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 Studio plan (the Public API is enabled on that plan)
• 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_..." }
    }
  }
}

Tools

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.

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

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