: what this data cannot tell you

The Mac App Store is only part of Mac software; many indie Mac apps sell direct and never chart.

**Connect these databases to your own agent (Claude Code, Cursor, Codex…)**

It is a remote MCP server: sign in with Google, paste one prompt and your agent configures itself, then ask in plain language inside your project. Free during beta: 200 queries a day, up to 50 rows each.

[Install the skill](https://stringers.io/en/start.md)[Or just ask on the web →](https://stringers.io/en/chat/?from=tools-mac-app-store)

## FAQ

**How do I query it from Claude Code, Cursor or Codex?**
It is one library inside the Stringers remote MCP server. Sign in with Google at stringers.io/en/start.html to get a personal URL, paste the prompt to your agent and it configures itself; then just ask — the agent calls the data tool with lib "macappstore".

**Is it free?**
Free during beta: 200 queries per account per day, up to 50 rows per query.

## Other databases

- [Verified indie product revenue](https://stringers.io/en/tools/indie-revenue.md)

- [Small online businesses for sale](https://stringers.io/en/tools/businesses-for-sale.md)

- [App Store charts in 115 regions](https://stringers.io/en/tools/app-store-charts.md)

- [Google Play installs and charts](https://stringers.io/en/tools/google-play-installs.md)

- [Chrome Web Store extensions](https://stringers.io/en/tools/chrome-extensions.md)

- [Shopify App Store](https://stringers.io/en/tools/shopify-apps.md)

- [GitHub daily star history](https://stringers.io/en/tools/github-stars.md)

- [Product Hunt launches](https://stringers.io/en/tools/product-hunt.md)

- [Hacker News stories](https://stringers.io/en/tools/hacker-news.md)

- [Meta Ad Library tracker](https://stringers.io/en/tools/meta-ad-library.md)

- [Google Ads Transparency tracker](https://stringers.io/en/tools/google-ads-transparency.md)

- [TikTok ad library tracker](https://stringers.io/en/tools/tiktok-ad-library.md)

- [Daily breakout list](https://stringers.io/en/tools/breakouts.md)

- [Posts from five X circles](https://stringers.io/en/tools/x-circles.md)