# App Store charts in 115 regions: an MCP database you can query from Claude Code or Cursor

> Source: https://stringers.io/en/tools/app-store-charts.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, Top Paid and Top Grossing (top 200) for 115 storefronts and 46 categories, snapshotted daily, plus rating counts, reviews and new releases. Connect it to your own agent over MCP and ask in plain language.

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# App Store charts in 115 regions: an MCP database you can query from Claude Code or Cursor

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

Top Free, Top Paid and Top Grossing (top 200) for 115 storefronts and 46 categories, snapshotted daily, plus rating counts, reviews and new releases.

## What you can ask

- Who climbed the US Top Grossing chart fastest this week, and who is new on it?

- Which small-team apps released in the last three months already made a category grossing chart?

- How do these two competitors rank by country, and what do their low-star reviews complain about?

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="appstore", args="movers us grossing --top 200")
```

Biggest 7-day climbers inside the US Top Grossing 200, first 8 rows:

| rank_now | rank_before | status | name | developer_name | release_date | rating_velocity_7d |
|---|---|---|---|---|---|---|
| 134 |  | 新进榜 | VibeShort: AI Short Dramas | AGILE QUADRANT MEDIA LIMITED | 2026-02-25 | 1434 |
| 153 |  | 新进榜 | FlickReels - AI Story & Drama | FARSUN PTE. LTD. | 2024-07-17 | 1001 |
| 146 | 193 | 上升 | Hatch Sleep | Hatch Baby, Inc. | 2017-01-23 | 42 |
| 160 |  | 新进榜 | Inkitt CandyJar: TV & Shorts | Inkitt | 2023-11-07 | 499 |
| 9 | 49 | 上升 | Pokémon GO | Scopely Explore, Inc. | 2016-07-05 | 465 |
| 150 | 189 | 上升 | MileIQ: Mileage Tracker & Log | MileIQ Inc. | 2012-12-15 | 461 |
| 42 | 72 | 上升 | NFL | NFL Enterprises LLC | 2010-09-10 | 59 |
| 54 | 82 | 上升 | The Zeus Network | The Zeus Networks | 2018-07-30 | 376 |

## How fresh the data is

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

| 表 | 行数 | 从 | 到 | 区 / 说明 |
|---|---|---|---|---|
| chart_rank | 38845170 | 2026-10-28 | 2026-11-11 | 115 个区: ae,ai,am,ao,ar,at,au,az,bb,be,bg,bh,bm,bn,bo,br,bw,by,… |
| app_snapshot | 28495379 | 2026-10-28 | 2026-11-11 | 123 个区: ae,ai,am,ao,ar,at,au,az,bb,be,bg,bh,bm,bn,bo,br,bw,by,… |
| app_day | 28651489 | 2026-10-28 | 2026-11-11 | 123 个区: ae,ai,am,ao,ar,at,au,az,bb,be,bg,bh,bm,bn,bo,br,bw,by,… |
| app_profile | 1809573 |  |  | 115 个区: ae,ai,am,ao,ar,at,au,az,bb,be,bg,bh,bm,bn,bo,br,bw,by,… |
| app | 1917330 | 2026-10-28 | 2026-11-11 | 123 个区: ae,ai,am,ao,ar,at,au,az,bb,be,bg,bh,bm,bn,bo,br,bw,by,… |
| review | 8616832 | 2008-07-10 | 2026-11-09 | 22 个区: au,br,ca,cn,de,es,fr,gb,hk,id,in,it,jp,kr,mx,ru,sa,th,t… |

## Limits: what this data cannot tell you

Apple discloses neither downloads nor revenue: rank and rating velocity are relative signals. Apps that never charted are not in the database.

**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-app-store-charts)

## 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 "appstore".

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

## Workflows that use this database

- [Product research with Claude Code or Cursor](https://stringers.io/en/tools/product-research-with-claude-code.md)

- [Find apps and open-source projects that are rising now](https://stringers.io/en/tools/find-rising-apps.md)

## 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)

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

- [Mac App Store charts](https://stringers.io/en/tools/mac-app-store.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)