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Storelift

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App Store & Google Play keyword ranks, rivals and AI visibility as an MCP server

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Описание

App Store & Google Play keyword ranks, rivals and AI visibility as an MCP server

README

App Store & Google Play ranking data as an MCP server. Ask your assistant which keywords you dropped on, who outranks you, and whether AI assistants mention your app at all — without opening a dashboard.

Backed by Storelift, which measures keyword ranks, rivals and AI visibility nightly. No store credentials required — ranks are read from the public storefront.

Requirements

  • A Pro or Studio plan (the Public API is enabled on both)
  • An API key: Storelift → Settings → API keys → Generate key

Install

Claude Code:

claude mcp add storelift -e STORELIFT_API_KEY=sl_live_... -- npx -y storelift-mcp

Claude Desktop (claude_desktop_config.json):

{
  "mcpServers": {
    "storelift": {
      "command": "npx",
      "args": ["-y", "storelift-mcp"],
      "env": { "STORELIFT_API_KEY": "sl_live_..." }
    }
  }
}

Hosted, with nothing to install — https://storelift.net/mcp over Streamable HTTP. Clients that support MCP authorization (Claude.ai custom connectors, Claude Code's /mcp) sign you in to Storelift with OAuth and ask you to approve access; no key to paste:

claude mcp add --transport http storelift https://storelift.net/mcp

Clients without OAuth can send the API key as a header instead:

claude mcp add --transport http storelift https://storelift.net/mcp --header "Authorization: Bearer sl_live_..."

Tools

Tool Returns
list_apps tracked apps (id, name, countries, keywords)
get_keywords keyword ranks for one app in one country
get_rivals apps ranking above you, with their rank and yours
get_ai_visibility whether assistants name your app, per engine (Claude / ChatGPT / Gemini)
get_history rank history, [day, rank] points
get_store_page your own listing signals + the Google Play page, with a dated change timeline
get_reviews recent App Store and Google Play reviews, and how many are new since last measurement
get_charts App Store chart position per list, with history

Prompts

Five ready-made questions, served through prompts/list:

  • keywords_lost_ground — which US keywords lost ground this week, and who is above you now
  • leader_listing — title, subtitle and keyword field of the app ranking first on your main keyword
  • crash_reviews — recent reviews that mention a crash or a bug
  • category_chart — where your app sits in its category chart in Turkey
  • ai_visibility — whether assistants name your app for its category (data on the Studio plan)

Reading the data

Keyword results carry three distinct states, and they are not the same thing:

  • measured: false — the query could not be measured
  • rank: null (with measured: true) — measured, but absent from the top results
  • rank: <number> — the rank

Counting an unmeasured day as zero produces a false chart. The tool descriptions repeat this so the model does not flatten the three into one.

A rank move usually has its explanation somewhere other than the rank: a version that shipped that day, a wave of one-star reviews, a chart drop. get_store_page, get_reviews and get_charts exist so the model can look there instead of explaining everything with the one number it can see.

Google Play is absent from get_charts on purpose: Google publishes no chart list, so there is nothing to read and a number here would be invented.

AI visibility is an observation, not a ranking: a model's knowledge is frozen at a date and the answer is not identical every time. Read the trend, not a single measurement.

Configuration

Variable Default Purpose
STORELIFT_API_KEY required for tool calls; without it the server still starts and lists its tools, and every call returns an error saying how to get a key
STORELIFT_API https://storelift.net override the API base

No dependencies — a single file speaking JSON-RPC over stdio. Runs with node index.mjs just as well as through npx.

Registry

Published to the official MCP Registry as net.storelift/storelift. The manifest is server.json in this repo.

Source

github.com/vom-core/storelift-mcp — one file, no dependencies. Read it before you run it.

License

MIT

from github.com/vom-core/storelift-mcp

Установить Storelift в Claude Desktop, Claude Code, Cursor

Рекомендуется · одна команда, все IDE
unyly install storelift

Ставит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.

Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh

Или настроить вручную

Выполни в терминале:

claude mcp add storelift --env STORELIFT_API_KEY="" -- npx -y storelift-mcp

Пошаговые гайды: как установить Storelift

FAQ

Storelift MCP бесплатный?

Да, Storelift MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Storelift?

Да, требуются переменные окружения: STORELIFT_API_KEY. Unyly подставит их в конфиг при установке.

Storelift — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить Storelift в Claude Desktop, Claude Code или Cursor?

Открой Storelift на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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