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what is google-play-analytics-mcp fr?

desunit/google-play-analytics-mcp — explained in plain English

Analysis updated 2026-05-18

0PythonAudience · developerComplexity · 3/5Setup · moderate

tl;dr

An MCP server that lets AI assistants read Google Play Console analytics like installs, ratings, and traffic sources.

vibe map

mindmap
  root((play-analytics-mcp))
    What it does
      Reads Google Play CSV reports
      Exposes analytics as AI tools
      Tracks installs ratings crashes
    Tech stack
      Python
      MCP protocol
      Google Cloud Storage
      Service account auth
    Use cases
      Ask AI about install sources
      Check store conversion rates
      Review crash and rating trends
    Audience
      Android developers
      Product managers
      Mobile analytics teams

Code map

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filefunction / class

what do people make with this?

VIBE 1

Ask an AI assistant what share of installs come from browsing versus searching the Play Store.

VIBE 2

Find which countries or search terms drive the most store acquisitions.

VIBE 3

Check crash and rating trends for an Android app over time.

VIBE 4

Pull subscription or review data through natural language questions.

what's the stack?

PythonMCPGoogle Cloud Storage

how it stacks up fr

desunit/google-play-analytics-mcp0xallam/my-recipe0xhassaan/nn-from-scratch
Stars00
LanguagePythonPythonPython
Last pushed2022-11-22
MaintenanceDormant
Setup difficultymoderatemoderatemoderate
Complexity3/52/54/5
Audiencedevelopergeneraldeveloper

Figures from each repo's GitHub metadata at analysis time.

how do i run it?

Difficulty · moderate time til it works · 30min

Requires a Google Cloud service account with access to the Play Console reports bucket, plus Python 3.11 or newer.

No license information is stated in the README.

in plain english

This project is a connector, called an MCP server, that gives AI assistants like Claude access to Google Play Console analytics for an Android app. Google's Play Console shows useful data such as how many people found an app by browsing versus searching the store, install and uninstall counts, ratings, crash reports, subscriptions, and reviews, but there is no easy way for an AI agent to read that data directly. This project solves that by reading the CSV report files that Google Play automatically exports to a Cloud Storage bucket, and turning them into a set of tools an AI can call. It connects using a Google Cloud service account, so there is no manual browser login or token refresh needed. Because Google Play publishes these reports with a one to two day delay, the freshest data available is usually from a day or two ago. The tools it exposes cover things like acquisitions by traffic source or country, store listing visitor to install conversion rates, search terms that bring in visitors, install and uninstall counts, average ratings, crash and error reports, subscription activity, and individual user reviews. There is also a general purpose tool for pulling raw report data for anything not covered by the specific tools. Setting it up requires a Google Play Console account with reports already being exported, a Google Cloud service account with read access to that report bucket, and Python 3.11 or newer. Configuration is handled entirely through environment variables, and the service account key is never meant to be committed to the repository. This project is aimed at Android app developers and product people who want to ask an AI assistant plain language questions about their app's store performance, such as which countries or search terms drive the most installs.

prompts (copy fr)

prompt 1
Help me set up a Google Cloud service account with read access to my Play Console reports bucket.
prompt 2
Explain the difference between store_performance and store_conversion report families.
prompt 3
Walk me through registering this MCP server with Claude Code.
prompt 4
Show me how to configure environment variables for this project.

Frequently asked questions

what is google-play-analytics-mcp fr?

An MCP server that lets AI assistants read Google Play Console analytics like installs, ratings, and traffic sources.

What language is google-play-analytics-mcp written in?

Mainly Python. The stack also includes Python, MCP, Google Cloud Storage.

What license does google-play-analytics-mcp use?

No license information is stated in the README.

How hard is google-play-analytics-mcp to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is google-play-analytics-mcp for?

Mainly developer.

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