mobile-release-mcp

mobile-release-mcp

MCP server for managing mobile app releases on App Store Connect and Google Play. It exposes 101 tools for iOS and Android release lifecycle and reacts to EAS/GitHub webhooks automatically.

Category
访问服务器

README

<div align="center">

StorePilot

Release orchestration MCP for App Store Connect + Google Play

Ask your agent “can I ship?” — get blockers, a plan, and safe dry-runs before touching production.

<br />

npm version CI License: MIT Node.js MCP

<br />

npm: storepilot-mcp · CLI: storepilot

<img src="docs/assets/storepilot-console-4k-preview.gif" alt="StorePilot console demo — snapshot, blockers, dry-run intents" width="100%" />

<p align="center"><sub>4K: <code>docs/assets/storepilot-console-4k.mp4</code> · Rebuild: <code>npm run record:console:4k</code></sub></p>

Golden path · Quick start · Demo · Tools · Compare · Launch post

</div>


Not the same as silviosotelo/mobile-release-mcp (Fastlane/build focus).
StorePilot = store operations + release orchestration for AI agents.

Why StorePilot

Other MCP servers StorePilot
90+ low-level tools, agent picks one-by-one Snapshot → blockers → intent → execute
No project memory storepilot.yaml + .storepilot/memory.json
Writes hit production immediately dryRun: true by default on workflows
Apple or Google depth Both, plus escape hatch for long tail
No CI hooks EAS + GitHub webhooks built in

~131 typed tools · 91 in release toolset · App Store Connect · Google Play · provenance on npm

Golden path (StorePilot)

Three steps from zero to “agent knows if you can ship”:

1. Add storepilot.yaml to your app repo

cp path/to/StorePilot/storepilot.example.yaml ./storepilot.yaml
# Edit stores.ios.appId and stores.android.package
project: my-app
stores:
  ios:
    appId: "1234567890"
    bundleId: com.example.app
  android:
    package: com.example.app
release:
  defaultRollout: 0.1

2. Point MCP at your project

{
  "mcpServers": {
    "storepilot": {
      "command": "npx",
      "args": ["-y", "storepilot-mcp@latest"],
      "env": {
        "APPLE_KEY_ID": "YOUR_KEY_ID",
        "APPLE_ISSUER_ID": "YOUR_ISSUER_ID",
        "APPLE_PRIVATE_KEY_PATH": "/path/to/AuthKey.p8",
        "GOOGLE_SERVICE_ACCOUNT_KEY_PATH": "/path/to/play-service-account.json",
        "STOREPILOT_CONFIG_PATH": "/path/to/your-app/storepilot.yaml",
        "MCP_TOOLSET": "release"
      }
    }
  }
}

3. Ask your agent

"Load my project and explain what's blocking release."
→ load_project / get_release_snapshot / explain_release_blockers

"Plan a 10% production rollout (don't execute yet)."
→ execute_release_intent { intent: "rollout_production", percentage: 10, dryRun: true }

"When ready: promote Android internal → production at 10%."
→ execute_release_intent { intent: "promote_to_production", dryRun: false, confirm: true }

CLI (no IDE):

export STOREPILOT_CONFIG_PATH=./storepilot.yaml
# + Apple/Google env vars — see docs/CREDENTIALS.md
storepilot snapshot    # blockers + next actions
storepilot projects    # multi-app registry

Full walkthrough: docs/DEMO.md

Quick start

npx -y storepilot-mcp@latest

Credentials: docs/CREDENTIALS.md — EAS webhooks do not replace App Store / Play API keys.

Features

Orchestrator (v1.0+)

  • get_release_snapshot — production vs candidate, cross-platform blockers
  • explain_release_blockers — human-readable “what to do next”
  • execute_release_intent — rollout, promote, submit (dry-run default)
  • list_projects — multi-app registry via STOREPILOT_PROJECTS_DIR
  • promote_release, configure_rollout, create_tester_group

Safety & ops

  • confirm: true on destructive writes; workflows skip confirm when dryRun is true (default)
  • Toolsets: MCP_TOOLSET=release | readonly | all
  • Escape hatch: apple_api_call, google_api_call for long-tail API
  • Webhooks: EAS Build/Submit + GitHub Actions → list_pending_webhooks
  • Transports: stdio (Cursor/Claude) or HTTP /mcp
  • Tests: npm test (42+), npm run smoke (live, needs credentials)

Store coverage

  • Apple: builds, TestFlight, metadata, screenshots, export compliance, submission preflight
  • Google: tracks, uploads, subscriptions, internal app sharing, deobfuscation maps

See docs/TOOLS.md · docs/COMPARISON.md

Configuration

Variable Description
STOREPILOT_CONFIG_PATH Path to storepilot.yaml
STOREPILOT_PROJECTS_DIR Directory of app repos for list_projects
MCP_TOOLSET release (recommended), readonly, all
APPLE_* / GOOGLE_* Store API credentials — CREDENTIALS.md
EAS_PROJECT_MAPPINGS Map EAS project → store IDs for webhooks
LOG_LEVEL Set error for clean CLI JSON output

Full env reference: .env.example

Webhook flow

EAS/GitHub → POST /webhook/* → verify → persist
  → list_pending_webhooks
  → get_release_snapshot
  → execute_release_intent (dryRun → confirm)
  → mark_webhook_processed

Development

git clone https://github.com/Jeronimo0228/StorePilot.git
cd StorePilot
npm install
npm test
npm run build
npm run storepilot -- snapshot   # from source

Try it without cloning: npx storepilot-mcp@latest + scripts/try-storepilot.sh

Project structure

src/
├── core/           Release snapshot, workflows, release-intent
├── tools/          MCP registrations (orchestrator, apple, google, escape)
├── providers/      App Store Connect + Google Play clients
├── plugins/        Plugin hook contract (v1.0)
├── cli.ts          storepilot CLI
└── webhook/        EAS + GitHub
docs/               DEMO, TOOLS, COMPARISON, LAUNCH (LinkedIn draft)

Feedback

Early v1 — we want real-world reports: Try StorePilot feedback

License

MIT — see LICENSE.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选