gpc-mcp-server
Provides tools for managing Google Play Console, including release and track management, staged rollouts, app vitals and crash reporting, user reviews and replies, store listings, and image uploads.
š¤ Google Play Console MCP Server
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."
š Key Features
š Release Management: Create releases, manage tracks, update release notes, and control staged rollouts.
š App Vitals & Reports: Fetch acquisition data, crash rates, and ANR statistics instantly.
š¬ Review Management: Read user reviews, filter by rating, and post replies automatically.
š¼ļø Store Presence: Update store listings, translations, and manage screenshots/feature graphics.
Related MCP server: play-store-mcp
š ļø Provided Tools
This MCP server exposes 65 tools to your AI agent. Highlights:
š¦ App & Listings
gpc_get_app_info- Get app details (package name, default language, contact info)gpc_list_listings- Fetch all store listings across localesgpc_update_listing- Update store listing for a specific locale
š Release & Track Management
gpc_list_tracks- List tracks (internal, alpha, beta, production) with current releasesgpc_create_release- Create a new release on a specified trackgpc_update_release_notes- Update release notes for the latest releasegpc_set_rollout- Set/update staged rollout percentagegpc_halt_rollout- Halt an ongoing staged rollout
š¬ Reviews
gpc_list_reviews- Fetch user reviews with ratings and reply statusgpc_reply_review- Post a reply to a user review
š Reports & Vitals
gpc_acquisition_report- Fetch install/acquisition statisticsgpc_crash_report- Get Crash and ANR rates from Android Vitalsgpc_crash_anomaly_detector- Compares the last 2 days' crash rate against the prior 12-day baseline and flags a spike (šØ) worth halting a rollout for
šø Screenshots & Images
gpc_list_images- List uploaded images for a specific localegpc_upload_image- Upload screenshots/feature graphics/iconsgpc_upload_images_batch- Upload many images across locales in a single edit (required to seed a new locale: Play demands ā„2 phone screenshots at commit time, so per-file commits fail with "too few screenshots")gpc_delete_image- Delete a specific image
āļø Quick Start
1. Obtain a Service Account Key
Go to Google Cloud Console.
Enable the "Google Play Android Developer API".
Create a Service Account and download the JSON key.
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 build3. 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.jsEnvironment Variables Required
Variable | Description | Example |
| Absolute path to the Service Account JSON key |
|
| Your Android application package name |
|
š¤ 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 withgpc_halt_rollout
Release Workflow:
"Create a new internal release and update the Turkish release notes to say 'Bug fixes'." -> Agent calls
gpc_create_releaseandgpc_update_release_notes
Customer Support:
"Find all 1-star reviews from this week and draft replies for me." -> Agent calls
gpc_list_reviewsandgpc_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_listingsto read the current copy, thengpc_update_listingto publish the new one
š Supported Locales
Includes standard Play Console locales: en-US, tr-TR, de-DE, es-419, fr-FR, ru-RU, ar and many more.
š License
This project is licensed under the MIT License - see the LICENSE file for details.
This server cannot be deployed
Maintenance
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Your agent needs app-store data ā 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 ā 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 ā 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 ā rankings, keywords, backlinks, site health and AI-answer visibility across DataForSEO, Semrush and Ahrefs.
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