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šŸ¤– Google Play Console MCP Server

npm version License: MIT MCP Compatible

A powerful Model Context Protocol (MCP) server that allows AI Assistants (like Claude, Gemini, or any MCP client) to directly manage your Google Play Console.

Stop clicking through slow web interfaces to release your app. Just ask your AI agent to do it.

"Claude, what's the crash rate on production?" "Gemini, create a new internal release and update the release notes." "Claude, list 1-star reviews from today and reply to them asking for details."


🌟 Key Features

  • šŸš€ Release Management: Create releases, manage tracks, update release notes, and control staged rollouts.

  • šŸ“Š App Vitals & Reports: Fetch acquisition data, crash rates, and ANR statistics instantly.

  • šŸ’¬ Review Management: Read user reviews, filter by rating, and post replies automatically.

  • šŸ–¼ļø Store Presence: Update store listings, translations, and manage screenshots/feature graphics.

Related MCP server: play-store-mcp

šŸ› ļø Provided Tools

This MCP server exposes 65 tools to your AI agent. Highlights:

šŸ“¦ App & Listings

  • gpc_get_app_info - Get app details (package name, default language, contact info)

  • gpc_list_listings - Fetch all store listings across locales

  • gpc_update_listing - Update store listing for a specific locale

šŸš€ Release & Track Management

  • gpc_list_tracks - List tracks (internal, alpha, beta, production) with current releases

  • gpc_create_release - Create a new release on a specified track

  • gpc_update_release_notes - Update release notes for the latest release

  • gpc_set_rollout - Set/update staged rollout percentage

  • gpc_halt_rollout - Halt an ongoing staged rollout

šŸ’¬ Reviews

  • gpc_list_reviews - Fetch user reviews with ratings and reply status

  • gpc_reply_review - Post a reply to a user review

šŸ“ˆ Reports & Vitals

  • gpc_acquisition_report - Fetch install/acquisition statistics

  • gpc_crash_report - Get Crash and ANR rates from Android Vitals

  • gpc_crash_anomaly_detector - Compares the last 2 days' crash rate against the prior 12-day baseline and flags a spike (🚨) worth halting a rollout for

šŸ“ø Screenshots & Images

  • gpc_list_images - List uploaded images for a specific locale

  • gpc_upload_image - Upload screenshots/feature graphics/icons

  • gpc_upload_images_batch - Upload many images across locales in a single edit (required to seed a new locale: Play demands ≄2 phone screenshots at commit time, so per-file commits fail with "too few screenshots")

  • gpc_delete_image - Delete a specific image


āš™ļø Quick Start

1. Obtain a Service Account Key

  1. Go to Google Cloud Console.

  2. Enable the "Google Play Android Developer API".

  3. Create a Service Account and download the JSON key.

  4. In Google Play Console > Setup > API access:

    • Link your Google Cloud project.

    • Grant the service account "Admin" or "Release manager" permissions.

2. Installation

Clone this repository and build:

git clone https://github.com/YOUR_USERNAME/gpc-mcp-server.git
cd gpc-mcp-server
npm install
npm run build

3. Connect to Claude Code (or any MCP Client)

Use the claude mcp add command to inject this server into your Claude environment:

claude mcp add --scope user gpc-mcp \
  -e GOOGLE_PLAY_SERVICE_ACCOUNT_JSON=/path/to/your/service-account.json \
  -e GOOGLE_PLAY_PACKAGE_NAME=com.yourcompany.appname \
  -- node /path/to/gpc-mcp-server/dist/index.js

Environment Variables Required

Variable

Description

Example

GOOGLE_PLAY_SERVICE_ACCOUNT_JSON

Absolute path to the Service Account JSON key

/users/me/secrets/play-store.json

GOOGLE_PLAY_PACKAGE_NAME

Your Android application package name

com.example.myapp


šŸ¤– Example AI Prompts

Once configured, you can just talk to your AI agent naturally:

Checking App Health:

"Are there any new crashes for our app today?" -> Agent calls gpc_crash_report

Rollout Safety Check:

"Is our latest rollout safe, or should we halt it?" -> Agent calls gpc_crash_anomaly_detector, and if it flags a spike, follows up with gpc_halt_rollout

Release Workflow:

"Create a new internal release and update the Turkish release notes to say 'Bug fixes'." -> Agent calls gpc_create_release and gpc_update_release_notes

Customer Support:

"Find all 1-star reviews from this week and draft replies for me." -> Agent calls gpc_list_reviews and gpc_reply_review

Auto-Generate Release Notes from Git:

"Look at the commits since our last tag and write user-friendly release notes from them, then publish them." -> Agent reads your local git history, drafts copy, and calls gpc_update_release_notes

Store Listing Optimization:

"Pull our current store listing and suggest a stronger short description for better conversion." -> Agent calls gpc_list_listings to read the current copy, then gpc_update_listing to publish the new one


šŸ“ Supported Locales

Includes standard Play Console locales: en-US, tr-TR, de-DE, es-419, fr-FR, ru-RU, ar and many more.

šŸ“„ License

This project is licensed under the MIT License - see the LICENSE file for details.

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  • Your agent needs app-store data — what an app looks like on the App Store and Google Play, what reviewers say, and what ranks for a search in a given country. **What you can ask for** • "What does this app's store listing look like, and how is it rated?" • "Pull recent reviews for this app and group the complaints." • "What apps rank for this search term in Japan?" • "List the top apps in this category on both stores." • "Compare this app's listing on iOS and Android." **How to use it** Point any MCP client at https://mcp.aisa.one/seo-apps/mcp and sign in with OAuth — there is no key to create or paste. 37 tools: Apple App Store and Google Play app info, app lists, category listings, reviews and store search results, in live and queued forms, with categories, languages and locations for each. **It is also a door to the rest** The same login reaches 26 sources and 580+ operations. Read the store listing here, then ask the same agent what the app's website ranks for — without adding a second server. **What it costs** Finding and inspecting an operation is free. Running one is billed per call at API prices, with no seat and no monthly minimum, and every call takes max_price_usd so an agent cannot overspend by accident. **Where else it reaches** https://mcp.aisa.one/seo/mcp for all of it at once — rankings, keywords, backlinks, site health and AI-answer visibility across DataForSEO, Semrush and Ahrefs.

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