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 Optimization data for AI agents: keyword ranks, scores, competitors, charts
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。
APPLYRA_API_KEY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 …”。
适用于网页版、桌面版和手机版 Claude:
https://www.applyra.io/api/mcp打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"applyra": {
"command": "npx",
"args": [
"-y",
"@applyra/mcp-server"
],
"env": {
"APPLYRA_API_KEY": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add --transport http applyra https://www.applyra.io/api/mcpclaude mcp add applyra --env APPLYRA_API_KEY=your-value -- npx -y @applyra/mcp-server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": {
"applyra": {
"url": "https://www.applyra.io/api/mcp"
}
}
}粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"applyra": {
"command": "npx",
"args": [
"-y",
"@applyra/mcp-server"
],
"env": {
"APPLYRA_API_KEY": "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": {
"applyra": {
"type": "http",
"url": "https://www.applyra.io/api/mcp"
}
}
}粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"applyra": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@applyra/mcp-server"
],
"env": {
"APPLYRA_API_KEY": "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。
ChatGPT 只能连接互联网上的服务器:
https://www.applyra.io/api/mcp菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
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6日
注册名称已通过域名 applyra.io 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:APPLYRA_API_KEY
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(1.8.0)于11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, Reelsaw
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.
Drive a self-hosted Reelsaw: turn long videos into vertical clips, edit, re-render and export them.
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。
MCP (Model Context Protocol) server for Applyra. It connects your App Store and Google Play keyword data to AI assistants like ChatGPT, Claude, Cursor, Codex, VS Code Copilot, and more.
30 tools covering keyword rank tracking, difficulty and traffic scoring, listing audits and metadata simulation, competitor visibility, notes on your charts and what followed each one, autocomplete mining, niche clustering, and top charts, on the App Store and Google Play.
The same tools are hosted at https://www.applyra.io/api/mcp (Streamable HTTP, OAuth). Nothing to install and no API key: the client opens an Applyra sign-in page, you approve it, and it is connected. It works with any Applyra account: the free plan includes 50 requests a month (each tool call is one request) on 1 app, 5 keywords and 1 competitor. Plan details are at applyra.io/pricing.
gemini extensions install https://github.com/applyra-io/mcp-server, then sign in when Gemini CLI asks.Connected assistants are listed, and can be disconnected, at applyra.io/dashboard/mcp.
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": { "applyra": { "command": "npx", "args": ["-y", "@applyra/mcp-server"], "env": { "APPLYRA_API_KEY": "your_api_key" } } } }
Install the Applyra plugin from the Cursor Marketplace and set the APPLYRA_API_KEY environment variable. The plugin also ships an ASO research skill that guides the agent through the tools.
Or add the server manually to .cursor/mcp.json or ~/.cursor/mcp.json:
{
"mcpServers": { "applyra": { "command": "npx", "args": ["-y", "@applyra/mcp-server"], "env": { "APPLYRA_API_KEY": "your_api_key" } } } }
Add to .vscode/mcp.json:
{
"servers": { "applyra": { "type": "stdio", "command": "npx", "args": ["-y", "@applyra/mcp-server"], "env": { "APPLYRA_API_KEY": "your_api_key" } } } }
claude mcp add applyra -e APPLYRA_API_KEY=your_api_key -- npx -y @applyra/mcp-server
Note --env, where Claude Code takes -e.
codex mcp add applyra --env APPLYRA_API_KEY=your_api_key -- npx -y @applyra/mcp-server
Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": { "applyra": { "command": "npx", "args": ["-y", "@applyra/mcp-server"], "env": { "APPLYRA_API_KEY": "your_api_key" } } } }
| Tool | Description |
|---|---|
list_applications | List tracked apps with store metadata, ratings, keyword count and ASO Health scores |
add_application | Track a new application by its store bundle ID. Fetches store metadata and computes the initial visibility score |
list_keywords | Tracked keywords with current rank, favorite flag, difficulty/traffic scores |
track_keywords | Track up to 20 new keywords for an application in a single call |
untrack_keyword | Stop tracking a keyword for an application (soft delete) |
set_keyword_favorite | Mark or unmark a tracked keyword as favorite for a specific app |
inspect_keyword | Deep-analyze any keyword: difficulty, traffic, KEI, top 20 apps, related keywords |
list_keyword_inspections | Past keyword inspections with their scores |
run_autocomplete | Fetch autocomplete suggestions from the App Store or Google Play |
list_autocomplete_history | Past autocomplete queries |
run_niche_analysis | Cluster a niche topic into sub-niches with opportunity scores |
list_niche_analyses | Past niche analyses |
top_charts | Top apps chart for a store/country/category/collection, with daily rank movement |
list_top_chart_categories | Categories and collections supported by top_charts, per store |
get_keyword_rank_history | Daily rank evolution over a date range |
get_app_score_history | Daily visibility score history for an app, with the notes and updates in the range |
list_notes | The notes on an app's charts, numbered like their flags |
add_note | Note what you did on a day (a campaign, a metadata change, a launch) |
update_note | Change the text or the day of a note |
delete_note | Delete a note |
compare_events | Visibility, or a keyword's rank, before and after each note and app update |
get_aso_health | Full listing audit for an app: coverage, targeting and appeal, every field, and what to fix |
check_metadata | Check draft listing text against each store's limits and forbidden copy. Instant, no store lookup |
simulate_metadata | Score a listing that does not exist yet and see the gain against the app's current score |
list_metadata_simulations | Listing drafts already scored on the account (titles and scores) |
get_metadata_simulation | One saved draft in full: its four fields, its context and its findings |
list_competitors | Competitor pairs with side-by-side visibility scores |
add_competitor | Add a competitor app to one of your applications by its store bundle ID |
remove_competitor | Remove a competitor relationship by its internal ID |
get_account_usage | Current usage vs. plan limits |
MIT. See LICENSE.