playstore-release-mcp

playstore-release-mcp

An MCP server that drives Google Play releases: bundle upload, track releases (internal/closed/open/production), listing metadata, store graphics, and review replies.

Category
Visit Server

README

playstore-release-mcp

An MCP server that drives Google Play releases: bundle upload, track releases (internal / closed / open / production), listing metadata, store graphics, and review replies.

Sibling to appstore-release-mcp. Same shape, same conventions — but simpler in one important way: Play's REST API can do the entire release. There's no equivalent to Apple's "archive, sign, and upload" gap, because a .aab built by EAS Build (or Gradle) already arrives signed. This server is a pure Android Publisher API client — no fastlane, no local build toolchain, no async job runner.

Requirements

  • A Google Cloud service account with the Android Publisher API enabled, granted access to your app in Play Console.
  • An existing app record in Play Console. The Android Publisher API cannot create a brand-new app — the very first app must be created by hand (Play Console → Create app).

Setup

  1. Create a service account (once): Google Cloud Console → IAM & Admin → Service Accounts → Create Service Account → skip granting Cloud-level roles → Keys → Add Key → JSON. Download it.

  2. Grant it access in Play Console: Play Console → Users and permissions → Invite new users → paste the service account's email (from the JSON's client_email field) → grant at least Release manager permissions on the app(s) it should manage.

  3. Register with Claude Code:

claude mcp add playstore \
  -e GOOGLE_SERVICE_ACCOUNT_KEY_PATH=$HOME/.play/service-account.json \
  -e PLAY_PACKAGE_NAME=com.example.myapp \
  -- npx playstore-release-mcp

(Or GOOGLE_SERVICE_ACCOUNT_KEY_CONTENT with the JSON base64-encoded, if you'd rather not keep the key on disk.)

  1. Verify: ask the agent to run play_doctor. All checks should be ✓.

Tools

Tool What it does
play_doctor Verify credentials, package name, API reachability — run first
play_app_status All tracks + their current release, version codes, rollout %
play_upload_bundle Upload a local .aab → returns the resulting versionCode
play_release_to_track Assign a versionCode to a track, set status/rollout %/release notes
play_update_listing Title / short description / full description, per locale
play_upload_graphics Screenshots, hi-res icon, feature graphic — Play's API allows this directly
play_list_reviews Recent user reviews with star ratings and text
play_reply_review Post a public developer reply to a review

Release walkthrough

play_doctor
play_upload_bundle {aab_path: "./build/app.aab"}        # → versionCode
play_release_to_track {track: "internal", version_code}  # no review gate — fast sanity check
...
play_release_to_track {track: "production", version_code, status: "completed"}
play_app_status                                           # confirm rollout

Staged rollout example: play_release_to_track {track: "production", version_code, status: "inProgress", rollout_fraction: 0.1} ships to 10% of users; call it again with a higher fraction to widen, or status: "completed" to go to 100%.

What this can't do

Play Console (web) only — no public API exists for either of these, as far as I've found:

  • Data Safety form — the data-collection disclosure questionnaire.
  • Content rating (IARC) questionnaire.

Both are one-time-per-app forms (rarely touched after initial setup), so this is a minor gap in practice, but worth knowing going in — don't expect a play_update_data_safety tool.

Notes

  • Google's OAuth2 flow requires exchanging a signed JWT for an access token (one extra network call versus Apple's ES256 JWT, which is used directly as the bearer token). Tokens are cached and refreshed automatically.
  • Play's release model is transactional ("Edits"): open an edit, stage changes, commit. Only one open edit per app is allowed at a time. Every tool here opens and commits (or abandons, on error) its own edit — you never have to think about edit IDs.
  • play_release_to_track targeting production is the point of no return for a public rollout — the tool description tells agents to confirm with a human first, same convention as appstore-release-mcp's asc_submit_review.

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured