Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
App Store & Google Play keyword ranks, rivals, reviews and AI visibility. Free plan included.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
STORELIFT_API_KEY, STORELIFT_API, Authorization标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"storelift": {
"command": "npx",
"args": [
"-y",
"storelift-mcp"
],
"env": {
"STORELIFT_API_KEY": "your-value",
"STORELIFT_API": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add --transport http storelift https://storelift.net/mcp --header 'Authorization: your-value'claude mcp add storelift --env STORELIFT_API_KEY=your-value --env STORELIFT_API=your-value -- npx -y storelift-mcp运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"storelift": {
"url": "https://storelift.net/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"storelift": {
"command": "npx",
"args": [
"-y",
"storelift-mcp"
],
"env": {
"STORELIFT_API_KEY": "your-value",
"STORELIFT_API": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"storelift": {
"type": "http",
"url": "https://storelift.net/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"storelift": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"storelift-mcp"
],
"env": {
"STORELIFT_API_KEY": "your-value",
"STORELIFT_API": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
你的选择通过 Cookie 保存在这台设备上,无需账户。
STORELIFT_API envAuthorization 机密 HTTP header这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过域名 storelift.net 验证(注册中心会核实域名所有权)
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:STORELIFT_API_KEY, Authorization
两种方式都可以:安装在你的电脑上,或者连接云端版本。
GitHub 仓库最后更新于–,最新版本(1.5.1)于9天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Spec Driven Development, Remote Desktop Commander, TF Rooms
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Live room availability, rates and stay quotes for 12 New Leaf motels in Twin Falls, Idaho.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Storelift MCP server: App Store and Google Play keyword rank tracking for Claude, ChatGPT, Cursor and any MCP client. The remote server is included on every Storelift plan, including Free (1 app, 25 keywords in each of 2 storefronts, no end date).
Ask your assistant which keywords you dropped on, who outranks you, what your reviews say and how your listing changed, without opening a dashboard. The server carries 85 tools for keyword ranks, rivals, store pages, reviews, charts, market data, Apple Ads and AI visibility. No store credentials are required for ranks and rivals. Every change (tracking, listing text, review replies, Apple Ads budgets) is previewed first and applied only after you confirm it.
| Free | Pro | Studio | |
|---|---|---|---|
| Price | $0, no card, no end date | $20/month or $200/year | $60/month or $600/year |
| Apps | 1 | 5 | Unlimited |
| Tracked keywords (keyword × storefront) | 25 in each of 2 storefronts (50) | 2,500 | 10,000 |
| Storefronts per app | 2 | All 175 | All 175 |
| Keyword rank history | 30 days | 6 months | 1 year |
| Seats | 1 | 3 | 10 |
Remote MCP server (https://storelift.net/mcp) | Included | Included | Included |
Public API and local MCP server (npx storelift-mcp) | Not included | Included | Included |
| AI visibility runs a month (panel) | 0 | 3 | 60 |
AI visibility through MCP (ai:read) | Not included | Not included | Included |
Enterprise (contact us) adds 25,000 tracked keywords, 25 seats and 180 AI visibility runs a month. Plan details and the 7-day Pro trial terms are on the pricing page.
sl_test_) returns sample data and is not a live-data credential.ai:read scope. Pro's AI visibility runs in the Storelift panel are a separate allowance and do not open these tools.Endpoint: https://storelift.net/mcp over Streamable HTTP. Clients that support MCP authorization sign you in to Storelift with OAuth and ask you to approve access; no key to paste.
Claude (claude.ai and Claude Desktop): Settings → Connectors → Add custom connector, URL https://storelift.net/mcp. Step-by-step guide.
Claude Code (guide):
claude mcp add --transport http storelift https://storelift.net/mcp
Cursor (.cursor/mcp.json in a project or ~/.cursor/mcp.json; guide):
{
"mcpServers": { "storelift": { "url": "https://storelift.net/mcp" } } }
ChatGPT and other MCP clients: add https://storelift.net/mcp as a remote (Streamable HTTP) MCP server where the client allows custom connectors.
Clients without OAuth can send a live API key as a header instead:
claude mcp add --transport http storelift https://storelift.net/mcp --header "Authorization: Bearer sl_live_..."
Claude Code:
claude mcp add storelift -e STORELIFT_API_KEY=sl_live_... -- npx -y storelift-mcp
Claude Desktop (claude_desktop_config.json) or Cursor (mcp.json):
{
"mcpServers": { "storelift": { "command": "npx", "args": ["-y", "storelift-mcp"], "env": { "STORELIFT_API_KEY": "sl_live_..." } } } }
For a first read, create the key with apps:read only and add other scopes when you need them. Tools whose scope the key does not carry are left out of the list.
storelift-mcp 1.5.0 and the remote endpoint carry the same 85 tools.
| Tool | Returns |
|---|---|
list_apps | tracked apps (id, name, countries, keywords) |
get_keywords | keyword ranks for one app in one country |
get_rivals | apps ranking above you, with their rank and yours |
get_ai_visibility | a dated sample of answers per measured engine; Studio/Enterprise and ai:read required; not what every user sees |
run_ai_visibility_check | starts an AI visibility sample using an available AI visibility run; Studio/Enterprise and ai:read required |
get_history | rank history, [day, rank] points |
get_store_page | your own listing signals (languages, star breakdown, in-app events, promotional text, featured in-app purchases) + the Google Play page, with a dated change timeline |
get_reviews | recent App Store and Google Play reviews, and how many are new since last measurement |
search_reviews | search reviews by text, star rating, version and date range, up to 1,000 rows from the full archive |
get_review_stats | rating distribution, day-by-day curve and per-version breakdown |
summarize_reviews | Review AI: summary and themes of the recent reviews, each theme with quoted reviews (stored summary reused the same day) |
draft_review_reply | a reply draft for one review, from the stored review text plus your note |
get_listing_timeline | dated listing changes (version, screenshots, events, featuring, keyword field), each with the rank movement around it |
get_chart_movers | risers, fallers and new entrants in the app's own category, with the app's and its rivals' place (Pro) |
get_featuring | editorial cards, In-App Events and the similar-apps shelf per country, with dated history |
list_alerts | the workspace's alert feed and unread count |
get_portfolio_overview | today across every app: users, revenue, trials, totals and the subscription feed |
get_today | one app's day: purchases and trials, new reviews, rank and category moves, new entrants, events and yesterday's store figures |
get_keyword_competition | how many apps compete on each keyword |
get_rival_detail | a rival's rating history and the keywords it ranks for (one keyword spy, open for 30 days) |
get_rival_ad_networks | the ad networks a rival works with, DIRECT or RESELLER |
get_rival_market | a rival's installs and in-app price range on Google Play, price and rating count on the App Store |
get_storefront_audit | your iOS listing across every storefront: where it is sold, which storefronts serve fallback text or screenshots |
check_rank | the live rank of any app for any term in one storefront, tracked or not |
get_keyword_metrics | demand, related searches and difficulty inputs (top results' rating counts, title matches) for one term |
suggest_keywords | new keyword ideas in the storefront's search language, each with who searches it and why (one AI writing credit) |
validate_listing | checks a draft listing: character limits, wasted keyword-field room, repeats, language and script, tracked keywords left out |
localize_listing | full listing for a new locale, keywords measured in that storefront, screenshot captions with shots; background job read with poll (one listing write) |
draft_listing | title, subtitle, promotional text and description drafted from the measured keywords, with character counts and review checks (one AI writing credit) |
get_screenshot_text | the caption text on your first four screenshots |
get_charts | App Store chart position per list, with history |
whoami | plan, authentication method, scopes, readable apps and credit balance (0 credits) |
get_usage | every quota with used / limit / reset, today's Hive allowance and the rate (0 credits) |
search | search your own apps, tracked keywords and rivals → ids for fetch |
fetch | the full record behind a search id |
get_app | one app: ids, countries, keywords per country, latest snapshot |
get_revenue | App Store Connect / Google Play units and RevenueCat MRR, subscriptions, trials for one app (revenue:read) |
get_subscription_events | RevenueCat / Adapty event counts per day, country and cohort (revenue:read) |
get_store_funnel | App Store impressions → page views → downloads with history (revenue:read) |
get_ads_keywords | Every Apple Ads keyword: bid, spend, CPT, CPA, conversion, with the organic rank beside it (ads:read) |
get_ads_search_terms | The searches that triggered the ads, with the organic rank beside each (ads:read) |
get_ads_command_status | Apple Ads commands for the app's campaigns: queued, applying, applied or failed (ads:read) |
get_search_popularity | search popularity for the app's category and which tracked keywords are in it (ads:read) |
get_pricing_offers | Prices in force per product and country, fixed-price periods with their conversions and revenue, offer codes (revenue:read) |
get_country_prices | Each country's price against Apple's automatic price and the median of rivals that localize, with a suggested attractive price (revenue:read, Pro) |
get_change_impact | Before and after a change day, side by side: ranks, App Store funnel, downloads, subscription revenue (revenue:read) |
get_weekly_plan | This week's ASO plan: the next tasks with the measurement behind each, where the keyword sits now and what clears it (apps:read, Pro) |
get_ads_campaigns | Apple Ads campaigns promoting the app: spend, taps, installs, keywords (ads:read) |
get_job | status of a job started by a confirmed action: queued / running / done / failed (0 credits) |
These read the whole App Store, not just your apps. They need hive:read and draw on the same credit balance as the Storelift API — one meter for both.
| Tool | What it answers |
|---|---|
find_apps | find apps across the charts we measure: category, storefront, chart, rank band, first-seen date, name or publisher, monthly revenue, monthly downloads or 30-day growth; every row carries its monthly revenue and downloads with the day they were computed |
market_charts | one top chart as we last measured it, with the day it was read |
market_movers | who climbed, fell, entered or left a chart against N days ago; every delta sits between two measured days and the answer names both |
market_new_apps | apps seen on a chart for the first time, newest first, with their publisher |
| market_publisher | every app of one publisher we have seen on a chart, with the day each was first seen
只显示了开头部分;其余内容请在仓库中阅读