App Store and Google Play Review Monitor MCP Server

An MCP server for the Mamba Labs App Store and Google Play Review Monitor actor on Apify. Give it apps. It returns their reviews by country store, newest first, and on a schedule only the reviews posted since the last run.

What's Inside

What it does
Quick start
Prerequisites
Example prompts
Tool
Inputs
Pricing
Your keys
Full actor documentation
License

What it does

Reviews: Apple App Store and Google Play, in one row layout: stars, title, text, author, app version, date, helpful votes, and the developer reply where Google Play shows one.
Only new reviews: with a state_key, each run skips the reviews an earlier run returned, per app and country.
Rating trend: one app_summary row per app and country store with the app rating, rating count, the change since the last run, and the star split of the new reviews.
Developer domain: every row carries the developer name, website, and domain.

Input with no app comes back as one free row whose error_reason starts with input_invalid:.

All of the work runs on Apify. This package is a thin client that starts the actor run, waits for it, and hands back the dataset rows.

Quick start

You need Node.js 18 or newer and an Apify account with an API token.

Add this to your Claude Desktop config (claude_desktop_config.json), Cursor, or any MCP client:

{
  "mcpServers": {
    "mamba-app-store-google-play-review-monitor": {
      "command": "npx",
      "args": [
        "-y",
        "@mambalabsdev/mcp-app-store-google-play-review-monitor"
      ],
      "env": {
        "APIFY_TOKEN": "your-apify-token"
      }
    }
  }
}

Restart the client. The monitor_app_reviews tool appears.

Prerequisites

Node.js 18 or newer.
An Apify API token from console.apify.com/account/integrations, set as APIFY_TOKEN. The server lists its tool without a token; a call needs one.

Example prompts

"Pull the 50 newest App Store and Google Play reviews for Slack in the US."
"Which 1 and 2 star reviews did Notion get in the UK App Store in the last 30 days?"
"Check my competitors' apps every morning and tell me what new reviews came in and whether their rating moved."

Tool

monitor_app_reviews. One tool. Example arguments:

{
  "apps": [
    "https://apps.apple.com/us/app/slack/id618783545",
    "com.Slack"
  ],
  "countries": [
    "us"
  ],
  "max_reviews_per_app": "50",
  "state_key": "slack-reviews-daily"
}

Inputs

Every buyer facing input of the actor, unchanged. Omitted inputs take the actor's own defaults. Numbers and booleans are sent as strings.

Input	Type	Description
`apps`	array	One per line: an App Store URL (https://apps.apple.com/us/app/slack/id618783545), an App Store id (id618783545), a Google Play URL, or a Google Play package name (com.Slack). Up to 100 apps per run
`countries`	array	Two letter store codes, one per line, for example us, gb, de. Default us. Up to 10. App Store reviews are separate per country. Google Play shows the same reviews in every country for one language, so its reviews are returned once, under the first country, and each other country gets its own rating row
`max_reviews_per_app`	string	Most reviews returned per app and country store in one run, newest first. Default 100. The App Store feed serves at most 500 per country; Google Play up to 2000
`since`	string	Optional. Only reviews on or after this date (YYYY-MM-DD), or within this many days (30)
`star_ratings`	array	Optional. Only return reviews with these star ratings, for example 1 and 2 for complaints. Empty returns all
`only_new`	string	Default true. Each run remembers the reviews it returned, per app and country, under the state key
`state_key`	string	Names the saved state. Use one key per schedule, for example competitor-apps-daily
`reset_state`	string	true forgets the reviews returned before, so this run starts over
`include_summary`	string	Default true: one row per app and country store with the rating, rating count, change since the last run, and the stars of the new reviews
`language`	string	Language code for Google Play reviews and pages. Default en
`max_charge_usd`	string	Optional. The run stops before it would charge more than this
`proxy_mode`	string	A reliability choice. Default auto

Pricing

Pay per event on Apify, billed to your Apify account. Prices in USD.

Event	Free plan	Bronze	Silver	Gold
`review-row`, one App Store or Google Play review returned	$0.0001	$9.5e-05	$9e-05	$8.5e-05
`app-summary`, one app and country store checked: the app rating, rating count, change since the last run, and the stars of the new reviews. Off when include_summary is false	$0.001	$0.00095	$0.0009	$0.00085
`apify-actor-start`, per run start	$0.0006563	$0.0006563	$0.0006563	$0.0006563

Rows for an app or input that could not be read are free.

Your keys

The actor needs no key. It reads Apple's public iTunes lookup service and reviews feed, and the public Google Play pages, and holds no key of any kind. Proxy traffic adds nothing to your price: Mamba Labs pays the platform costs of the run. proxy_mode is a reliability setting.

Full actor documentation

apify.com/mambalabs/app-store-google-play-review-monitor

License

MIT. See LICENSE.

App Store and Google Play Review Monitor MCP Server