getstoreready-mcp
Enables AI clients to manage app store projects via the GetStoreReady API, including creating projects, uploading screenshots, applying templates, updating listings, and checking project status.
README
<p align="center"> <a href="https://getstoreready.com"><img src="img/logo.png" alt="GetStoreReady" width="320"></a> </p>
<h1 align="center">getstoreready-mcp</h1>
<p align="center">MCP server for <a href="https://getstoreready.com">GetStoreReady</a> — create projects, upload screenshots, apply templates, edit screen designs, translate listings, export ZIPs, and more from an MCP-capable AI client (Claude, Cursor, Codex, Gemini, …).</p>
1. Get an API key
Create one at getstoreready.com/profile/api-keys (you'll need a GetStoreReady account). The token is shown once — copy it somewhere safe.
2. Add it to your MCP client
Every client below runs the same command:
{
"command": "npx",
"args": ["-y", "github:getstoreready/getstoreready-mcp"],
"env": {
"GSR_API_KEY": "gsr_live_your_key_here"
}
}
Claude Code
Project-scoped (shared via .mcp.json committed to a repo):
claude mcp add getstoreready --scope project -- npx -y github:getstoreready/getstoreready-mcp
Then set GSR_API_KEY in your environment, or add it directly to the
generated .mcp.json:
{
"mcpServers": {
"getstoreready": {
"command": "npx",
"args": ["-y", "github:getstoreready/getstoreready-mcp"],
"env": { "GSR_API_KEY": "gsr_live_your_key_here" }
}
}
}
User-scoped (available in every project): same block in
~/.claude.json under mcpServers, or claude mcp add --scope user.
Claude Desktop
Settings → Developer → Edit Config (opens claude_desktop_config.json):
{
"mcpServers": {
"getstoreready": {
"command": "npx",
"args": ["-y", "github:getstoreready/getstoreready-mcp"],
"env": { "GSR_API_KEY": "gsr_live_your_key_here" }
}
}
}
Cursor
Add to .cursor/mcp.json (project) or ~/.cursor/mcp.json (global):
{
"mcpServers": {
"getstoreready": {
"command": "npx",
"args": ["-y", "github:getstoreready/getstoreready-mcp"],
"env": { "GSR_API_KEY": "gsr_live_your_key_here" }
}
}
}
Codex CLI
Add to ~/.codex/config.toml:
[mcp_servers.getstoreready]
command = "npx"
args = ["-y", "github:getstoreready/getstoreready-mcp"]
[mcp_servers.getstoreready.env]
GSR_API_KEY = "gsr_live_your_key_here"
Gemini CLI
Add to ~/.gemini/settings.json:
{
"mcpServers": {
"getstoreready": {
"command": "npx",
"args": ["-y", "github:getstoreready/getstoreready-mcp"],
"env": { "GSR_API_KEY": "gsr_live_your_key_here" }
}
}
}
Tools
App bootstrap (from local repo)
| Tool | What it does |
|---|---|
detect_app |
Infer stack, app name, platforms, locales, and prioritized screens from a repo path. |
discover_screenshots |
Find PNG/JPG under marketing/, fastlane/screenshots/, screenshots/, etc. |
bootstrap_store_project |
One-shot: detect → upload → create project → apply template → return text layers for copy. |
Agent skill: getstoreready/getstoreready-skill — install with npx skills add getstoreready/getstoreready-skill.
Quick bootstrap:
detect_app({ appRootPath: "/path/to/app" })discover_screenshots({ appRootPath })— optional if you already know pathsbootstrap_store_project({ appRootPath, templateKey: "random" })update_screen_textper screen (optionally afterget_screen_images+ vision)
Projects & templates
| Tool | What it does |
|---|---|
list_projects |
List your GetStoreReady projects. |
create_project |
Create a new project. Returns its id and editor URL. |
get_project |
Project summary — platforms, languages, screen count, editor URL. |
list_templates |
List templates with your owned/locked state. |
apply_template |
Apply a template by key or "random". See recommended flow below. |
upload_screenshots |
Upload raw app screenshots — prefer local path over base64 data. |
place_screenshot_image |
Place an uploaded asset into a screen by 1-based index. |
Screen design
| Tool | What it does |
|---|---|
get_screens |
List screens with text layer ids, current copy, and device asset urls. |
get_screen_images |
Return device screenshot images for your AI client's vision (not server OCR). |
update_screen_text |
Change one template text layer on one screen. |
update_screen_design |
Change background and/or multiple text layers on one screen. |
bulk_update_designs |
Same background/text across all or selected screens (e.g. white bg everywhere). |
Listing & localization
| Tool | What it does |
|---|---|
list_store_languages |
Active and available store languages for a project. |
add_store_language |
Add de_DE, fr_FR, etc. |
get_listing |
Read ASO / store listing text for one locale. |
update_listing |
Update listing fields for one locale. |
get_ai_credits |
AI credit balance and translate availability. |
estimate_translation |
Credit cost estimate before translating. |
translate_project |
AI-translate listing and/or screen text between languages. |
Export
| Tool | What it does |
|---|---|
export_project |
Enqueue export, wait for ZIP, optionally save to a local path. |
Store push (Premium/Pro)
Link credentials in the web UI first (/projects/:id/settings).
| Tool | What it does |
|---|---|
get_app_store_link |
App Store Connect link status for a project. |
preview_app_store_push |
Review ASC push plan, blockers, warnings, live-store diff. |
push_to_app_store |
Push listing + screenshots to App Store Connect. |
get_app_store_push_job |
Poll an App Store push job. |
get_google_play_link |
Google Play link status for a project. |
preview_google_play_push |
Review Play push plan, blockers, live-store diff. |
push_to_google_play |
Push listing, screenshots, and app icon to Google Play. |
get_google_play_push_job |
Poll a Google Play push job. |
Recommended flows
Template + screenshots (live editor):
apply_template({ projectId, templateKey })— withoutassetIdsupload_screenshots({ images: [{ path: "/local/shot.png" }] })place_screenshot_imageonce per screen
Screenshot-aware titles (vision on your client):
get_screensorget_screen_images— your AI reads the imagesupdate_screen_textper screen with generated marketing copy
Bootstrap from an app repo (Flutter / RN / Swift):
bootstrap_store_project({ appRootPath: "/path/to/my-app" })update_screen_textfor each screen using returnedtextLayersupdate_listingwhen ASO metadata is ready
Add German + translate:
estimate_translation({ fromLanguage: "en_US", toLanguage: "de_DE", includeListing: true, includeDesigns: true })get_ai_credits— confirm balanceadd_store_language({ languageCode: "de_DE" })translate_project({ fromLanguage: "en_US", toLanguage: "de_DE", includeListing: true, includeDesigns: true })
Push to App Store / Google Play:
get_app_store_link/get_google_play_link— confirm linkedpreview_app_store_push/preview_google_play_push— review blockers + diffpush_to_app_store/push_to_google_play— enqueue (waits by default)
White backgrounds on all screens:
bulk_update_designs({
"projectId": "...",
"background": { "type": "solid", "color": "#ffffff" }
})
Local development
git clone git@github.com:getstoreready/getstoreready-mcp.git
cd getstoreready-mcp
npm install
GSR_API_KEY=... GSR_API_BASE=http://localhost:3201 GSR_SITE_URL=http://localhost:3200 npm run dev
Configuration
| Env var | Required | Default |
|---|---|---|
GSR_API_KEY |
Yes | — |
GSR_API_BASE |
No | https://api.getstoreready.com |
GSR_SITE_URL |
No | https://getstoreready.com |
License
MIT
推荐服务器
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。
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。
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。
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。
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。
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。
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。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
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。