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App Store Optimization data for AI agents: keyword ranks, scores, competitors, charts
About
App Store Optimization data for AI agents: keyword ranks, scores, competitors, charts
Security Report
This is a well-constructed MCP server for the Applyra ASO platform with proper authentication, clear permission scopes, and good code quality. The server requires an API key for all operations, validates inputs with Zod schemas, and implements proper error handling. Minor issues include broad exception handling and some verbose but non-sensitive logging patterns that do not significantly impact security. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
4 files analyzed · 7 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: APPLYRA_API_KEY
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-applyra-mcp-server": {
"env": {
"APPLYRA_API_KEY": "your-applyra-api-key-here"
},
"args": [
"-y",
"@applyra/mcp-server"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
@applyra/mcp-server
MCP (Model Context Protocol) server for Applyra. It connects your App Store and Google Play keyword data to AI assistants like Claude, Cursor, Codex, VS Code Copilot, and more.
25 tools covering keyword rank tracking, difficulty and traffic scoring, listing audits and metadata simulation, competitor visibility, autocomplete mining, niche clustering, and top charts, on the App Store and Google Play.
Prerequisites
- Node.js 20 or later
- An Applyra account with the Unlimited plan
- An API key, generated at applyra.io/dashboard/api
Installation
Claude Desktop
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"
}
}
}
}
Cursor
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"
}
}
}
}
VS Code (GitHub Copilot)
Add to .vscode/mcp.json:
{
"servers": {
"applyra": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@applyra/mcp-server"],
"env": {
"APPLYRA_API_KEY": "your_api_key"
}
}
}
}
Claude Code
claude mcp add applyra -e APPLYRA_API_KEY=your_api_key -- npx -y @applyra/mcp-server
Codex
Note --env, where Claude Code takes -e.
codex mcp add applyra --env APPLYRA_API_KEY=your_api_key -- npx -y @applyra/mcp-server
Windsurf
Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"applyra": {
"command": "npx",
"args": ["-y", "@applyra/mcp-server"],
"env": {
"APPLYRA_API_KEY": "your_api_key"
}
}
}
}
Available Tools
| 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 |
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 |
Learn more
- Applyra: ASO for indie developers, with a permanent free plan
- MCP setup guide (requires an account)
- REST API documentation (requires an account)
License
MIT. See LICENSE.
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