storelift-mcp

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, same key in an Authorization: Bearer header (no OAuth sign-in yet, so the client must let you set a header):

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

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